Journal of Clinical Oncology (JCO) Podcast
The Journal of Clinical Oncology podcast, hosted by Dr. Shannon Westin and Dr. Davide Soldato, presents analyses and discussions centered on the latest findings published in ASCO’s esteemed Journal of Clinical Oncology. Through scholarly discourse and examination, this podcast is your resource for navigating oncological advancements and how they impact clinical practice. The JCO Podcast also features in depth summaries and interviews hosted by the year’s fellows in the series, JCO Article Insights.
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JCO Article Insights: Pooled Taletrectinib Efficacy and Safety
06/30/2025
JCO Article Insights: Pooled Taletrectinib Efficacy and Safety
In this JCO Article Insights episode, host Peter Li summarizes "" by Pérol et al, published April 03, 2025, followed by an interview with first author, Dr Maurice Pérol. TRANSCRIPT The disclosures for guests on this podcast can be found in the show notes. Dr. Peter Li: Welcome to this episode of . I am Dr. Peter Li, JCO’s editorial fellow, and today I am joined by Dr. Maurice Pérol on “,” by Pérol et al. At the time of this recording, our guest has disclosures that will be linked in the transcript. Before we start our interview, I want to give our listeners a quick summary of the TRUST study. For those tuning in, the TRUST study is a phase II, single-arm, open-label, nonrandomized, multicenter trial looking at the efficacy and safety of a novel, next-generation ROS1 TKI, taletrectinib, in advanced ROS1-mutated non–small cell lung cancer. While a relatively rare mutation, the prevalence of ROS1 mutations ranges from 0.9% to 2.6% of patients, with a third of patients presenting with brain mets at diagnosis.Current FDA-approved therapies include crizotinib, entrectinib, and repotrectinib, which have varying degrees of efficacy, in-coming with trade-offs in CNS penetrance and safety with newer generations, particularly in the realm of neurological side effects, highlighting an unmet need in this arena. A total of 273 patients with advanced non–small cell lung cancer with confirmed ROS1 mutation were recruited for this study. 160 patients were TKI-naive, while 113 were TKI-experienced with either crizotinib or entrectinib. Patients with asymptomatic brain mets were also allowed to enroll. In the TKI-naive arm, the median age was 57, with 91% of patients having stage IV disease, 20% having no more than one cycle of chemo, and 23% having brain mets at baseline. In the TKI-experienced arm, the median age was 53, with 97% having stage IV disease, 37% having received prior chemo, and about 50% having brain mets. Furthermore, about 10% of the study population had received entrectinib, while more than 90% had received crizotinib. About 10% had a known G2032R acquired resistance mutation. Taletrectinib was dosed at 600 mg daily until disease progression or unacceptable toxicities. The primary endpoint was overall response rate, with secondary endpoints being disease control rate, duration of response, time to response, and progression-free survival. For those with brain mets, intracranial overall response rate and disease control rate were also assessed. Median follow-up time was about 21 months in both cohorts. In the TKI-naive cohort, the overall response rate was 89%, with 8 patients achieving a complete response. Disease control rate was 95%, with a median duration of response of 44.2 months. Time to treatment response was about 1.5 months. Median progression-free survival was 45.6 months, with 52.6% not having progressed at 3 years. While overall survival data were immature, 66% of patients were still alive at 3 years. In the pretreated cohort, overall response rate was 56%, with 5 patients achieving a complete response. Overall response rate was 53% for those who were crizotinib-pretreated and 80% for the entrectinib-pretreated patients. Disease control rate was 88%, and median duration of response was about 16.5 months. Time to treatment response was also 1.5 months, and median progression-free survival was 9.7 months. Median overall survival was not reached, but 77.5% of patients were still alive at 1 year. Responses were consistently seen across subgroup analyses. 17 TKI-naive and 32 TKI-pretreated patients had measurable brain mets. In the TKI-naive arm, intracranial overall response rate was 77%. Disease control rate was 88%, and duration of response was 15 months. In the TKI-pretreated arm, intracranial overall response was 66%, with one patient achieving complete response. The disease control rate was 94%, and duration of response was about a year. For the 13 patients who had a known G2032R mutation, a 62% response rate was noted. Most common treatment-related side effects were AST/ALT elevation, nausea, and vomiting, with most being grade 1 or 2. Most common neurological side effects were dizziness, dysgeusia, and headache. Again, most were grade 1. QTc prolongation is another important adverse event to note, occurring in about 18% of all patients. Discontinuation rate from treatment was only 7%. There were three treatment-related deaths in this study: one from hepatic failure, one from pneumonia in the naive arm, and one from liver dysfunction in the pretreated arm. Dr. Peter Li: Maurice, thank you so much for joining us today to talk about your paper. Would you mind just giving yourself a brief introduction to the listeners out there of who you are? Dr. Maurice Pérol: So, my name is Maurice Perol. I'm a thoracic oncologist working in the Cancer Center of Lyon in France. And I'm involved in clinical research in thoracic oncology. I've been involved for many years now. Dr. Peter Li: Okay. And for listeners out there, don't forget, he's also the primary author of the paper that we just talked about. So, Maurice, let's begin. Can you tell our listeners what is the significance of your study? Dr. Maurice Pérol: Well, the results of these two large phase II studies - TRUST-I, which has been conducted in China, and TRUST-II, which was a global, worldwide phase II study - so, the results place taletrectinib as the TKI with the most favorable efficacy-tolerability ratio of the available ROS1-targeting TKIs, especially in frontline therapy. And this is based on the response rate, which was very impressive, the CNS penetration with a great CNS activity, the duration of response with a compelling 45 months median PFS in frontline setting. The level of activity in pretreated patients after crizotinib or entrectinib was also impressive and similar to that of repotrectinib, for example, but with a more favorable neurological tolerance profile. The toxicity is mainly represented with grade 1 or 2 transaminase elevation, but without clinical symptoms, and GI toxicity, but mainly grade 1 and 2. The neurological toxicity is low, especially for dizziness, showing that taletrectinib spares TrKB in a large part. And finally, there is also a decrease in toxicity over time, especially for GI toxicity and liver toxicities, which allows a very long and a prolonged administration, which is very important in this setting. Dr. Peter Li: These are all excellent points. Can you tell the listeners if there are any limitations that we should be concerned about, about this study? Dr. Maurice Pérol: Sure. This data comes from single-arm phase II studies. So, this is not comparative data. And a phase III trial, which compares taletrectinib to crizotinib, is ongoing to evaluate the superiority of taletrectinib over the standard of care. Another limitation comes from the lack of systematic brain imaging at each tumor evaluation in patients without brain metastases at baseline, not allowing to assess the intracranial PFS in all patients, and which did not allow us to assess the CNS protective issue from taletrectinib, especially in patients without brain metastases at baseline. Dr. Peter Li: Another question that I have is, with this novel TKI now available, how would you recommend the sequencing of these drugs? Would you start with someone on an alternate TKI and then reserve taletrectinib second line or later? Or would you use it upfront? Or does it depend? Dr. Maurice Pérol: Well, it is a very important question, as we have now different available TKIs. Looking at the efficacy-toxicity balance, I would strongly favor the use of taletrectinib in frontline setting, in first line. The response rate, the CNS activity, the duration of response with a very compelling 45 months median PFS, and moreover, the good tolerance profile over time are strong arguments in favor of giving taletrectinib in frontline. Generally speaking, the use of the most active agent as frontline treatment in lung cancer depending on an oncogenic addiction is probably the best way to improve the patient's outcome. This is true for patients with EGFR mutation, for patients with ALK fusions, and this is probably also true for patients with ROS1 fusion. So, I would probably argue in favor of a frontline use of taletrectinib. Dr. Peter Li: Listeners are going to ask, well, if you use taletrectinib upfront, then what are you going to use second line once they progress? Dr. Maurice Pérol: Well, we have some new compounds which are under development today. For example, the NVL-520, which is a very interesting compound, which seems also to be active in case of resistance mutation. But I do think that we have to use the best-in-class TKI in frontline because, you know, the extension of PFS after acquired resistance you can obtain with a second-line TKI is always shorter than the benefit you can obtain by using the most active agent in frontline. And this is true for the majority of oncogenic addiction in lung cancer. Dr. Peter Li: That makes sense. I also noticed that cognitive impairment wasn't listed in the safety table. Is that not an issue that you've observed at all with taletrectinib, or is it still an issue but less so because, like you mentioned earlier, because of its higher selectivity? Dr. Maurice Pérol: Well, this is a good question because we have some ROS1-targeting TKIs like repotrectinib, entrectinib, and even lorlatinib, with some neurological adverse events and some cognitive issues. Taletrectinib is a very selective ROS1-targeting TKI, and it spares very well the TrKB, for example, explaining that we did not observe any cognitive impairment with taletrectinib in the TRUST study, showing also with the low level of other neurological adverse events, dizziness, dysgeusia, for example, the high selectivity of the compound and the preservation of TrKB. So, this is very important when you consider the long duration of treatment in those patients with ROS1 fusion. If you have to take a drug for more than 2, 3, or 4 years, of course, the neurological adverse events are very important, and they can clearly impair the quality of life. So, this is a very important point, the very low level of neurological toxicity of taletrectinib. Dr. Peter Li: And I think that goes to say why you would favor using it frontline as well compared to entrectinib or repotrectinib. Last question that we have for you is: well, what's next? You mentioned there's a phase III trial comparing it to crizotinib. I think one of the questions that a lot of us would have is: why not compare it to one of the newer agents as a comparator arm? Dr. Maurice Pérol: Well, this is a good question. Crizotinib remains the standard of care in many countries for ROS1-positive advanced non–small cell lung cancer outside of the US, especially in Europe, and in particular in patients who do not have brain metastases at diagnosis. Entrectinib has a better CNS penetration, but it did not achieve a better PFS than crizotinib in phase I/II trials, and clearly, it has a less favorable tolerance profile with weight gain, edema, and neurological adverse events. Repotrectinib has overall a level of activity which seems close to that of taletrectinib. So, it makes it difficult to consider a comparative trial that would, for example, test taletrectinib in comparison with repotrectinib because this kind of study would need a very large number of patients and a very late readout. Considering if you have a median PFS of more than 3 or 4 years, it would be very difficult to have results in before 4-5 years. So, from a pragmatic point of view, the comparison of taletrectinib to crizotinib is probably the best way to evaluate in a phase III setting the level of activity of taletrectinib, especially in the CNS, because this study will probably allow us to assess the CNS protective effect of the compound for patients without brain metastates at baseline. So, I think probably it's a pragmatic study that will allow us to confirm the high level of activity and the good tolerance profile of taletrectinib. Dr. Peter Li: Well, thank you, Maurice, so much for speaking about the JCO article, “Taletrectinib in ROS1-Mutated Non–Small Cell Lung Cancer: TRUST,” and for all your valuable input today. Thank you for listening to Please come back for more interviews and article summaries, and be sure to leave us a rating and review so others can find our show. For more podcasts and episodes from ASCO, please visit . The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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JCO at ASCO Annual Meeting: Neoadjuvant Osimertinib for Resectable EGFR-Mutated NSCLC
06/02/2025
JCO at ASCO Annual Meeting: Neoadjuvant Osimertinib for Resectable EGFR-Mutated NSCLC
JCO Editorial Fellow Dr. Ece Cali Daylan and JCO Associate Editor Dr. Thomas Stinchcombe discuss the ASCO 2025 Simultaneous Publication paper "." Transcript The guest on this podcast episode has no disclosures to declare. Dr. Ece Cali: Hello, and welcome to our 2025 ASCO Annual Meeting series, where we cover some of the top JCO papers published simultaneously with their abstract presentation at this year's meeting. I'm your host, Dr. Ece Cali, JCO Editorial Fellow, and I am joined by JCO Associate Editor, Dr. Tom Stinchcombe. In this episode, we will discuss the Journal of Clinical Oncology article and abstract presentation ".” NeoADAURA is a randomized global phase III study investigating the efficacy of neoadjuvant osimertinib-containing regimens in patients with resectable EGFR-mutated stage II to IIIB non–small-cell lung cancer. 358 patients were randomized 1:1:1 to receive osimertinib plus chemotherapy, osimertinib monotherapy, or placebo plus chemotherapy in the neoadjuvant setting. The primary endpoint was major pathological response. Osimertinib plus chemotherapy and osimertinib alone demonstrated MPR rates of 26% and 25%, respectively, compared to 2% in the chemotherapy plus placebo arm with a p-value of less than 0.001. Tom, can you please explain to our listeners how you interpret this data? Dr. Thomas Stinchcombe: Great question. Yeah, I think to give a little context, obviously, chemotherapy and immunotherapies preoperatively is becoming the standard of care. However, patients with EGFR-mutant lung cancer generally have not responded to immunotherapy, and many of the trials excluded patients with known EGFR mutation. There have been smaller phase II trials that had looked at EGFR TKIs preoperatively, but none of these were definitive. So I think that this trial is a big trial, and I think some of the strengths are that it has osimertinib alone and chemotherapy with osimertinib arms as compared to the standard of chemotherapy. I think it's going to be really interesting at the meeting to see how this is discussed by the discussant and also what the reaction is to its public presentation. And I think that's largely because there's an alternative paradigm now, surgical resection adjuvant osimertinib, that's available to patients. So I think this will be interesting to see what the reaction is to the induction therapy. For patients with known N2 disease, I've generally given some form of induction therapy prior to surgical resection. So I think that's the subgroup of patients that I'm most likely to employ this approach with based on the results. Dr. Ece Cali: So, in this trial, more than 90% of the patients on the osimertinib-containing regimens underwent curative-intent surgery. So, this speaks to the feasibility of the approach, and the higher MPR rate with osimertinib-containing regimens is encouraging. Event-free survival data is currently immature. You have already touched upon some of the strengths of the trial, but what are the weaknesses and the strengths of this trial? Dr. Thomas Stinchcombe: So, I mean, I think there are some weaknesses. A major pathological response was chosen as an endpoint, and there could be an argument that path CR is more of a prognostic marker. However, the rates of path CR are relatively low, so it would have been very hard to design a trial such as that. And then I think the trial started off as a preoperative trial but effectively became a perioperative trial with preoperative EGFR-TKI, postoperative osimertinib. And so I think it's going to be very hard to determine what the contribution of the components are. And then you've hit on another part that I think is very important when we interpret the data that the maturity on the event-free survival is only 15%, and most people are still on therapy. So the event-free survival, which is an important endpoint, is very immature right now. Dr. Ece Cali: And this trial was designed to compare the neoadjuvant approaches, hence the comparator arm here is neoadjuvant chemotherapy followed by surgery. So, considering the ADAURA trial results with upfront surgery followed by osimertinib as adjuvant, so how do you see this trial's impact on the current clinical practice? Dr. Thomas Stinchcombe: Well, very good question, I think one that we're still struggling with as we kind of look at this data. I think, for me, stage II patients will most likely go to surgery and then get adjuvant osimertinib, and then maybe the N2 patients will get an osimertinib-containing regimen as an induction therapy. I think one of the questions is does it really matter when you get the osimertinib as long as you get it at some point? And I think that's going to be the critical interpretation of some of the data at this point. Dr. Ece Cali: And how do you think this trial shapes the future research for patients with resectable EGFR-mutated lung cancer? Dr. Thomas Stinchcombe: Well, I mean, I think it shows that chemotherapy was really modestly active with an MPR rate of 2%, no pathological responses. And then I think you're going to have to look at an osimertinib plus another targeted therapy component. I think, you know, when I looked at the osimertinib versus the chemo-osimertinib arm, I also was sort of surprised that the MPR rate and the path CR rate were very, very similar. So I think that the question is would a double targeted therapy approach or some other approach matter? And I think it also sets a safety standard. And you touched on this in your comments, that there was not a disparity in terms of the rate of going to surgery or R0/R1 resections. So patients were not having progressive disease events or toxicities that prevented surgery. So I think it does give us good safety data. Dr. Ece Cali: Tom, thank you so much for sharing your insights on the JCO article, "Neoadjuvant Osimertinib for Resectable EGFR-Mutated Non–Small-Cell Lung Cancer." Join us again for the latest simultaneous publications from the 2025 ASCO Annual Meeting, and please take a moment to rate, review, and subscribe to all ASCO podcast shows at asco.org/podcasts. Until then, enjoy the rest of ASCO 2025. The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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JCO at ASCO Annual Meeting: Use of Low-Value Cancer Treatments in Medicare
05/31/2025
JCO at ASCO Annual Meeting: Use of Low-Value Cancer Treatments in Medicare
JCO Editorial Fellow Dr. Lauren Shih and JCO Associate Editor Dr. Stephanie Wheeler discuss the ASCO 25 Simultaneous Publication paper "Use of Low-Value Cancer Treatments in Medicare Advantage Versus Traditional Medicare." Transcript The guest on this podcast episode has no disclosures to declare. Dr. Lauren Shih: Hello, and welcome to our 2025 ASCO annual meeting series where we cover some of the top JCO papers published simultaneously with their abstract presentations at this year's meeting. I'm your host, Dr. Lauren Shih, JCO editorial fellow, and I'm joined by JCO Associate Editor Dr. Stephanie Wheeler to discuss the Journal of Clinical Oncology article and abstract presentation "." Let's start with the relevance of the article. Dr. Wheeler, can you explain this to our listeners? Dr. Stephanie Wheeler: Thank you so much. Let's get right into it. So this article is really about understanding different types of Medicare plans and what we should expect to see in terms of their use of low-value treatments for cancer patients. So, as Medicare really is focused on trying to limit the use of low-value cancer treatments, we really need to better understand the drivers of variability. So we know that many cancer patients have multiple treatment options available to them. We also know that the vast majority of older adults beyond age 65 are insured by Medicare, and about half of them are on Medicare Advantage plans, which are serviced by private insurance. And private insurance companies in this case are receiving capitated payments for Medicare beneficiaries to manage their service utilization and reduce costs. So, with respect to Medicare Advantage versus the traditional fee-for-service Medicare, it's not really been known to what extent low-value treatments are differentially used by these types of plans for cancer patients. And so that was really the focus of this article. What the authors found is that across six different types of treatments, in general, the folks who were enrolled in Medicare Advantage plans had reduced use of low-value treatment. So that's a good sign for Medicare beneficiaries. And although the relative difference in that use was somewhat low, this translates to a significant number of Medicare enrollees across the country not receiving these low-value treatments. And of course, this translates to considerable savings at the society level. Dr. Lauren Shih: Are there any additional key results that we should review? Dr. Stephanie Wheeler: Yeah. So I'll tell you just a little bit more about the methods and also their findings. So they looked at six different low-value treatments, and this was in, again, 100% of national Medicare enrollees from 2015 through 2021. So the six low-value treatments that they examined were the use of G-CSFs among patients receiving low-risk chemotherapy and denosumab for those who had castration-sensitive prostate cancer. Then they also looked at four high-cost treatments, including using nab-paclitaxel instead of paclitaxel for patients with breast or lung cancer; second, adding bevacizumab to carboplatin plus paclitaxel for ovarian cancer; third, using brand-name drugs instead of generics when generics were available; and fourth, using biologics instead of biosimilars when biosimilars were available. And these are all, by the way, non-recommended treatments according to a variety of guidelines, including NCCN and ASCO's Choosing Wisely guidelines. So they used the Medicare claims data to examine use of these regimens. They also analyzed results by type of Medicare Advantage plan, whether people were enrolled in a health maintenance organization plan, or an HMO, or a preferred provider organization plan, or a PPO. They also looked at the largest Medicare Advantage insurers—including Aetna, Blue Cross Blue Shield, Cigna, Humana, and UnitedHealth—and limited their analyses to those that had complete encounter data. And what they found across the board is that the enrollees in Medicare Advantage plans generally had lower use of these low-value treatments. And the largest differences between Medicare Advantage and traditional Medicare plans were in the outcomes, including G-CSF use and using denosumab for castration-resistant prostate cancer, and then the combination of bevacizumab, carboplatin, and paclitaxel versus carboplatin and paclitaxel. And all of these had a change in use ranging from about 19% change to 24% change in use. This is significant as a field as we look at ways in which different plan organization can influence use of treatments, particularly given the excess cost of cancer care. This is something we really want to pay attention to. So I'd encourage folks to look more closely at the results by treatment type as well as the results by plan type to see a little bit more about what was going on across different plan types. Dr. Lauren Shih: Great. And are there any outstanding questions that need to be answered? Dr. Stephanie Wheeler: Yes, there always are, of course. I think the study has several strengths that are worth noting. First, they have 100% of Medicare enrollees, so there's national coverage there, which is, you know, quite outstanding. They also use an appropriate choice of analysis to help deal with some of the selection. So they use inverse probability of treatment weights, and they control for practice and county indicators to try to get some realistic adjustment for the selection that happens in terms of how patients are enrolled in different Medicare Advantage versus traditional fee-for-Medicare plans. These statistical approaches are a good idea, but they are limited by the observed variables that we can use for these kinds of adjustments. And so any unobserved—confounding or any unobserved factors that would influence selection in these plans aren't going to be captured well. So preferences, for example, that patients may have about different types of plans when they're insuring themselves and their families may not be captured. Second, the data that are used are only encounter data from those plans with complete records. That may mean that smaller Medicare Advantage insurers or those that don't have as comprehensive records are not included. So this may not be reflective of their practice patterns. And then third, of course, this only looked at six different low-value cancer treatments. It remains to be seen whether this kind of finding extends to other types of low-value cancer treatments, and that's an opportunity for future study. Finally, I would say that we don't exactly know why these patterns exist. It could be that Medicare Advantage plans have different approaches to prior authorization. They could have more in-house quality control and management to really understand, among their population for whom they're receiving Medicare Advantage payments, to really look at care quality and assess Choosing Wisely guidelines. We don't know exactly how that's playing out. And so we need additional data to really figure out what's working here and what are opportunities for future policy and payment innovations that can further reduce low-value care. Dr. Lauren Shih: Great. Thank you so much, Dr. Wheeler, for speaking to us about the JCO article, "Use of Low-Value Cancer Treatments in Medicare Advantage Versus Traditional Medicare." We really appreciate your insights. Dr. Stephanie Wheeler: Thanks for having me. Dr. Lauren Shih: Join us again for the latest simultaneous publications from the ASCO 2025 Annual Meeting. Please take a moment to rate, review, and subscribe to all ASCO podcast shows at asco.org/podcasts. Until then, enjoy the rest of ASCO 2025. The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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JCO at ASCO Annual Meeting: Avelumab Plus Cetuximab vs. Avelumab in Advanced cSCC
05/31/2025
JCO at ASCO Annual Meeting: Avelumab Plus Cetuximab vs. Avelumab in Advanced cSCC
JCO Editorial Fellow Dr. Ece Cali Daylan and JCO Associate Editor Dr. Grant McArthur discuss the ASCO 2025 Simultaneous Publication paper "." Transcript The guest on this podcast episode has no disclosures to declare. Dr. Ece Cali: Hello, and welcome to our 2025 ASCO Annual Meeting series where we cover some of the top JCO papers published simultaneously with their abstract presentation at this year's meeting. I'm your host, Dr. Ece Cali, and I'm joined by JCO Associate Editor Dr. Grant McArthur. Today, we will discuss Journal of Clinical Oncology article and abstract presentation "." Let's start with a brief overview of the clinical trial. This is a randomized phase II trial that compared avelumab plus cetuximab to avelumab in PD-1/PD-L1 antibody-naive patients with advanced cutaneous squamous cell carcinoma. This is a cooperative group study conducted in the United States. Sixty patients were randomized one-to-one and stratified by PD-L1 and HIV status. The primary endpoint was progression-free survival. Patients on the cetuximab plus avelumab arm had a median PFS of 11.1 months, while patients on the avelumab arm had a median PFS of 3 months, corresponding to a hazard ratio of 0.48 with a p-value of 0.018. Grade III or higher treatment-related adverse events occurred in 48% of the patients on the combination arm versus 21% of patients on the avelumab arm. Dr. McArthur, can you please explain to our listeners how you interpret this data? Dr. Grant McArthur: These results are very important because they provide proof of concept for inhibiting PD-L1 as a target when combined with EGFR, so inhibiting PD-L1 with avelumab and inhibiting EGFR with cetuximab, in a randomized trial with a very significant impact in terms of efficacy. So, what this does is it provides proof of concept for inhibiting those targets in cutaneous squamous cell carcinoma of the skin. Avelumab is not approved for cutaneous squamous cell carcinoma of the skin, and so further studies would need to be done, particularly asking the question about combination with the approved PD-1 agents cemiplimab and pembrolizumab. Dr. Ece Cali: I still find the difference in median PFS with various PD-1/PD-L1 inhibitors striking in this context. In this trial, avelumab, as you mentioned, the PD-L1 inhibitor, demonstrated a median PFS of 3 months, whereas PD-1 inhibitors cemiplimab and pembrolizumab have demonstrated longer median PFS in other trials. So, what are some potential reasons for this, and do you think this difference impacts the interpretation of the results here? Dr. Grant McArthur: So, the obvious reason for the differences is that avelumab targets PD-L1, where pembrolizumab and cemiplimab inhibit PD-1, so there could be simply a difference in the target to explain those differences in progression-free survival. However, as you point out, cross-trial comparisons, one has to do with caution because you can, in different phase II studies, enroll different patient populations, which would impact the progression-free survival. So, we have to be cautious about that interpretation. However, given that cemiplimab and pembrolizumab are the approved agents, I think they are the logical ones for further clinical development. Nonetheless, this is still a very important proof-of-concept trial showing that there is a strong clinical signal when you combine EGFR inhibition with inhibition of PD-L1 versus PD-L1 alone. Dr. Ece Cali: I want to highlight some of the safety data presented in this trial as well. The treatment discontinuation rate due to adverse events was much higher in the combination arm, reaching 31% compared to the 14% in the single-agent avelumab arm. The most common grade III adverse events were infusion reaction, rash, and diarrhea in the combination arm. So, these adverse events may affect patients' quality of life significantly. So, what are your thoughts on this, Dr. McArthur? Dr. Grant McArthur: So, the safety data is important. What we're seeing is safety related to each individual agent. So, we have diarrhea and skin rash from the cetuximab, and the infusion reactions is a common toxicity of avelumab. I think what's important, given this is proof of concept inhibiting these targets going forward to further studies, is that agents such as cemiplimab and pembrolizumab have a very low infusion reaction rate. So, the treatment discontinuations due to infusion reaction are unlikely to be an issue with cemiplimab and pembrolizumab when further clinical trials are done. Of course, there is still the issue of diarrhea and skin rash. Now, that can be managed in many patients with EGFR inhibition, you know. However, one would have to await safety data from a significant patient cohort with a combination of cetuximab with either cemiplimab or pembrolizumab, of course, to assess the clinical impact of those safety signals. But I would expect there to be definitely rash and diarrhea as predominant toxicities with those other combinations as well. Dr. Ece Cali: And lastly, I think we touched upon this a little bit, but how do you think this trial impacts the clinical practice, and what are some outstanding questions that need to be addressed in this field in light of the data from this trial? Dr. Grant McArthur: So, the most important outstanding question is - of course, we've already alluded to in our conversation - regarding using anti-PD-1 agents such as pembrolizumab or cemiplimab. So, that needs to be undertaken. Clearly, a randomized trial would be required combining cetuximab with those agents because they are quite active as single agents with impressive response rates and PFS. So, that is the way forward. There's other important clinical questions as well, though. So, patients that get locally aggressive or metastatic cutaneous squamous cell carcinoma of the skin are often immunosuppressed. And so, we do need data in patients that are immunosuppressed, either due to treatment of immune-related disorders - and also organ transplantation. We see a lot of cutaneous squamous cell carcinoma in organ transplant patients. So, these are important patient subsets that would also need to be investigated in further clinical development. However, overall, you know, this is a strong signal, hazard ratio of less than 0.5, and very worthy of further investigation in randomized trials of inhibiting these targets. Dr. Ece Cali: This was a great discussion. Thank you so much for your insight, Dr. McArthur, for speaking about the JCO article "A Phase II Randomized Trial of Avelumab Plus Cetuximab Versus Avelumab Alone in Advanced Cutaneous Squamous Cell Carcinoma." Join us again for the latest simultaneous publications from the 2025 ASCO Annual Meeting. Please take a moment to rate, review, and subscribe to all ASCO podcast shows at asco.org/podcasts. Until then, enjoy the rest of ASCO 2025. The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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JCO at ASCO Annual Meeting: TTFields in Locally Advanced Pancreatic Adenocarcinoma
05/31/2025
JCO at ASCO Annual Meeting: TTFields in Locally Advanced Pancreatic Adenocarcinoma
JCO Editorial Fellow Peter Li and JCO Associate Editor Eileen O'Reilly discuss the ASCO 25 Simultaneous Publication paper "." Transcript The guest on this podcast episode has no disclosures to declare. Dr. Peter Li: Hello, and welcome to our 2025 ASCO Annual Meeting series, where we cover some of the top JCO papers published simultaneously with their abstract presentation at this year's meeting. I'm your host, Dr. Peter Li, and I'm joined by JCO Associate Editor Dr. Eileen O'Reilly to discuss the Journal of Clinical Oncology article and abstract presentation "." Now, let's start with the relevance of the article. Eileen, can you explain this study to our listeners? Dr. Eileen O'Reilly: Thanks very much, Peter, for the invitation today to discuss this. Yes, so this is a positive phase 3 trial that was conducted in locally advanced, unresectable pancreas cancer. Patients were randomized to receive either gemcitabine and nab-paclitaxel, international standard, with or without tumor-treating fields. And this is a device like a battery pack that you would wear with a goal to wear that approximately 18 hours a day. And the primary endpoint of this study was overall survival, with key secondary endpoints of tumor response, progression-free survival, looking at pain-free survival, and distant progression-free survival. So, the primary endpoint was met with a median overall survival of 16.2 months compared to 14.2 months on the intervention versus control arm, with a hazard ratio of 0.82. And so that met the pre-specified boundary. There was not an increase in progression-free survival, but there was an increase in control of pain on the tumor-treating fields study. So, it was a large, global study, community, academic sites, randomized 570 people, and it supports what I think we've seen in other difficult-to-treat malignancies using tumor-treating fields, that there's a signal of interest. Dr. Peter Li: Can you speak to some of the strengths and weaknesses of this study? Dr. Eileen O'Reilly: So, strengths: it was a large study. It included community sites, it included academic sites. It included ECOG performance status 0, 1, and some patients with 2. The intent was locally advanced. It probably is fair to say that there were some patients who had more advanced disease based on early progression, based on relatively high CA 19-9 for a percentage of people. But likely that was, with random assignment, that would have presumably fallen out between the arms. The inclusion of patients with a lower performance status is nice to see in large phase 3 studies in pancreas cancer. So, they would be some of the strengths. So maybe some of the limitations are the fact that it's an open-label study - so, always some biases inherent in that. Acknowledging that the primary endpoint was overall survival, presumably that wouldn't be directly influenced by that. And there was an imbalance of women on the control arm, and women do fare a little better in this disease, so possibly kind of weighted one of the study arms a little bit. But nonetheless, I think it was a rigorously designed and rigorously conducted phase 3 trial. It's always hard to fully interpret the signal in locally advanced disease because of the fact that some patients go on to surgery, some patients have a treatment switch of cytotoxic therapy, some patients will go on to radiation. And the endpoint here of overall survival, to a degree, eliminates some of that. So, the benchmark, I think, was generally high here. Dr. Peter Li: Gotcha. And then with these findings and this positive study, how do you foresee this research being implemented and how it will impact clinical practice moving forward? Dr. Eileen O'Reilly: I think there'll be an educational need to introduce this approach to the community and to the pancreas cancer world. Again, there's a precedent in glioblastoma and data from other diseases, so there's some familiarity with this. I think people always want to understand how it works and why it works, and that's something that we'll look forward to hearing more about mechanistically, and also seeing how it can be built upon. And there's some intriguing data with the combination of tumor-treating fields and immunotherapy that's being evaluated in the PANOVA-4 study. So, we'll stay tuned to hear how that reads out in due course. But I think overall, it'll be educational and learning, managing the cutaneous impacts or some skin irritation effects from this, and building on this signal in locally advanced disease. Dr. Peter Li: Well, thank you so much, Eileen, for your time and for speaking about the JCO article, "Tumor Treating Fields with Gemcitabine and Nab-Paclitaxel for Locally Advanced Pancreatic Adenocarcinoma: Randomized, Open-Label, Pivotal, Phase 3 PANOVA-3 Study." Join us again for the latest simultaneous publications from the 2025 ASCO Annual Meeting. Please take a moment to rate, review, and subscribe to all ASCO podcast shows at asco.org/podcasts. Until then, enjoy the rest of ASCO 2025. The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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JCO at ASCO Annual Meeting: Lenvatinib Plus Pembrolizumab and Chemotherapy in Gastric Cancer
05/31/2025
JCO at ASCO Annual Meeting: Lenvatinib Plus Pembrolizumab and Chemotherapy in Gastric Cancer
JCO Editorial Fellow Dr. Peter Li and JCO Associate Editor Dr. Andrew Ko discuss the ASCO 25 Simultaneous Publication paper "." Transcript The guest on this podcast episode has no disclosures to declare. Dr. Peter Li: Hello, everyone, and welcome to our 2025 ASCO Annual Meeting Series where we cover some of the top JCO papers published simultaneously with their abstract presentation at this year's meeting. I'm your host, Dr. Peter Li, JCO Editorial Fellow, and I'm joined by Dr. Andrew Ko, JCO Associate Editor, to discuss the Journal of Clinical Oncology article and abstract presentation "." Now, let's start off with the relevance of this article. Andrew, can you please explain this to our listeners? Dr. Andrew Ko: Sure. Thanks, Peter. So, this was a very large international study evaluating the combination of lenvatinib and pembrolizumab. And just for context, that combination has been approved for use in other solid tumor types. It's FDA approved for renal cell carcinoma, for example, and endometrial carcinoma. But this study was looking specifically at this combination together with a chemotherapy backbone - so either FOLFOX or CAPOX - and comparing that to what at the time was a standard of care, which was just standard chemotherapy by itself. So, this very large study was intending to look at this particular novel combination. And we can get into some of the nuances of this study because the way that the experimental, the combination arm, was designed was perhaps a little bit more on the unusual side and led to maybe some imbalance in terms of how we think about the respective arms. Dr. Peter Li: Okay. We can definitely talk more about that as we go on. So, what are some of the key results of this study, and how do you think this will impact practice in the future? Dr. Andrew Ko: That's a good question. Technically, it was not a positive study. Well, it was positive in the sense that the co-primary endpoints - which included both progression-free survival and overall survival - so, progression-free survival, it did technically meet its endpoint, both in terms of the overall population and the preplanned subgroup analysis of patients who had a PD-L1 CPS of greater than or equal to 1. So, there was a PFS benefit with the experimental combination - the lenvatinib, pembrolizumab, plus chemotherapy - compared to chemotherapy alone. I will say the benefit was on the more modest side. So, if you even look at the medians, it was not a marked difference. If you look at the hazard ratios, they did meet statistical significance. On the other hand, this did not translate into a benefit for overall survival. So, when you ask, "Well, is this going to inform practice?" I'd have to say no. It highlights, I think, that JCO does want to publish articles that aren't necessarily going to be practice-changing, but that I think offer a lot of insights into trial design and important aspects of investigating novel treatments, even if they don't end up moving the needle in routine clinical practice. Dr. Peter Li: I totally agree with you. I mean, it was significant in terms of progression-free survival, but again, not clinically significant. And then overall survival, the interventional arm actually appeared to do slightly worse overall. Can you make some comments on the strengths and the weaknesses of this study, and where do you see us going from here? Dr. Andrew Ko: So, I think a couple of things worth highlighting in this study, very well designed, more than 800 patients in total. So, first of all, as I mentioned at the beginning, the combination was a little bit unique in terms of patients enrolled to the experimental arm got the combination of lenvatinib, pembrolizumab, together with chemotherapy for a very finite duration. So, that period of chemotherapy they received was only three months. And per protocol, patients then just segued to, quote unquote “maintenance treatment” with just the lenvatinib and pembrolizumab combination. Whereas patients on the control arm, meaning chemotherapy alone, would continue chemotherapy basically in perpetuity until their disease progressed or intolerable toxicity. So, there really was an imbalance in terms of, if you think that chemotherapy or continuing chemotherapy beyond that initial three-month period of time may be significant, that could have had some impact on the robustness or the efficacy of the experimental arm. There were some other aspects in terms of perhaps some differences in the rates of post-progression treatment, in other words, patients going on to receive second-line treatment. I think the other very relevant aspect, Peter, in this study was that the control arm - and no fault of the investigators - but the control arm at the time the study was ongoing just consisted of chemotherapy, FOLFOX CAPOX, by itself, without an immune checkpoint inhibitor, right? And we clearly know, based on results of several large phase III studies, and it's now in standard clinical practice, that we routinely use chemotherapy plus an immune checkpoint inhibitor. Certainly for patients with CPS PD-1/PD-L1 scores that are, well, you could argue greater than 1, or perhaps greater than 5 or 10. But the point being that the control arm of the study probably doesn't reflect what is currently used in clinical practice. And that's just always a challenge in clinical trial design, right? That when a study is designed and when it rolls out, you're always at risk in a rapidly changing and moving field that the standard of care may evolve during the lifetime of that particular trial, which is what I think you see in LEAP-015. Dr. Peter Li: Totally understand. And the survival we see from this study is also roughly similar to the combination of immuno-chemotherapy that is the standard of care today, which is, the authors mentioned, 12 to 14 months. Thank you so much, Andrew, for your input and for speaking about the JCO article "Lenvatinib Plus Pembrolizumab and Chemotherapy Versus Chemotherapy in Advanced Metastatic Gastroesophageal Adenocarcinoma: The Phase III Randomized LEAP-015 Study." Join us again for the latest simultaneous publications from the 2025 ASCO Annual Meeting. Please take a moment to rate, review, and subscribe to all ASCO podcast shows at asco.org/podcasts. Until then, enjoy the rest of ASCO 2025. The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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JCO Article Insights: Double Hit Myeloma Correlates With Adverse Patient Outcome
05/29/2025
JCO Article Insights: Double Hit Myeloma Correlates With Adverse Patient Outcome
In this JCO Article Insights episode, host Michael Hughes summarizes "Co-Occurrence of Cytogenetic Abnormalities and High-Risk Disease in Newly Diagnosed and Relapsed/Refractory Multiple Myeloma" by Kaiser et al, published February 18, 2025, followed by an interview with JCO Associate Editor Suzanne Lentzsch. Transcript Michael Hughes: Welcome to this episode of . This is Michael Hughes, JCO's editorial fellow. Today I have the privilege and pleasure of interviewing Dr. Suzanne Lentzsch on the “” by Dr. Kaiser and colleagues. At the time of this recording, that will be linked in the transcript. The urge to identify patients with aggressive disease, which is the first step in any effort to provide personalized medical care, is intuitive to physicians today. Multiple myeloma patients have experienced heterogeneous outcomes since we first started characterizing the disease. Some patients live for decades after treatment. Some, irrespective of treatment administered, exhibit rapidly relapsing disease. We term this ‘high-risk myeloma’. The Durie-Salmon Risk Stratification System, introduced in 1975, was the first formal effort to identify those patients with aggressive, high-risk myeloma. However, the introduction of novel approaches in therapeutic agents—autologous stem cell transplantation with melphalan conditioning, proteasome inhibitors like bortezomib, or immunomodulatory drugs like lenalidomide—rendered the Durie-Salmon system a less precise predictor of outcomes. The International Staging System in 2005, predicated upon the burden of disease as measured by beta-2 microglobulin and serum albumin, was the second attempt at identifying high-risk myeloma. It was eventually supplanted by the Revised International Staging System (RISS) in 2015, which incorporated novel clinical and cytogenetic markers and remains the primary way physicians think about the risk of progression or relapse in multiple myeloma. Much attention has been focused on the canonically high-risk cytogenetic abnormalities in myeloma, typically identified by fluorescence in situ hybridization: translocation t(4;14), translocation t(14;16), translocation t(14;20), and deletion of 17p. Much attention also has been focused on the fact that intermediate-risk disease, as defined by the RISS, has been shown to be a heterogeneous subgroup in terms of survival outcomes. The RISS underwent revision in 2022 to account for such heterogeneity and has become the R2-ISS, published here in the Journal of Clinical Oncology first in 2022. Translocations t(14;16) and t(14;20) were removed, and gain or amplification of 1q was added. Such revisions to core parts of a modern risk-stratification system reflect the fact that myeloma right now is in flux, both in treatment paradigms and risk-stratification systems. The field in recent years has undergone numerous remarkable changes, from the advent of anti-CD38 agents to the introduction of cellular and bispecific therapies, to the very technology we use to investigate genetic lesions. The major issue is that we're seeing numerous trials using different criteria for the definition of high-risk multiple myeloma. This is a burgeoning problem and speaks very much now to a critical need for an effort to consolidate all these criteria on at least cytogenetic lesions as we move into an era of response-adapted treatment strategies. The excellent article by Kaiser and colleagues, published in the February 2024 edition of the JCO, does just that in a far-ranging meta-analysis of data from 24 prospective therapeutic trials. All 24 trials were phase II or III randomized controlled trials for newly diagnosed and relapsed/refractory multiple myeloma. The paper takes a federated analysis approach: participants provided summaries and performed prespecified uniform analyses. The high-risk cytogenetic abnormalities examined were translocation t(4;14), gain or amplification of 1q, deletion of 17p, and translocation t(14;16), if included in the original trials. All of these were collected into zero, single, or double-hit categories, not unlike the system currently present in diffuse large B-cell lymphomas. The outcomes studied were progression-free survival and overall survival, with these analyses adhering to modified ITT principles. The authors also performed prespecified subgroup analyses in the following: transplant-eligible newly diagnosed myeloma, transplant non-ineligible newly diagnosed myeloma, and relapsed/refractory myeloma. They, in addition, described heterogeneity by the I2 statistic, which, if above 50%, denotes substantial heterogeneity by the Cochrane Review Handbook, and otherwise performed sensitivity analyses and assessed bias to confirm the robustness of their results. In terms of those results, looking at the data collected, there was an appropriate spread of anti-CD38-containing and non-containing trials. 7,724 patients were evaluable of a total 13,926 enrolled in those 24 trials: 4,106 from nine trials in transplant-eligible myeloma, 1,816 from seven trials in transplant non-ineligible myeloma, and 1,802 from eight trials in relapsed/refractory disease. ISS stage for all patients was relatively evenly spread: stage I, 34.5%; stage II, 37%; stage III, 24%. In terms of high-risk cytogenetic lesions, double-hit disease was present in 13.8% of patients, and single-hit disease was present in 37.4%. In terms of outcomes, Kaiser and colleagues found a consistent separation in survival outcomes when the cohort was stratified by the number of high-risk cytogenetic lesions present. For PFS, the hazard ratio was for double-hit 2.28, for single-hit 1.51, without significant heterogeneity. For overall survival, the hazard ratio was for double-hit disease 2.94, single-hit disease 1.69, without significant heterogeneity except in patients with double-hit disease at 56.5%. By clinical subgroups, hazard ratios remained pretty consistent with the overall cohort analysis. In transplant-eligible newly diagnosed myeloma, the hazard ratio for progression is 2.53, overall survival 4.17. For transplant non-ineligible, 1.97 progression, 2.31 mortality. Relapsed/refractory disease progression 2.05, overall mortality 2.21, without significant heterogeneity. Of trials which started recruitment since 2015, that is to say, since daratumumab was FDA approved and thus since an anti-CD38 agent was incorporated into these regimens, analysis revealed the same results, with double-hit myeloma still experiencing worse survival by far of the three categories analyzed. Risk of bias overall was low by advanced statistical analysis. In terms of subgroup analysis, double-hit results for transplant-eligible newly diagnosed myeloma may have been skewed by smaller study effects, where the upper bound of the estimated hazard ratio for mortality reached into the 15 to 20 range. In conclusion, from a massive amount of data comes a very elegant way to think about the role certain cytogenetic abnormalities play in multiple myeloma. A simple number of lesions - zero, one, or at least two - can risk-stratify. This is a powerful new prognostic biomarker candidate and, somewhat soberingly, also may confirm, or at least suggests, that anti-CD38 agents are unable to overcome the deleterious impact of certain biologic characteristics of myeloma. Where do we go from here? This certainly needs further a priori prospective validation. This did not include cellular therapies. The very scale at which this risk-stratification system operates, agnostic to specific genetic lesion, let alone point mutations, lends itself also to further exploration. And to discuss this piece further, we welcome the one and only to the episode. Dr. Lentzsch serves as an associate editor for JCO and is a world-renowned leader at the bleeding edge of plasma cell dyscrasia research. Dr. Lentzsch, there are several new investigations which suggest that translocation t(4;14), for example, is itself a heterogeneous collection of patients. There are other studies which suggest that point mutations in oncogenes like TP53, which were not assessed in Kaiser et al., carry substantial detrimental impact. Is this classification system - no-hit, single-hit, double-hit - too broad a look at tumor genetics? And how do you think we will end up incorporating ever more detailed investigations into the genetics of multiple myeloma moving forward? Dr. Suzanne Lentzsch: Michael, first of all, excellent presentation of that very important trial. Great summary. And of course, it's a pleasure to be here with JCO and with you to discuss that manuscript. Let me go back a little bit to high-risk multiple myeloma. I think over the last years, we had a lot of information on what is high-risk multiple myeloma, and I just want to mention a couple of things, that we separate not only cytogenetically high-risk multiple myeloma, we also have functional high-risk multiple myeloma, with an early relapse after transplant, within 12 months, or two years after start of treatment for the non transplant patients, which is difficult to assess because you cannot decide whether this is a high-risk patient before you start treatment. You only know that in retrospective. Other forms of high-risk: extramedullary disease, circulating tumor cells/plasma cell dyscrasia, patients who never achieve MRD positivity, extramedullary multiple myeloma, or even age and frailty is a high risk for our patients. Then we have gene expression and gene sequencing. So there is so much information currently to really assess what is high-risk multiple myeloma, that is very difficult to find common ground and establish something for future clinical trials. So what Dr. Kaiser did was really to develop a very elegant system with information we should all have. He used four factors: translocation t(14;16), t(4;14), gain or amplification of 1q, and deletion of 17p. Of course, this is not the entire, I would say, information we have on high risk, but I think it's a good standard. It's a very elegant system to really classify a standard single-hit, double-hit, high-risk multiple myeloma, which can be used for all physicians who treat multiple myeloma, and especially, it might also work in resource-scarce settings. So, ultimately, I think that system is an easy-to-use baseline for our patients and provides the best information we can get, especially with a baseline, in order to compare clinical trials or to compare any data in the future. Michael Hughes: Thank you, Dr. Lentzsch. To the point that you made about this isn't the full story. There does, as you said, exist this persistent group of functional high-risk multiple myeloma where we see standard-risk cytogenetics, but these patients ultimately either exhibit primary refractory disease or very early relapse despite aggressive, standard aggressive treatment. How do you see risk-stratification systems incorporating other novel biomarkers for such patients? Is it truly all genetic? Or is next-generation sequencing, gene expression profiling, is that the answer? Or is there still a role for characterizing tumor burden? Dr. Suzanne Lentzsch: Excellent question, Michael, and I wish I would have the glass ball to answer that question. I see some problems with the current approach we have. First of all, to do the cytogenetics, you need good material. You only detect and identify what you have. If the bone marrow is of low quality, you have mainly peripheral blood in your bone marrow biopsy, you might not really fully have a representation of all cytogenetic changes in your bone marrow. So I think with a low-quality sample, that you might miss one or the other really cytogenetic high risk. So, having said this, I think circulating tumor cells, that might be something we will look into in the future, because circulating tumor cells are readily available, can be assessed without doing a bone marrow biopsy. And what is even more exciting, in addition to the circulating tumor cells or plasma cells, using them is next-generation sequencing. I think at the moment, we are more in a collection phase where we really try to correlate sequencing with our cytogenetics and especially to establish next-generation sequencing in all of our patients. But I think after that collection phase, maybe in the future, collecting peripheral blood and doing sequencing on peripheral blood samples might be the way to go. In addition, I don't want to forget the imaging. We started with a skeletal survey, and we know that you probably need to lose 30% of the bone before you see a lesion at all. So having imaging, such as diffusion-weighted imaging, whole-body MRI, is also, together with sequencing of the tumor cells, a step into the right direction. Michael Hughes: Thank you, Dr. Lentzsch. Bringing this back to the article at hand, how has Kaiser et al. changed the way we discuss myeloma with patients in the exam room? Dr. Suzanne Lentzsch: I think we have more data on hand. So far, we talked about standard risk and high risk, but I think right now, with a very simple system, we can go into the room and we can tell the patient, "Listen, you don't have any of those cytogenetic abnormalities. I think you have a standard risk. We might give you a simple maintenance treatment with Revlimid." But we might also go into the room and say, "I'm really concerned. You have so-called double-hit multiple myeloma. You have high-risk and at least two of those abnormal cytogenetics which we discussed, and I think you need a more intense maintenance treatment, for instance, double maintenance." I think we know that a high-risk multiple myeloma can be brought into a remission, but the problem that we have is to keep those patients into a remission. So, I think a more intense treatment, for instance, with a double maintenance, or with consolidation after transplant, and a longer and more intense treatment is justified in patients who have that truly high-risk multiple myeloma described here. Michael Hughes: Dr. Lentzsch, thank you so much for your time and your wisdom. Dr. Suzanne Lentzsch: My pleasure. Thank you for having me. Michael Hughes: Listeners, thank you for listening to JCO Article Insights. Please come back for more interviews and article summaries, and be sure to leave us a rating and review so others can find our show. For more podcasts and episodes from ASCO, please visit . The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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Pembrolizumab and Bevacizumab for Melanoma Brain Metastases
05/08/2025
Pembrolizumab and Bevacizumab for Melanoma Brain Metastases
Host Dr. Davide Soldato and guest Dr. Harriet Kluger discuss the JCO article "Phase II Trial of Pembrolizumab in Combination With Bevacizumab for Untreated Melanoma Brain Metastases." Transcript The guest on this podcast episode has no disclosures to declare. Dr. Davide Soldato Hello and welcome to , the podcast where we sit down with authors from some of the latest articles published in the . I am your host, Dr. Davide Soldato, Medical Oncologist at Ospedale San Martino in Genoa, Italy. Today, we are joined by JCO author Dr. Harriet Kluger. Dr. Kluger is a professor of medicine at Yale School of Medicine, Director of the Yale SPORE in Skin Cancer, and an internationally recognized expert in immuno-oncology for melanoma and renal cell carcinoma. She leads early-phase and translational trials that pair novel immunotherapies with predictive biomarkers to personalized care. Today, Dr. Kluger and I will be discussing the article titled "." In this study, Dr. Kluger and colleagues evaluated four cycles of pembrolizumab plus the anti-VEGF antibody bevacizumab followed by pembrolizumab maintenance in patients with asymptomatic non-hemorrhagic melanoma brain metastases that had not previously received PD-1 therapy. Thank you for speaking with us, Dr. Kluger. Dr. Harriet Kluger Thank you for inviting me. The pleasure is really all mine. Dr. Davide Soldato So to kick off our podcast, I just wanted to ask if you could outline a little bit the biological and clinical rationale that led you to test this type of combination for patients with untreated brain metastases from metastatic melanoma. Dr. Harriet Kluger Back in approximately 2012, patients who had untreated brain metastases were excluded from all clinical trials. So by untreated, I mean brain metastases that had not received local therapy such as surgery or radiation. The reason for it was primarily because there was this fear that big molecules wouldn't penetrate brain lesions because they can't pass the blood-brain barrier. Turns out that the blood-brain barrier within a tumor is somewhat leaky and drugs sometimes can get in there. When PD-1 inhibitors were first identified as the next blockbuster class of drugs, we decided to conduct a phase 2 clinical trial of pembrolizumab monotherapy in patients with untreated brain metastases. We actually did it also in lung cancer, and we could talk about that later on. Responses were seen. The responses in the brain and the body were similar. They were concordant in melanoma patients. Now, at approximately that time, also another study was done by the Australian group by Dr. Georgina Long, where they did a randomized trial where patients who didn't require immediate steroid therapy received either nivolumab alone or nivolumab with ipilimumab, and the combination arm was substantially superior. Subsequently, also, Bristol Myers Squibb also conducted a large phase 2 multicenter trial of ipilimumab and nivolumab in patients with untreated brain metastases. And there, once again, they saw that the responses in the brain were similar to the responses in the body. Now, somewhere along the line there, we completed our anti-PD-1 monotherapy trial. And when we looked at our data, we still didn't have the data on ipilimumab and nivolumab. And our question was, “Well, how can we do better?” Just as we're always trying to do better. We saw two really big problems. One was that patients had a lot of perilesional edema. And the other one was that we were struggling with radiation necrosis in lesions that were previously Gamma Knifed. The instance of radiation necrosis was in excess of 30%. So the rationale behind this study was that if we added bevacizumab, maybe we could treat those patients who had some edema, not requiring steroids, but potentially get them on study, get that PD-1 inhibitor going, and also prevent subsequent radiation necrosis. And that was the main rationale behind the study. We had also done some preclinical work in mouse models of melanoma brain metastases and in an in vitro blood-brain barrier model where we showed that bevacizumab, or anti-VEGF, really tightens up those leaky basement membranes and therefore would be very likely to decrease the edema. Dr. Davide Soldato Thank you very much for putting in context the combination. So this was a phase 2 trial, and you included patients who had at least one lesion, and you wanted lesions that were behind 5 and 20 millimeters. Patients could be included also if the brain metastasis was higher in dimension than 20 millimeters, but it had to be treated, and it was then excluded from the evaluation of the primary objective of the trial. So regarding, a little bit, these characteristics, do you think that this is very similar to what we see in clinical practice? And what does this mean in terms of applicability of these results in clinical practice? Dr. Harriet Kluger So that's an excellent question. The brain metastasis clinical research field has somewhat been struggling with this issue of inclusion/exclusion criteria. When we started this, we showed pretty clearly that 5 to 10 millimeter lesions, which are below the RECIST criteria for inclusion, are measurable if you use MRIs with slices that are 1 to 2 millimeters. Most institutions in the United States do use these high-resolution MRIs. I don't know how applicable that is on a worldwide scale, but we certainly lowered the threshold for inclusion so that patients who have a smattering of small brain metastases would be eligible. Now, patients with single large brain metastases, the reason that we excluded those from the trial was because we were afraid that if a patient didn't respond to the systemic therapy that we were going to give them, they could really then develop severe neurological symptoms. So, for patient safety, we used 20 millimeters as the upper level for inclusion. Some of the other trials that I mentioned earlier also excluded patients with very large lesions. Now, in practice, one certainly can do Gamma Knife therapy to the large lesions and leave the smaller ones untreated. So I think it actually is very applicable to clinical practice. Dr. Davide Soldato Thank you very much for that insight, because I think that sometimes criteria for clinical trials, they have to be very restrictive. But then we know that in clinical practice, the applicability of these results is probably broader. So, going a little bit further in the results of the study, I just wanted a little bit of comment from you regarding what you saw in terms of intracranial response rate and duration of response among patients who obtained a response from the combination treatment. Dr. Harriet Kluger So we were actually surprised. When we first designed this study, as I said earlier, we weren't trying to beat out ipilimumab and nivolumab. We were really just trying to exclude those patients who wouldn't have otherwise been eligible for ipilimumab and nivolumab because of edema or possibly even previous radiation necrosis. So it was designed to differentiate between a response rate of 34%, and I believe the lower bound was somewhere in the 20s, because that's what we'd seen in the previous pembrolizumab study. What we saw in the first 20 patients that we enrolled was actually a response rate that far exceeded that. And so we enrolled another cohort to verify that result because we were concerned about premature publishing of a result that we might have achieved just by chance. The two cohorts were very similar in terms of the response rates. And certainly this still needs to be verified in a second study with additional institutions. We did include the Moffitt Cancer Center, and the response rate with Moffitt Cancer Center was very similar to the Yale Cancer Center response rate. Now, your other question was about duration of response. So the other thing that we started asking ourselves was whether this high response rate was really because the administration of the anti-VEGF will decrease the gadolinium enhancement and therefore we might actually just be seeing prettier scans but not tumor shrinkage. And the way to differentiate those two is by looking at the duration of the response. Median progression-free survival was 2.2 years. That's pretty long. The upper bound on the 95% confidence interval was not reached. I can't tell you that the duration is as good as the duration would be when you give ipilimumab. Perhaps it is less good. This was a fairly sick population of patients, and it included some who might not have been able to receive ipilimumab and nivolumab. So it provides an alternative. I do believe that we need to do a randomized trial where we compare it to ipilimumab and nivolumab, which is the current standard of care in this patient population. We do need to interpret these results with caution. I also want to point out regarding the progression-free survival that we only gave four doses of anti-VEGF. So one would think that even though anti-VEGF has a long half-life of three or four weeks, two years later, you no longer have anti-VEGF effect, presumably. So it does something when it's administered fairly early on in the course of the treatment. Dr. Davide Soldato So, in terms of clinical applicability, do you see this combination of pembrolizumab and bevacizumab - and of course, as we mentioned, this was a phase 2 trial. The number of patients included was not very high, but still you saw some very promising results when compared with the combination of ipilimumab and nivolumab. So do you see this combination as something that should be given particularly to those patients who might not be able to receive ipilimumab and nivolumab? So, for example, patients who are very symptomatic from the start or require a high dose of steroids, or also to provide a quicker response in terms of patients who have neurological symptoms, or do you think that someday it could be potentially used for all patients? Dr. Harriet Kluger The third part of your question, whether it can be used someday for all patients: I think we need to be very careful when we interpret these results. The study was substantially smaller than the ipilimumab/nivolumab trial that was conducted by Bristol Myers Squibb. Also going to point out that was a different population of patients. Those were all frontline patients. Here we had a mix of patients who'd had previous anti-CTLA-4 and frontline patients. So I don't think that we can replace ipilimumab and nivolumab with these results. But certainly the steroid-sparing aspect of it is something that we really need to take into consideration. A lot of patients have lesions in locations where edema can be dangerous, and some of them have a hard time coming off the steroids. So this is certainly a good approach for those folks. Dr. Davide Soldato And coming back to something that you mentioned in the very introduction, when you said that there were two main problems, which was one, the problem of the edema, and the second one, the problem of the radionecrosis. In your trial, there was a fair percentage of patients who received some type of local treatment before the systemic one. So the combination of pembrolizumab and bevacizumab. And most of the patients received radiosurgery. So I just wanted a brief comment regarding the incidence of radionecrosis in the trial and whether that specific component of the combination with bevacizumab was reduced. And how do you think that this fares in terms of what we see in clinical practice in terms of radionecrosis? Dr. Harriet Kluger I'm not sure that we really reduced the incidence of radiation necrosis. We saw radiation necrosis here. We saw less of it than in the trial of pembrolizumab monotherapy, but these were also different patients, different time. We saw more than we thought that we were going to see. It was 27%, I believe, which is fairly high still. We only gave the four doses of bevacizumab. Maybe to really prevent radiation necrosis, you have to continue to give the bevacizumab. That, too, needs to be tested. The reason that we gave the four doses of bevacizumab was simply because of the cost of the bevacizumab at the time. Dr. Davide Soldato Thank you very much for that comment on radionecrosis. And I really think that potentially this is a strategy, so continuing the bevacizumab, that really makes a lot of sense, especially considering that the tolerability of the regimen was really very, very good, and you didn't see any significant or serious adverse events related to bevacizumab. So just wondering if you could comment a little bit on the toxicities, whether you had anything unexpected. Dr. Harriet Kluger There was one patient who had a microperforation of a diverticulum, which was probably related to the bevacizumab. It was conservatively managed, and the patient did fine and actually remains alive now, many years later. We had one patient who had dehiscence of a previous wound. So there is some. We did not see any substantial hypertension, proteinuria, but we only gave the four doses. So it is possible that if you give it for longer, we would see some side effects. But still, relative to ipilimumab, it's very, very well tolerated. Dr. Davide Soldato Yeah, exactly. I think that the safety profile is really different when we compare the combination of ipilimumab/nivolumab with the pembrolizumab/bevacizumab. And as you said, this was a very small trial and probably we need additional results. But still, these results, in terms of tolerability and safety, I think they are very interesting. So one additional question that I think warrants a little bit of comment on your part is actually related to the presence of patients with BRAF mutation and, in general, to what you think would be the best course of treatment for these patients who present with the upfront brain metastases. So this, it's actually not completely related to the study, but I think that since patients with BRAF mutation were included, I think that this warrants a little bit of discussion on your part. Dr. Harriet Kluger So we really believe that long-term disease control, particularly in brain metastases, doesn't happen when you give BRAF/MEK inhibitors. You sometimes get long-term control if you've got oligometastatic disease in extracranial sites and if they've previously been treated with a lot of immune checkpoint inhibitors, which wasn't the case over here. So a patient who presents early in the course of the disease, regardless of their BRAF status, I do believe that between our studies and all the studies that have been done on immunotherapy earlier in the course of disease, we should withhold BRAF/MEK inhibitors unless they have overwhelming disease and we need immediate disease control, and then we switch them very quickly to immunotherapy. Can I also say something about the toxicity question from the bevacizumab? I have one more comment to make. I think it's important. We were very careful not to include patients who had overt hemorrhage from brain metastases. So melanoma brain metastases relative to other tumor types tend to bleed, and that was an exclusion criteria. We didn't see any bleeding that was attributable to the bevacizumab, but we don't know for sure that, if this is widely used, that that might not be a problem that's observed. So I would advise folks to use extreme caution and perhaps not use it outside of the setting of a clinical trial in patients with overt hemorrhage in the melanoma brain metastases. Dr. Davide Soldato Thank you very much. I think that one aspect that is really interesting in the trial is actually related to the fact that you collected a series of biomarkers, both circulating ones, but also some that were collected actually from the tissue. So just wondering if you could explain a little bit which type of biomarkers you evaluated and whether you saw any significant results that could suggest higher or lower efficacy of the combination. Dr. Harriet Kluger Thank you for that. So yes, the biomarker studies are fairly exploratory, and I want to emphasize that we don't have anything that's remotely useful in clinical practice at this juncture. But we did see an association between vessel density in the tumors and improved response to this regimen. So possibly those lesions that are more vascular are more fed by or driven by VEGF, and that could be the reason that there was improved response. We also saw that when there was less of an increase in circulating angiopoietin-2 levels, patients were more likely to respond. Whether or not that pans out in larger cohorts of patients remains to be determined. Dr. Davide Soldato Still, do you envision validation of these biomarkers in a potentially additional trial that will evaluate, again, the combination? Because I think that the signals were quite interesting, and they really make sense from a biological point of view, considering the mechanism of action of bevacizumab. So I think that, yeah, you're right, they are exploratory. But still, I think that there is very strong biological rationale. So really I wanted to congratulate you on including that specific part and on reporting it. And so the question is, really, do you envision validation of these biomarkers in larger cohorts? Dr. Harriet Kluger I would hope to see that, just as I'd like to see validation of the clinical results as well. The circulating biomarkers are very easy to do. It's a simple ELISA test. And the vessel density on the tumor is essentially CD34 staining and units per area of tumor. Also very simple to do. So I'd love to see that happen. Dr. Davide Soldato Do you think that considering the quality of the MRI that we are using right now, it would be possible to completely bypass even the evaluation on the tissue? Like, are we going in a direction where we can, at a certain point, say the amount of vessels that we see in these metastases is higher versus lower just based on MRI results? Dr. Harriet Kluger You gave me an outstanding idea for a follow-up study. I don't know whether you can measure the intensity of gadolinium as a surrogate, but certainly something worth asking our neuroradiology colleagues. Excellent idea. Thank you. Dr. Davide Soldato You're welcome. So just moving a step further, we spoke a lot about the validation of these results and the combination. And just wanted your idea on what do you think it would be more interesting to do: if designing a clinical trial that really compares pembrolizumab/bevacizumab with ipilimumab and nivolumab or going directly for the triplet. So we know that there has been some type of exploration of triplet combination in metastatic melanoma. So just your clinical impression: What would you do as an investigator? Dr. Harriet Kluger So it's under some discussion, actually. It's very difficult to compare drugs from different companies in an investigator-initiated trial. Perhaps our European colleagues can do that trial for us. In the United States, it's much harder, but it can be done through the cooperative groups, and we are actually having some discussions about that. I don't have the answer for you. It would be lovely to have a trial that compared the three drugs to ipi/nivo and to pembrolizumab/bevacizumab. So a three-arm trial. But remember, these are frontline melanoma patients. There aren't that many of them anymore like there used to be. So accrual will be hard, and we have to be practical. Dr. Davide Soldato Yeah, you're right. And in the discussion of the manuscript, you actually mentioned some other trials that are ongoing, especially one that is investigating the combination of pembro and lenvatinib, another one that is investigating the combination of nivolumab and relatlimab. So just wondering, do you think that the molecule in terms of VEGF inhibition, so bevacizumab versus lenvatinib, can really make a difference or is...
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JCO Article Insights: ESPAC4 Long-Term Follow-Up in Pancreatic Cancer
04/28/2025
JCO Article Insights: ESPAC4 Long-Term Follow-Up in Pancreatic Cancer
In this JCO Article Insights episode, host Joseph Mathew summaries Pancreatic Adenocarcinoma: Long-Term Outcomes of Adjuvant Therapy in the ESPAC4 Phase III Trial, by Palmer, et al published December 5, 2024. Transcript Joseph Mathew: Hello and welcome to the . I'm your host, Joseph Mathew, and today we will be discussing the article "" by Dr. Palmer et al. To summarize the relevant evidence, the ESPAC-4 was a European phase 3 multicenter randomized clinical trial published in 2017 comparing adjuvant gemcitabine and capecitabine (GemCap) with gemcitabine monotherapy following macroscopic margin-negative resections for operable pancreatic ductal adenocarcinoma (PDAC). The trial had included non-metastatic patients aged 18 years or older, World Health Organization (WHO) performance scores of 2 or less, creatinine clearance of at least 50 mL/min, and a life expectancy of over three months who had not received any prior anticancer treatment. Patients who had undergone R2 resections were selectively excluded. Eligible participants were randomized 1:1 within 12 weeks of pancreatectomy to one of the two treatment arms, with chemotherapy initiated within two weeks from the date of randomization. The regimens involved six cycles, each lasting four weeks, for an overall duration of 24 weeks. In the monotherapy arm, gemcitabine dosed at 1 g/m² was given as an intravenous infusion once a week for three weeks, followed by one week off. In the GemCap arm, capecitabine dosed at 1660 mg/m² was added to gemcitabine, given daily for three weeks, followed by one week off. Patients were followed up every three months, with the primary endpoint being overall survival (OS). The study showed that at a median follow-up of 43.2 months, GemCap was associated with a significantly longer OS than gemcitabine alone. Subsequently, in 2018, the Phase 3 randomized PRODIGE 24 trial was conducted in centers across France and Canada, comparing adjuvant modified FOLFIRINOX (mFOLFIRINOX) with gemcitabine in a similar subset of patients with resected PDAC and reported longer OS with the mFOLFIRINOX regimen. This study, however, had more restrictive eligibility criteria when compared to ESPAC-4, including patients aged under 80 years, WHO performance status of 0 or 1, with no significant cardiovascular disease, and a postoperative serum CA 19-9 of less than 180 U/mL. There was hence a subset of ESPAC-4 patients who did not meet the eligibility criteria for mFOLFIRINOX as set by the PRODIGE 24. The present study was conducted to estimate the overall 5-year survival rates for patients of ESPAC-4 receiving GemCap and gemcitabine, further stratifying survival in either arm according to the status of the surgical margins (R status) and the resected nodes (N status), and also to investigate whether GemCap retained a survival benefit over gemcitabine in PRODIGE 24-ineligible patients. A total of 732 patients, evenly distributed between both arms, were followed up for a median period of 104 months. Adjuvant GemCap was found to retain its survival advantage over gemcitabine, with a significantly longer median OS of 31.6 months when compared to 28.4 months with gemcitabine alone. Further subgroup analysis was performed with reference to the resection margins and the nodal status. As a reminder, in the ESPAC-4 trial, 60% of patients were found to have microscopically positive margins (an R1 resection), and 80% were node-positive. The difference in survival was greater in patients undergoing microscopic margin-negative resections (R0) who experienced a median OS of 49.9 months with GemCap when compared to 32.2 months with gemcitabine. Node-negative patients also had a significantly greater 5-year OS rate with GemCap of 59% versus 53% with gemcitabine monotherapy. However, it is important to note that no significant difference in survival outcomes was observed in margin-positive (R1) or node-positive patients in the two arms. The investigators also evaluated GemCap in the subgroup of 193 patients (comprising 26.4% of the ESPAC-4 cohort) who were not considered to have met the eligibility criteria for PRODIGE 24. The survival benefit of combination therapy was retained in this group, with patients receiving GemCap experiencing a median survival of 25.9 months compared to 20.7 months with adjuvant gemcitabine. Although cross-trial comparisons have limited validity, good agreement was noted in adverse grade 3 or greater toxicity associated with the control gemcitabine arms of ESPAC-4 and PRODIGE 24, serving as the basis for a qualitative comparison of toxicities between mFOLFIRINOX and GemCap. Neutropenia was more prevalent in the GemCap arm, affecting 40.8% of patients compared to 28.4% with mFOLFIRINOX. However, granulocyte colony-stimulating factor (G-CSF) was administered to 62.2% of patients in PRODIGE 24. Palmar-plantar erythrodysesthesia (PPE) was also more prevalent with GemCap. Patients on mFOLFIRINOX were more likely to observe grade 3 or greater fatigue, diarrhea, nausea and vomiting, sensory peripheral neuropathy, and paresthesias. The investigators concluded that GemCap was the standard adjuvant treatment for patients with PDAC undergoing an upfront resection who were not feasible for mFOLFIRINOX. Further exploratory analysis revealed that patients under the age of 70 who had undergone a microscopic margin-negative (R0) resection for node-negative PDAC were likely to derive an OS benefit from the addition of capecitabine to gemcitabine in the adjuvant setting. In contrast, mFOLFIRINOX would be more effective than gemcitabine in patients with positive margins (R1) or involved nodes, as per the PRODIGE 24 trial. Thank you for listening to JCO Article Insights. Please come back for more interviews and article summaries, and be sure to leave us a rating and review so others can find our show. For more podcasts and episodes from ASCO, please visit . The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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Longitudinal Results from the Nationwide Just ASK Initiative to Promote Routine Smoking Assessment
04/10/2025
Longitudinal Results from the Nationwide Just ASK Initiative to Promote Routine Smoking Assessment
Host Dr. Davide Soldato and guests Dr. Jessica Burris discuss the article "" and how persistent smoking following cancer diagnosis causes adverse outcomes while smoking cessation can improve survival. TRANSCRIPT The guest on this podcast episode has no disclosures to declare. Dr. Davide SoldatoHello and welcome to , the podcast where we sit down with authors from some of the latest articles published in the . I am your host, Dr. Davide Soldato, medical oncologist at Ospedale San Martino in Genoa, Italy. Today we are joined by JCO author Dr. Jessica Burris. Dr. Burris is an Associate professor of Psychology at the University of Kentucky and co leader of the Cancer Prevention and Control Research Program at the Markey Cancer Center. Her research focuses on smoking cessation among cancer survivors, health disparities, and behavioral interventions to promote health equity. She also leads the BIRDS Lab, which explores the intersection of smoking, social determinants of health, and cancer survivorship. Today I will be discussing with Dr. Burris on the article titled . So, thank you for Speaking with us, Dr. Burris. Dr. Jessica BurrisThank you for inviting me. Dr. Davide SoldatoSo today we'll be discussing an important study on the implementation of smoking assessment in cancer care and specifically through the Just Ask Initiative. So, we know that tobacco use is a critical factor in cancer treatment outcomes in general, and yet integrating systematic smoking assessment into oncology care has faced various challenges. So, Dr. Burris, to start off our interview, I would like to ask you to briefly introduce the Just Ask Initiative for those of our readers and listeners who may not be familiar with it. So, a little bit about the primary goals and why do you think that routine smoking assessment is such an important aspect of cancer care and why the Just Ask Initiative focuses on this specific issue? Dr. Jessica BurrisSure. So, as you mentioned before, smoking is a really critical factor in terms of cancer care and cancer outcomes. It impacts a lot of things, from complications after surgery up into cancer mortality, but it also impacts patient's quality of life. Their pain may be more severe, they're more tired, their distress levels are higher. So, there's just a lot of different reasons why we need to understand and address smoking in the context of cancer care. But like you said too, there's a lot of barriers as well. But in order to effectively treat nicotine dependence and tobacco use, we really need to know who is currently smoking. And so that was really the driver for Just Ask, wanting to make sure that we are asking every person with cancer at their diagnosis and as they go through treatment, what their smoking history is, if they are currently smoking, which we usually consider to be any smoking or other tobacco use in the past 30 days, so that once we can identify that person, then we know who we need to help. Dr. Davide SoldatoThank you very much. That was very clear. And in terms of methodology, Just Ask was really a quality improvement type of initiative that involved the programs that were contacted and approached to participate in this type of initiative. And the methodology is pretty standard for this type of implementation science, which is the Plan Do Study Act methodology. So just a little bit of background on this type of methodology and why do you think it might be so successful when implementing these types of changes at the structural level and when we are implementing these types of programs. Dr. Jessica BurrisRight. So, the American College of Surgeons requires all the accredited cancer programs, both Commission on Cancer and the NAPBC or the ones that focus on breast cancer, to do at least one quality improvement project annually. And most of the programs do use the evidence-based Plan Do Study Act approach. I think it's a great one. It has a lot of evidence behind it, but it also is very practical or pragmatic. So, you're using data from your local healthcare system or clinic or program to inform what it is that you do. And then you're constantly pulling data out to see how well you're addressing the clinical practice change that you're hoping to achieve. And so, data is going in and coming out and you're using that to inform exactly what it is that you're doing over time. So, it's an iterative approach to practice change and again, one that has proven successful time and time again. And so that's the program that these programs and Just Ask used in order to increase the frequency by which they ask patients about smoking. Dr. Davide SoldatoSo as you were saying, the main objective of the initiative was really to understand if we are asking patients diagnosed with cancer and survivors if they are smoking. And how can we better report this information inside of the medical chart of the patient. So, what was the primary endpoint or the objective that you had for this type of intervention? And can you give us a little bit of results? So, what did you find the implementation of this quality improvement? How did it change the percentages of patients that were asked about smoking habits? And a little bit, what is your opinion on the results that you obtain in the study? Dr. Jessica BurrisSure. So, the goal was simple and that was to have an ask rate that was at least 90%. The way that we defined an ask rate is among all newly diagnosed cancer patients, how many were asked about their smoking history and their current status at that initial visit? And so, we wanted all of the participating programs who opted in to Just Ask in 2022 to achieve that 90% ask rate by the end of this one-year quality improvement project. And again, using the Plan Do Study Act approach, it was a very pragmatic study in some ways. So, what we did was we provided an intervention change package that we made available online. And programs could access that whenever they needed to and pull-down educational resources, patient facing materials, practical tools for changing the EHR or pulling data out of the EHR, any of those number of things. And then we also hosted webinars over the course of the year. And those webinars were great because half the time they were in response to questions that programs were asking as they went through the Just Ask QI project. And the other half of time we were really just reminding programs of the rationale and the reason for making sure that they're asking. And then of course, letting them know that they don't have to stop there, they should be advising patients to quit and assisting them with cessation. Even though that wasn't the goal of Just Ask, the goal again of Just Ask was getting that 90% rate. And so, we had over 750 programs who opted in to Just Ask and did this QI study with us, and it was successful. So, we met the goal, or rather the programs met the goal of that 90% ask rate. And that was maintained over time. And that was just fantastic. So again, we know that the end goal is really to assist patients with quitting, but we can't do that unless we know who to help. And so, you have to ask first. And again, they were able to do that. Dr. Davide SoldatoSo thank you very much. The quality improvement program was absolutely successful. And to go a little bit in the numbers, by the end of the one-year implementation of the program, you report a 98% rate of asking patients who first approached the centers or over time if they were or not smokers. So, you said before that you targeted a 90% ask rate in terms of smoking habits. But when looking at the data, I noticed that you already had in the baseline survey where you asked the programs about what were the practice before the implementation of the Just Ask initiative, already something that was quite close to the 90%. And yet, despite starting from such a good point, which was basically your endpoint, you still observed a major change over the years of the implementation. So, I wanted to just underline a little bit what is the value of this type of programs. And still starting from such a very high standard still, we managed to further improve. And as you were saying, this is pivotal and I think it's fundamental to really understand and see who are the patients that we need to refer and then to help in the smoking cessation. So, I just wanted a little bit of a comment on these very important results, despite already starting from a very good background from the centers. Dr. Jessica BurrisYeah, I'm glad that you brought up the baseline. So, I think one thing that's important about this study is that we looked at our ask rate or the asking as a clinical practice in two different ways. So, the 98% that you referred to that we found at the final survey is based on a response to a question on the frequency of asking. So, it's a Likert type question. And essentially what we did was we combined programs that reported usually asking or almost always asking into one, and that's where we arrived at the 98%. And at baseline it was 92%. What's interesting though is that we also asked them to report the specific number of patients who were seen in their cancer program during the prior six months and the number of patients who were asked about smoking in the prior six months. And with that we could get a proportion. And in every case, the self-report Likert question had a higher outcome than the raw data based on the data that was pulled from the EHR. And so, we saw this increase significantly over time, both in the self-report Likert question, but also in the EHR based data. And so, it was a win in two ways. What I think is really interesting though is that at baseline, even though 92% of programs said that they regularly ask about their patient smoking status, 16% of programs could not provide data that would allow calculation of an ask rate. So, they were reporting that they were able to do so but then could not actually do so. So, I think what that means essentially is that there's a disconnect between what programs are doing regularly or they believe that they're doing regularly and what their data actually shows. And it could be an issue with the quality of the data that's going into the EHR, or it could be an issue with pulling the data out of the EHR. And so one of the things that we saw that I think is a second indicator of success of Just Ask is that the quality of the data that programs were inputting into the EHR related to their patients smoking history and smoking status did improve over time, which meant that by the end it really was the case that the vast majority of programs were asking. And not only that, but they were also documenting it in a way to where it could inform patient care. Does that make sense? Dr. Davide SoldatoAbsolutely. And I think that that explanation really is truly important because I think that it also connects a little bit to how the initiative was able also to change things at the structural level, to be sure that there was the best possible way of asking, but also of having that information readily available inside of the EHR. This also connects a little bit to my next question, which was a little bit about organizational structure and also implementation barriers, which you report also as a self-reported information by the specific programs. So, there was a little bit of implementation barriers that was reported by the programs and this was not a specific endpoint of the Just Ask initiative, but you kind of mentioned it a little bit. The difficulties in pulling data from the EHR in understanding whether the information was collected and how it was collected. This might be one of the implementation barrier when we are looking at initiatives like Just Ask. So, I just wanted a little bit of your opinion if you think that these implementational barriers are more on the organizational side or on the provider side. And how can we use these quality improvement programs to really tackle this type of barriers to improve overall the reach and the importance of our action regarding smoking cessation. Dr. Jessica BurrisThe devils in the details, right? So I think it's a “both and” situation and not either or I think for providers, for individual providers, oncologists, nurses, supportive care providers, the issue of feeling like they're not fully trained in tobacco use assessment and treatment, and also feeling because of a lack of training that they don't feel confident or competent or even comfortable having conversations with their patients about their smoking history or being in the position to where they can really help someone who wants to quit in choosing the best path and way forward to do that that really matters. And so organizational readiness, these programs that participated were pretty high even at baseline in terms of the organizational readiness. They understood that it's a problem and they wanted to do something about it. And they were really eager and chomping at the bit to do so. But that has to trickle down to individual providers. And so, I think one of the implementation strategies that was used was staff training and provider education. And a lot of the participating programs chose that strategy. And I think as staff and providers are trained in how to ask and how to do so in a way that is nonjudgmental and that doesn't lean into things like stigma or blame or making patients feel guilty that perhaps their behavior led to their cancer, but really just understanding tobacco history and understanding nicotine dependence and the best strategies that we have to address those things that helped and that made a difference but it also is things at the system level, like having good EHR data, being able to pull those data out at a regular interval every three months or every four months, or even every six months to make sure that you're tracking smoking and also quitting over time. Both of those things need to happen. And I think those were things that we saw change as a result of Just Ask participation. Dr. Davide SoldatoRelating to this, provider readiness also to counsel patients on how to stop smoking or what is the best strategy. Despite, as you said in the very beginning, this was not the objective of Just Ask because you just wanted to improve the rate of smoking assessment and the quality of reporting of smoking assessment. You still observed higher rates of patients and survivors that were actually referred to some kind of intervention for smoking cessation. So, I was just wondering, why do you think that even though that was not required, you still observe this type of improvement? Like, is it just inherent to the fact that we are improving and we are placing more interest and more attention on the fact that patients should quit smoking, or do you think that it relates to something else completely? Dr. Jessica BurrisI think there's probably multiple things going on. One is once you're fully aware of the fact of the impact of smoking after a cancer diagnosis, you're going to be compelled to do something, I think. And so just the simple fact of knowing now that the patient sitting in front of you has smoked in the past week or two, they may be under a lot of stress because they're coping with cancer and they're coping with the side effects of their treatment. They may even have increased their smoking since their cancer diagnosis. And now you have this information. I think people who are providing cancer care, they want to improve the health and the life of the person sitting in front of them. And if they understand that smoking is a detriment or a hurdle to their doing so, then they're also more inclined to try and help that person quit smoking. And so, I think the asking and the documenting likely led to an increase in assistance and referrals to tobacco treatment specialists or to a state quit line, which was also common, simply because that's part of providing quality care. I think also there's been a greater emphasis nationally, in part led by the National Cancer Institute and a cancer moonshot initiative that it led, they're really focused on getting more treatment to more patients with smoking and increasing the reach and the effectiveness of the treatments that we provide. And so, I think there has been a shift in oncology care broadly to put more attention on smoking and smoking cessation as part of standard cancer care. And so, I think this kind of shift in the field also informed things as well as, again, thinking about the patient and the individual who's in the room and wanting to do something about the problem that you've just identified. Dr. Davide SoldatoAnd one thing that I believe is truly exceptional about the Just Ask initiative is really also the diversity of the type of programs that you involved. Like, you went from community centers to more academic centers. And really, I did not have the impression reading the manuscript that there was any difference in the way this type of quality improvement initiative can really benefit all these programs and all these centers. So, I was just wanting to have your opinion or comment on how do you think this type of initiative could be transferable across the country and across different settings and different types of cancer care? Dr. Jessica BurrisYeah, I'm really glad that you brought that up, because I think most of the clinical trials that are done in this area are done at academic medical centers, which are admittedly kind of resource rich places to receive cancer care. And so, what works in academic medical center may not work in a small rural practice in the middle of Kansas, for example, or in Mississippi. And it may not work in other community-based practices, even if they're larger and set in an urban setting. And so, one of the things that frankly I loved about Just Ask is that it was very heterogeneous in terms of the sites and the participating groups. And so not only was it national and by far the largest initiative in this area, again with over 750 different programs, but the programs were diverse. So, we had large community-based programs, integrated networks, smaller community programs. And then the academic centers were actually the smallest. Only like 10 or 12 out of the 750 plus were academic. And so, it was very different than what is the norm in this research area and in this area generally in terms of clinical practice. And we were able to show that the type of program that participated had no bearing on their success. And so, when we think about initiatives that work and interventions that work, we also really have to think about what is scalable and what could be disseminated across different practices. And this is one of those things that can. It worked and it worked across different swaths of group, which was great. Dr. Davide SoldatoAbsolutely. And just one last comment about the intervention, and it's also a point that you raised in the manuscript. This initiative, like many others also at the national levels that have been reported previously, they rarely had really the participation or the perspective of the patients embodied inside of them. So, I was wondering, how do you see the field moving forward. Like you envision something that would implement sort of a co-creation with patients or cancer survivors in order to really create something that is more appealing and takes more into consideration what is the patient perspectives when we are approaching something like smoking cessation, which as you were mentioning before, it can have a lot of stigma or already some negative feelings by the patients and feelings of guilt regarding the fact that they smoked and that might have caused that cancer. So just a little bit of your opinion as to how you see the implementation science in smoking cessation moving forward while integrating also the patient perspectives. Dr. Jessica...
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JCO Article Insights: Smoking Assessment
03/31/2025
JCO Article Insights: Smoking Assessment
In this JCO Article Insights episode, Lauren Shih summaries "" by Jessica L. Burris, et al published November 19, 2024. Come back for the next episode where JCO After Hours host, Dr. Davide Soldato interviews the author of the JCO article discussed, Dr. Jessica Burris. TRANSCRIPT Lauren Shih: Hello and welcome to . I'm your host Lauren Shih, and today we will be discussing the article, “” by Dr. Jessica Burris and colleagues published in the March issue of JCO. This study reports the finding of the Just ASK Initiative, an effort aimed at improving universal smoking assessment in cancer programs nationwide. We know that smoking after a cancer diagnosis is associated with numerous negative outcomes including worse survival, increased treatment related complications, poorer quality of life and higher healthcare costs. Patients who smoke are also at increased risk for cancer recurrence and second primary malignancies. Despite these risks, data show that a significant number of patients with newly diagnosed cancer still smoke and around 15% of cancer survivors continue smoking. Recognizing this discrepancy, national oncology organizations strongly recommend routine smoking assessment and cessation support as part of standard cancer care. However, despite these guidelines, smoking assessment and cessation assistance remain inconsistent across oncology practices. Surveys show that most National Cancer Institute designated cancer centers have insufficient resources to effectively support smoking cessation efforts. To address this gap, several large scale initiatives have been launched, including efforts by the National Cancer Institute, the Canadian Partnership Against Cancer, and the American College of Surgeons. The largest of these initiatives, through the American College of Surgeons, is the subject of our report today. In 2022, the American College of Surgeons introduced the Just ASK Quality Improvement Program with the goal of increasing routine smoking assessment. As member institutions, accredited programs are required to complete at least one quality improvement program annually. And in 2022, 40% of programs chose to participate in Just ASK. The primary goal of this quality improvement program was to ask at least 90% of newly diagnosed cancer patients about their smoking status. Offering smoking cessation support was encouraged, but not a mandatory component or primary endpoint for the initiative. To implement Just ASK, participating programs used a well-established Plan-Do-Study-Act methodology which is a structured, iterative approach for improving healthcare processes. Programs used local quality improvement teams and resources for implementation and had access to online training, educational webinars, and technical resources to help integrate smoking assessment into routine care. Programs completed three surveys: a baseline survey reflecting smoking assessment practices in the year before Just ASK; a midpoint survey after six months of participation; and a final survey after one year in the program. The surveys assess program characteristics, barriers to smoking assessment, readiness to change, and the frequency of smoking related clinical practices such as asking about smoking, documenting smoking status, and advising smoking cessation. Programs reported on implementation strategies they adopted to improve smoking assessment. Finally, programs reported the number of newly diagnosed cancer patients they saw, how many were asked about their smoking status and how many were identified as current smokers during each reporting period. Results from 762 participating cancer center programs were analyzed. The programs represented a diverse mix of practice sites with over 50% identified as community based. Retention in the program was high, with nearly 90% of programs completing the final survey. Most programs reported moderate organizational readiness at baseline along with an average of 4.6 implementation barriers to conducting routine smoking assessment. Barriers included factors such as lack of time, competing clinical priorities, and lack of designated tobacco treatment specialists. At baseline, the ask rate was 87.8% and this increased to 91.9% at the final survey, meeting the previously identified goal for the initiative. Throughout the initiative, programs reported increases over time in assessing smoking status, in advising patients who smoked and quit, and in documenting these assessments and recommendations in the medical record. Importantly, the smoking rate among patients asked ranged from 18.5% to 19.8% across the three surveys, demonstrating a high rate of current smoking among newly diagnosed cancer patients. The most common implementation strategies adopted by programs to promote change included gaining leadership support, improving documentation on the electronic health record, and training staff and providers. There were no major differences in implementation strategies based on program type. Organizational readiness was positively associated with better smoking assessment practices, and implementation barriers had a negative impact, although not always statistically significant. The number of implementation strategies used by programs showed a positive, significant association with smoking assessment practices at the final survey. Exploratory analyses did not suggest that program type or patient volume had a consistent relationship with the outcomes. Although the primary goal of Just ASK was smoking assessment and not cessation assistance or intervention, programs did report on cessation related practices. For example, programs reported providing education or self-help materials increased from 26% to 48%, referrals to tobacco treatment specialists increased from 25% to 35%, and referrals to quit lines increased from 27% to 45%. Prescribing or recommending FDA approved cessation medications increased from 17% to 21%. In conclusion, Just ASK is the largest nationwide initiative to standardize and improve smoking assessment in cancer care. It successfully improves smoking assessment across a diverse range of cancer practices, ensuring that hundreds of thousands of newly diagnosed cancer patients were asked about their smoking status. As nearly 20% of the cohort reported smoking, this represents a critical first step in helping patients access smoking cessation resources. Participating programs demonstrated small but sustained practice changes in smoking assessment, meeting the a priori determined goal of a 90% ask rate. However, as a quality improvement initiative, Just ASK was not designed as a clinical trial, so conclusions regarding the efficacy of the program as an intervention are limited. Selection bias may have also played a role in the findings as program participation was voluntary. Additionally, the initiative lasted just one year and while the initial improvements were steady during that time, the long term impacts of Just ASK on smoking assessment remain uncertain. Looking ahead, the American College of Surgeons recently completed the Beyond ASK initiative. This initiative is designed to go a step further and focuses on improving smoking cessation assistance and we await the results. The Just ASK initiative demonstrates the routine smoking assessment is feasible to complete as routine cancer care. This assessment is essential as identifying patients that smoke is the first and critical step towards offering smoking cessation support, which in turn can improve health outcomes and reduce cancer treatment costs. While Just ASK was a success in increasing assessment, the challenge now is ensuring that smoking cessation support is readily available for all patients who need it. Thank you for listening to . Please give us a rating or review and subscribe so you never miss a episode. You can find all ASCO shows at The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity or therapy should not be construed as an ASCO endorsement.
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Botensilimab Plus Balstilimab in Advanced Sarcomas
03/13/2025
Botensilimab Plus Balstilimab in Advanced Sarcomas
Dr. Shannon Westin and her guest, Dr. Breelyn Wilky, discuss the JCO article, "“Botensilimab (Fc-enhanced anti-cytotoxic lymphocyte-association protein-4 antibody) Plus Balstilimab (anti-PD-1 antibody) in Patients With Relapsed/Refractory Metastatic Sarcomas." TRANSCRIPT Shannon Westin: Hello, everyone, and welcome to another episode of , the podcast where we get in depth on research that has been published in the . I am your host, Gynecologic Oncologist and Social Media Consultant Editor of the JCO, Shannon Westin. I serve here from the University of Texas MD Anderson Cancer Center. And I am so excited to welcome Dr. Breelyn Wilky. She's an Associate Professor and the Director of Sarcoma Medical Oncology in the Department of Medicine Division of Medical Oncology, and the Cheryl Bennett & McNeilly family endowed chair in Sarcoma Research, the Deputy Associate Director of Clinical research at the University of Colorado Cancer Center. Welcome. Dr. Breelyn Wilky: Thank you so much. I'm delighted to be here. Shannon Westin: And with all those titles, I'm super impressed that she was able to complete the manuscript that we're going to discuss today, which is “.” And this was published in the JCO on January 27, 2025. And please note, our participants do not have any conflicts of interest. So this is exciting. Let's first level set. Can you review with us just the current state of sarcoma incidents, survival outcomes, that kind of thing so we all know where we're starting? Dr. Breelyn Wilky: Yes. So, you know, sarcomas are really, I like to call them the black box cancer type. And the big thing is that there's really more than a hundred different kinds of sarcomas, which collectively altogether make up only 1% of adult cancers. And so we talk about these as being bone and soft tissue tumors, but really, the heterogeneity is just incredible. You're talking maybe 10,000 to 12,000 new cases of soft tissue sarcoma per year, which is pretty rare in the grand scheme of things. And the trouble with these is that while you can cure sarcomas if you find them early and they're localized, when they metastasize and spread and are not resectable, we're looking at median overall survivals of really only 12 to 18 months, even, you know, with our best therapies that we have. So, really there's just a dire need for new treatments for this really tough group of diseases. Shannon Westin: Yeah, I agree. I'm a gynecologic oncologist, and we have our little subset of sarcomas that I know there's a little bit out of every one. So I'm really excited to pull this manuscript as one of our podcasts offerings because I think we're all seeing these patients in the clinic and certainly our listeners that have sarcoma or have family members with sarcoma, this is so good to have a real focus on a rare group of tumors that have been a little bit lumped together. Now, with that being said, I know this is such a heterogeneous population, but can you briefly overview a little bit around the standard of care for treatment of recurrent sarcomas? Dr. Breelyn Wilky: We have actually been using the same drugs really since about the 1970s, and up until very recently, nothing had really challenged doxorubicin, the old ‘red devil’, like we used to call it. And this has been the mainstay of treatment for metastatic sarcomas and really used across the board. In the GYN literature, for uterine leiomyosarcoma, we did see some promising activity with the combination of doxorubicin and trabectedin coming out of the French group. But, except for that study, no combination therapy or new drug has been proven better in terms of overall survival compared to doxorubicin monotherapy, really over 40, 50 years. So it's definitely a tough situation. Now, we do have other drugs that we use, so most patients will wind up getting doxorubicin-based therapy. There's a couple of other regimens that we'll reach to, like gemcitabine docetaxel. And once you get into the specific subtypes, we have some approvals in liposarcomas and leiomyosarcomas for some other drugs. But really the median progression for survival for most of these regimens is somewhere four to six months. And response rates typically are somewhere like 10%, 15% for most of these. So it's really just a very tough field and a tough group of patients to try to make an impact for. Shannon Westin: So let's talk a little bit more kind of getting focused on what you've studied here. What's been the role of immunotherapy thus far in the treatment of sarcomas maybe prior to this particular study? Dr. Breelyn Wilky: Clearly, we all know that immune therapy has just changed cancer care forever over the last few years for so many different types of cancers and diseases like melanoma and renal cell and lung cancer have just been transformed by checkpoint inhibitors specifically directed against PD-1 or CTLA-4 or both. And so, of course, you know, sarcoma docs we're super excited to try to see if these might potentially have activity in our tumors as well. I never had seen myself in my career getting into immunotherapy until I was able to run an investigator-initiated study during my role in Miami, where we combined pembrolizumab, so PD-1 inhibitor, with axitinib which was a pan-VEGF inhibitor. And lo and behold, like I had patients that I was seeing responses when other treatments, all those chemotherapies I was just talking about had failed. And one of my first patients I treated was about a 60-year-old lady with something called cutaneous angiosarcoma. So this is a blood vessel sarcoma all over her face. And we had treated her with 10 different therapies, all the chemotherapy regimens, targeted therapies, clinical trials, and nothing was working. But I put her on a phase 1 trial with a baby dose of CTLA-4 and this woman had a complete response. And so for me, once I saw it work in even just those couple of patients, like that was nothing that we'd ever seen with our chemotherapy regimens. And so that sort of shifted my career towards really focusing on this, and this is about the time where some of the studies started to come out for sarcomas. And the take home with sarcoma is about 20% of sarcomas have this sort of immune hot physiology. So what that basically means is if you look at gene expression of immune related gene signatures, or you look for infiltrating T-cells, sort of the SWAT team of our immune system, like you can find those in the tumors. And it's sort of evidence that the immune system had some clue for that 20% of patients that this was a foreign tumor and that it should be attacking it and maybe just needed a little help. But globally, about 80% of sarcomas are these immune cold tumors, which means the immune system has no clue that these things are even a threat. And there's almost no immune activation, very, very few antigens. In other cancer types, high neoantigens or tumor antigens help the immune system work better. And so that basically goes with what we've seen with trials of PD-1 or CTLA-4 blockade. About 20% of sarcomas, with some exceptions, can respond. But really 80% across the board, you're stuck, you just can't get them to be recognized. And so that's where I think this data is so interesting is there's some signals of activity in these immune cold tumors which, at least historically with the trials we've done so far, we really haven't seen that with sort of the traditional checkpoints. Shannon Westin: So I think now this is a great time to maybe talk about the study design in general, the eligibility and just give us kind of a run through of that. Dr. Breelyn Wilky: So this trial was a phase 1 trial of a drug called botensilimab, which is a next generation CTLA-4 directed immune modulator. So what makes botensilimab different is that the CTLA-4 end is very similar to other CTLA-4 inhibitors that are out there, but it's been engineered on the back end of the molecule that binds to Fc gamma receptors to basically bind tighter with higher affinity. And what this translates to in laboratory models and increasingly now in patients is it does a better job of priming, of educating our T cells, our, again, these highly intelligent antigen specific cells, but also natural killer cells. It does a better job of sort of educating those. It helps to activate macrophages and other supporting actors in the immune response. And so the idea here is that there's evidence that botensilimab may do a better job at creating new responses in immune cold tumors. The study combined either botensilimab as monotherapy or in combination with a PD-1 inhibitor called balstilimab. And this was all comers, really a variety of tumor types. And to date I think we're close to about 500 patients with a variety of solid tumors that have been accrued to this study, this C-800-01 phase 1 trial. This paper reports on the sarcoma patients that were enrolled as part of this study. And so, again, given what I've told you about sarcomas being really immune cold, we were just so excited to have the opportunity to enroll on a next generation immune therapy for these tumors that really we were running into roadblocks trying to use immunotherapy previously. Shannon Westin: It's a very compelling idea and I'm so excited for you to tell people what you found. I think first things first, it was an early phase trial. So why don't we talk a little bit about the safety of the regimen. Was there anything that you didn't expect? Dr. Breelyn Wilky: Right. So similar to other checkpoint inhibitors, you know, the idea is that these drugs can cause immune mediated toxicities, right? So essentially you're revving up the immune system and it can sometimes get a bit confused and start attacking our normal cells, our normal organs, leading to essentially any number of toxicities of basically head to toe, something can get inflamed and you can develop a toxicity from that. So the key take homes with this particular drug with, botensilimab with balstilimab, we saw colitis was sort of the primary immune mediated toxicity and it was about a third of patients, give or take. It happens and it can be aggressive and needs to be managed aggressively. And you know, one of the things that we learned very quickly taking part in this study is how important it is that as soon as patients start to get diarrhea, immunosuppression gets on board. So steroids, early use of TNF alpha blockade, so infliximab for example, if we jumped on it quickly and we recognized it and we got the patients treated, it would resolve fairly quickly and even some patients could remain on treatment. So I think that was sort of the first take home is “Okay if you get colitis, you treat it fast, you treat it early and you can still have patients not only recover, which essentially everybody recovered from this colitis and then being able to continue on treatment and still have their anti-tumor responses.” So that's the first point. The second thing that was really interesting is part of the engineering of botensilimab on the back end of the molecule, it's been designed to decrease complement binding and it's thought that that triggers some of these other toxicities that we've seen with prior CTLA-4 inhibitors like pneumonitis or hypophysitis. We actually don't see that with botensilimab. So there's sort of this selective toxicity that may reflect the design of the molecule. But overall the treatment was, we didn't see any new safety signals that were outside of what we would expect in class. And colitis was sort of the dominant thing that we had to be ready for and ready to manage. Shannon Westin: We've been doing it for a while now, so we kind of know what to do and we can act quickly and really try to mitigate and avoid some of the major toxicities. So that's great that that was what was reflected in what you found. And then of course I think: What about the efficacy?” Right. This is what we care about as practitioners, as patients. Does it work and are there any subtypes that seem to benefit the most from this combination? Dr. Breelyn Wilky: Right. So for the sarcoma patients, we treated 64 patients and 52 of those patients were evaluable for efficacy. So a decent size group of patients in sarcomas, where, you know, typically our trials are pretty small, they're very rare, but we had 52 evaluable with at least one post baseline scan. So that was our criteria. And basically we saw across all of the patients, and keep in mind, these are heavily pre-treated patients, as you mentioned, so a median of 3 prior lines of therapy, so most of these patients had had chemotherapies and then about 20% had also had prior immunotherapy as well. So PD-1 treatments or so on. The overall response rate by RECIST was 19.2% for all of the evaluable patients. And then with iRECIST, which is sort of that immune adapted response criteria that allows for early pseudo progression, we actually had another patient who did have that. And so that response rate was 21.2%. Overall, we were really excited to see this in a heavily pre-treated group of patients. But what was really exciting to me was when we looked at the subset of patients that had angiosarcoma, that blood vessel tumor I was talking about earlier with my other patient. So angios come in two flavors. One is this sort of cutaneous type, or meaning involving the skin that has a UV signature, a UV damage signature, very similar to melanoma. So these tumors tend to have a high mutation burden. And oftentimes there is a track record that we've seen responses with immunotherapy in cutaneous angiosarcomas. But the other group that we deal with is called visceral angiosarcomas. And so these are totally different biologically. These are often driven by mutations in MYC or KDR amplification, and they arise in organs, so primary breast angiosarcoma, not associated with radiation, or they can arise in the liver or the spleen or an extremity. So these are very, very different tumors, and the visceral ones almost never historically have responded to checkpoint inhibitors. So we had 18 patients with angio split - 9 with cutaneous, 9 with visceral. And we were just blown away because the response rate for that group was 27.8%. And if you looked at the responses between the hot ones and the cold ones, it was almost equal and a little bit better in the visceral. So we had a 33% response rate in visceral angiosarcoma, which is crazy, historically speaking, and about 20% again in the cutaneous angios. So for a disease where visceral angio gets treated with chemotherapy, might respond initially, but then rapidly progresses - like these people go through multiple lines of therapy - to have a third of patients responding, and then some of those responses were durable. Our median duration of response for the study was 21.7 months, which is just nuts for sarcomas where we just don't see those sorts of long term benefits with the drugs that we have. So I think those are kind of the two main things. There were other subtypes that had clinical benefit and responses as well in d-diff liposarcoma, soft tissue leiomyosarcoma, which are again thought to be fairly cold immune subtypes. So just really exciting to kind of see responses we hadn't expected in a very challenging group of tumors. Shannon Westin: We see all these patients and we have patients that respond so well to immunotherapy with other histotypes. And so it's so exciting to see an option for these really hard to treat tumors that our patients struggle with. So this is so, so very exciting. I wanted to make mention, you know, I was really impressed with the amount of translational work you were able to do in this early phase study. So do you want to review just maybe a few of the key findings that you guys discovered? Dr. Breelyn Wilky: It's always great. I'm a translational researcher at heart and we do a lot of immune correlative work. And I think the reason I got so excited about this field to begin with was trying to learn why it works for some patients and why it doesn't work for other patients. So I'm a huge believer in learning from every patient that we can. So it's such a testament to the company, Agenus, who sponsored this trial to invest their time and resources into correlative studies at this phase. It's huge. So we learned a couple of things. IL-6 or interleukin 6 is a cytokine that basically has, in other tumor types, been associated with worse outcomes. And what we were interested in this group is we saw the same thing. And again, sarcomas have very, very little correlative biology that's done. We're really in infancy and understanding the microenvironment and how that milieu balances out in our tumors. So we were really excited to see again that lower peripheral interleukin 6 associated with improved overall survival. So again, kind of sorting out a group of patients that might be immunologically favorable when it comes to this type of therapy. The other thing that's important to know about sarcoma is so the other tumor types are lucky and have PD-L1 expression and the tumor is a biomarker, but we never have PD-L1 expression. We can find it in sarcomas and it can be loosely correlated with a chance of benefit with immunotherapy. But I've had patients respond that were PD-L1 negative, and I've had patients that were loaded with PD-L1 that didn't seem to make a difference. And that's not just in this study. So we saw in this trial a trend towards improved overall survival with PD-L1 expression that wasn't significant, but there was like this trend. And it's really interesting because, again, this is largely a CTLA-4 directed therapy. And so what we wondered is if PD-L1 expression is an index of sort of this underlying potential immunogenicity. And actually PD-1 works very late in the whole immune process. That's really at the very end where you've got the T cell that's facing the tumor cell and it's just activating that T cell that's already grown up and already educated and ready to go. Whereas CTLA-4 is really educating in early immune responses and expanding the T cells that have potential to kill. So I'm interested to look into this in more depth in the future to see if this is actually the biomarker for CTLA-4 directed therapy that we've been looking for, because we really don't have a great sense about that. And then the last piece just to note is that in this trial, like most others, very, very few sarcomas had high mutational burden. Everybody was very low, which reflects the population. And it's just really more encouragement than an immune cold tumor with very crappy neoantigens can still respond to immunotherapy if we get them the right agents. Shannon Westin: Yeah, I mean, I'm taking notes because we have such a struggle with this across the gynecologic tumors. I'm like, “Okay, maybe this is finally it.” So hopefully your work will go on to really inspire us across a number of solid tumors that have been traditionally cold. So, so very exciting. And I would just say for my last question, obviously, congratulations on this successful study. What do you think are the next steps for this combination in sarcomas? Dr. Breelyn Wilky: So, again, just to your point, this trial enrolled a bunch of different subtypes, and sarcomas are not the only immune cold tumor that this combo has looked really promising for, microsatellite stable colorectal cancer, ovarian cancer that was platinum refractory, non-small cell lungs. So I think the future is really bright for immune cold tumors kind of across the board. So, yes, lots of hope for not just sarcomas but in terms of our patients, I just have to be so grateful to Agenus for their interest in a rare disease. Sometimes it's hard to get that interest for a very challenging group of patients that are all heterogeneous, they are not all the same and our big clinical trials are a few hundred patients. It's just a very different...
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JCO Article Insights: Long-Term Outcome of Neoadjuvant Chemotherapy for Rectal Cancer
02/24/2025
JCO Article Insights: Long-Term Outcome of Neoadjuvant Chemotherapy for Rectal Cancer
In this JCO Article Insights episode, Peter Li summarizes “,” by Dr. Jianwei Zhang et al. published on December 13, 2024. TRANSCRIPT Peter Li: Hello and welcome to the . I'm your host Peter Li and today we will be discussing the Journal of Clinical Oncology article, “,” by Dr. Jianwei Zhang et al. For a reminder to the audience, the FOWARC study is a Chinese-based study that looked into the treatment of locally advanced rectal cancers with neoadjuvant chemotherapy based regimens with or without radiation. This study was first published back in 2019 where the three-year data showed no difference in three-year disease-free survival over survival between the three study arms. As a reminder of what those arms were, there were one historical control and two interventional arms. The control arm used 5-FU with radiation therapy with five cycles of 5-fluorouracil with radiation during cycles two to four followed by surgery and then seven cycles adjuvantly. Their first interventional arm was the same as the control arm with the addition of oxaliplatin on day 1of each cycle. And lastly, the third arm was FOLFOX only for four to six cycles followed by surgery and then six to eight cycles adjuvantly completing about a total of 12 weeks of chemotherapy. They recruited about 495 patients with 165 patients randomized to each arm. They were relatively well balanced by age, clinical staging and distance from the anal verge. Median age was about mid-50s with a slight male predominance and patients were primarily stage 3 with 20% to 30% being stage 2. About 30% had clinical T4 disease and about 25% had clinical N2 disease. Median follow up time was 122.5 months or 10 years and their follow up endpoints were disease-free survival, overall survival and local recurrence, and they also performed subgroup analyses based on post surgical pathological staging. Survival was analyzed using Kaplan-Meier method with a significant threshold of p being less than 0.05. About 451 patients actually underwent surgery, which is about 91% of patients. The main reason for not going through surgery was due to refusal but one was due to toxicity and two were due to disease progression in the control arm. Follow up loss rate was about 10% in each group. Now looking at their primary endpoints in their initial study, local recurrence was about 8.8% in the control arm versus 7.9% in the FOLFOX radiation group versus 9.2% in the FOLFOX only group. Distant metastasis was about 30% in each arm and the sites of metastases were primarily in the lung and liver. Now, following up with 10 years, there were only three new events in the chemoradiation group with local recurrence happening at 10.8% in the control arm versus 8% in the FOLFOX RT group versus 9.6% in the chemo only group. These findings were not statistically significant. In their subgroup analysis by pathological staging, they found that pathological CR or complete response had a lower rate of local recurrence compared to those with increasing pathological staging coming in at 3% versus 4.3% versus 11.6% versus 15.8% in pCR versus Stage 1, 2, 3 respectively. And they found no difference in each stage with each interventional arm. Looking at long term survival their 10-year disease free survival showed 52.5% in the 5-FU radiation group versus 62.6% in the FOLFOX RT group versus 60.5% in the chemotherapy only group with no statistically significant difference between three groups. By pathological staging, they found improved 10-year disease survival in those who achieved pathological complete response versus those who did not with 84.3% in the pCR group versus 78.7% versus 56.8% versus 27.7% in the stage 1 versus 2 versus 3 group. And again they found no statistical significance difference between each arm. Now looking at the 10-year overall survival rates between the three arms, in the control arm the 10-year overall survival was 65.9% versus 72.3% in the FOLFOX RT group versus 73.4% in the chemo only group. By pathological stage, again, they showed a statistically significant difference in those who achieved pCR versus those who had pathological stage 1 to 3 disease with overall survival being 92.4% in those who achieved pCR versus 84.9% versus 68.6% versus 48.8% in stage 1, 2, 3 respectively. Now in the discussion, authors mentioned that with a median follow up of 10 years, FOLFOX alone had similar disease-free survival, local recurrence and distant metastasis and overall survival compared to those who received neoadjuvant chemoradiation, justifying the omission of radiation without compromising results or outcomes for each patient. There were no differences in subgroup analysis for disease free survival local recurrence or overall survival based on pathological staging. There were only three new events compared to the last follow up, with local recurrence happening only in the chemo radiation groups. Local recurrence rates at 10 years was about 10%. Compared to other clinical trials such as CAO, ARO or AIO-94, the rate of local recurrence was similar to those historical trials. The authors also compared their findings to the PROSPECT study which looks at the use of total neoadjuvant chemo radiation versus chemotherapy alone, which boasted only about a 2% local recurrence rate. But as a reminder, high risk locally advanced rectal cancers were excluded, mainly those with T4 or N2 disease, which may explain the difference in terms of local recurrence in the PROSPECT versus this study. Another finding is that pathological complete responses are also an important prognostic marker with lower 10-year local recurrence rate, disease-free survival and overall survival with worse outcomes with increased pathological staging. Distant metastasis rates were still at 30%, with the most common site being lung then liver then lymph nodes consistent with other historical studies. Chemotherapy seemed to be better at reducing liver mets than lung metastasis per their findings. In their post hoc analysis of their own study, chemo radiation was also associated with higher incidence of low anterior resection syndrome and persistent ostomy compared to chemotherapy alone, meaning that they had better quality of life with the chemotherapy only approach. In conclusion, a chemotherapy only approach can be safe and a feasible treatment for locally advanced rectal cancer without compromising outcomes. Omission of radiation may reduce the risk of overtreatment and improve quality of life for some of these patients. However, this does not necessarily exclude the role of radiation as it may still play a role in a response escalation approach for those who do not respond to chemotherapy alone. This wraps up today's episode. Thank you for listening to . Please come back for more interviews and article summaries and be sure to leave us a rating and review so others can find our show. For more podcasts and episodes from ASCO, please visit The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity or therapy should not be construed as an ASCO endorsement.
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High Omega-3, Low Omega-6 Diet with Fish Oil and Prostate Cancer
02/13/2025
High Omega-3, Low Omega-6 Diet with Fish Oil and Prostate Cancer
Host Dr. Shannon Westin and guests Dr. Bill Aronson discuss the article "High Omega-3, Low Omega-6 Diet With Fish Oil for Men With Prostate Cancer on Active Surveillance: The CAPFISH-3 Randomized Clinical Trial" and how Omega-6 are predominant in the American diet while the study significantly lowered the intake of Omega- 6 fats. TRANSCRIPT Dr. Shannon Westin: Hello everyone and welcome to another episode of , the podcast where we get in depth on manuscripts published in . I'm your host, Dr. Shannon Westin, GYN Oncologist by trade and one of the grateful Social Media Editors of the . And I am very excited to welcome a special guest today, Dr. William Aronson. He is professor of Urology in the UCLA Department of Urology, the Chief of Urology at Olive View UCLA Medical Center, and Chief of Urologic Oncology at the Veterans Administration West Los Angeles. Welcome, Dr. Aronson. Dr. William Aronson: Thank you, Shannon, and delighted to be here. Dr. Shannon Westin: We are so excited to have you discussing your manuscript, “,” which was published in the on December 13, 2024. So let's get right to it. First of all, you know we have a very mixed audience, so can you just level set for us and speak about the population you studied in this important trial - that low risk, favorable, intermediate risk prostate cancer. How common is that? How is it defined? That would really help. Dr. William Aronson: I would say about 50% of the patients that we diagnose with prostate cancer either have low risk disease or what we call favorable intermediate risk disease. So when the pathologists look at the cancer under the microscope, they assign what's called a Gleason grade. Grade 3 is the slower growing type of prostate cancer, grade 5 is the fastest growing type, and grade 4 is somewhere in between. So a low risk group would be only the grade 3, the slower growing type. And the favorable intermediate risk group would actually be the grade 3+4, which means they mostly see the low risk type in there, but they also see the slightly faster growing type, grade 4. So this is what we typically see. We see these patients on a very regular basis when they're newly diagnosed with prostate cancer. Dr. Shannon Westin: Okay, got it. And then can you walk us through just what the management options are typically for this patient population? Dr. William Aronson: So typically for what we call the low risk group, the patients with a low PSA and only that grade 3 type, slower growing type of prostate cancer, the standard recommendations are active surveillance. So typically, we'll periodically monitor these patients with PSA blood testing and periodically do prostate biopsies depending upon the patient's other medical problems. Dr. Shannon Westin: So I think it would also be really helpful just to understand what your typical management options are for this patient population. Dr. William Aronson: So for patients with low risk prostate cancer, they only have the Gleason Grade 3+3 with a low PSA. The standard practice is observation. And so these men will periodically see them and measure their PSA values. And periodically, they'll undergo prostate biopsy to make sure they're not getting progression of their disease. For men with favorable intermediate risk prostate cancer, that's a little different. In some practices, the patient and the urologist will decide to do active surveillance. In other scenarios, these patients will definitely elect treatment, either with radical prostatectomy or radiation therapy or other treatments that are available. Dr. Shannon Westin: So your manuscript notes that there was a high level of interest in dietary supplements and approaches among patients with prostate cancer that do elect for active surveillance. Prior to the results of CAPFISH-3, did we have any data to support those types of recommendations? Dr. William Aronson: We actually don't have any long term prospective randomized trials that support that recommendation. There have been a number of very interesting epidemiologic studies, for example, suggesting maybe a plant-based diet might be helpful. Or a number of other studies suggesting maybe more tomato-based products like tomato sauces or tomato paste may be helpful. But no prospective longer term randomized trials that were positive. Dr. Shannon Westin: Okay, that makes sense. So what led you all to explore the high omega-3, low omega-6 fatty acid diet in this trial? Dr. William Aronson: After our initial omega-6 studies, we subsequently did some studies where we raised the omega-3 from fish oil and lowered the 6, looking at a more favorable ratio of the omega-3 to omega-6. And once again, we found that in our animal models, there was a significant delay in progression of prostate cancer. That then led us to perform a clinical trial. It was a short term trial in men prior to undergoing radical prostatectomy. And in these men, they were randomly assigned to one of two groups, either a western high fat diet or a low fat diet with fish oil. And we found after just four to six weeks, a significant change in the Ki67 level in their radical prostatectomy tissue. And Ki67 is actually a strong indicator of prostate cancer progression, spread, or even death from prostate cancer. Dr. Shannon Westin: Well, and I think that leads us really nicely into the design of the current study. So why don't you walk us through how CAPFISH-3 was designed. And you've already spoken a little bit about your primary endpoint. Dr. William Aronson: Based on the results of what we saw in the lab and what we saw in our short term clinical trial, we decided to perform a one year trial, a longer term trial in men on active surveillance. And these men were randomly assigned to either a diet with slight reduction in dietary fat, specifically reduction in the omega-6 intake as well as increase in foods with omega-3 and fish oil capsules. The other group, we asked the men to just not take fish oil capsules, but they could eat whatever else they wanted during the course of the study. Men in the diet where we lowered the omega-6 and raised the omega-3, they were seen by a dietitian once a month to really ensure that they were compliant with that intervention, which they were. The other intriguing part of our study, which I think is super important, is the precision that was used when these men underwent prostate biopsy. So, at baseline and at one year, when these men underwent prostate biopsy, they had the same site within the prostate biopsied. That's important because it's not so easy to find the same site within the prostate because of heterogeneity throughout the prostate. And so we were able to obtain that high level of precision as they were in an active surveillance program at UCLA with Dr. Leonard Marks. Dr. Shannon Westin: So we spoke a little bit about what's important about the Ki67 index as your primary endpoint. Can you talk a little bit about what the study found with your intervention? Dr. William Aronson: So we found that the Ki67 index increased by 24% in the control group and decreased by 15% in the low omega-6, high omega-3 group with fish oil capsules. So that ended up resulting in a statistically significant change between the groups favoring the low omega-6, high omega-3 group. Dr. Shannon Westin: And then what were the secondary endpoints that CAPFISH-3 explored? Anything of note that you want to review for the listeners? Dr. William Aronson: So a number of positive secondary endpoints from the trial. Firstly, we saw that the triglyceride levels were lower, which is what can typically be seen with omega-3 intake. We also saw reduced levels of a cytokine, a circulating factor in the bloodstream called ‘macrophage colony stimulating factor’. And that's particularly interesting because there's a certain type of macrophage which is well known to be involved in prostate cancer progression in men with more advanced prostate cancer, and we've been able to inhibit that in our animal models and in our tissue culture studies. And it was especially interesting to see that we did have an effect on this particular cytokine in this prospective randomized trial. We did not see changes in a number of other measures, including Gleason grade or PSA. These are measures that we use in clinical practice. To see an effect on those would have required a longer term and larger study to be performed. Dr. Shannon Westin: That makes sense. I think it's always great to try to get as much of these types of translational data as we can. But sometimes you just have to do what is reasonable and you get what you get. It looks to me like this regimen was fairly well tolerated. Did you obtain any patient reported outcomes or feedback on the trial? Dr. William Aronson: So, there were four patients in the fish oil group that did have some side effects, and we withdrew them from the study. They did have some effects on their upset stomach, and a number of men also had some diarrhea as well. And so for those four patients, we did withdraw them from the study. Dr. Shannon Westin: And then I guess the last question I have is really, what's next for this intervention? Are we ready to move this to the clinic or what do you see as next steps? Dr. William Aronson: Well, this next step that we're working on right now is to better understand exactly what happened in these patients. So we have blood, we have tissue, we're doing genetic studies on these patients. So that's really the first step, in our mind, to better understand what happened before moving to the next step. I'm particularly intrigued about trying this intervention in men with more advanced prostate cancer, specifically because of what we see, this particular diet and how it's affecting the patient's immune system and how that may favorably affect their course of their prostate cancer. Dr. Shannon Westin: Well, great. Well, thank you so much for taking the time to chat with us about such an important clinical trial, and I really appreciate all the work you're doing and hope to get to see you soon. Dr. William Aronson: Well, thanks for having me, Shannon. It's really an exciting finding and I think it's something that clinicians and patients are going to be super interested in. Dr. Shannon Westin: We love straightforward interventions that actually make a difference, so you guys are to be congratulated for that. And I just want to thank all of you for listening. Thanks again, and I hope you enjoyed this episode of . Be sure to check out our other wherever you get your podcasts. Have an awesome day. The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement. Dr. Aronson Disclosures: Stock and Other Ownership Interests Johnson and Johnson Speakers' Bureau Company name: Janssen Oncology, Bayer, Blue Earth Diagnostics, AstraZeneca, Pfizer/Astellas Research Funding: Lantheus Medical Imaging
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JCO Article Insights: TROPION-Lung01 Dato-DXd in NSCLC
01/27/2025
JCO Article Insights: TROPION-Lung01 Dato-DXd in NSCLC
In this JCO Article Insights episode, Ece Cali summarizes findings from the JCO article, "" TRANSCRIPT Ece Cali: Hello and welcome to the . I'm your host Ece Cali and today we will be discussing the article the “.” Despite significant advances in non-small cell lung cancer treatment over the past decades, second line treatment options for non-small cell lung cancer without actionable genomic alterations have remained largely unchanged since 2000. Many clinical trials failed to demonstrate improved overall survival compared to docetaxel based regimens. TROPION-Lung01 is a global open label randomized phase 3 trial comparing the efficacy and safety of Dato-DXd to docetaxel in patients with previously treated advanced or metastatic non-small cell lung cancer. Dato-DXd is an antibody drug conjugate targeting TROP2 and delivering deruxtecan, a DNA topoisomerase 1 inhibitor, as its payload. The trial is designed with dual primary endpoints of progression free survival, as assessed by blinded independent central review, and overall survival. The initial PFS results were presented at ESMO in 2023 and this article reports more detailed data and overall survival analysis of the trial. In the TROPION-Lung01, 299 patients were randomly assigned to receive Dato-DXd and 305 patients to receive docetaxel. Patients were stratified by the presence of actionable genomic alterations, histology, treatment with PD-1/PD-L1 immunotherapy as the last line of therapy, and geographical region. The baseline characteristics of the patient population were overall balanced between the treatment arms. I'd like to highlight a couple of key points here. The median age was 63 years in the Dato-DXd and 64 years in the docetaxel arm. Similar to the many clinical trials in the thoracic oncology field, this is younger than the median age of lung cancer diagnosis in the US, which is around 70. African American and Hispanic patients were underrepresented in this trial with 41% of patients identifying themselves as white and 39% as Asian. The D\docetaxel arm had a slightly higher percentage of male patients, 69% versus 61%. The majority of the trial population, 73%, had adenocarcinoma. Patients with actionable genomic alterations were included in this trial if they received one or more targeted therapy and platinum based chemotherapy prior to the enrollment. 17% of the trial population had an actionable genomic alteration in this trial. When it comes to the efficacy results in the full analysis set, the PFS improvement was statistically significant. The median PFS was reported as 4.4 months for the Dato-DXd, and 3.7 months for the docetaxel arm with the hazard ratio of 0.75 and a P value of 0.004. However, after a median follow up of 23 months, the trial did not meet its primary endpoint of overall survival. The median overall survival was 12.9 months for patients treated with Dato-DXd and 11.8 months for patients treated with docetaxel with the hazard ratio of 0.94 and a P value of 0.53. Objective response was a secondary endpoint and the confirmed objective response rate was 26% with Dato-DXd, and 13% with docetaxel. Now let's take a closer look at some of the subgroup analyses. Exploratory analyses of key subgroups in TROPION-Lung01 demonstrated differences in efficacy based on histology. In the nonsquamous subgroup, Dato-DXd showed a longer progression free survival of 5.5 months compared to 3.6 months with docetaxel with a hazard ratio of 0.84. However, in the squamous subgroup, Dato-DXd performed worse with a progression free survival of 2.8 months compared to 3.9 months with docetaxel corresponding to a hazard ratio of 1.32. A similar trend was observed in the overall survival analyses, though confidence intervals crossed 1 in both histology subsets, in this case, the differences observed were not statistically significant. In the nonsquamous subset, the median overall survival was 14.6 months with Dato-DXd and 12.3 months with docetaxel with a hazard ratio of 0.84. In the squamous subset, both arms had shorter survival compared to the nonsquamous subset. The median overall survival with Dato-DXd was almost two months shorter, so 7.6 months, compared to 9.6 months with docetaxel corresponding to a hazard ratio of 1.32. While these analyses suggest the potential survival benefit for Dato-DXd in nonsquamous subset, this trial was not powered to test this hypothesis hence these analyses remain exploratory. Another subgroup analysis of note was the group with actionable genomic alterations. Patients with actionable genomic alterations achieved a median PFS of 5.7 months with Dato-DXD and 2.6 months with docetaxel corresponding to a hazard ratio of 0.35. Similarly, the median overall survival was longer in patients with actionable genomic alterations by almost six months, with a median overall survival of 15.6 months with Dato-DXd and 9.8 months with docetaxel corresponding to a hazard ratio of 0.65. Now, let's talk about safety. Grade 3 or higher treatment related adverse events occurred in 26% of patients with Dato-DXd and 42% with docetaxel. The most common adverse event of any grade seen in the Dato-DXd arm were stomatitis seen in 47% of patients, nausea in 34%, and alopecia in 32%. Treatment related interstitial lung disease occurred in 8.8% of patients on Dato-DXd and 4.1% of patients on docetaxel. Of note, grade 5 drug related ILD was more frequent with Dato-DXd. Seven patients on Dato-DXd and one patient on docetaxel died secondary to drug related ILD in this trial. In summary, TROPION-Lung01 aims to address an unmet need for patients with previously treated non-small cell lung cancer. For this population, the treatment options remain limited with poor survival outcomes. TROPION-Lung01 is a positive trial by design due to clinically modest improvement in PFS. However, the lack of overall survival improvement is disappointing. Exploratory subgroup analyses suggest Dato-DXd may offer survival advantage in specific subsets such as nonsquamous non-small cell lung cancer and patients with actionable genomic alterations. However, these findings require further validation in a prospective trial since TROPION-Lung01 was not designed to address these questions. The data from this trial alone is not sufficient to argue for a change in clinical practice. However, it informs how the future trials using this drug should be tailored. This highlights the importance of studying potential predictive biomarkers earlier in the drug development and incorporating these biomarkers prospectively into the clinical trial designs. Due to the lack of overall survival benefit in this trial, the biologic license application for accelerated approval of Dato-DXd for patients with previously treated nonsquamous non-small cell lung cancer was voluntarily withdrawn. New BLA was submitted for Dato-DXd for patients with previously treated advanced EGFR positive non-small cell lung cancer. This BLA is based on data from TROPION-Lung05, TROPION-Lung01 and TROPION-PanTumor01. Of note, the results of TROPION-Lung05 trial have been just published in . This wraps up today's episode. Thank you for listening to . Please come back for more interviews and article summaries and be sure to leave us a rating and review so others can find our show. For more podcasts and episodes from ASCO, please visit The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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Air Pollution and Breast Cancer Incidence
01/09/2025
Air Pollution and Breast Cancer Incidence
Host Dr. Davide Soldato and his guests Dr. Ann Wu and Dr. Alexa White discuss the article "" and the editorial "" TRANSCRIPT The guests on this podcast episode have no disclosures to declare. Dr. Davide Soldato: Hello and welcome to , the podcast where we sit down with authors from some of the latest articles published in the . I am your host, , Medical Oncologist at Ospedale San Martino in Genoa, Italy. Today, we are joined by JCO authors Dr. Anna Wu and Dr. Alexander White. Dr. Wu is a professor of Population and Public Health Sciences at the Keck School of Medicine of UCS, while Dr. White is an investigator in the Epidemiology branch of the Environment and Cancer Epidemiology Group at the National Institute of Health. Today, we will be discussing the article titled, “,” and the . So, thank you for speaking with us, Dr. Wu, Dr. White. Dr. Anna Wu: Thank you for having us. Dr. Alexandra White: Yes, thank you so much for the invitation to be here. Dr. Davide Soldato: So before going in depth about the results of the study that was published in the JCO, I was wondering if you could give us like a brief introduction and a little bit of background about what was known about air pollution as a risk factor for breast cancer and what was the evidence before this study was conducted. Dr. Alexandra White: Okay. I can start with that question. So, there's been research for decades looking at the relationship between air pollution and breast cancer. And it's been a really challenging question to address for a number of reasons. One being that it can be really difficult to assess exposure to air pollution and many previous studies have had really limited information on people's residences over time. But in general, what we thought leading up to this study was that evidence was most consistent that exposure to traffic related pollutants such as nitrogen dioxide was more consistently related to a higher risk of breast cancer. The evidence for fine particulate matter or PM2.5 was less consistent. More recently, there have been a few large, well conducted studies that have supported a positive association. This new study in the multiethnic cohort led by Dr. Wu is really important because it really demonstrated that, in this large study of over 50,000 women in California, that they also do see an association with PM2.5. Dr. Davide Soldato: Thank you very much for the introduction. So, Dr. Wu, we just want to hear a little bit more about the results. So, what was the association that was observed for PM2.5? And specifically, the study that you ran was focused on a very diverse population, a multiethnic cohort, and so I was wondering if you observed any type of differences when you consider the different populations that were included in your study. And if you could also give us a little bit of what was the composition of the women that were enrolled in this cohort. Dr. Anna Wu: Thank you for the question. So, the multiethnic cohort study is a cohort of over 200,000 individuals who were enrolled when they lived in Hawaii or California. For the air pollution studies that we've been conducting, we have focused on primarily the California participants. And in this instance for the breast cancer study, it was based on roughly 56,000 individuals out of- there were about 100,000 because half of them were men and they were not included. Of the California participants, 75% of them were African Americans or Latinos and they were self-identified as these racial ethnic groups when they enrolled in the study. And this was a particularly important consideration for us because in most of the studies that have been published so far on-air pollution and breast cancer, as well as other cancer sites, most of those studies were conducted among whites in the US or whites in Europe. And even if they included non-white populations, the numbers tend to be small so that they were not able to conduct racial ethnic specific analysis. So, we were particularly interested in examining these other racial ethnic groups because we know from other studies that racial ethnic minority groups tend to live in communities of low socioeconomic status and those communities also tend to have higher levels of various types of environmental pollutants. And so, it was important for us to actually try to tease apart these various interrelated factors. So, what we found was that per 10 micrograms per cubic meter, we had a 28% increased risk overall in all participants combined that meet across the racial ethnic groups. We actually did not see any differences or significant differences in the hazard ratios by race ethnicity and they were in general quite compatible with each other. But we did see a stronger finding among the white participants in our study. Dr. Davide Soldato: Thank you, a lot, Dr. Wu. So, I think it's very interesting the fact that in the end you observed that air pollution is a significant risk factor across all the ethnicities that were included in the study. But I think that one very strong point of the manuscript and one very strong point of the analysis was that in the end you also corrected for a series of different factors because we know that the incidence of breast cancer can be modified, for example, by familial history or BMI or smoking habits or also alcohol consumption. And a lot of these risk factors were included in your analysis. And so, I was wondering if you could tell us a little bit whether you observed any significant differences when you observed or included also these risk factors in your analysis, or whether the association for air pollution as a risk factor stands even when we consider all of these other elements. Dr. Anna Wu: Yes. So, we considered all the well-established breast cancer risk factors. And in this situation, we were particularly interested in considering smoking, alcohol intake, use of menopausal hormones, history of diabetes, body mass index, family history, as well as physical activity, because many of these risk factors, such as, for example, diabetes and body mass index, they are risk factors for breast cancer, and air pollution, have also been found to increase risk of these factors. So, in our analysis, we first adjusted for all of these potential confounders in a mutually adjusted manner, so all of them were considered. In addition, we also conducted stratify analysis. So as an example, we stratified the analysis to examine whether the hazard ratio associated with PM2.5 provided comparable risk estimate or hazard ratio estimates for never smokers, former smokers, and current smokers. Although we did not see significant heterogeneity by these various subgroups, we did see a significantly stronger effect of PM2.5 among individuals who did not have a family history of breast cancer. Interestingly, our finding was also stronger among individuals who were never smokers and light alcohol drinkers, even though the results were not significantly different. So, we surmised that maybe individuals who already had a high risk because of other established risk factors for breast cancer, we were less likely to be able to observe the effect of air pollution. But it's important to note that other studies, such as the ones that Dr. White has conducted, have also looked at various subgroups, and I think part of the limitation that all of us have is that once you subdivide the study population, even if you start out with a large sample size, often the sample size gets cut in half or a third. And so, we still lack the statistical power to be able to observe significant differences. But I think it is important to note that, in fact, the hazard ratio estimates are actually quite comparable, but we did see a hint of stronger effects among never smokers, and people who were light alcohol drinkers. So, I think this is an area that we certainly need to continue to investigate since there are other subgroups, such as menopausal status, such as hormone receptor status of breast cancer, that we need to consider in future studies. There's still a lot of work we need to do to sort this out, to actually figure out who are the women who are the most susceptible to the exposures. Dr. Davide Soldato: Dr. White, I would really love a comment from you on this specific area and specifically on what still needs to be done. And related to this, a question actually, for both of you, because I think that from a methodological point of view, there is a lot of work that goes into deciding how we are going to assess the exposure to air pollution. So which type of data are we going to use? Which type of data are we currently using in the epidemiological studies that have been conducted and in the one that we are discussing right now in JCO? And what are the caveats for this data that we are using? Meaning, I think that we use mostly residential addresses, which means that we are looking at the exposure where people actually live, which might not be the place where they spend most of their time. For example, if someone is working, maybe they could be more exposed and have higher exposure when they are at work compared to when they are at home. So, I was wondering if you could give us a little bit of an overview as to what is the methodological standard of care right now in terms of this analysis and what can we do better to refine and understand this specific factor as Dr. Wu was mentioning? Dr. Alexandra White: Yeah, so I'm happy to take a first stab at that question. So, I think it's important to note just how far we've come. I think even a few years ago, air pollution was really not considered a risk factor for breast cancer. And a lot of the work that we've been doing and others have really moved this forward in terms of understanding this as a risk factor. And as I mentioned earlier, there have been a lot of challenges in exposure assessment. And to get to your question, I think that our studies in general are doing better at looking at exposure over more years, residences, more time. We know that cancer takes time to develop, and we can't rely on just a single snapshot of exposure. But as you mentioned, almost all of the studies published have really exclusively focused on residential estimates of exposure. And so, there's a real need to understand the exposures that people are experiencing in other aspects of their life, from their commute to their jobs, to really capture that totality of exposure. And then I think one of the points that Dr. Wu was alluding to as well as we know that breast cancer is a very heterogeneous disease, so risk factors for breast cancer vary by tumor subtypes, by menopausal status at diagnosis. And a lot of studies have really focused on considering breast cancer as a combined outcome, and that might be missing some really important signals where we might have a stronger effect for certain subtypes due to the fact that there's different biologic pathways that are underlying these subtypes or by menopausal status. And so having large study populations where, as we discussed earlier, would really give us the power to look among these smaller groups of women who might be more susceptible and those with younger women, we know that incidence of cancer is rising in young people, and we need to understand the risk factors for that. And most of our studies are really focused on older individuals, so I think that's one important gap, as well as having the power to really look at different differences by tumor subtypes. Dr. Davide Soldato: I think it's very interesting, and I think one point both of you made in the original article and in the accompanying editorial is also the fact that we tend to look at these risk factors in people who are actually aged, while we maybe should be looking at this in an earlier phase of development and potentially during puberty. Do you think that we should design studies that are more focused on this population even though I think that they will take a lot of time to produce significant results? Dr. Alexandra White: Yeah. I think that it is really important to consider how exposure during early life is related to breast cancer risk. We know that exposures during pregnancy or even as early as during puberty might be particularly relevant for breast cancer. And I think a lot of our studies have really been up against the challenge of the fact that exposure monitoring for air pollution really didn't start until the 1990s. And so, it's challenging, especially for these older cohorts, to get back at that time period that might be relevant. But I think that's something that definitely newer cohorts are going to be able to address, and I think it's going to be really important, and also will give us some clues to better understand the important windows of exposure, but also that might provide clues for the biologic pathways as well that are relevant. Dr. Davide Soldato: And just a related question, because I'm not aware of this, but are there right now cohorts that are specifically looking at this in the US or in other parts of the world? If you are aware of that, of course. Dr. Alexandra White: There have been some cohorts that have focused on exposure during these hypothesized windows of susceptibility, but I don't think they've been able to follow those women long enough to develop breast cancer. One of the things that we're working on in the sister study is trying to expand our assessment of air pollution exposure back in time to try to get at these earlier windows of exposure. So, I'm hoping that it's something we'll be able to comment on and at least for some of the women in our cohort who are younger. But I don't know, Dr. Wu, if you're familiar with any other populations that are doing this now? Dr. Anna Wu: Well, NCI funded several new cohorts in the last couple years that are really focused on trying to get a much more refined exposure assessment. So, I know colleagues at University of Michigan that are peers and also Dr. Wei Zheng at Vanderbilt, they are putting together newer cohorts that are younger and also trying to include a range of exposure, not just air pollution, but really environmental exposures. Those cohorts I think have the potential in the future to try to address some of these questions, but again, it will take at least another number of years before there are a sufficient number of endpoints so that they can actually do these types of studies. Another possibility is that there are a number of big cohort studies in Asia. The age of diagnosis tends to be earlier in Asia. I know that investigators in China are very interested and concerned with the air pollution effects in China. I think there are potentials that in other countries where the age of breast cancer diagnosis is actually younger than in the US and if they establish in a manner that allows them to assess air pollution that they may have opportunities. And I think the other way to try to address this question, whether there are studies where you can actually tap into either biomarkers or pathology samples so you won't be actually studying air pollution in a large population, but you're actually narrowing it down to try to see if you see any signals in a way that would give you some additional clues and insights as to the mechanism. So I think we're going to have to piece together various types of study to try to answer the questions because one type of study like these observational air pollution studies, will allow us to address one slice of the questions that we have and then we need to put together other studies so that we can address other aspects that we're interested in to put it together. Dr. Davide Soldato: Thank you very much both of you. That was very interesting. Coming back to the results of the manuscript, we really focused up until now on PM2.5. But it's true that inside of the study you evaluated different pollutants. So, I was wondering whether you saw a similar association for other pollutants that were included in the study or whether the association for higher risk was observed only for PM2.5. Dr. Anna Wu: The results for NO2, NOx, PM10, and carbon monoxide were actually very compatible with the risk estimates that other studies have published as well as from the meta-analysis. So, I would say that our results from the other pollutants are actually very consistent with other results. I think one difference is that our PM2.5 estimates were based on the satellite-based PM2.5 estimates, whereas all the other pollutants were based on monitoring station estimates from EPA sponsored air monitoring stations. So, they are not measured in the same way. And I think different studies over time have used either monitoring station type measures for other pollutants. And I think we were particularly interested in PM2.5 because the measurement of PM2.5 in the monitoring world didn't start until around 2000. So, studies up until that time were less able to actually provide the assessment of PM2.5 as good as we can for air pollution. There's always misclassification. So, I think it's a matter of how much misclassification in the assessment. But, again, we are really limited in really just having exposure over one part of adult life. Dr. Davide Soldato: Thank you very much. And one potentially related question. We are speaking in general about air pollution, but I think that since we are considering residential addresses, probably we are capturing more either traffic pollution or pollution that comes from probably industries or stuff like that, which is mostly related to residential areas or the place where people live. But I think that in the end we also think about air pollution as something that can come from different forms. And one very interesting point, Dr. White, that you made in your editorial is also that there is a global change also in the way we are faced with air pollution. For example, you made the example of wildfires in your editorial and how this might potentially change exposure to air pollution, maybe for limited times, but with concentrations that are fairly higher compared to what we generally observed. So, I was wondering if you could comment a little bit on that and also, if there is potentially a way to also consider this in future epidemiological studies. Dr. Alexandra White: Yeah, so when we talk about exposure to fine particulate matter, PM2.5, we're assessing exposure to particles that are based on the size of the particle, and we're really not evaluating the types of particles that people are experiencing exposure to. And we know that, in general, that PM2.5 composition really varies geographically due to differing sources of exposure. So, like you were saying, there might be a stronger contribution to industry or from agriculture or from traffic. And so that could really change the PM2.5 exposure profile that individuals experience. And so it could be that this is another really important area that this research needs to consider, which could really help us identify what sources of exposure are most relevant. Wildfires are a really important growing concern. We know that wildfires are increasing in both intensity and duration and frequency, and we really don't understand the long-term health impacts of wildfires. But we know that wildfire associated PM2.5 might be one of the most dominant contributors to PM2.5 moving forward. And although we've seen historic declines in PM2.5 in the US after the Clean Air Act, those declines have really stalled. PM2.5 itself is projected to increase over the next few decades, so understanding different PM2.5 composition profiles and the sources that drive them can really help us identify the most important targets for any potential interventions. And wildfire PM2.5 in particular may be of concern because it's a...
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JCO Article Insights: Adoption of Capivasertib in Metastatic Hormone Receptor–Positive, HER2-Negative Breast Cancer – Efficacy, Toxicity and Treatment Sequencing
12/30/2024
JCO Article Insights: Adoption of Capivasertib in Metastatic Hormone Receptor–Positive, HER2-Negative Breast Cancer – Efficacy, Toxicity and Treatment Sequencing
In this JCO Article Insights episode, Giselle de Souza Carvalho provides a summary on "" by Bhardwarj, et al and "" by Dilawari et al published in the Journal of Clinical Oncology. TRANSCRIPT Giselle Carvalho: Hello and welcome to episode for the December issue of the . I'm your host Giselle Carvalho, Medical Oncologist in Brazil focusing on breast cancer and melanoma skin cancers and one of the ASCO Editorial Fellows at JCO this year. Today, I will be discussing two articles. The first one is “,” and the second one is the “” As we know, 65% to 70% of all breast cancers are HR-positive HER2-negative and this is also the most common subtype of metastatic breast cancer. The current standard of care for frontline therapy of patients with luminal metastatic disease is a CDK4/6 inhibitor in combination with endocrine therapy. However, as new endocrine and targeted therapies gain approval, choosing the best systemic therapy upon disease progression after frontline therapy is a topic of ongoing debate. Nearly 40 to 50% of HR-positive breast cancers have actionable genomic alterations and molecular testing should be a routine recommendation for patients with metastatic HR-positive HER2-negative disease. This can be performed repeating tissue biopsy at the time of progression or from archival tissue. Treatment options after progression on CDK4/6 inhibitors include alpelisib in combination with fulvestrant in patients with PIK3CA mutant tumors as seen in the SOLAR-1 trial, or capivasertib with fulvestrant in patients with a tumor mutation in (PI3K)–AKT–PTEN pathway as seen in the CAPItello-291 study, which will be discussed further. In approximately 30% of patients, progression on frontline endocrine plus CDK4/6 inhibitor treatment is caused by endocrine resistance, frequently involving activating mutations in ESR1. For those tumors, elacestrant, an oral SERD is an option as demonstrated in the EMERALD trial. For patients with a BRCA mutation, PARP inhibitors represent another option. If no mutations are detected, everolimus, an mTOR inhibitor, can be used based on the BOLERO-2 results. The phase 2 MAINTAIN and PACE trials, along with the phase 3 postMONARCH trial support changing the endocrine therapy backbone with or without switching the CDK4/6 inhibitor. In less resourced areas, fulvestrant monotherapy is still an option to delay cytotoxic chemotherapy, though its efficacy is limited when used as a single agent. Finally, after progression on at least one line of chemotherapy, antibody drug conjugates including sacituzumab govitecan or trastuzumab deruxtecan may be an option. Now focusing on the PI3K AKT PTEN signaling pathway, activating mutations in PIK3CA and AKT1 and inactivating alterations in PTEN occur in approximately half of luminal breast cancers. In June 2023, the CAPItello-291 trial was published and treatment with fulvestrant plus capivasertib, a PTEN AKT inhibitor, demonstrated a 3.6 month PFS benefit compared to fulvestrant alone, regardless of the presence of AKT pathway alterations. However, for those with tumors without AKT pathway alteration, an exploratory analysis showed that although there was a numerical improvement in PFS, it did not meet statistical significance, indicating that the biomarker positive population primarily drove the positive results noted in the overall population. Therefore, capivasertib plus fulvestrant was approved by the US FDA in November 2023 exclusively for patients with PI3K/AKT1/PTEN tumor alterations after progression on an aromatized inhibitor with or without a CDK4/6 inhibitor. The approved schedule of capivasertib is slightly different from that of other agents used in breast cancer. It is 400 milligrams taken orally twice a day for four days per week every week in a 28-day cycle in combination with fulvestrant. Diarrhea, rash and hyperglycemia were the most commonly reported grade three or four adverse events in the interventional group. I would like to highlight that even though the CAPItello trial excluded patients with glycosylated hemoglobin levels higher than 8% or those diagnosed with diabetes who required insulin, hyperglycemia occurred in 19% of biomarker positive patients treated with capivasertib, with nearly 2% of this population experiencing grade 3 or 4 hyperglycemia and some patients experiencing life threatening outcomes such as diabetic ketoacidosis. By way of comparison, hyperglycemia of any grade was three times higher with alpelisib therapy in the SOLAR-1 trial, occurring in 64% of the patients and grade three or higher hyperglycemia was seen in 37% of the patients. Diarrhea was the most common treatment related adverse event experienced by 77% of the biomarker positive population. Prompt use of the antidiarrheal drugs when needed, such as loperamide must be encouraged as untreated diarrhea can lead to dehydration and renal injury. Cutaneous rash occurred in 56% of the biomarker positive population in the interventional group and 15% experienced a grade 3 or 4 rash. Nearly half of the patients with cutaneous adverse reactions required treatment and this was the leading reason for dose reduction of capivasertib. In the biomarker positive population, the improvement in medium PFS were 4.3 months by investigator assessment. Overall survival data from the CAPItello-291 trial is still immature, but quality of life data was recently published in September this year and was assessed by the 30 item QLQ C30 questionnaire and the QLQ BR23, the breast module. According to Oliveira et al, global health status and quality of life were maintained for a longer period with capivasertib fulvestrant than with placebo fulvestrant except for symptoms of diarrhea which were significantly worse in the capivasertib group. The median time of deterioration of global health status and quality of life was twice as long in the capivasertib group being almost 25 months versus 12 months in the placebo fulvestrant group. These data reinforced the use of capivasertib in combination with fulvestrant for the treatment of HR-positive HER2-negative advanced breast cancer patients with PIK3CA/AKT1/PTEN tumor alterations who have progressed after an aromatase inhibitor-based therapy with or without a CDK4/6 inhibitor. Thank you for listening to . This is Giselle Carvalho. Don't forget to give us a rating or review and be sure to subscribe so you never miss an episode. You can find all ASCO shows at . See you next time. The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity or therapy should not be construed as an ASCO endorsement.
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Overcoming Barriers to Make Patient-Partnered Research a Reality
12/12/2024
Overcoming Barriers to Make Patient-Partnered Research a Reality
Host Dr. Davide Soldato and guests Dr. Suzanne George and Liz Salmi discuss their JCO article TRANSCRIPT TO COME Dr. Davide Soldato: Hello and welcome to , the podcast where we sit down with authors from some of the latest articles published in the . I am your host, Dr. Davide Soldato, Medical Oncologist at Ospedale San Martino in Genoa, Italy. Today, we are joined by JCO authors Liz Salmi, Researcher and Patient Advocate, and by Dr. Suzanne George, who works as a Medical Oncologist at the Dana-Farber Cancer Institute where she acts as the Chief of the Division of Sarcoma. She is also Associate Professor of Medicine at Harvard Medical School. Today, we are going to discuss with Suzanne and with Liz the article titled, So thank you for speaking with us, Suzanne, Liz. Liz Salmi: Thanks for having us. Dr. Suzanne George: Yes, thanks. Dr. Davide Soldato: I just want to make a brief introduction because I think that the concept of patient partner research is very wide and I'm not sure that all of the readers of JCO really have a deep understanding because I imagine that there are a lot of ways we can involve patient and patient advocates in the research process. And so I was wondering if you could give us a little bit of an introduction about the concept. Dr. Suzanne George: Sure. I think the point that you raise is really important because there are many terms that are used, patient-partnered research, patient advocacy, but I don't think that there's a single definition as to what that actually means. In the context of our work, we’ve sort of summarized our experience through something called the PE-CGS or the Participant Engagement and Cancer Genome Sequencing network. And in that project, which is a Moonshot funded network, the intention is to have participants in research be true partners working with traditional academic research teams in order to develop networks specifically focused on cancer genomics. So what we've done, every center is a little bit different in the network, but we're really having research participants not just act, but really work on the research team from the beginning of the project inception all the way through the research project. Liz Salmi: What brings me to the PE-CGS network is my 17 years experience as a person living with a low grade glioma, brain tumor or brain cancer and involving patients in the co-design of research is super critical because patients bring unique lived experiences that can shape research questions, study designs and outcome measures in ways researchers might not anticipate. And we're finding this through our network. So through my work, including my patient experience and brain tumor focused study designs, I've seen firsthand that patient insights can drive more practical implementations that ultimately benefit both patients and the researchers. And so the particular project I work on in the network, we've got like five different arms and different groups of cancer types that are being represented, so I'm basically focusing on the OPTIMUM study around how brain tumor patients can help in this study design. So in this project I serve as not just a participant in the research, but also as a patient co-investigator. Dr. Davide Soldato: That is very interesting. And I think that we really captured the essence of patient-partnered research by having both of you here talking with us about the PE-CGS. And the second question that I wanted to ask is: I really think that the network focuses on something that is quite important right now and currently in medical oncology - so cancer genome sequencing, access to novel therapies - and I think that it's really challenging to imagine a way in which we can really get our patient and get patient advocates to help us designing new trials who are looking into this. And I just wanted to know, do you think that there is something that is particularly challenging when we are speaking specifically about cancer genomics and access to this type of drugs that are targeting specific molecular alteration? Because I think that in general it might be a little bit easier, maybe I'm biased on this, so you can also tell me if I'm wrong, but I think that it's a little bit easier when we are trying to design, for example, behavioral intervention or things that are more commonly found in oncology and a little bit more complicated when we are speaking about genomics. Dr. Suzanne George: So I think that's part of what this network is trying to address, which is really what are the barriers and the opportunities around cancer genomics from the patient perspective and how do we make sure that that perspective is included as we're thinking about study design and inclusion? As Liz mentioned, this network has five different networks within the network, five different centers, and each center is slightly different with the population that it engages with. And so there's diversity there in terms of reaching out to different patient communities and partner communities around potential barriers for genomics research. I think one of the things though that we're finding across the network is that people want to be part of this work. People that have a lived experience of cancer want to help move the field forward. And what we ended up writing about was some of the barriers that get in the way of that. It's awesome to have people like Liz that are like all in and then there's people who are on the other end of the spectrum that want to share their information to help move the field forward around genomics, but then there's all these barriers at the systems level that get in the way of that. So I think that that's one of the challenges we're trying to overcome and learn about across the network. Liz Salmi: Yeah, I think I bring this really interesting, I can't say I'm really interesting, but I think I bring this really niche perspective. Not only am I a person living with a brain tumor and I'm a co-investigator but also like a participant in this study. I also, in my day job, I'm an investigator as part of the director of communications and patient initiatives on the OpenNotes lab at Beth Israel Deaconess Medical Center. And our lab really focuses on how open, transparent communication between doctors and patients improves care. And that's been going on for longer than I've been around on our team. But what I bring to that lab is I focus on engaging both patients and clinicians in spreading the awareness about the power of how easy access and transparent communication, access to information across healthcare settings helps patients feel more involved and informed in their care. And I work specifically, it's a really niche area. I work on projects that aim to expand access to notes and test results in diverse care settings, really helping tailoring initiatives so that various patient communities can understand how they can be involved in these types of research projects. Ultimately that's what brought me into this space. I might be one of the first generation of patients that actually starts helping co-design studies on things like this. And I think that across a lot of healthcare settings cancer is really what we're focused on. But patients are now increasingly being involved as research collaborators. And there's many different funding institutions such as the NCI but also PCORI they now mandate that funders reflect a shift towards more patient centered research frameworks. So it's like the PE-CGS network isn't the only group that's being funded to do research in this way. And I think other investigators, even outside of the cancer space, but specifically in cancer, need to learn how to do research in this way. Dr. Suzanne George: Yeah, I agree. And I think the other thing that we need to do is if people want to participate and that participation in many of these networks has to do with record sharing and data sharing, the system needs to accommodate that. If people want to share their information in order to allow research to be performed, then we need to make sure that that can happen, and that it's not that the institution systems don't connect with someone else's systems or that you to pay X, Y and Z dollars for the data to go A, B and C, or that some places are on this EHR and some places are on that EHR and so, sure, you can share it, but you have to go through all of these hurdles in order to make it happen. When a patient signs a consent form that says, “I want my data to be used,” we as an investigator community, we owe it to that patient to make sure that their information is being part of the data set that will be used for learnings. And that's part of what we wrote about, is the lots of behind the scenes things that just get in the way and that we need to work towards improving. Liz Salmi: Both Suzanne and I are really passionate about this stuff. And as a person living with a brain tumor for the last 17 years, I'm a chronic research participant. I always, always, am really curious. I'm like, “Yes, let me contribute my data. Whether that's electronic health record data or maybe I'm being interviewed about certain aspects of the cancer care experience.” And the one thing that bummed me out for like the first 10 years of being this chronic research participant is I would enroll in things, I'd be interviewed for things, I'd fill out these surveys and then I never heard anything about what happened with that information and that time I spent. And people would send me like a $10 gift card to Amazon, like, “Thanks for participating,” but really what I wanted to know is like, did you do anything with that? How did that inform things? So that really annoyed me to the point where I was like, I'm just going to be part of the research process and really figure out how we share that information back to everybody who had spent so much time. And so my participation in this space is like, “Let's change it. Let's give people information back.” And now I know it takes a really long time to have a finding that could be published somewhere that we then get it back. But closing the loop on the communications gap is something I'm really passionate about. Dr. Davide Soldato: Do you think that we are changing a little bit this perspective? I feel like we are getting a little bit better in creating patient communities of patients who are included in specific clinical trials. And then we do the effort of creating a community, of keeping people really involved with the research that they are participating in. I think that we are not quite there yet, but I think that we are making some kind of steps in that direction. For example, trying also to inform patients to participate in the study when the publication that is related to that specific study comes out. What is the benefit? What have we discovered? I think that we are not quite there yet. There is a lot of room for improvement, particularly in the way I think we communicate these to patients who participated in research. But I have the impression that we are making some steps forward. So I don't know. Do you share the same thoughts? Liz Salmi: So Dr. George talked about the PE-CGS network and then there's five different cancer types being studied. So the thing I can reflect on is what we've done in the, this is a really long acronym but, Optimizing Molecular Characterization of Low Grade Glioma. Say that 10 times fast. So our particular group is people who donate tissues about their brain tumors. We're really collecting data from people with multiple brain surgeries over time, which is really complicated and to make that process easier. And then once those tissue samples are stored somewhere, studying that information about what changes in the brain tumors over time and then also giving those results back to people so they can take that research level data and bring it back to their neuro oncology team and say, “Hey. Here's what I found out, “and having a conversation. So, this is a long multi touch point study and in order to do that, to even make that possible is the individual patients need to understand what's in it for them. They're donating precious tissue in order to make the research process work. And so in order to do that, it's not just the investigators saying, “Hey. Give us your brain tissue, peace out.” It is we have a whole research advisory council of people living with these particular tumor types who help us co-design how do we do that outreach, how do we explain why this is important, or how do we message the importance of this work so they understand,“Oh, this is what's in it for me and this is what's in it for other people like me.” And from there then with that process, which again I mentioned, all of these multi-step processes, once we're able to understand how patients want to hear that information, what's in it for them, then we bring it back to like those bench scientists, investigators going, “Okay. And here's how this workflow should work for the patients,” and design everything around the patient experience before we even care about what's happening from the scientist researcher perspective. Dr. Suzanne George: I agree. I think to your point, I think the fact that we're all here today talking about this is just like you said, is that we are making progress, right? Like we're even here having this conversation. Just like you said, I think there's opportunities to improve and further refine the communication and the involvement back in the patient community. When I think- if I put on my clinical investigator hat, I'm very involved in PE-CGS, but my primary research interest historically has been clinical trials and drug development. And I think that our approach in communicating results back has just not been consistent. But I do think that there's opportunities, just like you said, to provide summaries of information to loop back. I don't think that we've completely solved: What do we do? How do we provide information back to loved ones of patients that may no longer be alive that participated? How do we provide information to people who maybe we don't have their contact information? What if we lose track of them? How do we also make sure that we give people the choice to know? Do you want to know about this or would you rather just participate and then give space to that research? Because maybe that's how people's best for them. So I think that you're right, we're making progress, but I think that there's also a lot more that we can do. So I'm glad we're talking about it. Dr. Davide Soldato: How much do you think that directly involving patients in this process, like asking them directly and co-designing the trial from the very beginning and understanding the level of information? This might also be another question inside of the question. So first, how much co-designing this type of research helps, and then do we also need to further refine at that level of communication, different communication depending on the level of information that different people want to have? Because I think that that's another level of complexity that we need to work towards at a certain point. We need to work on that first level of giving back the information. But then I think that there is also the other point of providing the information and information that should also be probably adapted to the cultural belief of different patients, to the ethnicity or to whatever cultural background or social background or whatever they may place their most interest in. Dr. Suzanne George: So I think that you're 100% right on all of those points. I think those are all topics that need to be considered. We may be able to get to a certain degree of granularity around those communication points, but on the other hand, we also want to be able to communicate broadly and accessibly as possible. One of the interesting things about PE-CGS, as Liz was mentioning, is each of the five centers has a slightly different focus. For example, one of the centers is focused on American Indians and Tribal Nations, and the communication practices coming out of that center are really unique and really very special and something that's been really, I think for me, very fascinating to hear about. Because to your point, like, just the strategy and what's considered appropriate is just different. I think if we hope to build a research world where our research participants and research data come from a broad swath of the population that really represents the population, the only way that we're going to be able to do that is find ways that bring meaning across the population as well. And that may be different based on where people are coming from and where people are at in their own journeys and in their own lives. But it's on us to be open to that and like to hear that, so we can do the right thing. Dr. Davide Soldato: And I think that this is one of the objectives of the PE-CGS, really trying to bring this type of research participation to really diverse and underrepresented populations, not only in terms of cultural background, but I also think about different types of tumors. Like Liz was referring about brain cancer or low grade glioma, which is a very niche population. And I also think about sarcomas, for example, the degree of variability that we have in that specific type of disease is such that we really need to probably find different ways to communicate also inside of this diversity in terms of single patient and experiences, but also in terms of single diseases. You were speaking a little bit before about the fact that the manuscript is really on the barriers that we would need to identify and then to change to make this system a reality. We were talking a little bit about consenting information and consenting the sharing of information, and I think that you make a very interesting point about the consent process when we are designing research. Could you give a little bit of your impressions about giving informed consent? What we need to change, how can we improve? Dr. Suzanne George: The bottom line is the consent process needs to be simple, clear, and transparent. And sometimes I feel, because the traditional way that we've always gone about consent is frequently consent is as it should be in many ways. These consent forms are developed from a regulatory framework. What are we required to do to consent and how do we meet those requirements? Sometimes that becomes directly at odds with how do we do this simply, clearly and transparently? And I think as a research community, we have to be able to find a common ground there. That has to include regulatory requirements, that has to include IRBs. When we think about consents and work with our patient communities on this, everybody agrees the consents need to be more simple, except the IRB or maybe the IRB agrees, but it's this tension between how do we make it simple, clear and transparent and not get so bogged down in the regulatory that we lose that intent. Liz Salmi: It's complicated. As a person, I mentioned, I'm a chronic research participant living with a brain tumor for 17 years. I remember enrolling in studies and seeing things that are just so complicated. I'm like, “Well, I'm just going to sign off.” I imagine somewhere somebody who knew more than me said, “I should just fill out this thing.” And then as I switched to the research world, I spent more time digging into, “Wow, this is a really complicated consent,” versus, “This is a really streamlined consent and I love this.” And throughout my work with Dr. George and others on the PE-CGS network, an example of a good consent that's easy for people to understand is what the NIH All Of Us research project did, where they're trying to get a million people, more than that, signed up to be in this longitudinal study. And their consent is to go to their...
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JCO Article Insights: Nivolumab + Relatlimab v Nivolumab + Ipilimumab in Melanoma
11/25/2024
JCO Article Insights: Nivolumab + Relatlimab v Nivolumab + Ipilimumab in Melanoma
In this episode, Rohit Singh provides a summary on "", by Long et al, published in the November issue of the . The article provides insights into the use of the two dual immune checkpoint inhibitor regimens in patients with untreated advanced melanoma. TRANSCRIPT Rohit Singh: Hello and welcome to . I'm your host Rohit Singh, Assistant Professor at the University of Vermont Cancer Center and today we'll be discussing the article “,” authored by Dr. Georgina Long from the Melanoma Institute of Australia and her colleagues. So as we know, nivolumab plus relatlimab and nivo plus ipi, I'm going to refer to as ipi-nivo moving forward, are dual immune checkpoint inhibitors regimens that are approved for treating patients with advanced melanoma based on the phase 2 and 3 RELATIVITY-047 and phase 3 CheckMate 067 trials respectively. Nivo plus relatlimab is the only dual PD-1 and LAG-3 inhibitor regimen approved for treating patients with advanced melanoma and relatlimab is the first in class human IgG4 LAG-3 blocking antibody. Ipi plus nivo is a dual PD-1 and CTLA-4 inhibitor regimen. So this paper basically is an indirect treatment comparison using a patient level database from these trials and this pretty much was conducted because of the absence of head to head trials looking at different regimens in advanced melanoma in first line setting. In this trial, the authors tried to compare these two trials. However, it's always hard to compare two different trials and we usually don't do cross trial comparisons. The problem is that the groups might be different to begin with. For example, one group might have younger patients, healthier patients, while the other might have older or sicker. These differences can make it hard to tell if the treatment caused improvement or if the groups were different to begin with. In this trial, researchers use inverse probability of treatment weighting to adjust the baseline differences between the two patient groups or between these two trials. Inverse probability of treatment weighting is a method used in research to help make a fair comparison between two groups when studying how a treatment intervention works. Basically, IPTW helps level the playing field between the two groups or like two trials for this paper. So, it calculates the likelihood of receiving a treatment. For each person, for each patient, researchers estimate the chance they would have gotten the treatment based on their characteristics like age, health, condition, their baseline staging, and based on that they create weights. People who are less likely to get the treatment but did are given more weight, and those who are very likely to get the treatment are given less weight. The same is done for the group that didn't get the treatment, and then they rebalance the groups. By applying these weights the group becomes more similar in their characteristics as if everyone had an equal chance of getting the treatment. This way, IPTW helps researchers focus on the effect of treatment itself and other differences between the groups. It's like adjusting the scales to make sure you are comparing apples to apples. The key outcomes the authors are looking at in this one was progression free survivals, overall survival, confirmed objective response rate, melanoma specific survival, and treatment related adverse events. Looking at the results of this cross comparison trial, first looking at the PFS or progression free survival, both regimens ipi plus nivo and nivo plus relatlimab, showed similar PFS. At 36 months, PFS was 36% in nivo-relatlimab versus 39% in the ipi-nivo regimen with a hazard ratio of 1.08 indicating no significant differences. Looking at the overall survival at 36 months, overall survival was 57% in both the treatment regimens with a hazard ratio of 0.14, again, indicating no significant differences. Now looking at another confirmed objective response rate, confirmed objective rates were similar between both treatment regimens after weighting, 48% versus 50% with an odds ratio of 0.91 suggesting comparable response rates between the two regimens. Looking at melanoma specific survival at 36 months it was 65% versus 62%. Both treatments had similar melanoma specific survival with a hazard ratio 0.86. An interesting thing in these results was subgroup analysis. Subgroups showed larger numerical differences in efficacy which favored ipi-nivo over nivo-relatlimab that included acral melanoma with a hazard ratio of 1.42 and OS with a hazard ratio of 1.72 in favor of ipi-nivo. Similarly for BRAF mutant melanoma, it showed a confirmed objective response rate with odds ratio 1.54 and same applied to mucosal melanoma with odds ratio of 1.59 and patients who have high LDH more than two times upper level limit. Looking at the safety and adverse side effects, nivolumab plus relatlimab had fewer grade 3 or 4 treatment related adverse effect which is 23% versus 61% and fewer any grade treatment related adverse events leading to discontinuation which was 17% versus 41%, which means 41% of the patients in the ipi-nivo arm lead to discontinuation. However, I would like to add to that that ipi-nivo was conducted much earlier and at that time we were still kind of assessing and trying to understand the immunity adverse effects, how to manage them, which probably could have made discontinuation more common compared to a nivo-relatlimab trial. By that time we definitely had much more experience dealing with immunity adverse effects.A couple of things mentionable in this, notable rates of hepatic and GI grade 3 or 4 treatment adverse events were lower in nivo plus relatlimab than with ipi-nivo, although the onset of any grade endocrine GI hepatic or skin related treatment related adverse events occurred most frequently in both treatment arms and in less than three months from randomization. So looking at all this data and looking at all this, it definitely seems like both the trials are very comparable in terms of efficacy, though nivo plus relatlimab seems to have a better safety profile. This trial does have some strengths. It does use the patient level data from two large well conducted trials allowing for a robust comparison and inverse weighting which would definitely better help balance baseline characteristics, enhancing the reliability of the results, and it does lead to comprehensive assessment of both efficacy and safety outcomes, and provides a holistic view of the treatments. Given all this, definitely the fact that it's a cross comparison trial which leads to a big limitation, as I already mentioned, like definitely two trials, it's hard to compare two trials which can have its own inherited biases. So it has some differences in trial design, conduct and follow up times. Small size subgroup analysis definitely limits the ability to draw definite conclusions from those groups. There's definitely some inherent uncertainty with direct head to head cross comparison trials. Looking at the future direction I would take from this trial, if we can have a direct head to head trial because both of the treatments are proven first line setting, it will be comparing these two regimen that can definitely provide more definite evidence and further research is needed to explore the efficacy of these regimens in specific subgroups. As I mentioned in this, some subgroups showed increased benefit in the ipi-nivo regimen, however, they were very small sample size so we need more research exploring those subgroups. One other part in both these trials, patients with active brain mets were excluded. However, there's a phase 2 trial looking at ipi-nivo in active brain mets patients. So I think assessing patients with active brain mets moving forward is also a crucial part looking at, because often, patients with advanced melanoma develop brain mets. It does lead to some unanswered questions like long term survival and quality of life. How do these regimens compare in terms of long term survival and quality of life? While the study provides data on PFS and OS, long term survival and quality of life metrics are essential for understanding the full impact of these treatments. Optimal sequencing strategies: what are the optimal sequence strategies for these patients who progress on one regimen? There is data suggesting that patients may respond to alternative regimens after progression, but more research is needed to establish the best treatment sequence. And real world performance: how do these treatments perform in real world settings outside of clinical trials? Real world data can provide insight into the effectiveness and safety of these regimens in a broader patient population. So, in summary, nivo plus relatlimab offers similar efficacy to nivolumab plus ipilimumab but a significantly improved safety profile, making it the potentially preferable option for patients with untreated advanced melanoma. However, results should be interpreted with caution due to limitations of cross trial analysis for certain subgroups like acral melanoma, mucosal melanoma, BRAF mutant melanoma, and patients with high LDH more than two times off upper normal limit. The trial showed that there's a trend definitely with ipi-nivo may be more beneficial. Also, today data on the use of nivolumab plus relatlimab in active brain mets has not been reported. Based on these existing data, ipi-nivo remains a standard immunotherapy for patients with active brain mets. Further research, including direct head to head trials is needed to confirm these findings and explore optimal treatment strategies. Thank you for tuning into today's episode. We hope this detailed summary of the study comparing Nivolumab Plus Relatlimab and Nivolumab Plus Ipilimumab in advanced melanoma has been informative. This is Rohit Singh. Thank you again for listening to JCO Article Insights. Don't forget to give us a rating or review and be sure to subscribe so you never miss an episode. You can find all ASCO shows at . The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity or therapy should not be construed as an ASCO endorsement.
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Quality of Treatment Selection
11/14/2024
Quality of Treatment Selection
Host Dr. Davide Soldato and Dr. Aaron Mitchell discuss the JCO article " TRANSCRIPT Dr. Davide Soldato: Hello and welcome to , the podcast where we sit down with authors from some of the latest articles published in the . I am your host, Dr. Davide Soldato, medical oncologist at Hospital San Martino in Genoa, Italy. Today, we are joined by JCO author Dr. Aaron Mitchell. Dr. Mitchell is a medical oncologist working at Memorial Sloan Kettering Cancer Center where he is also part of the Department of Epidemiology and Biostatistics. Dr. Mitchell specializes in treating genitourinary malignancy and has a research focus on improving how the healthcare system helps people with these and other cancers. So today, Dr. Mitchell will be discussing the article titled, “” Thank you for speaking with us, Dr. Mitchell. Dr. Aaron Mitchell: Well, thank you for inviting me. I'm very glad to be here. Dr. Davide Soldato: So I just wanted to introduce the topic by asking a couple of questions, very general, about the background of the article. So basically you reported the data using the SEER-Medicare to assist to assess the determinants of optimal systemic therapies delivery and selection. So, in particular, you focused on individuals that were diagnosed with cancer who were Medicare beneficiaries and in particular were part of the low income subsidy, which is also known as LIS. So I just wanted to ask you if you could briefly explain to our listeners how this program works, and what was the rationale of the study, and if there is any element of novelty in your study compared to what was done before the study was published. Dr. Aaron Mitchell: Yeah. So that's a lot to cover, but yeah, a lot of opportunity to introduce the low income subsidy program which is a very important part of the Medicare program for prescription drugs, but often one that flies under the radar a little bit in the policy discussion. So this subsidy was created synchronously back with the Medicare Part D Program, which was created in 2006. There was some anticipation that for some high cost drugs, not all patients would be able to afford them even with the Part D program insurance as it was being created. And so they created a pathway to give an additional subsidy to some patients who had low income, who were anticipated to being at need and needing that assistance to afford high cost drugs. As the number of high cost drugs has really risen since 2006, this program has played an important role in helping patients afford drugs, especially those who need very expensive cancer drugs. And what this program does is, once you meet the eligibility requirements, which require patients to have both quite a low income. So if you're single, that is at 135% of the federal poverty limit or below, and it also places some restrictions on assets. You also have to have low assets, so low income and low assets in order to qualify for the subsidy. But then once you do, the subsidy is really quite large. Patients who qualify for the LIS at the full subsidy level will pay about $10 per month per drug, even for specialty cancer drugs. So if you think about drugs such as those that we use to treat prostate cancer, my specialty, drugs like enzalutamide or XTANDI that run $15,000 to $20,000 per month, the out of pocket cost for a low income subsidy beneficiary is $10. So that is a huge discount. $10 isn't nothing, but even for someone with a low income, if they've got one or two cancer drugs that are at this rate, it's something that they can often afford. This program applies to Part D cancer drugs that are prescription drugs basically. By and large, these are oral pills that patients are taking on a daily basis at home. These are the drugs that the low income subsidy program applies to. So if a patient needs a drug like that to treat their cancer, then they are able to receive it at very low cost. And what you'll see is a patient- in the studies that have been done, when a patient has low income, low enough for them to be able to qualify for this program, they then have better access to these drugs. You see increased adherence rates, you see increased prescription fill rates. And then when someone, when their income is just high enough to no longer qualify for this program, and they go back to regular Medicare Part D coverage, that's when the problems arise. So it's like as your income moves up the scale, you actually get more problems affording your cancer drugs. So that's the state of the literature so far. And what we realize though, is that all these studies that have looked at the low income subsidy have really focused on just the Part D drugs themselves, the oral drugs. And that's certainly not all of cancer care. There is a growing number of oral drugs, but for many cancers, especially when you're talking about immunotherapy drugs or new systemic radioligand therapies, these are not Part D drugs, these are Part B drugs. And so even if you are low income and you're qualifying for this subsidy, it's not going to help you if you need a Part B drug. Yes, there are certainly a whole host of other programs and different avenues that we can get patients assistance, but some percentage of them, even though they're low income and high need, would not have assistance with a Part B drug. So now, in coming back, the long answer to your question, our rationale was, let's look at these Part D low income subsidy patients and let's see what their access looks like, not just to the oral drugs, but to cancer care writ large. And can we study where they're fitting into the system, not only when they need oral drugs, but when they need any kind of cancer care across the board? Dr. Davide Soldato: So basically, just to summarize, it was an extension of previous literature, but specifically evaluating whether novel regimens that use, for example intravenous drugs, they were covered at the same level and whether there were any inequities in access to cancer treatment under this specific program, which is the LIS. Dr. Aaron Mitchell: Yes, I'd say that's a fair summary. Dr. Davide Soldato: Okay. So more or less, you included 9,000 patients inside of the study and 25% of them were beneficiaries of the LIS program. And you specifically looked at factors that could be associated with not receiving therapies at all, and also whether the quality of care that these patients were receiving were any different compared to those who were not part of the LIS program. So I just wanted to see if you could guide us a little bit in the results, whether you see any kind of differences when we look at access to any type of systemic therapies and whether being a part of the LIS program modified access to the drugs. Dr. Aaron Mitchell: Let me take this opportunity also to highlight a feature of our study that differentiates us a little bit from previous work that's been done. And this is around the specific definition of quality that we use. I know quality is in the title of the manuscript, but I think it's important to emphasize exactly what we mean in this study when we say quality, and it's something very specific. So our measure of quality references back to the NCCN guidelines, which I don't think our audience needs much of an introduction to that. It's the most worldwide recognized standard of care guidelines for oncology practice. And we specifically looked not only at the NCCN guidelines, but at their evidence block scoring system. So what we did was we looked not only at one set of guidelines, but we looked at guidelines across time. We looked at guidelines across our full study period, which was, give or take, 2015-2018, depending on the cancer. And we looked at each point in time to see what was the treatment regimen that was recommended by the NCCN guidelines as being preferred. Some of them make that designation, some of them don't. If there was not a designation of preferred, then we turned to the evidence blocks. And the evidence blocks, we then apply several different measures to kind of rank treatments from those that get high scores for efficacy and safety to those that get low scores for efficacy, safety and the quality of evidence. So we basically come up with a kind of a rank list of the recommended treatments at each point in time. And then we look at the ones that are the highest, we say which are the most highly recommended treatments at any given point in time. That then becomes our definition of quality treatment. And I'm saying this with air quotes, we use the term “optimal treatment” in the study. Did they get that treatment? If there were ties, you could have gotten either of the two treatments that got the equally good score, did you get that treatment versus did you get anything else? So then getting back to our analysis, what we really did was kind of a two-stage study. First, we put all of our patients into our pool, into one big analytic model. And we looked to see what are the factors that predict or are associated with a patient either getting no systemic therapy or any systemic therapy. And then as a second question, we look at the patients who got some form of systemic therapy, and then we ask, again, what percentage of those got the optimal treatment or high quality treatment as opposed to one of the more lowly recommended treatment regimens? So that's how we asked it. We found that patients who were low income subsidy recipients, the low income ones, they were both less likely to receive any systemic therapy. And then even the ones that receive systemic therapy, the ones who made it in the door to see their doctor or their part of the system, they still were less likely to get the optimal treatment that was recommended for their cancer type at the time that they were diagnosed. Dr. Davide Soldato: So basically, even when you are a part of this subsidiary program, you still have a lower access to any type of treatment. And even if you get treatment, you kind of get the ones that were not the preferred according to the NCCN guidelines, or at least they were not scoring as well as those specific regimens. But I think that what our audience might be wondering about is that frequently there are also some other types of characteristics, for example, age or number of comorbidities, which can be associated with having a low socioeconomic status. So I was wondering whether in the analysis you kind of looked specifically also at patient factors, for example, income rather than age or comorbidities, and whether you found any significant association with those and whether it was something that you planned to do in your study. Dr. Aaron Mitchell: Yes. So we looked at many patient factors and those included age and they included the degree of comorbidity. And what we saw with respect to those characteristics was not too surprising. We saw that patients who were older were less likely to receive systemic therapy. We saw that patients who had more comorbidities were also less likely to get systemic therapy. And then across our different designations of treatments, we saw that those patients were also less likely to get the optimal treatment for their cancer. This result though, we would say it certainly needs more study in the future, but it's not immediately concerning. And that is because for patients who have more age, more comorbidity, those often correlate with frailty. And so it could be that these patients aren't getting optimally treated or it could be that their oncologists are just making clinically appropriate decisions about patient selection. We saw as we were doing this work that the treatment regimens that are often getting the highest recommendations from the NCCN, hence, it would become our definition of high quality optimal treatment, are often ones that are aggressive. They're often ones that are multi-drug combinations. They're often ones that it's not just your old antineoplastics, it's the antineoplastics plus an additional immunotherapy or plus a targeted drug. So it's the ones that are more aggressive by and large, and that might be in some cases more than a patient who is older, more frail, could be able to tolerate. And so the oncologist might be making inappropriate judgment to say I'm going to do something a little bit less aggressive here and make an appropriate trade off between anti cancer efficacy and safety. I think we've got kind of a bookmark there and we can look at those trends in the future. So we saw that kind of as expected, and then we turned and looked towards the low income subsidy. And our premise there is, well, your income shouldn't predict what you're getting clinically. In an ideal world, you'd be able to get the appropriate treatment for a patient, and not depend on whether their income is above or below 135% of the poverty limit. So that one seems more like on its face an immediate concern. Dr. Davide Soldato: Thank you very much for the explanation. I was just wondering, did you make some kind of selection when you were analyzing specific diseases or settings where you included just metastatic patients or you also included patients with early stage neoadjuvant treatments? Because I think that it is also very interesting from the perspective of the objectives that we have as oncologists when we are administering systemic treatments. Dr. Aaron Mitchell: Yeah, thank you for bringing that up. That was also one of the goals of our study was to be broad. And we wanted to look for factors, whether it be low income subsidy, whether it be age, socioeconomic background, etc., things that would be broad predictors of outcomes, and by which I mean care delivery outcomes across the board. So not just for, let's say, metastatic breast cancer, but also across any cancer that a patient might walk in the door with, what are the systemic predictors. And so when you mentioned before that our overall cohort is approximately 9,000 patients, that's 9,000 patients split over a variety of what we call clinical scenarios or clinical indications. And that includes multiple solid tumor as well as liquid tumor malignancies. It includes both patients who are initiating systemic therapy with palliative intent for metastatic disease. It also includes several groups of patients who are getting adjuvant therapy. So we want it to be as broad as possible. Our selection of those scenarios was really done with the goal of being as broad as possible and really bringing in everything that we could within the constraints of our data source. And that was really the only limitation that we applied in concept was tumor types that are common enough to have a meaningful sample of patients to analyze. So, one, are there enough patients? And then two, are you able to identify this specific group of patients within SEER-Medicare data? Because when the NCCN divides groups of patients by biomarkers that are not available in SEER-Medicare, we can't really say, “Oh, we're going to study this group of patients.” That would then be one that we have to leave on the side and not include. But everything else where one of those things didn't apply, we tried to include it as best we could. Dr. Davide Soldato: Thank you very much for the explanation. And among the scenarios that you included in the study, were there any striking differences in terms of access to treatment and access to quality treatment the way you define the study? Dr. Aaron Mitchell: Yes, there were differences between these different cancer types, these different cancer indications, but they're not differences that I want to over interpret or read too much into. Certainly, every cancer indication is going to be different, but when we start getting into the individual cancer types, the sample size does get smaller. And we've not done formal tests of comparison or heterogeneity among cancer types. So I don't want to say that the differences which we certainly do see, like numerically, there are differences in the proportion of patients who are getting optimal treatment versus no treatment. I don't want to say that it's because the low income subsidy status or patient age has a bigger impact, let's say for lung cancer than breast cancer. I want to say that is heterogeneity for potential future study when we are able to do a similar follow up analysis with say a larger sample size. I don't want to over interpret those differences at the moment. Dr. Davide Soldato: I was just wondering in case there was anything in particular that you wanted to highlight. But in the end, I think that we also have to acknowledge that the data are based on claims data, observational data. So maybe you're right when you say we should not over interpret this type of difference. And this is just to speculate a little bit, do you think that if you would look at this same specific question in a more contemporary diagnosis frame, like for example, you refer to the fact that most of the diagnoses were between 2016 and 2018. Now that we have more and more of these drugs that would qualify as Part B in the adjuvant or new adjuvant setting, do you think that you would see more differences compared to what you observed in the current study or do you think that it would be more or less the same? Of course this was not part of the analysis that you did, but it's just to have your opinion on the topic in general. Dr. Aaron Mitchell: My expectation would be that since not much has changed with respect to the low income subsidy program from the time period of our study until now, my baseline expectation would be that those results would hold. On the other hand, it is the case that there have been improvements to the standard Medicare Part D benefit since the time of our study. So the low income subsidy patients would be paying the same low out of pocket costs that I mentioned before, about $10 a month give or take, for a specialty cancer drug. But what has started to happen is that for everyone else, their coverage has improved. Because in the US we're in the process of closing, or I think now we finally finished, but you know, a few years lag in claims data, we've closed what used to be called the donut hole, where there was this big coverage gap where patients had to pay a large amount out of pocket for drugs. So there might therefore be a narrowing of the difference, let's say between our low income subsidy participants, the lowest income patients, and then everyone else. But not so much because the low income subsidy status improved or changed, but just because the baseline level of coverage for everyone else may have improved, narrowing that gap. So I'd say that would be very possible. And if your question is more geared towards not so much policy changes, but treatment landscape changes, I would say the big thing that I would maybe guess, and again, this is very much speculation, but you introduce the speculation in TBD on follow up. I think the big change in the landscape has been the broadening indication and uptake of immunotherapy drugs, our PD-1, PD-L1 inhibitors, for a variety of cancer types. And I think the way that that would manifest in our data, were we to repeat it in a more contemporary data set, would be, I think that the access for, let's say, that any systemic therapy among older patients might change. And that is because rather than just having your cytotoxics in hand, the clinical oncologists now know that for many cases there's if not first line therapy, then second line therapy for patients who don't qualify, you can go straight to it, to someone who's not a chemo candidate, you've got a much more tolerable treatment in your back pocket. And so I think that for patients who are more old or more comorbid, we might start to see that a greater proportion of them receive some systemic therapy, it just might not be the cytotoxic agent that is still most highly recommended. It might be, say...
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JCO Article Insights: HLA-Mismatched Unrelated Donor HCT With PTCy
10/28/2024
JCO Article Insights: HLA-Mismatched Unrelated Donor HCT With PTCy
In this JCO Article Insights episode, Alexandra Rojek provides a summary on by Schaffer et al published in the Journal of Clinical Oncology July 17th, 2024. TRANSCRIPT Alexandra Rojek: Hello and welcome to . I'm your host, Alexandra Rojek, and today we will be discussing an original report published in the October 1st issue of titled, “,” by Shaffer et al. The CIBMTR registry study set out to compare outcomes of patients undergoing allogeneic stem cell transplantation hematologic malignancies by HLA antigen matching status as well as by the type of GVHD prophylaxis regimen received either calcineurin inhibitor-based prophylaxis or post-transplant cyclophosphamide or PTCy. This study included patients reported to CIBMTR from January 2017 to June 2021 with AML, ALL or MDS, and required that they have undergone allotransplant with either a calcineurin inhibitor based so tacro or cyclosporine, GVHD prophylaxis, or PTCy, which included a calcineurin inhibitor or sirolimus with or without MMF and ATG. Matched unrelated donors were defined as an 8 out of 8 HLA match. And mismatched unrelated donors were defined as HLA mismatched at any single locus or 7 out of 8. The primary objective of the study aimed to compare overall survival or OS and GVHD and relapse-free survival (GRFS) within and between matched unrelated donors versus mismatched unrelated donors separated by calcineurin inhibitor versus PTCy based GVHD prophylaxis. GRFS was defined as survival without grade 3 to 4 acute GVHD, moderate to severe chronic GVHD requiring systemic therapy or relapse. 10,025 patients were included from 153 centers, with a median follow up of over 36 months. Mismatched unrelated donor recipients were made up of 22% minority ancestry patients as compared to just 8% of patients receiving a matched unrelated donor allo transplant, showing an enrichment for patients of minority ancestry in the mismatched unrelated donor group. Just under 10% of patients were of minority ancestry in the study overall, reflective of challenges in transplant care for these patients, which may include inferior access to care, fewer available and suitably matched donors, among other factors. 54% of all patients were transplanted for AML and 29% for MDS. 45% of patients received myeloablative conditioning, 25% received regimens containing ATG, and 23% overall received PTCy with either a calcineurin inhibitor or sirolimus as well as MMF. Among patients receiving PTCy, the authors did not find differences in overall survival by degree of HLA matching, whereas among patients receiving calcineurin inhibitor-based prophylaxis, there remained survival differences by HLA matching status. When comparing matched unrelated donor calcineurin inhibitor patients with PTCy matched unrelated donor patients, the PTCy arm had better OS, and the mismatched unrelated donor group who received PTCy had similar OS as well. For GRFS, matched unrelated donor and mismatched unrelated donor PTCy patients had no difference in GRFS, similar to the trend the authors see with overall survival. But these patients also had better GRFS than matched unrelated donor patients receiving calcineurin inhibitor-based prophylaxis. Within each prophylaxis arm, there was no difference in GRFS by HLA matching status. HLA mismatched patients receiving PTCy were less likely to experience GRFS than HLA mismatched patients receiving calcineurin inhibitor-based prophylaxis. The authors saw similar differences in comparative trends when subgrouping patients based on conditioning intensity and additionally did not find differences in GRFS and OS by ATG exposure. When looking at patients with minority ancestry, those patients who received a match unrelated donor or mismatched unrelated donor with PTCy had comparable outcomes to non-Hispanic white patients. Additionally, among minority ancestry patients, there was a significant benefit in both GRFS and OS in the PTCy groups as compared to calcineurin inhibitor-based prophylaxis. When examining other specific toxicities included in the composite GRFS endpoint, such as GVHD rates among PTCy patients, the authors note that patients receiving a matched unrelated donor had similar rates of grade 3 to 4 acute GVHD but lower rates of moderate to severe chronic GVHD requiring systemic therapy. There appears to be signal that among PTCy patients, HLA matching reduced rates of moderate to severe chronic GVHD compared to mismatched unrelated donor patients receiving PTCy. These same trends also held when the authors looked at non relapse mortality with no significant differences within the PTCy groups by HLA matching status but reduced non relapse mortality compared to both calcineur and inhibitor-based groups. However, notably, there was a greater risk of relapse among matched unrelated donor PTCy patients than matched unrelated donor calcineurin inhibitor patients, although this risk was comparable between mismatched unrelated donor patients by type of prophylaxis. The authors note that this has also been observed in other retrospective cohorts and may be confounded by differences in conditioning intensity between these cohorts of matched unrelated donor patients, affecting the risk of relapse. Finally, the authors also evaluate whether expansion of donor search criteria to mismatch donors from full HLA matching would increase availability of young donors from minority ancestry patients, and the study noted striking increases for all subgroups examined. This study fits nicely with the BMT CTN 1703 trial published in the recent past, which has showed the superiority of PTCy with the calcineurin inhibitor and MMF when compared with conventional calcineurin inhibitor based immune prophylaxis for reduced intensity matched related donor and matched unrelated donor allotransplant. Of note, very few patients with one HLA antigen mismatch were enrolled on that study. However, others have shown the feasibility of PTCy in the mismatched unrelated donor setting, which has led to its adoption in practice. Although less than a quarter of patients included in this current study received PTCy overall, the findings clearly are aligned with the BMT CTN 1703 study, which is likely to change clinical practice in the longer term in this field. As the accompanying editorial in , written by Dr. Chakravarty nicely lays out, the differences between this study and the EBMT registry study, also published in this issue of JCO are subtle but worthy of note. While both studies show that mismatched unrelated donor patients had worse OS and GRFS than those receiving matched unrelated donor transplants, and then among matched unrelated donor patients the addition of PTCy improved GRFS and OS, there is discordance between the studies whether the addition of PTCy abrogates the effect of HLA mismatching on GRFS and OS. As this editorial points out, there are strikingly different rates of T cell depletion with ATG between the US and Europe, which may account for differences in comparator arms that lead to this discordance. There are several very exciting clinical trials ongoing that will aim to answer some of these outstanding questions regarding comparisons of PTCy and T cell depletion, which the field eagerly looks forward to reviewing. In summary, this registry study of patients receiving allo transplant with matched unrelated donor or mismatched unrelated donor and calcineurin inhibitor or PTCy based GVHD prophylaxis, most notably shows that for patients who may not have a matched unrelated donor available, the addition of PTCy to a mismatched unrelated donor allo transplant allows for improved outcomes after transplant in toxicities and survival. This is most significant for patients of minority ancestries who usually have fewer matched unrelated donors available in registry searches. Improving the transplant options available to these groups of patients is of critical importance in improving equitable access to care for all of our patients. And this study, although retrospective in nature, provides an important understanding of our progress to date and suggests directions for future investigation may indeed be very feasible to continue to close these gaps in care for patients in need of an allo transplant for hematologic malignancies. This is Alexandra Rojek. Thank you for listening to . Don't forget to give us a rating or review, and be sure to subscribe so you never miss an episode. You can find all ASCO shows at The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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Adjuvant Pembrolizumab for High-Risk, dMMR Endometrial Cancer
10/16/2024
Adjuvant Pembrolizumab for High-Risk, dMMR Endometrial Cancer
Dr. Shannon Westin and her guest, Dr. Brian Slomovitz discuss the article “Pembrolizumab or Placebo Plus Adjuvant Chemotherapy With or Without Radiotherapy For Newly Diagnosed, High-Risk Endometrial Cancer: Results in Mismatch Repair-Deficient Tumors” recently published in the JCO and presented at the 2024 International Gynecologic Cancer Society. TRANSCRIPT The guest’s disclosures can be found in the transcript. Dr. Shannon Westin: Hello, and welcome to another episode of , the podcast where we get in depth on manuscripts and literature published in the . I'm your host, Shannon Westin, gynecologic oncologist and JCO Social Media Editor by trade. I am thrilled because we are going to be talking about gynecologic cancer today. So, this is my jam. And specifically, we're going to be talking about a manuscript that's a simultaneous publication in the Journal of Clinical Oncology and presented at the Annual Meeting of the on October 16, 2024. And this is “Pembrolizumab or Placebo, Plus Adjuvant Chemotherapy, With or Without Radiotherapy for Newly Diagnosed High Risk Endometrial Cancer: Results in Mismatch Repair Deficient Tumors.” This is affectionately the KEYNOTE-B21 trial, also known as the GOG-3053 trial and the ENGOT-en11 trial. And we are joined today by the primary author in this manuscript, Dr. Brian Slomovitz, who is the Director of Gynecologic Oncology at Mount Sinai Medical Center in Miami Beach, Florida, and the clinical trial advisor in uterine cancer for the Gynecologic Oncology Group foundation. Welcome, Brian. Dr. Brian Slomovitz: Hey, thanks, Shannon, so much. It's a pleasure to be here. And thanks for giving us the opportunity to discuss this trial. Dr. Shannon Westin: Yes, it's a great trial and I'm so excited to talk about it. And I think we'll start just because this is a broad group that listens to this podcast, they're not all GYN oncologists, experts like yourself, so can you just level set a little bit and speak a bit about the incidence and mortality of endometrial cancer overall and the recent trends in this disease? Dr. Brian Slomovitz: Yeah, sure. So, and it is nice to speak about gynecologic cancers, as we know, endometrial cancer was and still is the most common of all gynecologic cancers. The numbers are going up. Right now, there's about 65,000 to 70,000 cases each year in the US diagnosed with endometrial cancer. The numbers are going up. A lot of its obesity related, some other factors, but as the population gets less healthy, those are some of the risk factors for the disease. The thing that, however, is quite surprising is that we're seeing the deaths due to endometrial cancer going up as well, while for other diseases, we're making slow, steady steps to try to decrease the mortality we're actually seeing an increase in mortality. And the most discouraging point, Shannon, as you know is the number of deaths from endometrial cancer is going to outnumber the number of deaths from ovarian cancer if it hasn't done it already. I mean, now's the time. So, we really need to come up with better treatment strategies to everything to decrease the incidence of disease, to help with prevention, but for those poor women who are diagnosed, to come up with better treatment options so we don't have to keep this increasing trend in mortality. Dr. Shannon Westin: Absolutely. And I think some of that is related and we don't need to get on a soapbox here, but the amount of funding that goes towards research in endometrial cancer, and of course you, you have been leading the way and really trying to get a ton of trials in this space and getting our industry partners and our government partners to really support this. So really just commending you on how much you've worked on, on this area. And to that end, we've had a huge renaissance with immunotherapy and endometrial cancer, a lot of really big trials. Why don't you give the audience a rundown of where, so far, this seems to be best utilized for people with endometrial cancer? Dr. Brian Slomovitz: Thanks for that. And as you sort of alluded to, it's been a revolution, really, with immunotherapy. We started off at immunotherapy looking at microsatellite instability or the dMMR patients. What we found is similar to other disease sites in the second and third line setting that we saw good activity with the single agent checkpoints, pembrolizumab dostarlimab, that's based on the earlier KEYNOTE data and the GARNET trial. Really, a landmark study in the second line was Vicki Makker and her colleagues put pembrolizumab and lenvatinib combination for those patients with the cold tumors. Not the dMMRs or MSI Highs, but the proficient mismatch repair. And that study in a second line setting found that it was better than chemotherapy for an overall survival advantage. So right there, we know that it works in the second line setting in the dMMR population, and we got an indication in the PMR population saying that immunotherapy works in all women with endometrial cancer at some point, then we really had the groundbreaking trials. And Shannon, thank you. You are the leader on one of the four trials that happened, to DUO-E, AtTEnd, GY018 and RUBY trial, all very similar studies showing that the combination of immunotherapy with chemotherapy in the first line, metastatic or recurrent setting had a better outcome for patients than if given chemotherapy alone. That actually led to amazing things. We had three of those drugs have FDA approvals, pembrolizumab for all comers, dMMR and PMMR in the first line metastatic setting with chemotherapy; Dostarlimab, PMR, dMMR in the first line or metastatic with chemotherapy. And Shannon, in your study, I think we still have to learn a lot from your study. DUO-E, chemotherapy plus minus dostarlimab. And you also added a PARP inhib, and those patients with a PARP did better. So I'm really looking forward to your data, to the subgroup analysis to figure out which of those patients, depending on the biomarker, do better with PARP therapy. And right now, you have a dMMR FDA indication. But who knows? The future is really exciting to see- to be splitters, not lumpers. And I really want to see how that data pans out. And so that's how it came into the first and second line setting and that led us really to come up with the idea for this trial to put it into the adjuvant setting. Dr. Shannon Westin: Right. And so, I think this would be really important because we're so ingrained in this. We see this on the day to day. Can you kind of tease out a little bit what's different about those patients that would be treated in that advanced recurrent setting versus the patients that would be potentially treated in this B21 study? Dr. Brian Slomovitz: Yeah, so the first step, we demonstrated the efficacy in patients that really the treatment options were an unmet need. In the second line setting, we didn't have good treatment options. Those are the patients with measurable disease, with symptomatic disease giving immunotherapy. And not only did we see the efficacy, which was better, but we also were able to give it with limiting the side effects as seen with chemotherapy, which is nice. And then we know that the first line therapy, traditionally for endometrial cancer with carboplatin paclitaxel, response rates about 50%, progression free survival about a year, really something that we needed to improve upon. So, adding immunotherapy to the platinum backbone therapy really demonstrated an advantage. But now what we want to do is we want to see if we could prevent, in the high-risk patients, those without disease, what can we do to help prevent the disease from recurring and help patients live longer without really the need for really lifesaving types of treatments? We want to prevent it from recurring. Dr. Shannon Westin: Yeah, I think that's essential. We know that if we can sit on that prevention side and kind of invest all the time and effort that we need to upfront, that really does yield the longer survival. So why don't you just walk through the overall design of this trial, please? Dr. Brian Slomovitz: Yeah. So, this was an all-comers trial, meaning in individuals that had high risk endometrial cancer, high risk for recurrence, that included, in endometrial cancer, we have aggressive histologic subtypes, serous histologies, clear cell histologies, any stage, as long as there was some myometrial invasion. We also, for the first time, included patients looking at the molecular subclassifications. So, if there was a P53 mutation and they were stage 1 with myometrial invasion, they were included. And then in all comers, any patients with stage 3 or up to 4a disease, as long as the surgery was for a curative intent, and they had no residual disease after surgery, then they were allowed to enroll into this trial. One of the things is that this is the first time we've done an adjuvant trial this large. I think one of the reasons that helped us succeed in doing a trial like this is that we left radiation as investigator’s choice, because a lot of times going into a trial like this, people feel strongly, we know our radiation oncology colleagues, rightfully so, feel that radiation could help prevent disease from coming back. And we also have the camp that says they don't need radiation. We took that question out of this study. We let investigators decide whether or not they're going to get radiation. It was for patients to get chemotherapy, who are going to normally get chemotherapy for their high-risk disease and randomize them to chemotherapy plus placebo or chemotherapy plus pembrolizumab, a PD-1 inhibitor, in order to see if we could prevent the disease from coming back. Dr. Shannon Westin: And the primary results of this study were just presented at ESMO and published in the Annals of Oncology. Can you give us just a quick overview of what that was, what they found? Dr. Brian Slomovitz: Yep. So, we enrolled 1100 patients. The primary objective of the study was to look at the ITT population, progression free survival and overall survival. And the overall study was negative. Okay, so the hazard ratio in the ITT population was 1.02, not demonstrating a benefit of adding pembrolizumab in this population. I would say disappointing, but at the same point, something that we could really learn a lot from and somewhere that we know that in the whole population, we need to come up with better strategies to help prevent recurrence of disease, better adjuvant treatment strategies. But there's also information that we learned from this trial and that we're reporting on that we're actually super excited about and we feel may be game changing. Dr. Shannon Westin: Yeah. So, let's go to that. This is the good news. Your manuscript in the JCO, thank goodness you published it here, was focused on that subset of mismatch repair deficient. So, tell us what you found. Dr. Brian Slomovitz: So, in this study, we found that the first stratification factor was dMMR versus pMMR. Now, in the pMMR group, those patients had further stratification factors, but dMMR by itself was a stratification factor. Amongst those patients that had dMMR tumors, we found the hazard ratio to be 0.31 benefiting those patients who received pembrolizumab in the adjuvant setting. Really something that when we look at the treatment studies, the GY018s, the RUBYs, the atTEnds, the DUO-Es, in a dMMR setting, we see a similar hazard ratio of 0.3, 0.4. But to get that hazard ratio, which was statistically significant, obviously, is something that we were quite pleased with and something that we felt was worthy of reporting further. I will say it was a pre-specified endpoint. We didn't allocate alpha to it. So, at the beginning, it was a pre-specified endpoint, but at the same time even though we didn't specify alpha towards that outcome, it still, we feel is clinically meaningful and can definitely add to affect the standard of care and the management of these patients. Dr. Shannon Westin: Yeah. I'm very intrigued to see what kind of people do with this. It makes sense, mechanistically, it makes sense if there was a population that was going to benefit, if not everybody does, this is the group that will. I mean, do you feel like there's enough data? What are you going to do? FDA approval aside, obviously, those kinds of things. But how do you feel about this? Is this something you're going to offer to your patients? Dr. Brian Slomovitz: The first answer is yes. I think it's something that I would like to offer my patients. As you know, we need one of two things: we either need an FDA approval or for a lot of our payers required to be in the NCCN listings. I don't serve on the committee. I have no influence on NCCN. I'm excited to see how they'll respond to not only the Annals article, but obviously in today's release of the JCO article, I hope that they'll look upon it favorably. It's a drug that we’re used to giving. Pembrolizumab, we have a lot of experience with it. It's interesting. We didn't see any new safety signals, Shannon. Dr. Shannon Westin: Yeah, I was going to ask - that’s great. Dr. Brian Slomovitz: There was nothing, nothing additional that we found in this trial. So, I feel that it can definitely improve the outcome of those patients, in my view, with high risk for recurrence, treating pembrolizumab in this setting. Dr. Shannon Westin: Yeah, I think it's important, of course, to look at the safety. What about quality of life? Any new findings there? Dr. Brian Slomovitz: Yeah, we did that quality of life as part of the phase 3 trial. No difference between the two arms. No difference between the two arms. When we looked at a couple of the other analyses, we found that the benefit is the same on stage 3, 4 tumors. We saw that the benefit was there as well. So, there were less patients in the stage 1, 2 group. But I think really, for all comers, for the patient population, I would definitely consider giving pembrolizumab, again, for those patients with a deficient mismatch repair. Dr. Shannon Westin: It's really exciting, and I think you mentioned some of the statistical limitations. Anything else that gives you pause about the study or things you wish you did better? I know we always like to armchair quarterback ourselves after we do these kinds of studies. Dr. Brian Slomovitz: Yeah, it's interesting. When we designed the study years ago, we used the best information we had at that time to come up with the study design, and we're happy with it, and we really don't think that we could have done it much better. I should say, this was a great partnership that we had here between the GOG, ENGOT and with sponsor Merck, Toon Van Gorp was the lead PI of the global trial. When he gave me the good opportunity to present it at the IGCS and to be the lead author on this, it was really a great partnership. And when we came up with a trial years ago, it was the best trial that we thought at that time. And based on the information now, I think it's really something that we're excited about these results, even though the overall trial was negative. Dr. Shannon Westin: Yeah, I agree with you. I think it's interesting, it's informative to think about, “Well, what would we do now or then if we knew what we knew now?” But still, you design the trial the best way you can. I think the results are super intriguing. I'm hopeful at the way they'll be reviewed. I agree I don't have any inside information about the NCCN committee, but I do hope that they'll consider the overarching data to support immunotherapy and mismatch repair deficiency and the findings of this study. And then I guess the last question I would just ask, as you're an expert here, what are you looking forward to seeing coming next in this space? What's the stuff you're intrigued about in endometrial cancer? Dr. Brian Slomovitz: I think, Shannon, you and I have talked about this for a while. I think we're getting really close to eliminating chemotherapy for some of the patients who suffer from this disease. So, I'm not sure if we'll do a follow up to this trial, but I think a logical type of follow up would be to see: what if we just took away chemotherapy altogether and we did pembro in the adjuvant setting, pembrolizumab versus chemotherapy? We don't have that trial in the adjuvant setting, but actually, we completed accrual of that trial in the recurrent setting and we’re anxiously awaiting those results. That's KEYNOTE-C93, where in the dMMR population we studied pembrolizumab versus carboplatin paclitaxel. How those results may translate into this setting, I'm not sure. Right now, it's exciting what we have, but yeah. And I think future is bright for this. Just to highlight, in the two arms, there's 140 patients approximately in each arm; there were 25 recurrences in those patients who received placebo. Only eight recurrences in those that received pembrolizumab. Really, when we talk about numbers, it's really remarkable and it shows you the benefit it really had on the patients. Dr. Shannon Westin: Well, this was great. It flew by, as it always does when I'm having conversations with you. I just really want to thank you again for taking the time to share your knowledge with our listeners. Dr. Brian Slomovitz: Thanks, Shannon. Dr. Shannon Westin: And listeners. Thank you all for taking the time to hear about endometrial cancer. Again, this was “Pembrolizumab or Placebo, Plus Adjuvant Chemotherapy, With or Without Radiotherapy for Newly Diagnosed High Risk Endometrial Cancer Results in Mismatch Repair Deficient Tumors.” And this was the If you loved what you heard, please check out wherever you get your podcast to see what else . Have an awesome day. The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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Combining Response and Toxicity Data to Implement Project Optimus
09/30/2024
Combining Response and Toxicity Data to Implement Project Optimus
In this JCO Article Insights episode, Subodh Selukar interviews author Dr. Robert Maki on "" by Maki, et al published in the Journal of Clinical Oncology September 11, 2024. TRANSCRIPT Subodh Selukar: Welcome to this episode of . This is Subodh Selukar, JCO's editorial fellow. Today, I am interviewing Dr. Robert Maki on his recent editorial, “.” At the time of this recording, our guest has disclosures that are available in the manuscript and will be linked in the transcript. Dr. Maki, welcome to our podcast. Dr. Robert Maki: Hi, Subodh. It's a pleasure to be able to take part. Subodh Selukar: Yeah, thank you. So, to start us off, would you give an overview of your article? Dr. Robert Maki: Yes. Well, it's not my article, but it's just an editorial which is a commentary on an article by authors Cheng and Associates. It's called, “Exposure-Response-Based Multiattribute Clinical Utility Score Framework to Facilitate Optimal Dose Selection for Oncology Drugs.” That's a very technical title and so forth, and yet it's a JCO article because we think that it makes an important point that in oncological trials, we talk a lot about primary endpoints, oftentimes of overall survival or progression free survival, sometimes even just response rates, but most of the time, we don't take into account the toxicity of an agent. So, you can imagine that if a drug is relatively nontoxic, then what you see is what you get. Progression free survival could be associated with what is called some sort of so-called clinical benefit. However, if a drug is really toxic and you're just laid up on the couch all day or bed bound, or need transfusions three days a week, where is that really beneficial for the patient? But, by the same token, there's no quality of life without life itself. You have to have some sort of evidence that someone is going to be around for a longer period of time as an indication of benefit. So, these are ideas that have been played out to some degree for the better part of a quarter of a century. There's a biostatistician at MD Anderson named Peter Thall, who's one of the first people to think about this idea of combining toxicity data and response data as some sort of a combination primary endpoint for a trial. And where this comes into play for Project Optimus, this FDA initiative to come up with not just necessarily one dose or one dose and schedule, but rather a range or multiple doses and schedules for a drug based on the toxicity that's seen, is that this new paper by Dr. Cheng and colleagues provides one mechanism for doing this, for combining not just traditional clinical outcomes data, but also toxicity data. Subodh Selukar: So, you mentioned Project Optimus is an important component of all of this. So, can you tell a little bit about what Project Optimus is and maybe a little bit potentially about how Project Optimus has affected you so far? Dr. Robert Maki: I'd say it's having an effect mostly in the earlier phases of drug development. I'm not certain, but I think it was an outgrowth of some of the toxicity that was seen in some of the studies that were done over the course of the last 10 to 15 years with kinase-targeted drugs. The overall goal from the FDA Project Optimus was to work with companies, with academia, groups like ASCO and regulatory authorities, as well as patients to try and come up with dosing for everyone basically based on patient characteristics that they're focusing not just on those outcomes, such as progression, pre survival, overall survival, but also looking for quality of life and adding that into the mix in terms of how you choose a dose. So that's an effort that's been going on for the last several years now. There's been some nice articles on that from FDA on that and perhaps we could provide some links to those as well for people who are interested in some of the more introductory core information about Project Optimus. Subodh Selukar: Yeah, for sure. And so, I mean you're on the editorial board at JCO and you've written this editorial, but has Project Optimus affected your clinical research yet? Dr. Robert Maki: It's just beginning to. So, in phase 1 and 2 clinical trials, especially in phase 1, the goal is not necessarily to look for activity, but just to come up with a recommended phase 2 dose and schedule of a drug. Well, Project Optimus says, “Okay. Well, maybe there's more than one dose and schedule that should arise.” And as I was alluding to earlier, this may have arisen out of what was seen previously where a number of the multi targeted tyrosine kinase inhibitors were developed. But when you got to the phase 3 trial, it was necessary to have dose reductions in 30%, 40%, 50%, 60%, even 70% of patients in some situations. So that to me represents a drug or a development pathway for that drug that was in essence incorrect. Yes, we talk about in traditional chemotherapy of trying to get the maximum dose we can, but is that always the best thing for the patient? And we recognize that there really is a plateau usually for systemic therapies we give, that there is a limit to dose escalation even within an individual patient to try and achieve that same benefit. At some point you're just going to add toxicity. The idea is to bring some element of toxicity into the decision making for a recommended phase 2 dose and schedule or schedules in that case. Subodh Selukar: And so, building on that, so I think one advantage of these different approaches is that they might identify a single optimal dose, or maybe they'll recommend this range of doses that maximize some maybe clinical utility score combining these different aspects. In the current paradigm, it seems like probably response and toxicity are just these separate concepts that aren't typically linked together. But we typically do have a single recommended dose. But like you said, they might in subsequent trials have a lot of dose reductions and stuff like that. So how do you think about the process now where this is a single recommended dose of, but there are deviations from that recommended dose in the research process. Like you said, in subsequent trials or within a trial, maybe patients are needing their own dose reductions as well. And then separately once a product is approved, what do you think about deviating from the recommended dose for your standard clinical practice? Dr. Robert Maki: Oftentimes a work in progress. So even after phase 1, maybe having only treated 30 to 50 patients, they may be relatively homogeneous and that they have to be healthier to qualify for phase 1 trial. Once the drug is released to the whole wide world, then it becomes a different scenario, and you may have patients with poor performance status to start with. Can they still get the same benefit as the patients who got the medication in the context of a clinical trial? And it may not be the case. And I think this is where Project Optimus and the idea of giving more than one dose or schedule may be useful and say, “Okay. Well, you can give 20% less,” and what's the trade off? Maybe the drug doesn't work as well, but it is less toxic. On average, do you really lose a whole lot as a matter of a few weeks of median progression free survival? Or does the response rate really drop off as you decrease the dose intensity of your drug? One concern about having more than one dose and schedule is could you potentially be underdosing patients by the same token? Since we usually have some amount of time, at least a few weeks, to work out what's tolerable for our patient, at least the parameters of having more than one dose and schedule to choose from can be useful. Subodh Selukar: So then thinking about potentially maybe we would have a range of doses to recommend, what do you think are going to be challenges once that starts to be incorporated into clinical practice? What kind of complications do you think might happen explaining this to a patient? Dr. Robert Maki: That's a really, really good question and something that we- I think, just have a difficult time with just the regular consent form. It used to be that maybe you had a couple of information sheets on a standard drug, or if it's a clinical trial, then you'll have a relatively modest consent form that's supposed to be at, whatever, 7th, 8th, 9th grade reading level. But now you start adding this form with complex text to a consent form for a clinical trial. What are people really signing up for? They get a 40-page document, and I don't think they really understand that. So, the idea that you're trying to relate to them, pushing as hard as you can, but by the same token watching out for that toxicity, I think really does speak to those endpoints of the program, that it really can be a patient-friendly idea. Are we going to necessarily get it right every time? No. As I was mentioning previously there, if you're only treating 30 to 50 patients, you may only have partial information and you come up with some sense of dose and schedule to give. And then you move that into phase 2 and phase 3, and you may have to, you see that maybe one dose and schedule is a lot more effective as you get into a randomized portion of a phase 2 trial before you move to phase 3, for example, or you see that the toxicity is much greater with no better evidence of progression free survival. So those two scenarios could certainly rise. You can't predict them in the early phases of development of a drug, but you have to be able to react or be able to react with a solid clinical trial design that allows you to have that flexibility to make those decisions later. This is where discussion with the regulators, obviously is very important to make sure that what you're doing really still fits these guardrails, as it were, of traditional clinical trial design, or these ideas of adding in the toxicity-based information from Project Optimus. Subodh Selukar: One of the challenges in early phase trials is, like you said, we might have 30 to 50 patients at the end of the study. I think in the editorial, you mentioned that some of these newer metrics might require more and more patients. Maybe we need 30 to 50 patients on a single dose in order to have reliable understanding of these clinical utility scores. Whereas right now a sample size at a single dose might be six patients, it might even be fewer. What are your thoughts on that aspect of it? Dr. Robert Maki: That’s an important point, too. When you're doing, let's say, a quick and dirty, as you might say, 3+3 design, which has very large error bars in terms of the confidence intervals around a dose and schedule compared to some of the newer Bayesian-based designs, yes, you can get a phase 1 trial quote done, especially if it's a ‘me too’ sort of drug, so say, another checkpoint inhibitor, you kind of know the characteristics of those over another inhibitor of a specific kinase, you know the toxicities to expect when you block, let's say, EGF receptor. So, if you have some idea, and therefore you're able to more rapidly get to that recommended phase 2 dose from a phase 1 trial, if it ends up being a new drug, then maybe 30 to 50 patients isn't enough. And you really do need to continue that assessment of both response and toxicity as the trials move forward into phase 2 and phase 3. So, it's kind of one of those ideas of continuous process improvement that if we are going to do this, we really do need to include it, not just in early phase trials, but especially for agents that are acting through a new mechanism of action, that we look at that holistically across the drug development spectrum. And now that trials are kind of being smashed together, phase 1 and 2, now phase 2 and 3, that really increases our need to also add in the assessment of toxicity, and maybe not just on the basis of our own evaluations or lab evaluations of toxicity, but patient reported outcomes, which is something that wasn't addressed in the Cheng article and really hasn't been well addressed in clinical trials in general, I would offer. There are precious few trials that incorporate patient reported outcome data as a means to determine what's too toxic for a patient, for example. So how do we do that? As you know, we do have patient reported CTCAE clinical toxicity criteria that are based on patient reported outcomes. And wouldn't it be interesting, at the very least, as an academic project, but even more importantly, later on, to use those as the key means to determine whether a dose is too toxic or not in the development of the drug. That, to me, would be really, really interesting and kind of turns the idea of some of the data that we collect on its head. I guess, yes, we do need to collect things like liver function tests and so forth. It is one metric of toxicity of a drug. But patients have a lot of fatigue, we really do a poor job of documenting that as clinicians, and not to mention the elements that go into what that fatigue is. To be able to capture that through PROs would be another noble effort that I think has been underutilized and underappreciated in oncology clinical trials overall. Subodh Selukar: And so, what do you think are barriers to doing it now? Dr. Robert Maki: We tend to, for lack of a better term, cut and paste from what we've done before, to develop new, let's say, by patient reported outcome score or metric or worksheet for a given diagnosis. That can be hard, that takes a lot in and of itself, and perhaps has been one of the barriers that we don't have enough disease specific PROs, at least for some diagnoses. For others we do. And the fact that we do have PRO-scored CTCAE sorts of score tables, now, certainly makes it easier to validate and use these tools in clinical trials. So, I would love to see more of that, even if it ends up being secondary tertiary endpoints on phase 1, 2, and 3 trials. It's a pretty easy thing to add, even if you're doing that for the first time. Get some experience with it, and it can only help patients get through a trial or even just assessing it as part of a standard of care that will help our patients in the longer run. Subodh Selukar: Yeah. And so, thinking about other metrics of success, you mentioned a couple in your article. These aren't necessarily patient reported outcome ones, but like RECIST and RANO. I was curious. I think the Cheng article, maybe I would think about it as a general framework for combining response and toxicity together, whereas some of these other metrics are a lot more disease specific, potentially, or agent and disease specific, maybe even. Do you think that clinical research will end up settling on these metrics that are kind of increasingly specific, or do you think that there's a possibility for general frameworks? Dr. Robert Maki: Yeah, that's a tough question. I'm just trying to think of some of those patients reported outcomes. They've got kind of the general assessment ones, and then you do have ones that are more disease specific, just like we do have response criteria that are different for, let's say, lymphoma versus brain tumors versus colorectal cancer. We do have different ways of measuring those outcomes, and we all complain that those are imperfect measures. You can always find circumstances where that patient was responding, but it was called progression or vice versa. So even from these more objective tools like RECIST and the like, it’s a challenging field, that's for sure. We keep going around and trying to find ways of improving those sorts of systems. But let's say, for example, you used - this is part of the reason we moved from two dimensional measurements in WHO criteria versus one dimensional RECIST - if you have two dimensions, well, you have that much more variability in the measurements of the lesion. So, it turned out that we just didn't gain anything by having those bidimensional measurements. Now, since we have the ability to measure tumors better in three dimensions, should we be using volumetric assessments? Part of it depends on the size of the tumor. If you're dealing with a tumor that's 1 cm versus 8 cm, well, then the volumetric changes, you have a lot more variability, the small ones, than the big ones. Not to mention the fact that you have shapes that are not just an ovoid mass in a lot of cancers. There's just so many pitfalls in these sorts of data. What really matters at the end of the day, one thing that's underappreciated, and again is underscored by Project Optimus, is getting back to the patient. Subodh Selukar: Your editorial made me have this one thought, and so bear with me, it's like a multi-part question. One of the reasons that we're becoming more and more interested in these alternative approaches, these clinical utility scores and everything, is that these new agents are being proposed, where there's a hypothesis that there's more complicated relationships between dose, response and toxicity. And so, 50 years ago, researchers probably didn't hypothesize that these complicated relationships were happening. They probably thought that they were more straightforward. What do you think would have happened if we had had these conversations that we're having today if we'd had them 50 years ago, what do you think would be different? Do you think that maybe we would have different therapies that kind of ended up becoming standard today? Maybe would we interpret or run studies differently today? Dr. Robert Maki: I like that question as well. Now, if we go back to the Charles Moertel studies back from the 1970s, the whole reason that we have tumor measurements as a criterion are really based on his work, where he got a series of clinicians together and he put these masses underneath a piece of rubber sheeting, and they tried to determine how well they could determine the difference between a mass that they could palpate. And this is when we came up with the idea that a partial response was a 50% decrease in the cross-sectional area of a mass. That came from that very crude but important work from about 50 years ago. And of course, that was also a time when there really wasn't any imaging. Maybe the best you would have would be x-ray tomography to look at a lung nodule or something like that. It was a little bit of a different era. We didn't know how our drugs worked very well. We had at least some biochemical reason to use chemotherapy, and we tried to leverage that. But it was always the idea of more is better, finally disproved later on, in let's say the era of breast cancer, looking at the AC combination or doxorubicin as part of a treatment for breast cancer, that there was a ceiling to the benefit of doxorubicin in the adjuvant setting. Even then, it was clear that we needed to think about dose and schedule. We also didn't have the variety of drugs that we have now, or the different metrics that we have, circulating tumor DNA or something along those lines. Those sorts of things just never existed then either. So, we need metrics that are appropriate for their time, and we have more tools to work with. I suspect that we'll have more specialization in oncology along disease lines, or even molecularly characterized subsets of diagnoses as well. All the detailed classification that we now need for a lymphoma, for example, or different flavors of triple negative breast cancer, all of those things are impacting how we even put a person on a trial. Similarly, since these patients are also going to get different classes of drugs that are relatively unique to them, there are a lot of drugs now that are available that really are only approved for one diagnosis. Then you really have to drill down pretty deeply in order to be able to focus on that clinical scenario. But I think we have the means to do so. Nonetheless, the general idea of these frameworks, again, the idea of combining response and toxicity data that can apply across...
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CBT-I for Cancer-Related Cognitive Impairment
09/12/2024
CBT-I for Cancer-Related Cognitive Impairment
Host Dr. Davide Soldato and Dr. Shelia Garland discuss the JCO article "." TRANSCRIPT The guest on this podcast episode has no disclosures to declare. Dr. Davide Soldato: Hello and welcome to , the podcast where we sit down with authors from some of the latest articles published in the . I am your host, Dr. Davide Soldato. I am a Medical Oncologist at Ospedale San Martino in Genoa, Italy. Today we are joined by author . She's a Professor of Psychology and Oncology at Memorial University, and she's the director at the Sleep, Health, and Wellness Lab and Senior Scientist at the Beatrice Hunter Cancer Research Institute. Dr. Garland will be discussing the article titled, “.” Thank you for speaking with us, Dr. Garland. Dr. Sheila Garland: Thank you so much for having me. Dr. Davide Soldato: So, Dr. Garland, you designed a study that relied on cognitive behavioral therapy to treat insomnia, and then you assessed whether improvement in insomnia would be associated with an improvement in cancer related cognitive impairment. So I wanted to ask if you could give us a little bit of context and explain the rationale between these studies. So how common are these symptoms among cancer survivors, and why do we think that improving insomnia would also improve cognitive function? Dr. Sheila Garland: Yeah, thank you very much. That's a really, really good question. And so cognitive behavior therapy for insomnia has been used to successfully treat insomnia in cancer survivors for quite some time. I think JCO was one of the first publishers to really demonstrate the potency of this intervention to improve insomnia. But as we know, patients will often present not just with insomnia, but insomnia comorbid with pain, fatigue, and very commonly cognitive impairment. If we take a look at the experimental research in sleep, we know that sleep quality and quantity is associated with very important cognitive functions. And so we've had clear sleep deprivation studies where if you're not able to successfully get sufficient quality or quantity of sleep, you're going to have impairments in attention and concentration and memory. So it really makes sense that if we're able to improve sleep in cancer survivors, that we're also able to address maybe some of the other concerns that they would have related to sleep. So this is an important clinical question for the patient's quality of life, but I also think it has important system implications where if we're looking at like resources and efficiency of allocating those resources, if we have an intervention that can treat multiple problems, that means that we can more effectively address lots of symptoms and use fewer resources in doing so. So that was the thought in designing this trial. Dr. Davide Soldato: Thank you very much. That was very, very clear. So you spoke about the intervention that you implemented in the clinical trial. So I was wondering if you could give us a little bit of context. How long was the intervention? What were the main points addressed? Because you said that, in the end, we already have some data regarding cognitive behavioral therapy for treating insomnia. So I was wondering, did you personalize in any way, the program or the intervention to fit more to the cancer survivors population? Dr. Sheila Garland: Yeah. So it is based on a protocol that has been well researched and has a great deal of evidence of efficacy. But we delivered this intervention over a course of seven weeks. So individuals had individual sessions with a trained therapist, and those sessions lasted about an hour and were over roughly about two months or so. Seven sessions over two months. And because they were delivered individually, there was some adaptation based on the clients’ presenting problems. So while there's sort of a standard protocol, if the client is also presented with levels of fatigue or pain or anxiety or depression, the therapist was able to integrate those concepts into the therapy as well. There was nothing for cognitive impairment. So there was no additional intervention for cognitive impairment at all. We weren't doing any memory training or anything like that. So it was strictly the sleep and other symptoms looking at the impact of improving that on not only your perception of your cognitive abilities, but also on performance on a number of neuropsychological test measures. Dr. Davide Soldato: So thank you very much for the detail. And I think that it's very interesting what you said, that the personalization of the intervention would also allow to treat some other symptoms that are distressing for cancer survivors. Like, for example, you mentioned fatigue or anxiety or depression. And I think that this goes back to the first point that you made about the intervention. So being able to treat different symptoms all at one in one single intervention, I think that that is a very intelligent use of resources and also to promote and implement, potentially some interventions that are beneficial for survivors of cancer on different domains and potentially different symptoms. So, going to the results a little bit, what did you observe regarding specifically insomnia with the intervention that you delivered? Dr. Sheila Garland: Yeah, so, of course, we wanted to make sure that we were effective in targeting the primary outcome of what the trial was supposed to do, which was we were supposed to treat effectively, treat insomnia, and then determine whether treating that insomnia was related to improvements in cognition. So we were expecting that the intervention itself was going to be successful at improving insomnia, and we were. So we were able to not only demonstrate a statistically, but also a clinically meaningful improvement in insomnia severity. Usually that's measured by a change of about 8.4 on a measure called the insomnia severity index. And the change that we were able to produce was over 11 points. So it was clearly over the clinically meaningful change threshold. Dr. Davide Soldato: Going back a little bit to the design of the study, this was a randomized clinical trial. And how did you allocate the participants of the study into which arms? And can you guide us a little bit in the study design? Dr. Sheila Garland: Yes. A lot of thought went into the study design. We ultimately decided on having a waitlist randomized controlled trial, and this was because there is no other intervention for insomnia that has comparable efficacy. And we felt it would be unethical to not give people the standard treatment that we know works to treat insomnia. So that's where having them wait for a period of time and then receive the treatment was ultimately what we decided on. Overall, we were able to recruit 132 participants, and those were randomized into either receiving treatment immediately or receiving treatment after a two month waiting period. Dr. Davide Soldato: So you mentioned that the intervention was actually very effective for treating insomnia. You reported an improvement in the insomnia severity index of almost 11 points. And as you mentioned, this is both clinically meaningful and it was also statistically significant. Did you see any improvement also on cognitive function, and how did you measure this outcome? Was it self reported, or did you also have some objective measure to see, for example, working memory or some other type of cognitive function? Dr. Sheila Garland: Yeah. Also, a lot of thought went into choosing the primary outcome for this. And there's people who have argued compellingly that self reported cognitive function should be the primary target because we know, based on past research, that objective and subjective ratings of cognitive performance do not always correlate well with each other. And taking a very patient oriented approach, we wanted to make sure that we prioritized the patient's perception of their own function. We used one of the subscales of the functional assessment of cancer treatment cognition scale. So it was the Perceived Cognitive Impairment subscale that was what we used as our primary, but we also reported the two other subscales, which was the Perceived Cognitive Abilities and the Impact of Cognition on Quality of Life. We were able to not only discover that there were clinically significant improvements on all three of those subscales, but actually translated into, again, the clinically meaningful change threshold that's been established for the perceived cognitive impairment subscale is, I think it's around, like 5.9 points. So, using that cutoff, 75% of the participants in the trial reported clinically meaningful improvements in their perceived cognitive impairments, compared to just 43% of those participants in the wait list group. And we looked not only at the immediate intervention effects, but also on whether they were durable. So we had follow up assessments of both three months and six months after completing treatment, and the effects on insomnia, as well as the cognitive dimensions, they were maintained. Dr. Davide Soldato: Thank you very much for this last remark, because I think that one of the worries I would say that we have when implementing this type of behavioral intervention is that in the end, the change that we produce and the behavioral change that we produce might be effective in the immediate time after completing the intervention. But frequently we sort of see the loss of this benefit that we produce with the intervention at later time points. And I think that this is very important that you also looked at the benefit that was maintained over time for the three and six months after the end of the intervention. And it's true that before we add some data regarding other types of behavioral intervention, for example, for weight loss or some other symptoms and other toxicity that we frequently target with this type of intervention, I was wondering, do you think that it's something specific to cognitive behavioral therapy and the specific symptoms that you were treating, so insomnia, that in the end, produced a durable and meaningful benefit over time? Dr. Sheila Garland: So I do think that there's something really specific about this type of intervention. With insomnia, you're really changing the person's fear of not sleeping, and you're giving them tools to be able to both prevent the reocurrence of insomnia and also if the reocurrence should happen, they know what to do then to address it themselves. I was very curious about the impact that it might have long term. I actually wasn't sure whether it would have an effect immediately, considering that people do accumulate kind of a sleep debt after having insufficient sleep for a period of time. So I didn't know whether we would see anything immediately. I thought maybe we would need the long term follow ups to see some of the effect. But I guess maybe not surprisingly, at the end of the trial, thinking about when somebody has a good night's sleep, they're feeling the effects even the next day. Dr. Davide Soldato: Thank you. That was very insightful. Regarding the duration of the intervention, because in the end, this was very short, because it was just seven sessions weekly, and usually also when we design or implement this kind of behavioral intervention, we frequently go for a longer period of time where the patient is subjected to this type of behavioral intervention. Frequently, we see around three, six months of intervention. And so I think it's really amazing the effect that you had on this specific symptom with such a short intervention. So I think that that is also something that speaks to the possibility of further implementing this type of intervention and this type of program for symptom control. And going back a little bit to what was one of the main questions of the trial that you designed and the results of the article that you published, did you observe a mediating effect of the improvement of insomnia on the cognitive function? So, you said that insomnia improved, and so improved also your primary outcome, which was the scale of the FACT-Cog questionnaire. But did you see whether this improvement in cognitive function was really related and associated to the improvement that you observed in insomnia? Dr. Sheila Garland: Yeah. So that was a very, very important question. We needed to first demonstrate that there was a relationship between the intervention and insomnia, and then there was a relationship between insomnia and cognition. And then we did some mediation analyses subsequent to determining both of those, and we found that the change in insomnia was a full mediator of the change in cognition. So we were able to say that it's not just time or it wasn't related to something else, that improving sleep did have this direct effect on the improvement that patients reported in their cognitive impairment. Dr. Davide Soldato: We spoke a lot about the subjective improvement in cognitive performance. But you said that you also evaluated some specific and objective scale with, for example, I imagine some neuropsychological tests. Did you also observe some improvement for those specific tests, and did you observe the same amount of benefit or the same improvement, we could say, between the subjective and the objective weight of measuring cognitive function? Dr. Sheila Garland: I think that's where the outcomes become a little less clear. So, we did measure performance based cognition at all of the time points, and we were very careful in selecting these measures. So we followed the guidance provided by the International Task Force on Cognition and Cancer. They had some very specific recommendations about how and what measures we use. So we made sure to use measures that were able to be repeated, so that had multiple forms, that had very identifiable ways to indicate improvements. So we used the Hopkins Verbal Learning Test to measure word recall, both immediately and delayed. We used measures to look at verbal fluency and working memory. Overall, we had six different specific aspects of cognition that we were looking at, immediate word recall, delayed word recall, word retention, verbal fluency, word recognition, and working memory. Some of those presented with a different pattern of change overall. So a little bit trickier to interpret than the person's perception of their own cognition. Dr. Davide Soldato: That's very interesting because it's important to have this kind of objective assessment. But in the end, what we are really trying to target is a symptom that is distressing for cancer survivors. I'm not even sure that sometimes we need all of this detail, or at least that even if these outcomes that are more objectively measured, we do not observe the same amount of benefits. Still, if we are able to produce an improvement in the symptoms and the perception that the survivor or the individual or the patient, whoever we are trying to help in that specific moment and for those specific symptoms, reports an improvement, I think that is already very important. And I totally share the patient oriented approach that you followed in the study. Going back a little bit to the population, because I think that this speaks a little bit also to potential avenues for further research. You included a population of cancer survivors who completed treatment at least six months before being enrolled in the trial. And relating to the population, I had two questions. So the first one is, do you think that you would have the same kind of results, so the same benefit, also among a population of patients who's in active treatment? And then the second one is a little bit more speculation, but do you think that we will arrive, or do you envision research where we kind of deliver this type of intervention in sort of a preventative way? So if we would be able to identify those patients who might later develop these types of symptoms, could we use this type of intervention sooner? So can we prevent these symptoms even before they appear? And could this be potentially associated also in a less symptoms developed over time and less need to treat these symptoms when they become more severe? Dr. Sheila Garland: Those are two very, very good questions. The first one is regarding the population. You're right. These people were at least six months out of treatment, and we wanted to make sure that if there was any temporary disruption, that would have maybe been stabilized over that. But most of the people in this trial, and I will mention that we didn't focus on any specific cancer type or site. So this was really a heterogeneous group of cancer survivors, both male and female. The most prevalent diagnosis that we had was breast. But some of these people who were enrolled in the trial had advanced cancer, and as long as their cancer treatment, their regimen was stable, they were eligible to participate in the trial. So I think that's a very important point. If somebody is on a very intensive round of chemotherapy, it can be tricky to implement some of the more aggressive behavioral changes that can come with some of these insomnia treatments, because their level of wellness just isn't there. So during active treatment it can be challenging, but it is definitely not impossible. We would just tweak things a little bit to accommodate their physical well being at that time. To your next question, though, this is where I think we really need to be going. Just like they've done in the area of, like, physical activity, trying to really strengthen people prior to treatment is the way to go. Because some of my other research looked at symptoms prospectively from the time of diagnosis over the first year, and it's roughly about half of people, at least, this was in my work with women with breast cancer, about half of women with breast cancer come into treatment with clinically significant sleep problems. So, a proportion of those people just continue to have sleep problems or even get worse after it. So there's definitely a role for that, sort of like rehabilitation, not only for maybe physical fitness to try and ward off fatigue, but also getting their sleep on track. I think people are really focused, especially in that early time, about like, “I want to eat right, I want to exercise,” but I say it as many times as I possibly can, that you're not going to make healthy food choices, and you're not going to be getting out there and working out if you're not getting sufficient sleep. So we really need to have sleep there as the foundation and what supports all of those other healthy lifestyle behaviors that people are trying to change. Dr. Davide Soldato: So sort of comprehensive intervention for people undergoing treatment where we kind of identify symptoms that are already there at the beginning, and we deliver some sort of intervention that can target a lot of those symptoms, maybe not all of them, but maybe improving also the way that treatment is perceived or the toxicity that they might develop over treatment. Dr. Sheila Garland: And that's what I think. I think that if you're taking people who are already coming into treatment, that are looking after their health in ways that they can, they may be able to tolerate more aggressive treatments, they might be able to complete more rounds of chemotherapy, just getting them strong, going into treatment that way. Dr. Davide Soldato: Also still focusing on that very patient oriented perspective that I think it's very important in general for oncologists and also for patients. I think that you were very wise in choosing an intervention that could be also delivered virtually, and this was one of the bases of the intervention. And regarding also the way the intervention was delivered, I had a question regarding the fact that this...
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JCO Article Insights: Assisted Reproduction in Breast Cancer Patients
08/26/2024
JCO Article Insights: Assisted Reproduction in Breast Cancer Patients
In this episode of JCO Article Insights, Dr. Giselle de Souza Carvalho interviews Dr. Hatem Azim and Dr. Ann partridge on their JCO article TRANSCRIPT Giselle Carvalho: Welcome to the episode for the August issue of the . This is Giselle Carvalho, your host. I'm a Medical Oncologist in Brazil focusing on breast cancer and melanoma skin cancers, and one of the ASCO editorial fellows at this year. Today, I will have the opportunity to interview Dr. Hatem Azim and Dr. Ann Partridge, two of the authors of the POSITIVE trial. We will be discussing their trial on which was published in May this year. Hello, Dr. Azim and Dr. Partridge. Welcome to our podcast. Dr. Ann Partridge: Hi. Thanks. Dr. Hatem Azim: Hello. Giselle Carvalho: So, beginning with our interview for breast cancer survivors, in addition to the treatment itself, aging is one of the major contributors to infertility. The optimal duration of adjuvant endocrine therapy in patients with hormone positive early breast cancer ranges from five to ten years, depending on patient and tumor characteristics. This time interval can be critical for women who wish to attempt pregnancy. One of the main concerns in daily breast cancer oncology practice is whether breast cancer recurrence rates are increased either by temporary interruption of endocrine therapy for pregnancy or by the use of assisted reproductive technologies. Dr. Azim, what about assisted reproductive technology is worrisome regarding breast cancer outcomes? And how do the POSITIVE study results address the concern about worsening breast cancer outcomes either with assisted reproductive technology or endocrine therapy interruption? Dr. Hatem Azim: So, in the primary analysis of the POSITIVE trial, we tried to address one of these questions, whether temporary interruption with endocrine therapy affects breast cancer outcome. And what we found was that interruption did not appear to have a detrimental impact at the median follow up of 41 months. So in the current manuscript, we addressed the second question, whether assisted production of fertility preservation has an impact as well on breast cancer outcome. And we did not find any worsening of outcomes in patients who underwent these procedures compared to those who had a spontaneous pregnancy. Of course, we have relatively short follow up, but at least the outcomes at the median follow up of around 3 to 4 years appears to be reassuring. Giselle Carvalho: I see. Thank you. These are really important outcomes regarding premenopausal patients. So, moving on, results from your study show that after 24 months, 80% of women under 35 years old had at least one successful pregnancy, while the same was true for 50% of women aged 40 to 42. These results are particularly impressive considering that over 60% of women over 35 had undergone chemotherapy. Dr. Partridge, other than age, what factors did you find were associated with a successful pregnancy? Dr. Ann Partridge: Yeah. The biggest factor, other than age, that was associated with successful live birth pregnancy was use of assisted reproductive technologies. So either having gone through IVF prior to diagnosis and banking eggs or embryos prior to diagnosis and then using them during the study, for undergoing stimulation of the ovaries during the study and then using it during the study. And that's what we also looked at in this most recent analysis of the initial POSITIVE data. Giselle Carvalho: I see. Thank you. The group of patients who underwent embryo oocyte cryopreservation at diagnosis were more likely to be nulliparous and treated with chemotherapy. Presumably these represent the patient group most afraid they will be infertile, as they would be receiving chemotherapy, and most desirous of pregnancy, as they had not yet had any children. Fertility preservation techniques are expensive and not easily available for all patients, particularly in less wealthy countries. Is there any group of your breast cancer patients with a high enough likelihood of pregnancy without assisted reproductive technology that you would not recommend this? Dr. Ann Partridge: Sure. So we are so glad to have assisted reproductive technologies available in many places, but as you know, they're not available everywhere. And even where they're available for some people, it's either inaccessible for a number of reasons or it doesn't feel right emotionally or ethically. And then finally, sometimes people need fairly quick treatment and they just don't have the time, even though we don't think there are long delays. And so we do and are able to know who can get pregnant after standard chemotherapy. Not perfectly, but we can give estimates. And the gestalt is, the younger a woman is, the less likely she is to become amenorrheic and the associated infertile, although it's not a perfect match in terms of amenorrhea being a surrogate. And then there are particular chemotherapy regimens that are more gonadotoxic than others. The more cyclophosphamide, for example, or alkylating agent, the more anthracycline, the higher the likelihood generally of causing at least amenorrhea and likely infertility. The huge caveat there is that for some of our newer therapies, we have no good information about how they might impact on menstrual status, let alone the actual rates of fertility. So we need to collect those data. But certainly, if someone's very young, they're going to get four cycles of TC or they have inflammatory breast cancer, we often take kind of a let the chips fall where they may approach, because they just aren't able to access it and we'll often do something like ovarian suppression through the chemotherapy to help support them and hope that it improves their menstrual functioning in the long run and/or fertility. Giselle Carvalho: Thank you for your insight. So you found that pregnancy incidence over time differed by age group, although incidence of menstrual recovery over time was similar across all age groups, which I conclude that menstrual recovery does not translate into fertility. The addition of gonadotropin releasing hormone analogs to chemotherapy was not associated with time to pregnancy. However, of course, such use was not randomized. Dr. Azim, if assisted reproductive technology is not available to patients for reasons such as socioeconomic factors, would you recommend using GnRH analogs with chemotherapy for the purpose of fertility preservation? Dr. Hatem Azim: Yes. The short answer is yes. Of course, POSITIVE study was not designed to address the question around GnRH analogs, but we do have several randomized studies and meta analyses that have shown clearly that the use of GnRH analogs with chemotherapy reduce the risk of premature ovarian insufficiency. And subgroup analysis of some of these studies have shown a trend towards higher pregnancy rates as well. So, of course, if a patient does not have access to assist reproductive technology, GnRH analogs in combination with chemotherapy represent a very good alternative. Giselle Carvalho: I see. Thank you. Thank you for your response. At enrollment, 93.2% of women on POSITIVE trial had stage 1 or 2 disease and 66% had no negative disease. Therefore, one possible bias is that investigators might have been more comfortable with temporarily interrupting endocrine therapy if the risk of relapse was low. Dr. Partridge, what recommendations would you have for women with stage three hormone receptor positive breast cancer who desire to attempt pregnancy? Dr. Ann Partridge: Yeah, thank you. That's a really good question. It comes up in our tumor boards and discussions about patient care all the time, and I think, as you know, only a small proportion, about 6%, had stage 3 disease. Those patients are at higher risk of recurrence by nature of their stage. Not that all stage 3 are created equal, because, of course, if someone had a complete pathologic response to preoperative therapy and their stage 3 disease at diagnosis went to a PCR, then that person may have even better outcomes in the long run than someone who had postoperative treatment, and we don't know their likelihood even with stage 1 or 2 disease. But someone that you're concerned about their risk of recurrence, they still remain at risk of recurrence. And while we do not think, based on the POSITIVE data and all the data that we've had from retrospective studies and other data sets collected for other reasons, that a pregnancy would worsen their outcome, we certainly don't believe that a pregnancy at this point in time will dramatically improve their outcome or as a treatment for breast cancer. That's when I have a heart to heart conversation with the patient, really acknowledging they still remain at high risk. And most of my colleagues tend to want the patient to get more endocrine therapy into their system before they take a break. We've kind of discussed this, and we want someone to get more like at least three to five years. That may be a little bit paternalistic, because, as we know, taking the break for people with a little lower risk didn't seem to worsen outcomes. Maybe it's fine. I don't know that a break at five years is any better than a break at two years. I don't know. Hatem, how do you handle this in your practice? Dr. Hatem Azim: Well, I completely agree with you, Ann. I mean, it's very much decided on a patient by patient basis. The level of uncertainty that some patients accept to take is not necessarily like others. And sometimes we as physicians, we adopt this. I agree with this paternalistic approach. Nevertheless, it's very important for the patient who is 32, is not necessarily counseled like the patient who’s 39, and her acceptance and the feasibility of waiting a bit longer as well in order to attempt pregnancy - the success of pregnancy afterwards is not necessarily the same. So I'm not sure we could adapt a one size fits all approach here. And I do not necessarily tend to factor much the elements around the stage. I think my point to patients is usually, well, you do have give and take this amount of risk of relapse, for example, and whether we accept to take such, what we could refer to as relatively unconventional approach of temporary interrupting endocrine therapy, and when we are comfortable to go ahead with this journey, depending on the feasibility of getting pregnant afterwards as well. So, yeah, I completely agree. It's very customized, based on and tailored according to the patients’ situation. Giselle Carvalho: Thank you. I really appreciate your response to this. So, moving forward, tamoxifen alone was the most commonly prescribed endocrine therapy, followed by tamoxifen plus ovarian function suppression. The latter was preferred over aromatase inhibitors ovarian function suppression in the selected population. Endocrine therapy prescription changed in the second half of the recruitment period after July 2017 across all continents, likely due to the results of the SOFT and TEXT trials. It demonstrated absolute improvements in all disease outcomes by escalating endocrine therapy, which was more clinically meaningful in patients with high risk disease. Dr. Azim, how do you imagine this change could impact positive outcomes? Dr. Hatem Azim: Honestly, I'm not necessarily sure that it impacts significantly the way you interpret the data and the way we counsel our patients. So, in our study, some 50% of patients received GnRH analogs and around 15% received AI. And most of the patients, I would say, were recruited in the second half of the study after we had the results from, for example, SOFT and TEXT. Furthermore, as we alluded to earlier, we had 60% of patients who received chemo. So most of our patients had a stage 1 and 2 disease in which you would argue that the absolute difference between the different hormonal therapy options is not necessarily massive. Whether or not this would impact much, I'm not sure. I think the main counseling recommendations would apply, that patients who receive endocrine therapy would be asked to interrupt it for at least three months and then they attempt pregnancy afterwards. I don't know what you think, Anne, but I'm not sure that if we have more patients, and this is pretty much the case now, we have more patients treated with AI. I tend to do this a lot, especially if I'm thinking of interrupting, so I think I'm giving them maybe the best option first. I'm not sure this is necessarily, I mean, affecting me much, while interpreting that it does not appear that temporary interruption on the short term has an impact. Dr. Ann Partridge: I completely agree with your strategy. Depending on the patient and their tolerance, if they have enough risk to warrant ovarian suppression with AI or tamoxifen, of course I recommend that. And yet, at the same time, I agree with you in this group that was in POSITIVE, I think the groups are relatively low enough risk. Although 40% had no positive disease, the majority got chemo, so they weren't that low risk. And so I think over time, these kinds of patients are more and more going to get ovarian suppression. I'm doing that more in my practice as tolerated. And I hope that all that means is that their breast cancer outcomes will be better independent of a pregnancy. Giselle Carvalho: And on the topic of women with higher risk disease, CDK4/6 inhibitors are now used in the high risk adjuvant setting. How do you envision this impacting fertility? Dr. Hatem Azim: Well, this is a very good question. Of course, this is something, this is an area of research that we have to address. Some analysis from some of the adjuvant studies, for example, the PENELOPE-B, I think they reported on some of the results of their study in which they were evaluating palbociclib in the adjuvant setting and did not appear that there was significant differences in terms of the level of estradiol levels and FSH and anti-Müllerian hormone, for example. I think these were the parameters that were evaluated in this study. So, of course, more information. Of course, palb is not the CDK4/6 inhibitor approved in the adjuvant setting. So we need more information as well about the other CDK4/6 inhibitors and longer follow-up. In my view from a counseling perspective, I think maybe you would have a certain level of uncertainty regarding whether or not this could have a mental impact on fertility. But the concept as well of possibly proposing a temporary interruption as we adopted in POSITIVE, would still apply. These patients would be treated as well, often, because if they are receiving CDK4/6 inhibitors in the adjuvant setting, it means that they have a high stage disease, so often they will be treated as well with GnRH analogs. I would counsel them pretty much the same, acknowledging a certain level of uncertainty regarding the data we have today on CDK4/6 inhibitors. Dr. Ann Partridge: Yeah, if they got a full course, they would generally be further out than many people on POSITIVE, because we treat with, for example, the abemaciclib for two years and then you want to wash out and things like that. In POSITIVE, the average was two years. And so you'd expect people of higher risk to be a little further out, which I think would make everybody a little more comfortable too, because someone who's very high risk, you'd worry about very early bad recurrence, too. Giselle Carvalho: Yeah. Thank you. So, Dr. Partridge, regarding adherence to endocrine therapy resumption after the two year break, what was the percentage of patients who resumed treatment and which strategies would you suggest to increase adherence in this case? Dr. Ann Partridge: That's a really great question. In the study, it was well over 70%, which is actually higher than you see in the general population of breast cancer survivors, especially young women. So in some cases, and I can tell you anecdotally, I experienced in my clinic that patients were more likely to start and take their endocrine therapy when they had the promise of the POSITIVE trial, to take a break to have a baby, because some of them don't want to start it, let alone stay on it, if they're told they have to take a full five to ten years. So it actually promoted adherence, ironically. And then for the people who got back on in the real world, the data suggests that by four years, somewhere close to half to 30% to half are no longer taking it. And so in POSITIVE it was, I think, 74% got back on, and that was only at the time point cut off when we did the initial primary data report. And of course more people will have gone back on because some people were still having babies and in the middle of things. And so I think that it's not as much of an issue with POSITIVE. In part, these are very compliant people, right? They're participating in a clinical trial to share the data with the rest of the world. They could have gotten pregnant on their own and they want to do it with their doctors. And so I think this is a little bit of a different group, but it was very reassuring to see that most people got on hormonal therapy after their interruption. Giselle Carvalho: And recurrence of hormone receptor positive breast cancer may occur late. How long do you plan to follow patients enrolled in the POSITIVE trial? Dr. Ann Partridge: So our plan is to follow them for at least 10 years. And it's interesting because we're starting to get close to that. We started enrollment in 2015, so I saw someone earlier this week who will have her 10 year mark next year because she got on in 2015. And that's very exciting. Obviously, it would be great to follow them even longer because ER positive breast cancer can recur many years later. But I do think that we feel as though at least 10 years will give us a good, very evidence-based feeling about the safety. Giselle Carvalho: Thank you. Thanks for sharing. With enrollment occurring at 116 institutions in 20 countries across four continents, this representation of different races and ethnicities provides strength to support this recommendation for this group of patients worldwide. Dr. Azim, what are your hopes for future analysis from this study and what future research in the area are you planning or would like to see performed? Dr. Hatem Azim: So Ann mentioned, of course, it would be crucial to conduct the long term follow up of these patients, and provide more reassuring evidence on the safety of this approach of adjuvant endocrine therapy. So this is something we're really looking forward to. Other analysis that we are working on is the breastfeeding analysis. So looking at patients who underwent breastfeeding and how far the feasibility of this approach, obviously, but how far as well this had an impact on their breast cancer outcome. So this is something that hopefully we are going to report on soon, expected end of this year. As well, we are working on evaluating, we had a large translation research program within POSITIVE, addressing several questions, including the evolution of ovarian function parameters over time and the ovarian reserve. Also, we are working on reporting on this information. We hope that this could happen maybe in the coming year. Giselle Carvalho: Great. And finally, what advice do you give young women in your clinic who have been diagnosed with early stage hormone positive breast cancer and who are hoping to attempt pregnancy. Dr. Hatem Azim: We address these kinds of questions relatively early in their treatments and often they are very much concerned about their chance of future fertility. Usually early on, for example, before going for chemo and so on, I just share the information that this is something that we certainly could discuss and certainly there are the possibility that we could consider in the future that it's not a ‘no go’ at least. And...
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Multi-Cancer Early Detection Testing for High-Risk Patients
08/08/2024
Multi-Cancer Early Detection Testing for High-Risk Patients
Host Dr. Davide Soldato interviews Dr. Sana Raoof to discuss the JCO article . TRANSCRIPT Dr. Davide Soldato: Hello, and welcome to the podcast where we sit down with others from some of the latest articles published in the . I am your host, Dr. Davide Soldato, Medical Oncologist at Ospedale San Martino in Genoa, Italy. Today, we are joined by JCO author Dr. Sana Raoof, Physician at Memorial Sloan Kettering, to talk about her article, “.” Thank you for joining us today, Dr. Raoof. Dr. Sana Raoof: Thank you so much. It's lovely to be here. Dr. Davide Soldato: So, Dr. Raoof, I just wanted to start a little bit about the theme of your article, which is really centered around multi-cancer early detection tests. And this comes from the results of several studies that showed their reliability and efficacy in identifying cancer in the average risk population. But I just wanted to ask you if you could give us and our readers a brief overview of how these tests work and how they were designed for this specific population. Dr. Sana Raoof: Of course. Well, there's an interesting story. The origin of multi-cancer early detection tests actually begins with insights that come from the field of obstetrics and gynecology. So about six or seven years ago, in the peripheral blood of pregnant women, we discovered that you can actually find fetal DNA floating around. And that was an early discovery of cell free DNA coming from the baby into the mother's bloodstream. But in some of those young, otherwise healthy women, we also discovered that there's another clonal signal, unfortunately not coming from the fetus, but coming from an undiagnosed tumor. And that led to the entire field of circulating tumor DNA and all of its applications. Of course, scientists in the last six or seven years have harnessed the fact that DNA and the methylation patterns on the circulating tumor DNA, as well as other analytes like glycosaminoglycans, proteins, and other analytes, are secreted by tumors into the peripheral blood in order to try and screen for tumors, hopefully at early stages, when there are still curative, definitive interventions that are available. There's several different tests now that are providing the ability to detect cancers at many stages, including early stages. They're in different phases of preclinical to clinical development, and one is even commercialized and available by prescription in the United States. Dr. Davide Soldato: Okay. So I think that in most of these tests, they really look at the tumor DNA, so they identify mutations or, for example, methylation patterns. But do we also have some tests that integrate some other type of biomarkers that we can identify in the blood? Like, are they integrated all with the others, or are we just relying on circulating tumor DNA? Dr. Sana Raoof: It's a great question. There's a lot of really fascinating biology that different companies predominantly are using in order to find signs of early cancer. One of the analytes that I find really interesting, other than looking for small variants in circulating tumor DNA and looking at methylation patterns, as you mentioned, is looking at fragment length. So, for example, the company DELFI looks at the different patterns of the length of DNA fragments that are floating around in the peripheral blood. And not only is fragment length tissue specific, so in theory, a fragmentomics based multi-cancer early detection test could tell us what is the tissue that this aberrant signal is coming from, but they can also tell you if there's likely a cancer present, because there's a difference in fragment length patterns in cancer versus non cancer. There are also other analytes. I mentioned glycosaminoglycan. There's another company that doesn't yet have prospective data, to my knowledge, that is making a test that looks at these analytes instead. There are other companies, again, without prospective data yet, that are looking at circulating tumor cells. And I'm sure that in the next few years, we're going to start getting prospective data from all of these players and also hear about other analytes that scientists have found can predict cancer from non cancer and maybe even protect tissue of origin based on artificial intelligence. Dr. Davide Soldato: So you mentioned artificial intelligence. So, basically what you're suggesting, but correct me if I'm wrong, is that when we use this test, we are actually measuring something in the bloodstream, but at the same time, we are actually applying some type of artificial intelligence to actually interpret these results and then give us the definitive results, or what we would call like a positive and a negative of the tests, is that right? Dr. Sana Raoof: Yeah, absolutely. And it's an important distinction that you're making, we are measuring something in the blood, but we're not just measuring it. We're using machine learning algorithms that have been trained on thousands and thousands of patients with cancer and thousands and thousands of patients without cancer, and have measured various analytes and analyzed the patterns, for example, of DNA sequence, or bisulfite sequencing of methylation patterns of patients with and without cancer, and have been trained to look for the differences between them. And so the analyte that we're looking for is not a specific mutation per se, but is a pattern that looks like patterns that you typically find more so in cancer patients. There's many different companies, they are trained on different types of cancer. So some companies, like GRAIL, have a test that looks for a very expanded list of over 50 cancer types. Other tests have a narrower focus and were trained and validated on a smaller list of cancer types. So there's just a great diversity in this space. These tests are trained to look for different types of cancer. They're trained and validated on different populations of interest. So, for example, some of the populations that these tests were trained on are predominantly white, and that will have impacts, potentially on how these tests perform in non-white populations. And that's a really interesting area of future research. These tests may or may not have included cancer survivors in their populations, and that could ultimately impact how these tests perform in those populations. So there's just so much to learn, so much data that's going to be coming out in the next few years from all of these different key players in the multi-cancer early detection space. But one thing that I'm sure of is between all of the different analytes, all of the different training and validation studies, and all of the different prospective studies, we're going to learn a tremendous amount about the potential clinical utility of using multi-cancer early detection tests to complement the few standard of care surveillance cancer screening tests that we have recommended today. Dr. Davide Soldato: So just taking a step back and going back to the fact that we actually use machine learning algorithms to identify a pattern that can give us an idea of whether cancer is present or not, I believe that there is also some room for calibration of these types of tests. And I think that this is one of the key arguments that you make in your paper where you say that we can actually personalize a little bit more these types of tests to understand and then to decide what we are looking for. Is that correct and can you expand a little bit on that? Dr.Sana Raoof: Yeah, absolutely. This is the central concept of the paper that we're discussing. Because these tests are machine learning based, as I said, they're trained to say cancer versus not cancer, and some of them are further trained to say, coming from this organ or coming from that organ. But what does it mean to say cancer or not cancer? There are specific thresholds that are defined to say, above this threshold of signal detection, we're going to say this is a positive cancer signal detected, and below it we're going to say negative. And so right now, these tests are kind of designed to have this binary output, and the concept that I wanted to put forth in the paper is it doesn't necessarily have to be binary, and the thresholds don't have to be static. So, for example, you can imagine that in an average risk population where the pretest probability of cancer in your lifetime for Americans, it's pretty high, roughly 40% for lifetime. But at any given moment in time when you're getting a test, it's lower. For example, in Americans, 50 to 80, the chance of having cancer at any given moment is just under 3%. So you don't necessarily want a test that is very nonspecific, you don't necessarily want to tell a lot of perfectly healthy people that are asymptomatic screening populations that they have cancer if they don't. And so these tests were designed to have very high specificity, predominantly across the board, across the different companies making them at the cost of, in some cases, having lower or moderate sensitivity in early stages. And it's important to keep in the back of your mind that we cannot ever expect the types of early stage sensitivities from multi-cancer early detection tests that we're used to thinking about for single cancer screens that are just optimized for one single organ. They work in a completely different way. So I don't expect a future where the sensitivity of a mammogram, which is only for breast cancer, is going to be analogous to the sensitivity of a blood-based test that's looking for all cancers in your entire body. I don't think it's fair to expect that. But I do think it's possible to imagine a future where we do change the thresholding of these tests that were trained and validated in average risk screening populations, and say, “Let's turn the knob on the dial and let's take the sensitivity a little bit higher, even if it means the specificity drops from 99%, for example, which is the very high number of the gallery test, down to 98%, down to 97%. Let's see how this affects the positive predictive value and the negative predictive value of the test.” And how having a higher negative predictive value by having a higher sensitivity may or may not make it more clinically useful for higher risk populations that have higher pretest probabilities, in which case we are kind of more interested in being sure that we're ruling out cancer. Another concept that I talk about in the paper, aside from just turning the knobs, is to make it a continuous variable rather than a binary report. Rather than saying signal detected or not signal detected, I can also imagine a future where we personalize the output of multi-cancer early detection tests to return a score, for example, from 1 to 100 or 1 to 10, and give physicians the ability to use that continuous variable in addition with other clinical findings, physical exam findings, other labs, symptoms, patient’s past medical history, family history, all of that together to make decisions about should we pursue further workup, should we do an invasive biopsy. This is kind of the way that we use other scoring tests in oncology, like the oncotype tests for breast cancer, decipher test in prostate cancer. And I think physicians like having continuous variables to work with and to help them make very personal decisions for patients' diagnostic workups. Dr. Davide Soldato: To summarize a little bit, what you're arguing in the paper is that we could potentially modify a little bit these tests as they fit the type of population that we are looking for. For example, if we are looking at the average risk person in America, there we just want to be sure that we are just doing additional workout and additional follow ups and additional invasive procedure, for example, biopsy, when we have a very high probability of finding that cancer. At the same time, if we have someone who has a baseline risk which is higher, like cancer survivors, in that case, we are more interested in seeing if there is really cancer at that point, and so we can increase the sensitivity and go down on specificity, but still looking at the overall outcome that we want to have for that specific patient. One thing that I was wondering is, do you also see a future where we personalize a little bit more also including additional information that comes from risk factors, environmental or behavioral patterns, type of diet, or these types of risk factors that we already know from epidemiology are associated with a higher risk? So could we potentially customize this test even more, saying, this patient has a higher risk of developing colorectal cancer, so could we look more specifically to that specific cancer type and that specific risk compared to tobacco associated cancers, that for that specific patient, they are not so relevant? Dr. Sana Raoof: What you're saying is actually a fascinating and really compelling idea, and it reminds me of the way that noninvasive prenatal testing works. So, again, back to the world of obstetrics and gynecology, you have a woman at the end of her first trimester having fetal DNA testing to look for chromosomal abnormalities. And when you order that test, you actually do put in various features about the woman to help you understand her baseline risk for carrying a fetus that has chromosomal abnormalities, including her age, the status of her other children, and other things in order to help you calculate a pretest probability. And so after that, the non invasive prenatal test takes that into consideration and returns a probability of carrying a fetus that might have those aberrations, and it's not a binary risk. It's, as I said, a continuous variable. So I think what you're proposing actually goes beyond what I wrote about in the article. I think it's a fabulous idea. And I think that in the near future, I can imagine that as natural language processing is exploding, and in general, large language models and the ability to extract features about a patient from the EMR are exploding, we might have a better stratification in general of patients into average risk, low risk, high risk, and really high risk, using EMR data, using real world data that could help us feed a really accurate picture of a patient's pre-test probability into this test, so that these tests could be further refined and further trained and validated on patients, taking into consideration more factors and help us improve the predictive power of the tests as they're returned in a report to the physician. So I think maybe you should even write an article about the idea just proposed. It's a great idea. Dr. Davide Soldato: So another aspect that I was really interested in is I've looked at one of the papers that you cited, and I wanted to discuss this with you as you are an expert on the topic. In one of the articles that you cited that used this type of test, they identified some of the cancers that we also normally identified with standard screening procedures, like breast or lung or colorectal. So for those cancers, we add a certain proportion, or like, for example, for breast cancer, a higher proportion identified with conventional screening. But still we had some other cancer that eluded those types of screening and were identified using liquid biopsy tools. So do you envision a strategy where we would use the screening methods that we already add as a complement to those liquid biopsies, or do you think that someday liquid biopsy could potentially completely substitute standard screening procedures? Dr. Sana Raoof: I think we're too far from a day where liquid biopsies are going to replace standard of care screens. The scope scans and smears that the United States Preventive Services Task Force has recommended are gold standard screening interventions because, number one, for all of them, except for cervical cancer screening, we have randomized data with definitive endpoints that tell us that there are mortality benefits from doing those screens. We don't have that type of data yet from the world of multi-cancer early detection. And as we talked about earlier in this podcast, those tests are kind of designed with a different approach where they have higher sensitivity and much lower specificity than multi-cancer early detection tests. So I think that the molecular cancer screening companies have done a very careful job of creating tests that are really more optimized to be complementary tests rather than a standalone catch all test, to have higher specificity at the cost of lower sensitivity. So I don't imagine a near future, at least not in my career, where we're going to stop doing colonoscopies and mammograms and pap smears. I don't think that that's going to happen. But I do think that whereas right now 75% of cancers that Americans die from, we lack cancer screening mechanisms for them, I think that that number has the potential to really drop. If in the next few years, one of these multi-cancer early detection tests is ultimately approved and covered, then I think that a lot more cancers could be detected by screening rather than by symptoms, and we might ultimately see a big stage shift. Dr. Davide Soldato: Yeah, I think you're absolutely right. In the same article that I was mentioning before, there were several of those cancers which can be lethal if diagnosed at an advanced stage, that were diagnosed at an early stage, for example, ovarian cancer, bladder cancer. So I really think that we really have potentially the way to screen, or at least have a signal for cancer that currently we just diagnosed when symptoms associated with higher stage appear. But moving on to turning the knobs on this type of test, and so going to the higher risk population, for example, cancer survivors, which is something that you speak a lot about in the manuscript. So you also discuss a little bit the question of whether we should use multi-cancer testing versus single cancer testing. So are we looking at a specific recurrence from that specific tumor, or are we looking at a general risk of cancer in a population that has a common risk factor, like tobacco? And so I was wondering if you think, and this is probably just your perception or just your opinion, that that is another way that the physician should turn the knob. Should we evaluate the risk of those cancer survivors and say, in this specific patient right now, the risk of recurrence is higher so I should use or I should be more in favor of a test that is more centered on the risk of recurrence versus I have a general risk of several cancers that could appear, and so should I use something that is more multi-cancer? This, of course, is merely speculative because we still don't have definitive data regarding the efficacy of this test. But it is just your perspective on this type of approach in the near future or not so near future. Dr. Sana Raoof: Well, I think if we're speculating, then I think that the fantasy situation for any oncologist is that you have two types of liquid biopsies. One is a multi-cancer early detection liquid biopsy. And it would be great if you could select whether you want it to be optimized for highest NPV, negative predictive value, or highest PPV, positive predictive value. And then you also have a host of single cancer screening liquid biopsies that can help you specifically figure out if there's a recurrence of a single cancer type that you're suspicious about. So, for example, in the article, I talk about how there will be clinical gray areas, and it's not always going to be obvious which test you should reach for. But one example that I think we can all relate to in the oncology community is you have some indeterminate imaging finding, and you don't know what to do about it. So, for example, you have a woman...
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JCO Article Insights: Back to the Drawing Board: Overcoming Resistance to PD-1 Blockade
07/29/2024
JCO Article Insights: Back to the Drawing Board: Overcoming Resistance to PD-1 Blockade
In this episode of JCO Article Insights, Rohit Singh interviews Dr. Ticiana Leal on the editorial, "." TRANSCRIPT The guests' disclosures can be found in the transcript. Dr. Rohit Singh: Hello and welcome to . I am your host Rohit Singh and today we will be discussing the article, “.” And we are joined by the senior author of the article, Dr. Ticiana Leal. Dr. Leal is an Associate Professor in the Department of Hematology and Medical Oncology at Emory University School of Medicine, and she serves as director of Thoracic Medical Thoracic Oncology Medical Program and Multidisciplinary Thoracic Oncology Leader at the Winship Cancer Institute. She also served as a member of the Board of Directors at the Georgia Society of Clinical Oncology. Dr. Leal, welcome to our podcast and thank you for joining us. Dr. Ticiana Leal: Thank you, Rohit. Thank you for this interesting opportunity to discuss our editorial. My co-authors and I are very glad to be here today. So, Dr. Jennifer Carlisle and Dr. Liu were co-authors with me on this editorial. Dr. Rohit Singh: It's a really good article. And just for our audiences, the article again, titled “,” it discusses the challenges and the potential strategies for overcoming resistance to immune checkbox inhibitors in patients with non-small cell lung cancer. In this article, Dr. Leal and colleagues talk about the second line of drug when the patient developed disease progression while immunotherapy and they develop resistance and their definitions and what to do. So, to Dr. Leal, can you please explain the mechanisms of primary and acquired resistance to immune check prohibitors in non-small cell lung cancer? I also saw in your article you proposed the definition of immunotherapy resistance in solid tumors, distinguishing between primary resistance and acquired resistance. So, if you can please share your thoughts and explain their mechanism. Dr. Ticiana Leal: So primary resistance and acquired resistance are related to tumor intrinsic and tumor extrinsic factors. And this is mainly clinically defined as of now according to previous response patterns and timing of occurrence, and these definitions can be heterogeneous, and we certainly think that biologically they can be very different. And it can be different according to prior therapy, whether patients got immunotherapy as PD-1, PD-L1 inhibitor alone or combination strategy with CTLA-4, or the combination with chemotherapy. But the patterns of resistance can be very different and can be based on defects and antigen presentation. It can also be due to tumor microenvironment immunosuppressive effects, and there are also additional inhibitory checkpoints that can be involved. The definition in terms of when to call it primary or acquired resistance at this point has really been based on consensus guidelines by SITC, by Esmo, as well as our group Lung-MAP has developed clinical trials in this space. Specifically, through Lung-MAP, we've defined and incorporated the definition of acquired resistance as patients who have had prior exposure of 84 days or greater and then have had progression of their disease. Dr. Rohit Singh: I can see why it is so challenging to come up with a standard definition for immune checkpoint resistance and I think incorporating these definitions and predictive biomarkers for clinical trial design is going to be more important going forward. Your article talks about CONTACT-01 study, so can you please discuss the CONTACT-01 study and how the shifting treatment paradigm in the first-time study impacted it and at the same time also discuss the potential implication of the differential outcome observed between the men and women in the CONTACT-01 study. Dr. Ticiana Leal: CONTACT-01 was a much-awaited study. The authors, Dr. Neal et al, looked at a very important question in the area of immunotherapy resistance. So, CONTACT-01 was a randomized phase three global study that investigated the combination of cabozantinib plus atezolizumab versus docetaxel in patients previously treated with chemotherapy and immunotherapy. And as background, cabozantinib is an inhibitor of multiple receptor tyrosine kinases including VEGFR-2, MET, RET and TAM family kinases. Preclinically, cabozantinib could lead to immuno permissive tumor microenvironment and so it was rational to combine it with a PD-1 inhibitor. In early results of a phase 1B expanded cohort of COSMIC-021 showed really promising results of this combination which led to the rationale of CONTACT-01. In this study, however, patients that were included had different prior treatment sequences. They could have had prior immunotherapy alone followed by chemo or the opposite, or they could have had prior immunotherapy and then upon progression gotten a combination of immunotherapy plus chemotherapy. That to say that immunotherapy rechallenge is something that people are doing in clinical practice given the unmet need and the desire to overcome immunotherapy resistance. But perhaps that also includes a more resistant population of patients, and these patients certainly could have had heterogeneous mechanisms of resistance which could have impacted these results. The study did not meet the primary endpoint of overall survival. We saw a median overall survival of 10.7 months with the combination of atezo plus cabo and 10.5 months with docetaxel alone. In terms of the differences between sex that we saw in the CONTACT-01 study, just to go back in terms of the preclinical studies that have been done, there have been some preclinical studies that demonstrated that perhaps there may be some biological differences in models of different genders in mice. However, in the clinical setting, there have been, I think, contradicting results. A meta-analysis showed that perhaps women derive less benefit than men. Other studies have shown that perhaps women have more adverse events to immunotherapy. In this study specifically, only about 20% of the patients enrolled were women and the majority actually had non squamous histology. And we saw here less benefit for immunotherapy in women. But again, I think the numbers here are quite small. This is an exploratory analysis and I do think it highlights though the importance of making sure that we include populations and have higher rates of accrual, not only in women, but in other representative populations. In this study, only about 1% of the patients were black. Dr. Rohit Singh: Yeah. Thank you so much for highlighting those disparities. I think it's very important to make sure that we have proper representation of all the groups in our trials. I think based on just coming off the VEGF inhibitors, I think the Lung-MAP trial S1800A, showed a significant improvement in median OS with the combination of pembrolizumab and ramucirumab compared to standard of care. Do you envision any future commission therapies targeting the VEGF pathway with immune prohibitors in non-small cell lung cancer? Dr. Ticiana Leal: I definitely think that targeting VEGF with multikinase TKIs based on the studies that we have seen, several now randomized phase 3 studies showing that this strategy is ineffective. So, this has been quite disappointing. But we've now seen the results of CONTACT-01, that we're just discussing here, but also other studies, including SAPPHIRE, which was also a randomized phase 3 that investigated nivolumab plus another VEGF multikinase TKI, sitravatinib. And then we also saw LEAP-008, which was a negative study investigating lenvatinib plus pembrolizumab. There still is a question though, whether you can target the VEGF pathway inhibition with a monoclonal antibody, so that's ramucirumab targeting VEGFR-2 plus ICI, and whether that can actually be an effective strategy. In our Lung-MAP trial, the S1800A, this study was a randomized phase 2. Here we used the definition of acquired resistance of patients receiving prior immune checkpoint inhibitor for a minimum of 84 days, and they were randomized to the combination of pembrolizumab plus ramucirumab versus investigator’s choice of standard of care, which did include docetaxel, ramucirumab, docetaxel gemcitabine and methotrexate. This was a positive study. It led to significant improvement in median overall survival and there weren't any significant safety signals here. And we're waiting for another confirmatory study called the Pragmatica-Lung study. Dr. Rohit Singh: Yeah, I did have one patient who raced through pembro, and I utilized this combination and was able to get some responses. You mentioned Pragmatica-Lung trial. Can you provide more information about the ongoing Pragmatica-Lung trial and its potential impact on the treatment paradigm? Dr. Ticiana Leal: Yeah, the Pragmatica-Lung trial is an ongoing study, S2302. This is an effort that is ongoing. Dr. Karen Reckamp is the chair of this study. And this is a study that actually has a very, I think, modern study design. The term Pragmatica, this is an effort that is supported by the NCI to really propose a clinical trial design that is pragmatic to promote diversity and inclusion in clinical trials. The aim of this trial specifically is to validate what we saw in terms of overall survival in S1800A. So, in this study, patients with previously treated advanced non-small cell lung cancer are randomized 1:1 to the combination of pembrolizumab plus ramucirumab versus standard of care for patients previously treated with immunotherapy and chemotherapy for stage 4 recurrent non-small cell lung cancer. Primary endpoint here is overall survival. And I think this kind of highlights what we were talking about in terms of empowering investigators to treat patients in a clinical trial more so like a real-world setting. And I think this can be paradigm changing and decrease barriers to enrollment and also include now the real-world population that we see in clinical practice. Dr. Rohit Singh: Yeah, changing gears a little bit. I think your article also mentioned other agents that have been tested in ICI resistance settings, like lenvatinib-sitra. However, those trials results have been disappointing. What are the possible reasons behind those dose point results with multikinase inhibitors? Dr. Ticiana Leal: We saw some really interesting, promising overall survival results with these combinations in phase two setting. In the phase 1B expansion with CONTACT-01, we saw prolonged overall survival that we thought would be promising enough to investigate in a phase 3. Ultimately, I don't know because there weren't any biomarkers that we could really tease out what was going on. Again, to highlight that both in LEAP-008 as well as CONTACT-01, there was no definition of immunotherapy resistance, which could have impacted, and we did choose the definition for SAPPHIRE, that patients had to have acquired resistance and immunotherapy had to be the most recent prior therapy. Ultimately, one potential reason for why these are not effective could be that this targeting with a multikinase TKI with multiple targets is ineffective, and you really have to target VEGF more precisely, which is the case here of ramucirumab, which targets VEGFR-2, and whether there are differences between a TKI and a monoclonal antibody may also impact the outcomes here. Dr. Rohit Singh: You mentioned biomarkers. Do you think, are there any other potential biomarkers beyond PDL-1 or human mutation burden expression that can help us predict the response image checkpoint, especially in non-small cell lung cancer? Dr. Ticiana Leal: I think that's a great question. I definitely think that more effort needs to be dedicated, and of course, there are multiple efforts in this direction. One of the challenges, obviously, has been to obtain tissue to do this biomarker testing in clinical trials. When you look at CONTACT-01, they did PDL-1 expression, but this was all based on archival tissue and it was all based on standard of care, local testing. So, a lot of heterogeneity there, and certainly using PDL-1 at baseline from initial diagnosis for a second line trial may have significant flaws there. Ultimately, right now, for clinical practice, there isn't anything that's ready for prime time. But certainly, it sounds like, based on what we're seeing, that combining biomarkers is more likely to improve the accuracy. And I think a single biomarker alone is probably going to have insufficient predictive capacity. It'd be great to be able to better comprehensively characterize an individual's tumor, to individualize immunotherapy strategies in this relapse setting. Dr. Rohit Singh: Yeah, definitely. We need more, better biomarkers. Coming to your point of heterogeneity, PD-L1. I myself had a patient, when we got PDL expressions from one site, they gave us one to 49%. However, for the testing, I sent the patient to a further lab at outset and PDL turned out to be 80%. But that was from a different site because of the bio sets only. Yeah, to your point, it's very heterogeneous and definitely we need to be more cautious interpreting those. In that trial, in CONTACT-01, we have, through the patient who have oncogenetic lung cancer. Are there any plans to explore the role of immune checkpoint in oncogenetic lung cancer, especially like non-EGFR, non ALK? I know those are the ones that we have seen in multiple studies that don't respond but are other oncogenetic lung cancer is getting more and more target treatments coming out for non-small lung cancer? Dr. Ticiana Leal: Yeah. So, for patients with driver mutations, the paradigm has been well established that if there is a driver mutation, the patient should receive the appropriate targeted therapy. Immunotherapy as monotherapy has been ineffective in a lot of the patients with driver mutations beyond EGFR and ALK, certainly RET and HER2, ROS1, or other driver mutations that we believe that immunotherapy alone is ineffective. However, we are seeing some interesting ongoing clinical trials, or completed clinical trials investigating immunotherapy in patients with driver mutations. Going back to the EGFR population, we recently saw the results of HARMONi-A, which investigated ivonescimab, which is a bispecific antibody hitting PD-1, and VEGF, that in combination with chemotherapy, improved progression free survival in patients with EGFR mutated, non-squamous, non-small cell lung cancer with progression on prior TKI treatment. So, I think it is still an area of active investigation, and I do think that ongoing trials, perhaps with different PD-1, PD-L1 combination strategies such as bispecifics may be interesting but does require investigation. Dr. Rohit Singh: Yeah, definitely. It looks like combination therapy is going to be the most likely answer coming forward with more research, we're able to figure out the best possible treatment in this subgroup of patients. Considering the current challenges and ongoing research efforts, how do you see the field of non-small cell treatment evolving in coming years? Dr. Ticiana Leal: This is an interesting and important question. I think it's been really exciting to be working in thoracic oncology research. We have seen that these research efforts have led to advancement in the field. I think we need to continue to partner and collaborate with institutions, partner with industry, and also with patients and patient advocates to design clinical trials that are really going to focus on the needs of our patients in clinical trials. The gap in the second line and beyond after immunotherapy failure is a significant one. So, I do think that the challenges are to continue to develop biomarkers, to really understand who will benefit from immunotherapy strategies, who benefits from combinations, and most importantly, who does nothing. I think biomarkers are going to be something that we need to continue to incorporate in clinical trials, and I do think that there's a lot of room for hope and promise in the field. We've seen some interesting results with antibody drug conjugates and the combinations there may also be of interest. And then other important strategies, we're looking at T Cell engagers and different drugs with different mechanism of actions, including CAR T and vaccines. So beyond immune checkpoint inhibitors, I think we have different classes of drugs that may lead to different treatment strategies for patients in second line and beyond. Dr. Rohit Singh: Yeah, certainly we have seen such extensive development in lung cancer. However, there's still a lot to be done as you just mentioned. Thank you so much Dr. Leal for your time and great insights discussing your article with us. Dr. Ticiana Leal: Thank you. Dr. Rohit Singh: Thank you for listening to . Don't forget to give us a rating or review and be sure to subscribe so you never miss an episode. You'll find all ASCO shows at . The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement. Dr. Leal Disclosures Consulting or Advisory Role Company name: Novocure Company name: Amgen Company name: Roche Company name: AstraZeneca Company name: Regeneron Company name: Novocure Company name: Takeda Company name: Jazz Pharmaceuticals Company name: Catalyst Pharmaceuticals Company name: Pfizer Company name: Janssen Company name: Genentech Company name: Novartis Company name: Sanofi Company name: BMS GmbH & Co. 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Functional Disability Among US Cancer Survivors
07/11/2024
Functional Disability Among US Cancer Survivors
Dr. Shannon Westin and her guest, Dr. Chao Cao, discuss the paper "" recently published in the JCO. TRANSCRIPT The guest on this podcast episode has no disclosures to declare. Dr. Shannon Westin: Hello, everyone, and welcome to another episode of , the podcast where we get in depth with authors and manuscripts that have been published in the I'm your host, , gynecologic oncologist by trade and Social Media Editor for the JCO. And it is my pleasure to welcome Dr. Cao, a research fellow in medicine, Department of Medical Oncology, Dana Farber, Cancer Institute, Boston, Massachusetts. Welcome. Dr. Cao: Thanks for having me. Dr. Shannon Westin: Of course. And we're going to be discussing your very important work, “,” which was published in the Journal of Clinical Oncology on April 4, 2024. And Dr. Cao has no conflicts of interest in regards to this podcast. So let's get right into it. I'd love to level set. Can you speak a little bit about the definition of cancer survivorship and the number of cancer survivors currently in the United States? Dr. Cao: I think this is an important question because everyone somewhat has confusion about the definition of cancer survivorship. So based on the definition by the National Cancer Institute, cancer survivorship refers to the phase of life following the diagnosed cancer. And nowadays, it's estimated about 80 million American individuals are living after being diagnosed with cancer. And this number is projected to rise to 26 million by 2040. Dr. Shannon Westin: Wow. So obviously, any research that we can do in this population is going to be so important as that number absolutely continues to grow. And before we get into the specifics of your work, I'd love for you to speak a little bit about the importance of functional disability, which is what we studied in this work and why it might be observed in cancer survivors. Dr. Cao: Yeah, sure. So, maintaining physical function is fundamental to perform life tasks and engage in fruitful jobs. In terms of cancer survivors, many cancer survivors experience side effects from cancer and its treatment. These side effects, include the pain, fatigue, and musculoskeletal dysfunction, which can induce physical limitation and eventually physical disability. And specifically, this is such a burden for the US, social, societal and economic burden. Here I have the specific number: so in 2019, an estimate of over 100,000 people living with and beyond cancer were unable to work and they received a Social Security Administration disability benefit with the resulting cost of US$1.8 billion in disability claims. Dr. Shannon Westin: Wow. We always think about the impact on the survivor, on their family, but I think it's also really important to look at those other objective data about the impact on society as a whole. Thank you, that was great detail. Do we know anything about who might be proportionately more affected by cancer induced physical impairments and disabilities? Dr. Cao: Actually, this is our key question for our manuscript, but before we developed our hypothesis, we also looked at the data from the general population. So we observed that visual minorities and underserved populations, such as people with lower socioeconomic status and living in the rural area, and also those with unhealthy types of behavior, for example, smoking, obesity, and physical inactivity, are more likely to have physical limitations and disabilities. And also the comorbidity in cancer survival, such as diabetes, cardiovascular disease, also increase the likelihood of physical disability. We also have cancer survivors, particularly for cancer patients who are currently receiving cancer treatment, for example, chemotherapy and radiation therapy, they also are more likely to report side effects from the treatment, also have the reduced physical function. So we also think the cancer patients during the treatment also have a higher likely chance to have physical disability. Dr. Shannon Westin: Absolutely. That makes sense, and that really dovetails nicely into the objective of your study. We'd love for you to briefly summarize your objective and the methods you employed to achieve that goal. Dr. Cao: Yeah, sure. We used the six-year data, 2017 to 2022 from the Behavioral Risk Factor Surveillance System to investigate problems and factors of functional disability in over 47,000 cancer survivors and 2.4 million adults without cancer diagnosis aged 80 years and older. And we specifically focused on two types of functional disability. The first one is mobility disability, which is defined as self reported severe difficulty walking or climbing stairs. And also another one is self care disability, which is defined as self reported difficulty dressing or bathing. And also we examined the factors, for example, social demographic characteristics, lapse of behavior, and health related factors, and some cancer related factors, how these factors related to the functional disability. Dr. Shannon Westin: Okay, great. So before we get into your findings, I'd love to hear just a little bit more about the BRFSS, the Behavioral Risk Factor Surveillance System. Why did you choose data from this survey for your study? Dr. Cao: This is a very key question, because nowadays there are no specific cohort studies for cancer survivors. And also actually, in the population based study, there is no field data specifically for the cancer survivor. But fortunately, in the United States, the CDC conducted several nationally representative surveys to examine the health status of the people living in the United States. So we used the data from the Behavioral Risk Factor Survival System, we also called BRFSS. So BRFSS is a nationwide telephone based survey conducted by the CDC and it collects information on health related risk factors and chronic micro conditions among the US adults aged 80 years or older. And specifically for our papers, because recently, the BRFSS also added a section on the cancer survivorship, which included a lot of the variables on cancer, diagnosed cancer type, and also cancer related factor symptoms, for example, the cancer or cancer treatment related pain. So we used this data to realize our idea. Dr. Shannon Westin: Okay, great. So let's start with what you found in regards to the first aspect with mobility disability. Dr. Cao: First, we observed the problems of mobility stability are much higher in cancer survivors than non-cancer adults. And also among cancer survivors, more than 25% of cancer survivors reported mobility disability. We also observe the prevalence of mobility disability is much higher in racial minority groups and underserved populations and those with unhealthy behavior and medical conditions. Dr. Shannon Westin: In addition to the underrepresented minorities, were there any other kind of socioeconomic, demographic factors associated with high prevalence of mobility disability? Dr. Cao: Yes, the factors like lower level of education, income, being unmarried, and living in non metropolitan areas were associated with higher prevalence of mobility disability. And also, I forgot to mention another factor is cancer related factors. We're also including several cancer related factors such as cancer and cancer related pain. So we also observed a higher prevalence of the mobility disability in people, in cancer survivors with cancer and cancer related pain. We also see the prevalence of the mobility disability is much higher in the patients who are currently receiving the cancer treatment than those who already completed the cancer treatment. Dr. Shannon Westin: Yeah, that makes a lot of sense. And to that end, with regards to treatment, were there any cancer specific patterns of mobility disability? Dr. Cao: Yeah, and also, I think this is another strength of our study, because the BRFSS high sample size, which clearly evaluates the mobility disability in over 47,000 cancer survivors, which allowed us to do the cancer specific part of mobility disability. We observed that the survivors of lung cancer and brain cancer and bone cancer have the highest prevalence of mobility disability. And interestingly, we also observed that the women with cancers also had, for example, ovary, cervical cancer survivors also have higher problems of mobility disability. Probably you know, better than me, and I just tell the data. Dr. Shannon Westin: Well, it’s interesting, I was thinking, it seems like we have a lot, but I have no, obviously, frame of reference with other cancer types. So it's intriguing to me that that's definitely what we see in our clinic. So I'm intrigued to understand more about this. But before we get into the next steps and that type of thing, I do want to make sure we touch on that other aspect that you looked at, the self care disability and give the listeners a little bit of an idea of what you found there? Dr. Cao: The self care disability is kind of the more severe of the functional disability, which means, we say candidates, lower prevalence compared to the mobility disability, but still the patterns or factors associated with self care disability are much similar with mobility disability. An interesting finding is that in terms of the mobility disability, we find that older survivors are more likely to report mobility disability than younger survivors. In contrast, in terms of the self care disability, younger survivors are more likely to report than the older cancer survivors. Dr. Shannon Westin: You've touched a little bit on some of the socioeconomic and demographic factors that were different with self care disability. Was there anything else that really caught your eye? Cancer specific factors or anything else like that? Dr. Cao: Yeah, besides this, I think also we observe that women are more likely to report self care disability. I think also this is driven by the cancer specific, particularly the woman cancers have a higher prevalence of the self care disability. Dr. Shannon Westin: Well, it's definitely something for me to take back to my clinic. Now that you've covered all these results, how are your data compared to existing literature in this area? Dr. Cao: Yeah, we have tended to do comprehensive literature reviews. When we discuss our results and compare it with existing literature, our result is quite aligned with previous literature and particularly we clearly see the racial ethnic minority have a higher prevalence of physical limitation and physical function decline. But our paper focused on the physical disability which is much more severe than the physical function. And also we also looked at another study conducted in Australia, we quite find very similar results even for cancer specific patterns of the functional disability. Dr. Shannon Westin: I guess the next question I have is was there anything that surprised you about your results? Dr. Cao: I just mentioned that what surprised me the most is that the older people are more likely to report the mobility disability, but the younger people are more likely to report self care disability. Our data don't support or explore why this happened and what's the etiology behind this. But our hypothesis is that the younger cancer survivor, younger cancer patients are more likely to receive the aggressive treatment that can play a significant role in the functional outcome. Dr. Shannon Westin: Yeah, it sounds like that's definitely an area of unmet need for more research. But I like your hypothesis. I do wonder if that's somewhat related. And I guess that leads us to our final question. What are your next steps and how can I potentially use this in practice? How can our listeners employ these findings in their practice? What do you recommend? Dr. Cao: I think our findings highlight the importance of screening for functional limitations at the baseline and throughout the cancer treatment and even the cancer survivorship. Oncology providers also should encourage patients to be physically active. And also American Society of Clinical Oncology and also American College of Sports Medicine recommend that regular exercise during the treatment can help cancer patients preserve their fitness and reduce the incidence and the severity of the cancer related disability. And also providers can provide referral to rehabilitation services and support groups for additional care. For the next step, our finding highlights the importance of developing ways to limit the long term side effects of cancer treatment both during and after treatment to preserve fixed function and prevent disability. Particularly, target intervention should in particular address special needs in vulnerable populations, including the racial ethnic minorities and those living in the rural areas to improve their quality of life during a long term survivorship. And also due to the advance in the technologies, now we want to see whether wearable sensors, wearable devices can be a novel tool to monitor their physical functions during the treatment because better monitors can lead into their better treatment and their prevention. Dr. Shannon Westin: That's great. Yeah, what a great way to end. I think that exercise clearly is key not only for preventing these issues, but also we know that it potentially can even improve response to therapy and recurrence free survival. So I think lots of reasons to be focusing on physical activity in our clinics and ensuring our patients and our cancer survivors are really participating in those types of activities. Well, Dr. Cao, it was such a pleasure. I cannot believe you are only a research fellow. I can't wait to see where your career takes you. Congratulations on this great work. Dr. Cao: Thank you. Thank you for this great opportunity to share my work and I look forward for my future work in the field. Dr. Shannon Westin: Oh, yeah. So you guys, if you're looking for somebody to come and push the boundaries of functional disability and activity, you know where to look. And again, thank you all our listeners for tuning in to another episode of JCO After Hours. Again, we were discussing, Original research published in the , April 4th, 2024. So if you're looking for more podcast offerings, check out other offerings wherever you get your podcasts. Have an awesome day. The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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CAR T-Cell Therapy for Richter’s Transformation
06/24/2024
CAR T-Cell Therapy for Richter’s Transformation
In this JCO Article Insights episode, Alexandra Rojek provides a summary on by Kittai, et al published in the Journal of Clinical Oncology March 29th, 2024. TRANSCRIPT The guest on this podcast episode has no disclosures to declare. Alexandra Rojek: Hello and welcome to JCO Article Insights. I'm your host, Alexandra Rojek, and today we will be discussing an original report published in the June 10th issue of JCO titled, “Anti-CD19 Chimeric Antigen Receptor T-Cell Therapy for Richter Transformation: An International, Multicenter, Retrospective Study,” by Kittai et al. This report addresses the real world efficacy of CAR T-cell therapy for patients with Richter transformation of CLL to large B cell lymphoma, which represents a high risk group of patients with an unmet need for novel and more effective therapeutic agents than are currently available. Richter's represents the transformation of chronic lymphocytic leukemia, or CLL, to an aggressive lymphoma, most often a large B cell lymphoma, most similar to diffuse large B cell lymphoma or DLBCL. Treatment for Richters is often modeled after treatment practices for DLBCL. However, there's no clear standard of care and outcomes for these patients lag behind those of large B cell lymphoma patients otherwise. An important advance in recent years in the DLBCL field is the approval of anti CD19 CAR T-cell therapy in the second and third line settings. However, patients with Richter transformation were largely excluded from these pivotal trials. This study in JCO thus set out to address what the real world outcomes were for patients with Richters who were treated with CAR T-cell therapy across 12 centers internationally. The study included 69 patients across these twelve sites, with a median age of 63 years at diagnosis of Richters and a median of six years after initial CLL diagnosis. Included patients received a median of four prior lines of therapy for either CLL or Richters, with a median of two prior lines of therapy for Richters, although two patients had not received any prior therapy for their Richter transformation. The most recent prior treatments included chemoimmunotherapy in 29% of patients, followed by BTK inhibitors in 19%, as well as combinations of BTK inhibitors and BCL2 inhibitors in 12%. 17% of patients had not received prior therapy for their CLL before their diagnosis with Richters, 58% of cases had known TP53 mutations at time of transformation, and 41% exhibited deletion 17p by FISH. Prior to receiving CAR T-cell therapy, 86% of patients required additional bridging therapy, most commonly with a BTK inhibitor or chemoimmunotherapy. A diverse set of commercial CAR T-cell products were represented in this study, with the majority of patients at 64% receiving axi-cel, 25% receiving tisa-cel, 10% receiving liso-cel, and one patient received brexu-cel in an investigational setting. Median time from apheresis to CAR T infusion was 34 days, and 59% of patients continued on a BTK inhibitor throughout CAR T-cell therapy. When we move on to look at responses, 66 out of 69 patients were available for response. Three patients died related to adverse events after infusion and before response assessment, with the best overall response of complete response or CR in 46% of patients and partial response or PR in 17% for an overall response rate of 63%. With a median follow up time of 24 months, the median PFS in the study was 4.7 months and the median OS was 8.5 months. For those who achieved a CR, the median duration of response was an impressive 27 months, and for those achieving PR, the median duration of response was only two months. The two year PFS rate was thus 28%, and the two year OS rate was 38%. Four patients who achieved a CR went on to receive an allogeneic stem cell transplant. Among those whose disease progressed, 8% had relapse involving the CNS, compared to 10% of patients having CNS involvement prior to CAR T in this study population. The authors were also able to look at minimal residual disease, or MRD testing for CLL in a subset of 27 patients in this study. MRD was undetectable by PCR or flow in either blood or bone marrow in 81% of these 27 patients. However, not all of these patients had paired pre and post CAR T samples available for comparison, thus limiting more detailed interpretation. In an analysis of risk factors linked to adverse outcomes, the study authors found in a multivariable analysis for overall survival that a greater number of prior lines of therapy for Richters, a higher Ki-67 proliferation index, and a higher baseline LDH and CRP were all associated with shorter OS. They did not find an association between patterns of BTK inhibitor use, whether prior to apheresis, as a part of bridging, or concurrent with CAR T-cell therapy, to be associated with either PFS or OS. In evaluating rates of toxicities for patients with Richters treated with CAR T, the authors find that grade 3 or higher cytokine release syndrome or CRS occurred in 16% of patients and grade 3 or higher neurotoxicity or ICANS occurred in 37%. They did not find any baseline features associated with higher risk of severe CRS, however, did find that prior venetoclax exposure was associated with severe ICANS. Overall, the authors find that CAR T-cell therapy is a feasible and effective therapy for Richter transformation of CLL to large B cell lymphoma, thus contributing data to support this additional therapeutic option in a high risk patient population with unmet therapeutic needs. While the PFS and OS rates are lower than those of their large B cell lymphoma counterparts, overall response rate of 63% and particularly the CR rate of 46% with a duration of response of 27 months for this group is quite promising. Those who achieved less than a CR had a much shorter duration of response and progressed quickly, and overall, the median overall survival of the whole study population is only over eight months, which reflects the high risk and poor outcome nature of treatment for Richters with currently available therapies. As the authors discuss, it is likely that the efficacy of CAR T-cell therapy is somewhat overstated in their results by virtue of not being able to include patients who were intended for CAR T-cell therapy but could not receive it in this retrospective study. This represents one of the many real world challenges patients and clinicians treating Richters face. However, the promising results for those who were able to receive CAR T-cell therapy represent a path forward for future investigations for Richters patients. One of the avenues of future pursuit is the addition of BTK inhibitors to CAR T-cell therapy. A subset of patients included in this study received BTK inhibitors for CLL before, during, and after CAR T-cell therapy, and although limited by subgroup analysis and statistical power constraints, this study's authors did not find a difference in outcomes for those who received BTK inhibitors in these settings. Toxicities with severe CRS and ICANS were higher than rates reported in large B cell lymphoma CAR T trials. However, as the authors note, these were comparable to the study of liso-cel toxicity in CLL patients. Higher rates of infection related deaths were also noted compared to large B cell lymphoma patient counterparts, however, in line with comparable CLL patient studies and thus likely related to the unique biology of Richters arising from CLL rather than de novo large B cell lymphoma. In summary, this important work evaluating the outcomes of patients with Richter's transformation treated with anti CD19 CAR T-cell therapy in the commercial setting provides important evidence as to the efficacy of this therapy among patients with an unmet need for efficacious and novel therapies to improve outcomes. As this group of patients is often excluded from clinical trials, this data is particularly important and should drive forward future studies focusing on and or including patients with Richters, given the benefits seen for a subset of patients who achieve a response in the study. While the antecedent CLL distinguishes Richters from de novo large B cell lymphoma biologically along with differences in prior treatment regimens, this study in JCO suggests that future strategies targeting improving baseline disease factors prior to CAR T-cell therapy, including successfully bridging patients to CAR T, reducing risk of CRS and ICANS with treatment, and improving long term efficacy after CAR T with novel constructs, and CAR design, may all be promising next steps in the advancement of CAR T-cell therapy for patients with Richter transformation. This is Alexandra Rojek. Thank you for listening to JCO Article Insights. Don't forget to give us a rating or review, and be sure to subscribe so you never miss an episode. You can find all ASCO shows at . The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement.
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EAZ171: Predictors of TIPN in Black Women with Breast Cancer
06/03/2024
EAZ171: Predictors of TIPN in Black Women with Breast Cancer
Dr. Shannon Westin and her guest, Dr. Bryan Schneider discuss the article “” recently published in the JCO and presented at the 2024 ASCO Annual Meeting. TRANSCRIPT The guest on this podcast episode has no disclosures to declare. Shannon Westin: Hello, everyone, and welcome to another episode of , the podcast where we get in depth on manuscripts published in the . I am your host, , GYN Oncology Extraordinaire and also the Social Media Editor of the Journal of Clinical Oncology. And it is my great pleasure to present some really incredible work today that is going to be a dual publication in the and a presentation at the on Monday, June 3. And this is the And I am joined today by the senior author on the presentation and the primary author on the manuscript, Dr. Bryan Schneider. He is the Vera Bradley Professor of Oncology, the Professor of Medicine and Medical Molecular Genetics at the Indiana University Melvin and Bren Simon Comprehensive Cancer Center in Indianapolis. Welcome, Dr. Schneider. Dr. Bryan Schneider: Dr. Westin, thank you for having me on today. Shannon Westin: We're so excited and we're really excited to really summarize this incredible work that's being presented today. So, first, let's just levelset. Can you speak a little bit about peripheral neuropathy and the most common causes in patients with cancer? Dr. Bryan Schneider: Yeah, I mean, I think for those of us who treat patients using the taxanes, we recognize probably one of the most important and common side effects that we deal with is peripheral neuropathy, and one that can, I think, impact both quality of life, but also impacts the ability to maintain dose intensity. When we think about risk factors for neuropathy, historically, I think obesity has been reported as a potential risk factor, as has diabetes and other conditions which put people at risk for neuropathy. Shannon Westin: And prior to your work that you'll discuss with us today, what do we know about the incidence of peripheral neuropathy in patients that identify as black? Dr. Bryan Schneider: Yeah. So, interestingly, I think we've recognized that patients who self identify as black have disparate outcomes in terms of inferior survival and more aggressive subtypes of breast cancer, like triple negative breast cancer. But I think the idea of toxicity being a disparate factor as well is probably a more recent one. Interestingly, as we set out to identify biomarkers to predict outcomes in the large adjuvant trial E5103, we weren't really setting out to look at this by race. We were using at that time, genome-wide approaches to identify biomarkers for toxicity and also efficacy. But what was interesting as we did that one of the most important predictors, as we looked across a number of important toxicities, was ancestry. And really the science spoke to us, it was very clear that patients of African ancestry had higher rates of bev-induced hypertension, anthracycline-induced cardiomyopathies and also peripheral neuropathy. Shannon Westin: That's so interesting. We have so much overlap in gynecologic oncology and breast cancer. And I don't know that I've ever seen work like this. And now it's making me very intrigued and making me want to move forward to that. Can you talk a little bit more about this ECOG-ACRIN E5103, like briefly about the study and what it demonstrated specifically? Dr. Bryan Schneider: Yeah. So E5103 was an adjuvant breast cancer trial that really set out to look at the impact of bevacizumab in the curative setting. This was a 5000 patient trial that randomized patients the standard backbone of chemotherapy. So everyone received four cycles of doxorubicin and cyclophosphamide, followed by weekly paclitaxel, and then with or without the addition of bevacizumab. So the parent clinical trial showed, as we know now, bevacizumab didn't add benefit, but certainly this was a fertile ground for us to use genomic markers to try to identify a number of other important factors and predictors. Shannon Westin: And what did you find genomically in that study that led to kind of where we are now? Dr. Bryan Schneider: Initially, what we found is that ancestry was a major predictor of neuropathy. And in that trial we saw essentially a doubling of the risk of grade 2 and above and a doubling of the risk of grade 3 and above neuropathy. When we then looked comprehensively across the genome for common variants that might put patients at risk for neuropathy, we had enough patients in the black population to identify some markers that seemed to differentially predict the risk of neuropathy in the patients of African ancestry. So there we found a variant in the gene FCAMR, which appeared to be protected from neuropathy, and FCAMR is known to have an immune modulatory effect. But importantly, we also found that rare variants, so we did this using an exome wide approach in a gene called SPF2, predicted an increased risk of neuropathy. Now, interestingly, that gene SPF2 is also thought to contribute to a hereditary form of neuropathy, Charcot-Marie-Tooth. Here, what we found, obviously, is that if you inherit two of these variants, you probably have a hereditary neuropathy, but if you inherit one, you may not have neuropathy at baseline, but if exposed to a neurotoxin, much more predisposed to that event. Shannon Westin: That is so intriguing and makes so much physiologic sense. So, can you talk a little bit about how that led to the development of the current study, the objectives design, that type of thing? Dr. Bryan Schneider: Yeah. I think, overarching question and concern is, and we see this with all clinical trials in the United States, is that we're seeing disparate outcomes in a population that are largely underrepresented in our clinical trials. And so one of the first things we wanted to do was really focus on the population that was being disparately affected. So EAZ171 was set out to accrue patients, and in fact, only accrue patients who were self described as a Bck race or African American. So the goal of this trial then was to see if, number one, we could further predict which patients were going to get neuropathy based on our germline genotyping, and then also to better personalize the type of taxane based, again on genomics, but also on the risk of dose reductions, risk of neuropathy, impact on financial toxicity, quality of life, and a number of other, what we felt to be, important clinical variables. Shannon Westin: So let's get into the details. What did you find regarding the incidence of neuropathy in the study, and how was it impacted by the type of chemotherapy the patient received? Dr. Bryan Schneider: Yeah. So the starting point, the primary objective of that study, was to try to validate a high and low risk composite score for neuropathy. And the trial was negative, meaning our genotypes did not predict significantly differences based on the germline genotyping. Now, interestingly, the genotyping did numerically separate, meaning those in the high risk category had about a 12% higher risk of neuropathy, but this did not meet statistical significance. Another major or key secondary endpoint, though, was to look at the type of taxane and its impact in this population. And indeed, what we found is that patients who received paclitaxel had a markedly and statistically significantly higher risk of both grade 2 and above and grade 3 and above peripheral neuropathy. And in addition, we saw more dose reductions, both because of TIPN and all causes in the paclitaxel arm. Shannon Westin: So why do you think you were unable to validate the genomic predictors in the current study? Dr. Bryan Schneider: This is an incredibly important question. So, number one, I mean, we were happy to see the directionality of our preliminary data be correct. But I do think that neuropathy is a very complicated toxicity, and it's probably a multigenic effect, and it probably is also impacted a lot by a variety of clinical factors. So some of the future work we'll be doing is looking at polygenic risk scores and other known genes that may be impactful, and also melding that with a number of really important clinical variables, because I still think we have the potential to predict this ahead of time. Shannon Westin: I know that this was such a patient driven topic, really focused on the patient experience and how to improve not only survival outcomes, but also toxicities and quality of life. Can you speak a little bit about the role of patients in the design of this trial, and maybe with helping it be as successful as it was with accrual? Dr. Bryan Schneider: Yeah. This has truly been one of the most exciting projects I've ever embarked on, and largely because of the incredible team atmosphere and contributions by so many people. Real thanks to the late Worta McCaskill-Stevens and also the late Edith Mitchell, who were two really fundamental disparities experts who really helped motor this trial to where it was. And also our patient advocates and the community at large really were part of the design and part of this from the very beginning, all the way through the publication, I think, have made it a clinically relevant study, and one that I think we're all very proud of. Shannon Westin: Is paclitaxel typically, what is the go-to? Or are more people using, let's say, docetaxel? Dr. Bryan Schneider: I think it depends a little bit on the disease setting and type. And again, is a function of historical clinical trials. One of the pivotal trials, E1199, actually compared a number of these. So it compared weekly paclitaxel to every three week paclitaxel to weekly docetaxel to every three week docetaxel in a two by two design. And essentially the conclusion there is that weekly paclitaxel and every three week docetaxel both outperformed what at the time was a standard of care, every three week paclitaxel. Now, weekly paclitaxel, at least through ECOG-ACRIN, has been adopted as kind of the standard reference therapy and schedule of choice, but largely because of the side effect profile. And again, this is based predominantly on white patients, where the tolerability is much better. Shannon Westin: Well, I mean, I think that this leads to really great information around how we're designing these trials and how we're potentially making those differences. What are your next steps here? Dr. Bryan Schneider: So I think one of the things this clinical trial did was first validate that we do see high rates of peripheral neuropathy in Black patients with breast cancer. This was a prospective study using both physician and patient adjudicated variables. So I think this is a really nice validation that this is a problem in this population. I think it also shows us that docetaxel is probably a more tolerable drug for black patients with breast cancer. The goal, though, I think in our future work, is really going to try to bring equity in terms of outcome and side effects. So we're working with ECOG-ACRIN now on our second trial, where really the primary endpoint is going to be to nullify the disparities and try to bring equity in terms of toxicity. One of the other pieces of work we're really excited about is we're doing some ex vivo work. So from patients in EAZ171, we have a blood stick where we're taking white blood cells and differentiating those into peripheral neurons. And here we're hoping to look at really important changes in both gene expression and epigenetics that might lead us to a little bit deeper understanding of the mechanism of the disparities in neuropathy, maybe what's causing some of the neuropathy. And we hope ultimately, these may lead to nice drug targets to help prevent or treat neuropathy down the road. Shannon Westin: Those are some really great ideas. The other thing that really caught my eye around your findings was what you all found regarding the physician reported and patient reported toxicity. I'd love for you to summarize that, because I think that's always a concern as well. Dr. Bryan Schneider: Historically, I think we recognize that physicians probably underreport side effects. And so we felt, and our team felt, that having patient reported outcomes would be a really critical piece to this study. What was fairly astonishing to me, if you look at the CTCAE, both patient and physician reported outcomes, they were actually pretty similar. And I think what this is a testament to is if physicians are actually thinking about the side effect, they do a pretty good job of predicting it. Now, one thing we're looking very forward to is that we have a long term follow up out to three years. So it'll be interesting to see if physicians continue to pay close attention to neuropathy, because I know the patients will be. So we'll be looking at the discordance at these longer term follow up time points as well. Shannon Westin: Well, great. This is such incredible work, and I’m like literally taking notes to get in touch with people I know that do this type of work and gynecological malignancies because I think that this is going to have far reaching consequences. So just thank you so much for taking the time to review this and congratulations on the JCO publication and ASCO presentation. It's very well deserved. Dr. Bryan Schneider: Thank you Dr. Westin. Shannon Westin: And thank you to all of our listeners. Again, we have been discussing the “.” We're so grateful you joined us, and please do check out our other offerings wherever you get your podcasts. Have an awesome day. The purpose of this podcast is to educate and to inform. This is not a substitute for professional medical care and is not intended for use in the diagnosis or treatment of individual conditions. Guests on this podcast express their own opinions, experience, and conclusions. Guest statements on the podcast do not express the opinions of ASCO. The mention of any product, service, organization, activity, or therapy should not be construed as an ASCO endorsement. Disclosures Research Funding Company name: Genentech/Roche Company name: Pfizer Company name: Foundation Medicine
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