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JCO Precision Oncology Conversations

Podcast JCO Precision Oncology Conversations
American Society of Clinical Oncology (ASCO)
JCO Precision Oncology Conversations is a monthly podcast featuring conversations with authors of clinically relevant and significant articles published in the ...

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  • ctDNA as a Prognostic Biomarker in EGC
    In this JCO PO Article Insights episode, Harold Nathan Tan summarizes findings from the JCO PO article, “Circulating Tumor DNA as a Prognostic Biomarker for Recurrence in Patients With Locoregional Esophagogastric Cancers With a Pathologic Complete Response.” TRANSCRIPT Harold Nathan Tan: Welcome to JCO Precision Oncology Article Insights where we explore cutting-edge discoveries in the world of cancer treatment and research. I'm Harold Nathan Tan, your host for today's episode. Let's dive into a fascinating study published in JCO Precision Oncology entitled, “Circulating Tumor DNA as a Prognostic Biomarker for Recurrence in Patients With Locoregional Esophagogastric Cancers With a Pathologic Complete Response.” This study led by Dr. Eric Michael Lander and colleagues examines a critical question: Can circulating tumor DNA help predict recurrence in patients with esophagogastric cancer who have achieved a favorable pathologic response after treatment? Esophagogastric cancer ranks as the seventh leading cause of cancer-related deaths worldwide. Despite aggressive treatment including neoadjuvant therapy followed by surgery, recurrence remains a grim reality for many patients. Interestingly, even those who achieve a pathologic complete response face a recurrence risk of up to 25%. This highlights a need for better tools to identify high-risk patients post-treatment. Circulating tumor DNA, or ctDNA for short, is emerging as a powerful biomarker in oncology. This minimally invasive blood-based test detects fragments of tumor DNA in the bloodstream, potentially signaling molecular residual disease before any radiographic evidence of recurrence appears. In this study, researchers focused on patients with locoregional esophagogastric cancer who had undergone neoadjuvant therapy followed by surgery, achieving either a complete or near complete pathologic response. Blood samples were collected postoperatively within a 16-week molecular residual disease window and during routine surveillance. The aim is to determine whether ctDNA positivity correlates with recurrence-free survival. The study analyzed 309 plasma samples from 42 patients across 11 institutions. Detectable ctDNA within the 16-week postoperative window was associated with a significantly higher recurrence risk. Among those with detectable ctDNA, 67% experienced recurrence compared to only 15% for those with undetectable ctDNA. This corresponds to a hazard ratio of 6.2, an alarming figure that underscores the potential for ctDNA as a prognostic tool. But the story doesn't end there. Postoperative surveillance ctDNA testing more than 16 weeks after surgery also proved to be a powerful prognostic indicator. Every patient with detectable ctDNA during surveillance eventually experienced recurrence, while only 7.4% of those with undetectable ctDNA relapse. These findings suggest that ctDNA testing could provide a critical lead time, enabling earlier interventions and personalized treatment strategies. Now let's talk about the clinical implications. Currently, patients who achieve a pathologic complete response often aren't considered for adjuvant therapies as the absence of visible disease is taken as a sign of remission. However, this study challenges that assumption. By integrating ctDNA testing into routine post-treatment surveillance, clinicians could identify high-risk patients who might benefit from additional therapy even when traditional imaging shows no signs of recurrence. This brings us to the bigger picture. Esophagogastric cancer treatment is evolving rapidly, with trials like CheckMate 577 and ESOPEC offering new insights into perioperative strategies. However, this study highlights a critical gap, the need for personalized, biomarker-driven approaches in the adjuvant setting. ctDNA could fill that gap, offering a non-invasive, dynamic way to monitor patients and guide clinical decisions. Of course, no study is without its limitations. The authors acknowledge the relatively small sample size and the retrospective nature of their analysis. They also note the variability in ctDNA testing and imaging schedules across institutions. However, the robust association between ctDNA positivity and recurrence-free survival makes a compelling case for further research in larger prospective cohorts. Looking ahead, what's the next step? The authors call for prospective validation of ctDNA as a prognostic tool, emphasizing its potential to refine risk stratification and optimize treatment strategies. Imagine a future where a simple blood test could dictate not only the need for additional therapies, but also the timing and type of intervention. As we wrap up, let's reflect on the broader impact of the study. By integrating ctDNA into routine cancer care, we could move closer to a world where treatments are not just effective, but also precisely tailored to each patient's unique biology and disease dynamics. Thank you for tuning into JCO Precision Oncology Article Insights. Don't forget to subscribe and join us next time as we explore more groundbreaking research shaping the future of oncology. Until then, stay informed and stay inspired.   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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  • Proteomics Predictor for Immunotherapy Benefit
    JCO PO author Dr. David R. Gandara at UC Davis Comprehensive Cancer Center, shares insights into his JCO PO article, “Plasma Proteome–Based Test for First-Line Treatment Selection in Metastatic Non–Small Cell Lung Cancer,” one of the Top Articles of 2024. Host Dr. Rafeh Naqash and Dr. Gandara discuss how the PROphet® blood test supports first-line immunotherapy treatment decisions for metastatic NSCLC patients. TRANSCRIPT  Dr. Rafeh Naqash: Hello and welcome to JCO Precision Oncology Conversations where we bring you engaging conversations with authors of clinically relevant and highly significant JCOPO articles. I'm your host, Dr. Rafeh Naqash, Podcast Editor for JCO Precision Oncology and Assistant Professor at the OU Health Stephenson Cancer Center at the University of Oklahoma.  Today, we are absolutely thrilled to be joined by Dr. David R. Gandara, Professor of Medicine Emeritus, Co-Director of the Center for Experimental Therapeutics and Cancer and Senior Advisor to the Director at UC Davis Comprehensive Cancer Center and also the senior author of the JCO Precision Oncology article entitled “Plasma Proteome–Based Test for First-Line Treatment Selection in Metastatic Non–Small Cell Lung Cancer.” This was one of the top performing articles of 2024, which is one of the reasons why we wanted to bring it in for a podcast discussion. At the time of this recording, our guest’s disclosures will be linked in the transcript.  David, it is an absolute pleasure to have you today. For somebody like you who's led the field of lung cancer over the years, I'm really excited that you are going to be talking to us about this very interesting article, especially given that I think you're one of the big proponents of liquid biopsies and plasma-based testing. So, for the sake of our listeners - which comprises of academic oncologists, community oncologists, trainees - could you tell us where the biomarker landscape for non-small cell lung cancer is currently, and then we can try to take a deeper dive into this article. Dr. David Gandar: Okay. Well, thank you, Rafeh. It's a pleasure to be with you here today. And I think the current landscape for biomarkers for immunotherapy in non-small cell lung cancer is a mess. There's no better way to describe it. That makes this paper describing a new plasma proteomic assay even more important. So I'll just give you a perspective. There are 14 trials, phase three trials, that were done in first line non-small cell lung cancer advanced stage of immunotherapy versus chemotherapy and some other aspects, although they vary tremendously. Some of them were checkpoint monotherapy, some combined with chemotherapy, some combined with CTLA-4 inhibitors and so forth. 12 out of the 14 were positive, 12 got FDA approval. So there are 12 different options that an oncologist could use. Some of them were squamous cell only, some non-squamous, some used PD-L1 as a biomarker driven part of the study. Some used TMB, tumor mutational burden, some were agnostic. So when you put all of this together, an oncologist can pick and choose among all these various regimens. And by and large, it's PD-L1 that is the therapeutic decision maker.  ASCO actually, I think, has done the very best job of making a guideline, and it's, as you well know, called a living guideline, it's dynamic. And it is much easier to interpret, for me and I think for oncologists, than some of the other guidelines. It's got a green light and a red light, it may be kind of orange. And so the green light means this is a strong recommendation by the guideline committee. The orange means it's weak. For this purpose, non-small cell lung cancer, advanced stage, only a very few of the recommendations were green. It's mainly monotherapy and patients with cancers with a PD-L1 over 50%. In our surveys, at our meetings, less than 50% of oncologists in the United States are following these guidelines. Why? Because they don't trust the biomarker. And TMB has the same sort of limitations. They're not bad biomarkers, they're incomplete. They're only looking at a part of the story. So that means we need a new biomarker. And this is one that, I think, the data are quite impressive and we'll discuss it more. Dr. Rafeh Naqash: Absolutely. Like you said, abundance of many therapy options, but not necessarily everything works the same in different subsets of PD-L1 positivity or different subsets of patients with different levels of tumor burden. And like you said, again, difficulty in trying to identify the right biomarker. And that's a nice segue to this PROphet test that you guys ran. So can you tell us a little bit about the plasma proteomic assay? Because to the best of my knowledge, there's not a lot of validated plasma proteomic assays. A lot has been done on the tumor tissue side as far as biomarkers are concerned, but not much on the blood side, except for maybe ctDNA MRD testing. So what was the background for trying to develop a plasma-based proteomic test? And then how did this idea of testing it in the lung cancer setting come into play? And then we can go into the patient population specifics, the cohort that you guys have. Dr. David Gandara: Okay. Well, of course there's a company behind this assay, it's called OncoHost, and I'm a consultant for them. And they came to me two years ago and they said, “We have something different from anyone else.” And they explained the science to me, as well as some other lung cancer experts here in the United States. I'm not a proteomic expert, of course, but they developed an AI machine learning platform to assess plasma proteins in normal people and in people with cancer, and specifically then in people with non-small cell lung cancer. They identified over 7,000 proteins that had cancer implications for therapy, for resistance, for prognosis, etc., and they categorized them based on the literature, TCGA data, etc., and used this machine learning process to figure out which proteins might be most specific for non-small cell lung cancer. And that's where they started. And so out of that 7,000 proteins, where they've identified which ones are angiogenic, which ones are involved with EMT or cell cycle or whatever it might be, they distilled it down to 388 proteins which they thought were worth testing in non-small cell lung cancer. And that's when I became involved.  They had a retrospective cohort of patients that had been treated with various immunotherapies. They looked at the analytic validation first, then applied it to this cohort. It looked good. Then they had a very large cohort, which they split, as you usually do with an assay, into a test set and then a validation set. For the test set, they wanted something more than a response. They wanted some indicator of long term benefit because that's where immunotherapy differentiates itself from chemotherapy and even targeted therapy. And so they picked PFS at 12 months. And I became involved at that point and it looked really good. I mean, if you look at the figures in the manuscript, the AUC is superb about their prediction and then what actually happened in the patient. And then in this paper, we applied it to a validation set of over 500 patients in a prospective trial, not randomized, it's called an observational trial. The investigator got to pick what they thought was the best therapy for that patient. And then in a blinded fashion, the proteomic assay experts did the analysis and applied it to the group.  And so what that means is some of the patients got chemotherapy alone, some got checkpoint immunotherapy monotherapy, some got in combination with chemotherapy. None of the patients in this study got a CTLA-4 inhibitor. That work is ongoing now. But what the study showed was that this assay can be used together with PD-L1 as what I would call a composite biomarker. You take the two together and it informs the oncologist about the meaning of that PD-L1. I'll give you an example. If that patient has a PD-L1 over 50% in their cancer and yet the PROphet test is negative, meaning less than 5 - it's a 0 to 10 scale - that patient for survival is better served by getting chemotherapy and immunotherapy. However, if the PROphet test is positive and the PD-L1 is over 50%, then the survival curves really look equivalent. As I said earlier, even in that group of patients, a lot of oncologists are reluctant to give them monotherapy. So if you have a test and the same sort of example is true for PD-L1 0, that you can differentiate. So this can really help inform the oncologist about what direction to go. And of course then you use your clinical judgment, you look at what you think of as the aggressiveness of the tumor or their liver metastases, etc. So again, that's how this test is being used for non-small cell lung cancer. And maybe I'll stop there and then I'll come back and add some other points. Dr. Rafeh Naqash: I definitely like your analogy of this therapy de-escalation strategy. Like you mentioned for PD-L1 high where the PROphet test is negative, then perhaps you could just go with immunotherapy alone. In fact, interestingly enough, I was invited to a talk at SITC a couple of weeks back and this exact figure that you're referring to was one of the figures in my slide deck. And it happened by chance that I realized that we were doing a podcast on the same paper today.  So I guess from a provocative question standpoint, when you look at the PD-L1 high cohort in the subset where you didn't see a survival difference for chemo plus immunotherapy versus immunotherapy alone, do you think any element of that could have been influenced by the degree of PD-L1 positivity above 50%? Meaning could there have been a cohort that is, let's say PD-L1 75 and above, and that kind of skews the data because I know you've published on this yourself also where the higher the PD-L1 above 50%, like 90% PD-L1 positivity survival curves are much better than 50% to 89%. So could that have somehow played a role? Dr. David Gandara: The first thing to say is that PD-L1 and the PROphet score, there's very little overlap. I know that sounds surprising, but it's also true for tumor mutational burden. There's very little overlap. They're measuring different things. The PD-L1 is measuring a specific regulatory protein that is applicable to some patients, but not all. That's why even in almost all of the studies, people with PD-L1 0 could still have some survival benefit. But in this case they're independent. And not in this paper, but in other work done by this group, the PROphet group, they've shown that the PROphet score does not seem to correlate with super high PD-L1. So it's not like the cemiplimab data where if you have a PD-L1 of greater than 90%, then of course the patient does spectacularly with monotherapy. The other thing that's important here is they had a group of around a little less than 100 patients that got chemotherapy alone. The PROphet score is agnostic to chemotherapy. And so that means that you're not just looking at some prognostic factor. It's actually clinical utility on a predictive basis. Dr. Rafeh Naqash: I think those are very important points. I was on a podcast a couple of days back. I think there's a theme these days we're trying to do for JCO Precision Oncology, we're trying to do a few biomarker based podcasts, and the most recent one that we did was using a tissue transcriptome with ctDNA MRD and you mentioned the composite of the PD-L1 and the PROphet test and they use a composite of the tissue transcriptome. I believe they called it the VIGex test as well as MRD ctDNA. And when your ctDNA was negative at, I believe, the three month mark, those individuals had the highest inflamed VIGex test or highest infiltration of T cells, STING pathway, etc. So are there any thoughts of trying to add or correlate tissue based biomarkers or ctDNA based correlations as a further validation in this research with the company? Dr. David Gandara: Right. So there are many things that are being looked at, various composites looking at the commutations that might affect the efficacy of immunotherapy and how they correlate with profit positivity or negativity. And I'll just give the examples of STK11 and KEAP1. As you know, there's some controversy about whether these are for immunotherapy, whether they're more prognostic or predictive. I'm one of the co-authors among many in the recently published Nature paper by Dr. Skoulidis and the group at MD Anderson which report that for KEAP1 positive especially, but also SDK11 mutated getting immunotherapy, that that's where the CTLA-4 inhibitors actually play the greatest role. So realizing that this is still controversial, there are preliminary data, not published yet, that'll be presented at an upcoming meeting, looking at many of these other aspects, P53, SCK11, KEAP1, other aspects, TMB, that's actually already published, I think in one of their papers. So yes, there's lots of opportunities.  The other cool thing is that this isn't a test, it's a platform. And so that means that the OncoHost scientists have already said, “What if we look at this test, the assay in a group of patients with small cell lung cancer?” And so I just presented this as a poster at the world conference in San Diego. And it turns out if you look at the biology of small cell, where neither PD-L1 nor TMB seem to be very important, if you look at the biology of small cell and you form an assay, it only shares 44 proteins out of the 388 with non-small cell. It's a different biology. And when we applied that to a group of patients with small cell lung cancer, again it had really pretty impressive results, although still a fairly small number of patients. So we have a big phase three study that we're doing with a pharmaceutical company developing immunotherapy where we are prospectively placing the PROphet test in a small cell trial.  The platform can also be altered for other cancer types. And at AACR, Dr. Jarushka Naidoo presented really impressive data that you can modify the proteins and you can predict immunotherapy side effects. So this is not like a company that says, “We have one test that's great for everything.” You know how some companies say, “Our test, you can use it for everything.” This company is saying we can alter the protein structures using AI machine learning assisted process to do it and we can have a very informed assay in different tumor types and different situations. So to me, it's really exciting. Dr. Rafeh Naqash: Definitely to me, I think, combining the AI machine learning aspect with the possibility of finding or trying to find a composite biomarker using less invasive approaches such as plasma or blood, definitely checks a lot of boxes. And as you mentioned, trying to get it to prospective trials as an integral biomarker perhaps would be likely the next step. And hopefully we see some interesting, exciting results where we can try to match or stratify patients into optimal combination therapies based on this test.  So now to the next aspect of this discussion, David, which I'm really excited about. You've been a leader and a mentor to many. You've led ISLC and several other corporate group organizations, et cetera. Can you tell us, for the sake of all the listeners, junior investigators, trainees, what being a mentor has meant for you? How your career has started many years back and how it's evolved? And what are some of the things that you want to tell people for a successful and a more exciting career as you've led over the years? Dr. David Gandara: Well, thank you for the question. Mentoring is a very important part of my own career. I didn't have an institutional mentor when I was a junior investigator, but I had a lot of senior collaborators, very famous people that kind of took me under their wing and guided me. And I thought when I basically establish myself, I want to give back by being a mentor to other people. And you wouldn't believe the number of people that I'm even mentoring today. And some of them are not medical oncologists, they're surgeons, they're radiation oncologists, they're basic scientists. Because you don't have to be an expert in that person's field to be a mentor. It helps, but in other words, you can guide somebody in what are the decision making processes in your career. When is it time to move from this institution onward because you can't grow in the institution you're in, either because it's too big or it's too small? So I established a leadership academy in the Southwest Oncology Group, SWOG. I've led many mentoring courses, for instance, for ISLC, now for International Society Liquid Biopsy, where I'm the executive committee liaison for what's called The Young Committee. So ISLB Society, totally devoted to liquid biopsy, six years old now, we have a Young Committee that has a budget. They develop projects, they publish articles on their own, they do podcasts. So what I'm saying is those are all things that I think opens up opportunities. They're not waiting behind senior people, they are leading themselves.  We just, at our International Lung Cancer Congress, reestablished a fellows program where a group of fellows are invited to that Huntington beach meeting. It's now in its 25th year and we spend a day and a half with them, mentoring them on career building. I'll just give you my first, I have the “Letterman Top 10”. So my first recommendation is if all you have is lemons, make lemonade. And what I'm meaning is find what you can do at your institution if you're a junior person, what you can claim to be your own and make the very best of it. But then as you get further along in my recommendations, one of them is learn when to say ‘no’. Because as a junior investigator the biggest threat to your career is saying ‘yes’ to everybody and then you become overwhelmed and you can't concentrate. So I'll stop there. But anyway, yes, mentoring is a big part of my life. Dr. Rafeh Naqash: Well, thank you, David. This is definitely something that I'm going to try to apply to my career as well. And this has been an absolute pleasure, especially with all the insights that you provided, not just on the scientific side but also on the personal career side and the mentorship side. And hopefully we'll see more of this work that you and other investigators have led and collaborated on. perhaps more interesting plasma based biomarkers. And hopefully some of that work will find its home in JCO Precision Oncology. Thank you again for joining us today. Dr. David Gandara: My pleasure. Dr. Rafeh Naqash: And thank you for listening to JCO Precision Oncology Conversations. 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 asco.org/podcasts.   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. David Gandara Disclosures: Consulting or Advisory Role Company: Henlius USA, Foundation Medicine, Janssen Pharma, Merck & Co, Mirati Therapeutics, Regeneron, AstraZeneca, Guardant Health, Genentech, Exact Sciences  Research Funding Company: Amgen, Genentech, Astex Pharma  
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  • Transcriptome and ctDNA Associates with Pembrolizumab Benefit
    JCO PO authors Dr. Philippe Bedard (Staff Medical Oncologist at Princess Margaret Cancer Centre and Professor of Medicine at University of Toronto) and Dr. Alberto Hernando Calvo (Medical Oncologist at Vall d´Hebron University Hospital) share insights into their JCO PO article, “Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab,” one of the top downloaded articles of 2024. Host Dr. Rafeh Naqash and Drs. Bedard and Hernando Calvo discuss how combined transcriptome and ctDNA longitudinal analysis associates with pembrolizumab outcomes. TRANSCRIPT Dr. Rafeh Naqash: Hello and welcome to JCO Precision Oncology Conversations where we bring you engaging conversations with authors of clinically relevant and highly significant JCO PO articles. I'm your host, Dr. Rafeh Naqash, podcast editor for JCO Precision Oncology and Assistant Professor at the OU Health Stephenson Cancer Center at the University of Oklahoma.  Today we are excited to be joined by Dr. Philippe Bedard, Staff Medical Oncologist at the Princess Margaret Cancer Center and Professor of Medicine at the University of Toronto, as well as by Dr. Alberto Hernando-Calvo, Medical Oncologist at the Vall d'Hebron University Hospital, both authors of the JCO Precision Oncology article titled, “Combined Transcriptome and Circulating Tumor DNA Longitudinal Biomarker Analysis Associates With Clinical Outcomes in Advanced Solid Tumors Treated With Pembrolizumab.”  Thank you for joining us today. Phil and Alberto. Dr. Alberto Hernando-Calvo: Thank you. Dr. Philippe Bedard: Great to be with you. Thanks for having us.  Dr. Rafeh Naqash: One of the reasons we do this podcast, as some of the listeners who listen to this podcast regularly may know, is to bring in novel approaches and try to understand how the field is moving towards a space where we are understanding biomarkers better. So your manuscript that was published in JCO Precision Oncology fulfills many of those criteria. And interestingly enough, I was at a conference at the Society for Immunotherapy of Cancer last month earlier in November and a lot of excitement at SITC was revolving around novel transcriptomic biomarkers, proteomic biomarkers or imaging based biomarkers. So could you tell us a little bit about why you started looking at biomarkers? This is an extremely competitive field. Why did you think that looking at the transcriptome is somewhat different from or more interesting from tumor mutational burden PDL-1 than other biomarkers that we currently use? And that question is for you Alberto to start off.  Dr. Alberto Hernando-Calvo: So I think gene expression profiles may have a predictive performance as compared to already existing biomarkers and this was one of the points that we describe in our manuscript. The gene expression signature that we developed back in 2019 at Vall d'Hebron Institute of Oncology was initially developed based on over 45 different tumor types and tested in over 1000 patients treated with antiPD-1 and anti PDL-1. And back then and in this manuscript, we proved that for instance the gene expression signature VIGex that we developed has a potential complementary role to other predictive biomarkers. In this case, we observe this predictive power with ctDNA dynamics and we then see a correlation with other existing biomarkers such as tumor mutational burden. So I don't think we need to use one or the other, but rather they may have additive predictive power. So we need to better individualize predictive biomarkers based on tumor types and select the best combination possible to improve the performance.  Dr. Rafeh Naqash: I completely agree that one size does not fit all, especially in the landscape of immunotherapy. From your perspective, when you developed the original signature, how did you choose what genes to look at? I looked at the manuscript, on the methodology side, some of the signatures are pro-inflammatory STING interferon gamma based, so how did you try to identify that these are the 7 to 10 or whatever number of signatures on the transcriptome side? And then why did you try to combine it with ctDNA based changes?  Dr. Alberto Hernando-Calvo: Back in our initial manuscript, published in Med from Cell Press, we developed the VIGex gene expression signature, as I mentioned, with taking into consideration over 1000 tumor samples from FFPE that we can consider real world samples because they are from real patients coming from the clinic notes as part of real investigational protocol doing or performing biopsies on patients. We did observe after doing a VIGex research and doing different tests, we eventually collected these 12 different genes. Because there is a combination of both genes involved in the interferon gamma pathway, we have genes associated with Tregs as well as T cell memory cells. So it’s not only looking at genes that are associated with T cell activation or CD8+ T cell infiltration, but also looking at genes that may be overactivated, overexpressed, an immunosuppressive tumor microenvironment. So it was both selecting genes, the minimum number of genes to do it more scalable and having the minimum dataset of genes and including in the signature genes that are already at targets for immune sequent inhibitors or are being tested in immunotherapy combinations.  Dr. Rafeh Naqash: Thank you. And Phil, for the sake of our listeners, could you elaborate upon this aspect of using ctDNA? So this was tumor-informed ctDNA from what I understood in the manuscript. You guys basically try to use it to understand changes in the ctDNA with treatment and then try to combine it with the transcriptome signature. How did the idea come up initially and how did you plan on combining this with an RNA-based signature? Because I have seen manuscripts and other data where people are either using one or the other, but not necessarily both together. So how did you guys come up with that idea? Dr. Philippe Bedard: Well, we thought that this was a great opportunity to look at the combination of the transcriptome as well as the ctDNA dynamics because we had run an investigator-initiated phase 2 clinical trial called INSPIRE at our institution at Princess Margaret from 2016 to 2018, where patients across five different tumor groups received single agent pembrolizumab. And we really did a deep dive on these patients where there were tumor biopsies before and while on treatment. We did exome sequencing, we did RNA sequencing to capture the transcriptome. And in a prior analysis, we had partnered with Natera to look at their Signatera assay, which is a bespoke ctDNA assay, to look at ctDNA dynamics using this test and the association with response outcomes as well as survival outcomes. So we thought that this was a really unique data set to try and address the question of whether or not there was complementarity in terms of looking at the transcriptome and transcriptome signatures of IO benefit together with the ctDNA dynamics. Dr. Rafeh Naqash: From a patient treatment standpoint, it sounded like you mostly tried to include individuals who were treated with pembrolizumab. Did this not include individuals who were treated with chemoimmunotherapy or chemotherapy with pembrolizumab? Just pembrolizumab alone? And if that's the case, some of the tumor types there included, from what I remember, ovarian cancer and some other unusual cancers that don't necessarily have approvals for single agent pembrolizumab, but perhaps in the TMB-high setting. So can you elaborate on the patient selection there for the study?  Dr. Philippe Bedard: Yeah, that's a great question. So at the time that the study was designed in 2015, this was really the early days of immune checkpoint inhibitor therapy, so we didn't have the approvals that we have now in specific tumor types for immunotherapy and chemotherapy combinations. So when the study was designed as an investigator initiated clinical trial, the idea was really to capture patients across different tumor types - so head and neck squamous cell carcinoma, malignant melanoma, ovarian cancer, triple negative breast cancer, and a kind of mixed histology solid tumor cohort, where we knew that there were some patients who were going to be immunotherapy responsive, where there was already approvals or evidence of single agent activity, and others where the responses were more anecdotal, to try and understand in a phase 2 clinical trial with kind of a deep dive, which patients benefited from treatment and which didn't. Dr. Rafeh Naqash: Interesting approach. Going to the results, Alberto, could you help us understand some of the important findings from these data? Because there's different sections of how you tried to look at the response rates, the survival, looking at the immune deconvolution, if you could explain that. Dr. Alberto Hernando-Calvo: So the first thing that we tried was to further confirm the external validation of this immune gene expression signature, VIGex in the INSPIRE asset. So what we observed at VIGex-Hot, the category defined by VIGex-Hot tumor microenvironment, was associated with better progression free survival. After including that in a multivariable analysis adjusted by other biomarkers such as TMB, PDL-1 or tumor type, this was also confirmed for overall survival. So then the next step was to really try to hypothesize if the addition of ctDNA dynamics, taking into consideration the ctDNA quantification at baseline as compared to cycle three, if those dynamics could further improve the predictive performance of VIGex categories taken in the baseline samples. What we did observe was that, for instance, VIGex-Hot tumors in baseline tumor samples that were having a ctDNA decrease, as I mentioned before on cycle three assessment as compared to baseline, were having both better progression free survival and better prognosis overall. Another important finding was the evaluation of response rate across tumor types considering both biomarkers. I would say the most important finding is that when we were considering a cold tumor microenvironment in baseline samples before pembrolizumab initiation plus an increase in ctDNA values, what we observed is that those patients were having a 0% response rate. So this may help as a future strategy either for intensification of immunotherapy regimens in a more individualized way or for an early stop to immunotherapy and try to avoid financial toxicities as well as toxicities for our patients. Dr. Rafeh Naqash: From the data that you showed, it seems that there was a strong correlation, as you sort of mentioned, between individuals that had ctDNA clearance and baseline immune pro-inflammatory signatures. So do you really need the transcriptome signature or could the ctDNA just serve as an easy quick surrogate? Because from a cost standpoint, doing whole transcriptome sequencing or more RNA sequencing or tissue standpoint, where tissue is often limited, can become a big issue. So do you think that validation of this may perhaps more revolve around using ctDNA as an easier metric or surrogate? Or am I overestimating the utility of ctDNA? Dr. Philippe Bedard: I think it's a really good question. In our data set which was relatively small, there were 10 patients who had ctDNA clearance, meaning ctDNA that was positive at baseline was not detected. And so 9 out of those 10 patients, as you alluded to, were VIGex-Hot. So the question is a good one, could you do the same with just ctDNA clearance alone, particularly in identifying these patients who really do well, who have long term disease control on immunotherapy? I think it's a tough question to answer because the field is also changing in terms of sensitivity of detection of ctDNA tests. So we know now that there are newer generations of tests which can detect even at logs down in terms of allele variants in the circulation. So I think we need more data to address the question. I think it is important as to what is the best test, what is the endpoint that we should be using from a drug development point of view in terms of really trying to push and understand which treatment regimens are the most effective and have early readouts in terms of activity. Because we all recognize in the clinic that radiographic response doesn't tell the whole story, especially early radiographic assessments using RECIST or other criteria that we apply in clinical trials. Dr. Rafeh Naqash: From a clinical trial standpoint, we often talk about validation of these studies. You may have heard of other tests where, for example, the NCI iMatch, which is incorporating transcriptome sequencing based approach to stratify patients as an integral biomarker for treatment stratification. Is that something that you guys are thinking of using, this approach where individuals who are signature highly inflamed perhaps get lesser therapies or there's a de-intensification of some sort similar to what people are trying to do with ctDNA-based approaches? Dr. Philippe Bedard: I think that's a great question. I think it makes a lot of sense. And certainly, with the new wave antibody drug conjugates in terms of identifying patients who have expression of targets for antibody drug conjugates, that's very attractive as an approach because we don't necessarily have IHC markers for all of the different targets of antibody drug conjugates. We don't necessarily have IHC markers to completely understand different contributions to the tumor microenvironment and whether or not tumors are inflamed. But it's also a challenging approach too because RNA-seq currently is not a routine clinical test. Sometimes there are issues, particularly in patients who have stored specimens that are formalin-fixed and paraffin-embedded in terms of the quality of the RNA for RNA sequencing. And it's not always feasible to get pre-treatment biopsies and turn them around in an approach. So I think it is an attractive approach for clinical trials, but it's a hypothesis that needs to be tested. It's not something that is ready for clinical prime time today in 2024. Dr. Rafeh Naqash: One of the other interesting observations that I came across in your manuscript was that tumor mutational burden, interestingly, did not correlate with signature high tumors. What is the explanation for that? Because generally you would expect a TMB high to perhaps also have an immune gene high signature. Could it have something to do with the tumor types because there was a heterogeneous mixture of tumor type? Or I'm not sure. What else could you possibly think of that you didn't see those correlations or just sample size limitations? Dr. Alberto Hernando-Calvo: Yes. So our findings are consistent with prior data suggesting for instance T cell inflamed gene expression profile was also not correlated with tumor mutational burden and both biomarkers in a prior publication. So to have additive predictive performance for identifying patients most likely to benefit from anti PD-1 regimen, so we somehow were expecting this observation, the fact that both biomarkers are not very correlated. Dr. Rafeh Naqash: So given the proof of concept findings from your study, Phil, what is the next interesting step that you guys are thinking of to expand this? Would you think that a nivolumab-ipilimumab treated cohort would have similar findings? Or is this a treatment specific single agent immunotherapy specific correlation that you found versus something else that you may find in a nivo-ipi cohort or a doublet immune checkpoint cohort?  Dr. Philippe Bedard: The findings are really hypothesis generating. They require additional validation. And you're quite right, there may be nuances in terms of specific tumor types, combinations with other immunotherapy or combinations with chemotherapy or other agents. So I think it would be great if there are other data sets that are collecting this type of information that have ctDNA dynamics and also have transcriptome and potentially exome or genome analysis to look at these types of questions because the field is moving quickly and we really need more data sets in order to understand some of the nuances and greater numbers to validate the signals that we see. Dr. Rafeh Naqash: And one thing, as you said, the field is definitely moving very quickly. I was meeting with a company an hour back and they have an imaging-based approach using fresh tissue to look at pharmacodynamic biomarkers. And I used to work in the NCI with a group that was very interested and they developed an immuno-oncology pharmacodynamic panel that has been used and published in a few clinical trials where they did phosphorylation status. So the final theme that comes out of most of these research based studies that are being done is that one size does not fit all. But the question that comes to my mind is how many things do you necessarily need to combine to get to a predictive biomarker that is useful, that is patient centric, and that perhaps is able to identify the right therapy for the right patient. What is your take on that, Phil?  Dr. Philippe Bedard: Yeah, that's a great question too. The challenge is it depends on the context in terms of what degree of positive predictive value do you need as well as the negative predictive value to drive clinical decisions. So I think in certain situations where you don't have other approved treatment options and with a therapy that is potentially low toxicity and low financial toxicity, then I think the bar is very high in terms of being able to really confidently identify that patients aren't going to benefit. I think the nuance and the challenge becomes when you move into earlier lines of therapy, or when you talk about combinations of agents, or trying to understand within the context of other available options, particularly with treatments that have significant side effect profiles as well as financial risks, then it becomes a much more nuanced question and you really need comparative studies to understand how it fits versus the existing treatment paradigm. So I'm not really answering your question with a specific number because I think it's hard to give you a number. Some of that we also need input from patients in terms of what kind of level of validation do you need and what kind of level of discrimination do you need in order to drive decisions that are meaningful for them. Dr. Rafeh Naqash: Definitely early days, as you pointed out. More and more work in this field will hopefully lead us in the direction that we all want to go in.  Now, going to a different aspect of this podcast, which is trying to understand the trajectories for both of you, Phil and Alberto. And as you mentioned, this project seemed to have started in 2015. So I'm guessing there's a history there between Princess Margaret and Vall d'Hebron. Could you highlight that a little bit? And then perhaps, Alberto, after that you could tell us a little bit about your career when you worked at Princess Margaret as a fellow and then now back at Vall d'Hebron. Phil, you as well. Dr. Philippe Bedard: So absolutely. We have a long history of collaborating with Vall d'Hebron in Barcelona. It's really a great cancer institution with a lot of like minded individuals. We have a formal partnership and we have a lot of informal links in terms of scientists and clinicians who we work with and who we collaborate with on early phase clinical trials, as well as through different investigator networks and other translational projects. So this was really how this collaboration came about and we were fortunate to have Alberto, who came to work with us for two years and brought this great idea of looking at this signature they had developed at Vall d'Hebron in their phase one group and applying it to a data set that we had through the INSPIRE clinical trial.  Dr. Rafeh Naqash: Sounds like a very successful academia-academic collaboration, which is very nice to see. So, Alberto, could you tell us a little bit about your career trajectory and how you ended up at Princess Margaret and then back at Vall d'Hebron and what you do currently? Dr. Alberto Hernando-Calvo: Yes. So I did my oncology residency at Vall d'Hebron in Barcelona, Spain. Then I decided to further specialize in early drug development as well as head and neck cancer oncology. So I decided to pursue a clinical research fellowship under the supervision of Phil Bedard, among others. And so we decided to further validate the signature that we had developed both in the cancer genomic lab at Vall d'Hebron Institute of Oncology and the phase one unit at Vall d'Hebron, and apply the signature that have been originally tested in patients receiving anti PD-1 or anti PDL-1 combinations in early phase clinical trials. In the phase 2 clinical trial of INSPIRE, where we also had ctDNA dynamics and allowed us to test both biomarkers and see that additive predictive power when we were using both. That was one of my research topics under the mentorship of Dr. Bedard and my fellowship at Princess Margaret. And this was one of the manuscripts describing all the findings of this collaboration between Vall d'Hebron and Princess Margaret Cancer Center. Dr. Rafeh Naqash: And then, Phil, if you could highlight some of the things that you've done over the course of your career and perhaps some advice for early career junior investigators and trainees.  Dr. Philippe Bedard: I finished my oncology, medical oncology training at the University of Toronto in 2008. And then I did a breast cancer fellowship in Brussels at Breast International Group. At the time, I was really intrigued because it was really kind of the early days of microarray and RNA signatures in terms of expressing signatures were being used as part of a clinical trial that BIG was running called the MINDACT Study. And so when I finished my fellowship, I came back to Princess Margaret, started on staff. I've been here now for 15 years. I was fortunate to work with the phase 1 group and kind of my career has sort of morphed in terms of early drug development as well as genomics. I've been involved with the American Association for Cancer Research project GENIE, where I'm the current chair. This is really an international data sharing project with panel based sequencing, which both Princess Margaret and Vall d'Hebron have contributed to. And I’ve been fortunate to work with a number of really talented early career investigators like Alberto, who spend time with us in our drug development program and launched transitional research projects that leverage some existing data sets at their own institutions and also bring together with different research groups at our institution to lead to publications like this one. Dr. Rafeh Naqash: Thank you so much. This was very exciting. Phil and Albert, thanks for joining us today and thank you for allowing us to discuss your interesting manuscript and hopefully we'll see more of this biomarker work from you guys in the near future, perhaps published in JCO Precision Oncology.   And thank you for listening to JCO Precision Oncology Conversations. 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 asco.org/podcasts.     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 PO Article Insights: Germline Pathogenic Variants in Renal Cell Carcinoma
    In this JCO Precision Oncology Article Insights episode, Miki Horiguchi summarizes two articles: “Germline Susceptibility to Renal Cell Carcinoma and Implications for Genetic Screening,” by Dr. Kate I. Glennon et al. published on August 01, 2024, and "Incidental Pathogenic Variants in Renal Cell and Urothelial Carcinoma: Is It Time for Universal Screening?” by Dr. Salvador Jaime-Casas, et al. published on August 01, 2024. TRANSCRIPT Miki Horiguchi: Hello and welcome to JCO Precision Oncology Article Insights. I'm your host Miki Horiguchi, an ASCO Journal's Editorial Fellow. Today, I'll be providing summaries of the article titled, "Germline Susceptibility to Renal Cell Carcinoma and Implications for Genetic Screening,” by Dr. Kate Glennon and colleagues. In the accompanying editorial titled, “Incidental Pathogenic Variants in Renal Cell and Urothelial Carcinoma: Is It Time for Universal Screening?” by Dr. Salvador Jaime-Casas and colleagues. Renal cell carcinoma (RCC) exhibits distinct clinical characteristics across its histological subtypes. Clear cell RCC accounts for approximately 75% of cases while the remaining non-clear cell RCC encompasses a diverse group of histology. Although a family history has been known to double the risk for RCC, genetic susceptibility, particularly across different histological subtypes and defined operations, has not been investigated well. Dr. Glennon and colleagues sought to identify risk genes for RCC within the Canadian population and investigate their clinical significance in comparison to cancer-free control populations. The authors conducted targeted sequencing of 19 RCC related genes and 27 cancer predisposition genes for 960 RCC patients in Canada. DNA samples were collected through the Ontario Tumour Bank between 2005 and 2019. For comparisons across histological subtypes, the cohort was divided into 759 patients with clear cell RCC and 201 patients with non-clear cell RCC, including all histological subtypes other than clear cell RCC. Non-cancer control data were obtained from a publicly available database which included over 118,000 cases from the European population. A total of 39 different germline pathogenic variants were identified in 56 patients representing 5.8% of the Canadian cohort. There was no significant difference in the overall number of germline pathogenic variants between the two groups. The most commonly identified germline pathogenic mutations were CHEK2, ATM/BRCA2 and MITF in the clear cell RCC group, and FH and CHEK2 in the non-clear cell RCC group. Compared to the non cancer control data, germline pathogenic variants in CHEK2 and ATM were significantly associated with an increased risk of developing clear cell RCC, while those in FH were significantly associated with non clear cell RCC. According to the bivariate association analysis between the presence of germline pathogenic variants and clinical characteristics, patients with metastatic RCC were strongly associated with pathogenic variants in BRCA1, BRCA2, and ATM. No other significant associations were observed. The authors then evaluated variations in germline pathogenic variants among RCC patients across the world using similar studies conducted in Canada, Japan, the United Kingdom, and the United States. Specifically, they compared the gene burden for significantly mutated genes in each of the cohorts against all other cohorts combined. Compared to the other cohorts, RCC patients from Japan were enriched for pathogenic variants in TP53 and depleted for pathogenic variants in CHEK2. The United States cohorts showed higher frequencies of patients with pathogenic variants in BAP1 and FH genes compared to other cohorts. In contrast, RCC patients from Canada and the United Kingdom were not enriched for any specific genes when compared with the other cohorts. After characterizing germline susceptibility to RCC, the authors evaluated how many of the RCC patients in the Canadian cohort did not meet existing referral criteria for genetic screening based on current clinical guidelines, aiming to help refine these guidelines. Among the 56 RCC patients with identified germline pathogenic variants in the Canadian cohort, 73% did not meet the referral criteria for genetic screening under current Canadian guidelines. The authors also applied the UK guidelines and the US American College of Medical Genetics guidelines to the same 56 RCC patients. Under these criteria, 80% and 64%, respectively, were not eligible for genetic screening. In an exploratory analysis, the authors examine the impact of raising the Asia onset threshold from less than 45 years to less than 50 years. This revision captured an additional five patients with pathogenic variants. In addition to more inclusive genetic screening guidelines, the study results suggest that expanding the current list of genes to include additional relevant genes such as BRCA1, BRCA2, CHEK2 and ATM could help identify more RCC patients who are affected by rare germline pathogenic variants in Canada. The authors concluded that these revisions would enable the identification of a higher number of at-risk patients and improve the management of RCC patients. In the associated editorial accompanying this research article, Dr. Salvador Jaime-Casas and colleagues emphasized that the findings from Dr. Glennon and colleagues’ study are particularly worrisome as most RCC patients with incidental pathogenic variants are not being referred for genetic screening. Building on results from previous studies, the authors suggested the need to revisit and update the current screening guidelines for RCC patients. The authors also highlighted findings from other studies showing the prevalence of pathogenic variants in CHECK2, BRCA1, and BRCA2 at up to 6% in RCC patients and 11% in upper tract urothelial carcinoma patients. They noted that these rates are comparable to those of ovarian cancer and pancreatic cancer, which already have universal screening guidelines. The authors also discuss some challenges. While the prevalence of pathogenic variants is crucial for evaluating the impact of germline genetic testing, it's only one factor in devising screening guidelines for RCC and urothelial carcinoma. They emphasize the need for robust clinical trials to evaluate therapeutics targeting these pathways, as well as the importance of characterizing incidental pathogenic variants to guide patient selection for these trials. Thank you for listening to JCO Precision Oncology Article Insights and please tune in for the next topic. 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 asco.org/podcasts.   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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  • Uptake of Aspirin Chemoprevention in Lynch Syndrome
    JCO PO author Dr. Michael J. Hall, Professor of Medicine, Chairman of the Department of Clinical Genetics, and Co-Leader of the Cancer Prevention and Control Program at Fox Chase Cancer Center in Philadelphia, PA, shares insights into the JCO PO article, “Uptake of Aspirin Chemoprevention in Patients with Lynch Syndrome.” Host Dr. Rafeh Naqash and Dr. Hall discuss the finding that only about 1 in 3 patients with Lynch Syndrome use aspirin for cancer chemoprevention. TRANSCRIPT  Dr. Rafeh Naqash: Hello and welcome to JCO Precision Oncology Conversations, where we bring you engaging conversations with authors of clinically relevant and highly significant JCO PO articles. I'm your host, Dr. Rafeh Naqash podcast editor for JCO Precision Oncology and Assistant Professor at the OU Health Stephenson Cancer Center at the University of Oklahoma. Today, I'm excited to be joined by Dr. Michael J. Hall, Professor of Medicine, Chairman of the Department of Clinical Genetics and co-leader of the Cancer Prevention and Control Program at the Fox Chase Cancer Center in Philadelphia, and also the lead author of the JCO Precision Oncology article entitled, “Uptake of Aspirin Chemo Prevention in Patients with Lynch Syndrome.” At the time of this recording, our guest disclosures will be linked in the transcript. Dr. Hall, welcome to the podcast and thank you for joining us today to explain and help the listeners understand your interesting research that was just published in JCO Precision Oncology. Dr. Michael J. Hall: Thank you so much for having me and really thanks for the interest in our work. I think it's an important subject and I hope people will also find it as interesting as we do. Dr. Rafeh Naqash: Absolutely. I think your research touches upon a few things. One, obviously, touches upon Lynch syndrome germline assessments of individuals. It also touches upon chemo prevention, prevention in general, and it also touches upon the knowledge and understanding of chemo prevention aspects. So to start off, I would like to ask you, for the sake of our listeners, many of whom who may not necessarily fully understand the length and breadth of Lynch syndrome, maybe perhaps some residents or trainees out there, could you tell us what Lynch syndrome is, what some of the mutations are, what the implications are, and then we can try to go and delve more into the research topic. Dr. Michael J. Hall: Sure, I'd be happy to. Lynch syndrome is probably, in the hereditary cancer genetics world, one of the most common hereditary risk syndromes we encounter. Recent estimates are that probably roughly about 1 in every 280 individuals in the population is a carrier of a pathogenic variant, one of the Lynch syndrome genes, there are roughly four. There's sort of a fifth gene that is also involved with Lynch syndrome, but really, we largely think about four genes in Lynch syndrome, MLH1, MSH2, MSH6, and PMS2. Over time we've begun to learn, and I'll say that the guidelines that we develop have become more specialized for each of those genes. They are not sort of all the same in the cancers they cause and the way they behave. But roughly, what is Lynch syndrome? It's a syndrome of DNA mismatch repair. So, individuals who have Lynch syndrome have some degree of deficiency in their ability to repair DNA via the mismatch repair system. Depending on the pathogenic variant that is within a family, that may be related to a more severe deficiency of mismatch repair, repair, editing, or for instance, with the PMS2 gene, we've learned over time that actually the degree of DNA repair deficiency is actually a milder phenotype. These individuals over a lifetime are at risk of a variety of different kinds of cancers, the most common being colon cancer. And the risk of that is variable by gene. With MLH1 and MSH2, it's close to 50% over a lifetime. With MSH6 and PMS2, somewhat lower. There are also risks of endometrial cancer, gastric cancer, ovarian cancer, pancreas cancer, a number of other ones. But they're all related again to the same underlying molecular deficiency, and that's this deficiency of being able to repair mistakes made in the DNA accurately. And so, mutations accumulate in the genome of cells in various tissues of the body. Dr. Rafeh Naqash: Thank you for that very simplified version of a very complicated topic otherwise. So, as you mentioned, these different genes have different implications. Perhaps some have higher risks for colorectal cancer than others. What are some of the current standardized approaches for screening or following these individuals over the course of their journey until perhaps either get detected with cancer or while they're being monitored? Dr. Michael J. Hall: Sure. It's a great question, because this is very much a moving target in this disease. I'm going to give you a quick second of history that up until maybe about six or seven years ago, we had uniform guidelines, really, that any Lynch syndrome pathogenic variant carrier should start colorectal cancer screening. Usually, we were recommending between the age of 20 and 25, and this was usually annual colonoscopy. And for years that was the standard. In more recent years, we've stuck to that tight interval, particularly in the higher risk genes, MLH1 and MSH2, although the guideline now reads every one to two years, because we recognize people need some degree of flexibility to live their lives. And there are people in the population who are more risk averse, and there are those who want a colonoscopy every year because they want to stick to that schedule. For MSH6, we recommend a somewhat later start at age 30, and that can be every one to three years for colon screening and for PMS2, similar recommendations, although I think there is a chance in the coming years, we may actually expand the screening interval even more, again, because the risks are somewhat lower. We still have ways to go in terms of screening for the other cancers in Lynch syndrome. I'll say that, for instance, endometrial cancer, which is the second most common cancer in this disease, we still struggle with what is the best way to screen women for a risk of endometrial cancer. Our guidelines in the past were always somewhat draconian, that once women sort of finish childbearing, they should immediately have a total abdominal hysterectomy and oophorectomy. And I'll say that with greater input from the gynecologic and GYN ONC community, we have somewhat softened those recommendations, especially for the endometrial cancer and also the age at oophorectomy, because we recognize that there were compensatory risks of taking the ovaries out too early in some women, risks of bone loss and cardiovascular disease. So those are the most common. For other tumors in Lynch syndrome, for instance, gastric cancer and pancreas cancer, the guidelines are still really evolving, and different groups have put out guidance for clinicians. And I'll say NCCN, which I participate in and help write those guidelines, has very good recommendations for docs. But I'll say that it is again, back to the idea that it's a moving target. And as we learn more, hopefully, we'll have better recommendations. Dr. Rafeh Naqash: I completely agree as far as a moving target is concerned, and we often look at the disconnect between the recommendations and then what's implemented or followed in the real-world setting. So I have a question in that context, and my question is, when you identify these individuals with Lynch syndrome, perhaps let's talk about academic settings, and then we can try to delve into how this might work in the real world community oncology settings, where the real world population actually exists, 60, 70% of individuals get treated in the community. So, when you talk about an academic center, what is the flow of the individual? Does the individual stay within the geneticist when they're diagnosed? Does the individual go to the primary care and the geneticist makes the recommendation and the primary care follows the recommendation? How does it work for you and what are some of the models that you've seen work best perhaps at different academic centers? Dr. Michael J. Hall: I think you get at a really great question. And I'll say there is really no one model. And I think models have to be fluid these days because people with Lynch syndrome are really being identified in more and more diverse settings, and by diverse means. I'll say at my own center, we are more of a traditional practice. So, we do the pre-test and the post-test counseling. Once we have counseled individuals identified Lynch syndrome, we will usually make referrals. If folks don't have a gastroenterologist that they have interacted with before, we keep them in our own group and follow them. But their Lynch syndrome home really sits both in a continuity clinic that I run for patients to come back and circle around every one to two years just to review guidelines and review their screening results. However, I do really make an effort to, first of all, keep primary care docs involved, because I think some of the things we recommend, it is critical that the primary care doc is aware so that patients are keeping up with some of the recommendations. For instance, we often recommend skin screening to make sure that folks have had at least one good skin exam somewhere in the 40s. And I think the primary care doc can be very helpful in making sure that happens. It is somewhat different, I think, in the community where many more patients with Lynch syndrome are being identified these days. I suspect that much more of the burden of making sure Lynch syndrome patients are well hooked in with a gastroenterologist and with a dermatologist and maybe a urologist probably does fall on that primary care doctor. In my experience, some primary care physicians have really kind of jumped up in and taken hold of this and really know their Lynch syndrome well, and I think that's amazing. I do, however, as kind of an expert in this area, I do get a lot of referrals in from the community as well, from docs who just feel that they may not have quite that expertise that they can get at a comprehensive center. So, someone may come in to me just for a consult to review what my recommendations would be, hear about research, hear about what's going on in the field, and those folks will often touch base with me again every couple year or so. Often, another thing I've started to experience is that I may meet people once or twice early on in their diagnosis, and then they go back to their primary docs and I may not hear from them again until something more profound happens in the family or into the patient and they get their screening colonoscopy and a stage 1 cancer is found. Often then, that's the patient who, after four or five years, will contact me again and say, “We haven't talked in a while, but something has happened, and can we re-consult about what would be the best way to do things?” Dr. Rafeh Naqash: Again, like you said, lots of moving targets, moving aspects to this whole care of these individuals. Do you think, in your experience, nurse navigation, maybe some centers have already implemented that perhaps you might have that, do you think nurse navigation could play a certain level of role? You know how in the multidiscipline care we have nurse navigators that coordinate care between radiation oncologists, medical oncologists, thoracic surgeons. So that's something that is being implemented. My second part of that question is telehealth in this case, maybe it's a little more difficult for somebody to drive three hours to come to you for a visit just to check in versus maybe virtually talking to you or your team getting a sense of where things are at in terms of their screening and their follow ups. Dr. Michael J. Hall: I think both are great, great questions and absolutely, we use both of those pieces in our model. And I know from colleagues that they do as well. So, in terms of navigation, we do have an embedded nurse navigator within our department. She joins and kind of helps facilitate all of our high risk follow up clinics. Mine, for GI, we have a high-risk prostate clinic, we have several high-risk breast clinics and those are populated by providers. We have a couple of nurse practitioners in my genetics group and a PA they are sort of the main provider in those clinics, but they are very much supported by that nurse navigator who, as you well point out, really helps with the coordination of the care. Telehealth as well, I do 100% support because you're absolutely right, if you look at a map of the United States and you first of all look at where there are good counseling services available, of course, there's ample counseling in the major metropolitan areas all over the U.S., but the minute you get outside of those counseling and then other management expertise, then– So we do have a model where particularly for folks who are from central Pennsylvania and sometimes more towards western Pennsylvania, I do have some individuals who've been identified with Lynch syndrome who telehealth in, again, for that follow up. A sort of side notes on telehealth, I think we learned a lot from the pandemic about how to use telehealth more effectively. And thank goodness, we've all gotten up to speed in medicine of how to be better telehealth providers. Unfortunately, I feel like with the pandemic kind of waning, there's been a little bit of a regression of the telehealth laws. So now if I want to do telehealth with someone who is from New Jersey, even though New Jersey sits very close to where I practice, it's more complicated now. Again, I have to get a license and same thing with New York and same thing with Delaware. I sort of wish we had a little bit of a better and welcoming system in the states where you could have easier ability to practice, especially when states were quite close using telehealth. But nonetheless, that's for another podcast, I think. Dr. Rafeh Naqash: Well, thank you again for some of those interesting aspects to this whole topic. But let's dive into the thing that we are here to talk about, which is aspirin in these individuals. So can you give us some context of why aspirin, what's the biology there and what's the data there, and then talk about why you did what you did. Dr. Michael J. Hall: So, we've known for many years that aspirin has preventive properties in terms of preventing colorectal cancer. Many observational studies and some interventional studies have shown us that aspirin has benefits for reducing the risk of colon cancer in an average risk population. There was even an interventional trial a number of years ago that looked at individuals who made polyps, and this looked at particularly adenomas, which we know are the precancerous polyps and adenoma prevention using aspirin. And that study clearly showed that aspirin had benefits for lowering risk of recurrent polyps and adenomas. Particularly even a lower dose of aspirin, 81 milligrams, was effective in that setting. Aspirin's also been studied in other hereditary risk syndromes, the most visible one being FAP, where data have shown that aspirin does help reduce polyp count in FAP, although is certainly not a perfect chemo prevention for that disease. So, in that background of knowing that aspirin has many benefits for colorectal cancer prevention, a study was initiated in the UK a number of years ago called the CAPP2 study, with its lead investigator being John Burn. And in this study, it was a two-arm factorial study that was not just aspirin, but they were also looking at resistant starch, which there was a lot of excitement about resistant starch back then. But in this study, they looked at using aspirin as a way of lowering risk of colorectal cancer in patients with Lynch syndrome. And that study, which was initially reported in The New England Journal, the initial outcomes did not actually show benefits in its first analyses of adenoma risk and colon cancer risk. But what they found over time was that there was a delayed effect and, in a follow, up paper looking at 10 plus years of follow up, they showed a substantial reduction in risk of colon cancer, about 40% risk reduction, which was really striking and exciting in the field to see such a large benefit from aspirin. Now, one caveat was in the analyses they performed, it was those individuals who were able to stick to the aspirin dose in that study, which was 600 milligrams a day. I always say to folks that back in the day, that was not a lot of aspirin, although I think these days we're much more skeptical about taking larger doses of any drug. So, 600 milligrams is roughly about two adult aspirin in the U.S. So those folks who were able to stick to that dose for at least two years were the ones who gained benefit from being on aspirin. And what was interesting is that benefit endured for really 10 years after those two years of being able to take aspirin. So, this was striking and it really changed our thinking about whether there may be chemo prevention options for folks with Lynch syndrome. However, and I think what formed the background of our study here was that there was a somewhat equivocal endorsement of aspirin by the major guidelines committees, mainly because, as we all know in oncology, we love one first big study, but we always really love secondary studies that solidify the finding of the first study. And so, because this was such a niche group and no one else out there was doing big aspirin studies when this result came out in 2011, we've sort of been waiting for many years for some follow up data. And the NCCN guidelines have always been a little bit equivocal that people could consider using aspirin to lower risk in their patients with Lynch syndrome, but without that kind of strong, “Everyone should do this.” And so, this has kind of formed the background of why we performed the study that we did. Dr. Rafeh Naqash: Interesting. And then you had a bunch of observations. One of the most important ones being that use of aspirin was pretty low. Could you dive into that and help us understand what were some of the factors surrounding those low implementation aspects? Dr. Michael J. Hall: Of course. So, what we were interested in then again in that background was, here's a high-risk population, docs are getting somewhat maybe ambiguous information from the guidelines, but what actually is going on out there in practice? How many patients are actually using aspirin? What doses are they using, and what are some of the factors that drive it? So, we performed a survey that actually occurred in two parts. One started at Fox Chase in our population here, and then we expanded it online to a convenience sample. Overall, we had 296 respondents. And yeah, what we found actually was the uptake of aspirin was only about roughly 30%, 35% or so among patients who were eligible to take aspirin. When you actually drill down to those people actually taking aspirin because they wanted to prevent Lynch syndrome, it was even lower. It was in the range of 25% to 30%. This somewhat surprised us. And then when we looked at the doses that people were using, of course, thinking back to that 600-milligram dose that was tested in the study, we found actually that more than half of folks were taking low dose aspirin, like an 81 milligram, and only about 8% of our study participants were using that 600-milligram range. So, again, I would say this somewhat surprised us because we thought it might be higher than this. I'll say as a somewhat caveat to this though, is that back to my comment about we always like another study that confirms our findings, and at a meeting earlier this year, there was a study performed in a New Zealand population by a medical oncologist named Rebecca Tuckey. And she actually found almost the same identical results that we did in the New Zealand population - very, very similar uptake rates of aspirin in the New Zealand population with Lynch syndrome, so kind of confirming that something we've stumbled upon appears to be true. But how do we understand why some folks use aspirin and why others don't in this condition? Dr. Rafeh Naqash: You had a very robust question there from what I saw in the paper. And some of the questions that I had around that was, did you or were you able to account for demographics, education level of the individuals? Were you also able to assess whether these individuals felt that they had been counseled appropriately when they met with either a primary care physician or of any provider on the genetic side, physician or non-physician? So how did you get an assessment of whether it was an apples-to-apples comparison or were there a lot of confounders. Dr. Michael J. Hall: Very good question. And of course, in the setting, unfortunately, we weren't interviewing people, which we could have gotten much richer data in some ways. And there were other things we were looking at in this survey as well, so our aspirin questions, we had a number of them, but perhaps in retrospect, it would have been nice to even have more. We did have some common covariates, age, sex, ancestry, marital status, which gene was affected, whether they had a history of cancer. We did not have education, unfortunately. And I think your question is a great one, but we did not actually ask folks about whether they had been counseled by their provider or their genetic counselor or someone else about whether they should use aspirin or not. We simply wanted to see whether folks were using it. We did ask them again whether they were using it because they wanted to lower their risk of a Lynch syndrome cancer or whether they were using it for another reason or a combination of both. So, yes, in retrospect, we actually do have another study plan to kind of drill deeper into these questions of is it more of a hesitancy question? Is it more of a question of just not as much awareness? Are there other reasons? I think there's a lot to answer, and I think answering these questions is really important because we both want to make sure we're talking about interventions that we think can help people, but we need to understand also some of the barriers they may face. And if people do have barriers to some forms of chemo prevention or I think about some of the vaccine research that's going on right now, if the kinds of things that we're working on to develop are actually not going to be palatable to the patient, the population, then I think we kind of need to step back and say we need to maybe understand what people want so that we can have a good meeting of what's going to work and what's going to fit the needs and lifestyles of our patients. Because these are things they might have to do for many, many years and starting maybe even in their 20s or 30s. So, it makes a difference. Dr. Rafeh Naqash: From what you learned in the study, are you thinking of any subsequent interventional approaches, whether they involve a simple phone call to the patient regularly or perhaps, even though I'm not a big fan of EMR prompts, like an EMR prompt of some sort, where they talk, where they're instructing the provider, whoever is seeing the patient physician or the APP or the geneticist that, “Hey. Did you counsel the patient?” And its sort of a metric how in the oncology side they say, “Well, your metric is you should stage all patients and you should talk about toxicities from a reimbursement standpoint and also from a quality improvement metric standpoint. “Is that something you're thinking of? Dr. Michael J. Hall: 100%. So, when we looked at the barriers, many of the kind of the things that were the strongest predictors of who used aspirin versus who didn't were really patients’ perceptions of whether aspirin would cause side effects or whether aspirin would be burdensome to take on a daily basis, also, just how much benefit they thought would come from taking aspirin. So, I think there's, number one, I think an intervention and our next delve into this as an interventional study would be both education about the delta prevention benefit that you get from aspirin, the safety profile of aspirin, which is really quite excellent. And also, I think the data that are so important that in this study by Burn et al, it was actually only two years of intervention that then paid off for 10 years down the line, right? So, I think that's important. The other thing that we actually learned as an aside in this study was actually the kind of intervention that patients wanted the most was actually not a drug and was not a vaccine and was not another kind of special scope to stick somewhere. What they actually were most interested in were interventions related to diet. People really see diet as being an important part of health, or I should say diet and nutrition. And so, I think a subsequent study would perhaps wed both a nutritional intervention of some kind with a chemo prevention in some sort of time limited fashion, so that folks felt like they were both focusing on something that was more important to them, but also, something that was related to the study that we wanted to look at. So that's kind of my idea of where we're going to go in the future with this. Dr. Rafeh Naqash: Excellent. Sounds like the next big RO1 for your group. Dr. Michael J. Hall: Let's hope so. Dr. Rafeh Naqash: Well, I hope the listeners enjoyed talking about the science and learning about aspirin Lynch syndrome. The last couple of minutes are about you as an individual, as an investigator. Can you tell us what your career journey has been like, how you ended up doing what you're doing, and perhaps some advice for early career junior investigators on what this whole space looks like and how you pace yourself and how they can learn from you? Dr. Michael J. Hall: I really got interested in oncology during my residency training. I really found that I really liked oncologists. I found them to be a bit more of a science focused group. They liked research, but you're in oncology because you understand the fears and the challenges of cancer. And so, it's both a combination of that love of science, but also that real human touch of taking care of people. The thing I always tell my fellows as well is the other thing I love about oncology is if you tell people they don't have cancer, they don't want to come back to you. Now, of course, that's modified in the prevention setting. But I really like that when people come to me in my GI oncology clinic, it's because they have a diagnosis and if I say you actually don't have cancer, they go off to their life, and so you're really spending your time on real subjects. The person who really got me most interested in Lynch syndrome and this kind of prevention research was a mentor from University of Chicago, Funmi Olopade, who really has been an enormous mentor for many, many people in the field. Actually, three people in my fellowship class all went on to careers related to genetics and genomics. So, she's been highly influential and continues to mentor me even in my mid-career. I think in terms of pearls or what keeps this interesting for me, I think as much as oncology treatment and new drugs and trials is super exciting, I love being able to step away from that into my genetics and prevention population and kind of focus on treating people in a different format. Patients who are healthy but are worried about cancer because of a family history or carrying a gene or otherwise, and I feel that that's where I can have also an important impact, but on a different level in educating people and helping them understand how genetics works in an understandable and simple way, but also giving them some tools. And one reason for this study, and the reason I study preferences related to prevention is, again, I don't want to just develop something and spend 10, 15 years of my life developing some intervention that everyone looks at and is like, “I don't really want to do that.” I want to really understand what it is that is important to the patients so that we can hopefully work together to develop things that can not only have impact but have impact on a wide scale. Dr. Rafeh Naqash: Awesome. You mentioned Dr. Olopade. I crossed paths with her actually at an international medical graduate community of practice session earlier this year at ASCO where she talked about her journey as an immigrant, talked about how she started, the kind of impact that she's had. It was obvious evident in the picture that she showed with all her mentees who have kind of gone all over the world. So that was very phenomenal. And it's surprising how small of a world we live in. Everybody knows everybody else. Dr. Michael J. Hall: It's crazy. More so than anyone I think I've met in my career; she is really a huge believer in mentorship and spending that extra time with your mentees. And she has been someone who has continued to promote me as an investigator and build me up and get me involved in things. And like I said, I've been in oncology now for quite a few years. But having that person who I think is always thinking about their trainees and people who have learned and grown under them, because what it does is it gives you that fire as well as an investigator to do the same thing for the people that you are a mentor for and train. So, I try to be just as good of a mentor to my genetic counselors and the fellows who come through me and my APPs to give them opportunities to get them excited about research and when they have these big moments to do that. So, yeah, I know Funmi just has had a huge impact on the field of genetics. I still remember some of our early conversations on the wards when she said to me, “Oh, this is such an interesting case. We don't really have anyone who's studying Lynch syndrome so much right now and you should really get into this area.” And I remember thinking, “Okay, I want to develop a niche and here's a niche that's waiting.” Dr. Rafeh Naqash: Clearly it paid off big time and you're paying it forward with your mentees. So, thank you again for joining us. This was an absolute pleasure. Hopefully, the listeners learned a lot about the science and also your journey and how you're trying to impact the field. Thank you for listening to JCO Precision Oncology Conversations. 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 asco.org/podcasts   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 opinion, 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 Precision Oncology Conversations is a monthly podcast featuring conversations with authors of clinically relevant and significant articles published in the JCO Precision Oncology journal. JCO Precision Oncology Conversations is hosted by the journal's social media editor, Dr. Abdul Rafeh Naqash.
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