JCO Precision Oncology Conversations

In this JCO Precision Oncology Article Insights episode, Natalie DelRocco summarizes "Genomic Risk Classifiers in Localized Prostate Cancer: Precise but Not Standardized" by Góes et al. published on September 10, 2025. TRANSCRIPT Natalie DelRocco: Hello and welcome to JCO Precision Oncology Article Insights. I'm your host, Natalie DelRocco, and today we will be discussing the editorial "Genomic Risk Classifiers in Localized Prostate Cancer: Precise but Not Standardized." This editorial by Góes, Li, and Chehrazi-Raffle, and Janopaul-Naylor et al. describes genomic risk classifiers, or GRCs, for patients with localized prostate cancer. Like any risk prediction model, GRCs are intended to help identify groups of patients that may benefit from less intense or more intense anticancer therapy. Risk prediction tools can be difficult to bring into clinical practice; they require a lot of validation. And as the authors describe, GRCs in localized prostate cancer are no exception. The authors of this editorial contextualize an article by Janopaul-Naylor et al., which attempts to retrospectively explore the clinical use of three available GRCs for localized prostate cancer: Decipher, Oncotype DX, and Prolaris. Each of these three GRCs is being used in clinical practice currently. In the original article, all three GRCs were associated with less intense therapy being prescribed in practice. However, the editorial authors note that this is likely selection bias due to the observational nature of the study design. It is conceivable that GRCs were more likely ordered to make decisions for patients who were already thought to be good candidates for less intensive therapy. Another weakness of the retrospective study design is that patient level covariates known to be associated with clinical prognosis in localized prostate cancer, such as staging, Gleason score, prostate specific antigen, were unavailable. The authors note that sampling bias may also be an issue. Uninsured patients are not included in the original article, and therefore may impede the ability to make conclusions about the association of GRC use with income level. The editorial authors highlight important study findings as well as these limitations, such as the heterogeneity of interventions following GRC result return. The Prolaris GRC was found to be associated with more surgical interventions, while the Decipher GRC was associated with more androgen deprivation therapy plus radiation. Additionally, patients with active surveillance were more likely to have a GRC in general ordered. While these conclusions are very interesting, the editorial authors note that further exploration and validation, given the retrospective study design and limitations outlined, are needed to fully understand the impact of GRCs in the practice of treating localized prostate cancer. Thank you for listening to JCO Precision Oncology Article Insights. Don't forget to give us a rating or a review and be sure to subscribe so that you never miss an episode. You can find all ASCO shows atasco.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.

Authors Drs. Jessica Ross and Alissa Cooper share insights into their JCO PO article, "Clinical and Pathologic Landscapes of Delta-Like Ligand 3 and Seizure-Related Homolog Protein 6 Expression in Neuroendocrine Carcinomas"  Host Dr. Rafeh Naqash and Drs. Ross and Cooper discuss the landscape of Delta-like ligand 3 (DLL3) and seizure-related homolog protein 6 (SEZ6) across NECs from eight different primary sites. 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 PO and an Associate Professor at the OU Health Stephenson Cancer Center. Today, I'm excited to be joined by Dr. Jessica Ross, third-year medical oncology fellow at the Memorial Sloan Kettering Cancer Center, as well as Dr. Alissa Cooper, thoracic medical oncologist at the Dana-Farber Cancer Institute and instructor in medicine at Harvard Medical School. Both are first and last authors of the JCO Precision Oncology article entitled "Clinical and Pathologic Landscapes of Delta-like Ligand 3 and Seizure-Related Homolog Protein 6 or SEZ6 Protein Expression in Neuroendocrine Carcinomas." At the time of this recording, our guest disclosures will be linked in the transcript. Jessica and Alissa, welcome to our podcast, and thank you for joining us today. Dr. Jessica Ross: Thanks very much for having us. Dr. Alissa Cooper: Thank you. Excited to be here. Dr. Rafeh Naqash: It's interesting, a couple of days before I decided to choose this article, one of my GI oncology colleagues actually asked me two questions. He said, "Rafeh, do you know how you define DLL3 positivity? And what is the status of DLL3 positivity in GI cancers, GI neuroendocrine carcinomas?" The first thing I looked up was this JCO article from Martin Wermke. You might have seen it as well, on obrixtamig, a phase 1 study, a DLL3 bi-specific T-cell engager. And they had some definitions there, and then this article came along, and I was really excited that it kind of fell right in place of trying to understand the IHC landscape of two very interesting targets. Since we have a very broad and diverse audience, especially community oncologists, trainees, and of course academic clinicians and some people who are very interested in genomics, we'll try to make things easy to understand. So my first question for you, Jessica, is: what is DLL3 and SEZ6 and why are they important in neuroendocrine carcinomas? Dr. Jessica Ross: Yeah, good question. So, DLL3, or delta-like ligand 3, is a protein that is expressed preferentially on the tumor cell surface of neuroendocrine carcinomas as opposed to normal tissue. It is a downstream target of ASCL1, and it's involved in neuroendocrine differentiation, and it's an appealing drug target because it is preferentially expressed on tumor cell surfaces. And so, it's a protein, and there are several drugs in development targeting this protein, and then Tarlatamab is an approved bi-specific T-cell engager for the treatment of extensive-stage small cell lung cancer in the second line. SEZ6, or seizure-like homolog protein 6, is a protein also expressed on neuroendocrine carcinoma cell surface. Interestingly, so it's expressed on neuronal cells, but its exact role in neuroendocrine carcinomas and oncogenesis is actually pretty poorly understood, but it was identified as an appealing drug target because, similarly to DLL3, it's preferentially expressed on the tumor cell surface. And so this has also emerged as an appealing drug target, and there are drugs in development, including antibody-drug conjugates, targeting this protein for that reason. Dr. Alissa Cooper: Over the last 10 to 15 years or so, there's been an increasing focus on precision oncology, finding specific targets that actually drive the cancer to grow, not just within lung cancer but in multiple other primary cancers. But specifically, at least speaking from a thoracic oncology perspective, the field of non-small cell lung cancer has completely exploded over the past 15 years with the discovery of driver oncogenes and then matched targeted therapies. Within the field of neuroendocrine carcinomas, including small cell lung cancer but also other high-grade neuroendocrine carcinomas, there has not been the same sort of progress in terms of identifying targets with matched therapies. And up until recently, we've sort of been treating these neuroendocrine malignancies kind of as a monolithic disease process. And so recently, there's been sort of an explosion of research across the country and multiple laboratories, multiple people converging on the same open questions about why might patients with specific tumor biologies have different kind of responses to different therapies. And so first this came from, you know, why some patients might have a good response to chemo and immunotherapy, which is the first-line approved therapy for small cell lung cancer, and we also sort of extrapolate that to other high-grade neuroendocrine carcinomas. What's the characteristic of that tumor biology? And at the same time, what are other targets that might be identifiable? Just as Jesse was saying, they're expressed on the cell surface, they're not necessarily expressed in normal tissue. Might this be a strategy to sort of move forward and create smarter therapies for our patients and therefore move really into a personalized era for treatment for each patient? And that's really driving, I think, a lot of the synthesis of this work of not only the development of multiple new therapies, but really understanding which tumor might be the best fit for which therapy. Dr. Rafeh Naqash: Thank you for that explanation, Alissa. And as you mentioned, these are emerging targets, some more further along in the process with approved drugs, especially Tarlatamab. And obviously, DLL3 was something identified several years back, but drug development does take time, and readout for clinical trials takes time. Could you, for the sake of our audience, try to talk briefly about the excitement around Tarlatamab in small cell lung cancer, especially data that has led to the FDA approval in the last year, year and a half? Dr. Alissa Cooper: Sure. Yeah, it's really been an explosion of excitement over, as you're saying, the last couple of years, and work really led by our mentor, Charlie Rudin, had identified DLL3 as an exciting target for small cell lung cancer specifically but also potentially other high-grade neuroendocrine malignancies. Tarlatamab is a DLL3-targeting bi-specific T-cell engager, which targets DLL3 on the small cell lung cancer cells as well as CD3 on T cells. And the idea is to sort of introduce the cancer to the immune system, circumventing the need for MHC class antigen presentation, which that machinery is typically not functional in small cell lung cancer, and so really allowing for an immunomodulatory response, which had not really been possible for most patients with small cell lung cancer prior to this. Tarlatamab was tested in a phase 2 registrational trial of about 100 patients and demonstrated a response rate of 40%, which was very exciting, especially compared with other standard therapies which were available for small cell lung cancer, which are typically cytotoxic therapies. But most excitingly, more than even the response rate, I think, in our minds was the durability of response. So patients whose disease did have a response to Tarlatamab could potentially have a durable response lasting a number of months or even over a year, which had previously not ever been seen in this in the relapsed/refractory setting for these patients. I think the challenge with small cell lung cancer and other high-grade neuroendocrine malignancies is that a response to therapy might be a bit easier to achieve, but it's that durability. The patient's tumors really come roaring back quite aggressively pretty quickly. And so this was sort of the most exciting prospect is that durability of response, that long potential overall survival tail of the curve really being lifted up. And then most recently at ASCO this year, Dr. Rudin presented the phase 3 randomized controlled trial which compared Tarlatamab to physician's choice of chemotherapy in a global study. And the choice of chemotherapy did vary depending on the part of the world that the patients were enrolled in, but in general, it was a really markedly positive study for response rate, for progression-free survival, and for overall survival. Really exciting results which really cemented Tarlatamab's place as the standard second-line therapy for patients with small cell lung cancer whose disease has progressed on first-line chemo-immunotherapy. So that has been very exciting. This drug was FDA approved in May of 2024, and so has been used extensively since then. I think the adoption has been pretty widespread, at least in the US, but now in this global trial that was just presented, and there was a corresponding New England Journal paper, I think really confirms that this is something we really hopefully can offer to most of our patients. And I think, as we all know, that this therapy or other therapies like it are also being tested potentially in the first-line setting. So there was data presented with Tarlatamab incorporated into the maintenance setting, which also showed exciting results, albeit in a phase 1 trial, but longer overall survival than we're used to seeing in this patient population. And we await results of the study that is incorporating Tarlatamab into the induction phase with chemotherapy as well. So all of this is extraordinarily exciting for our patients to sort of move the needle of how many patients we can keep alive, feeling functional, feeling well, for as long as possible. Dr. Rafeh Naqash: Very exciting session at ASCO. I w

In this episode of JCO PO Article Insights, host Dr. Jiasen He summarizes the article, "Somatic Mutation Profiles of Colorectal Cancer by Birth Cohort" by Gilad, et al published October 11, 2025. TRANSCRIPT Jiasen He: Hello, and welcome to the JCO Precision Oncology Article Insights. I am your host, Jiasen He, and today, we will be discussing the JCO Precision Oncology article, "Somatic Mutation Profiles of Colorectal Cancer by Birth Cohort," by Dr. Gilad and colleagues. Early-onset colorectal cancer is defined as colorectal cancer diagnosed before the age of 50. Several reports have suggested that early-onset colorectal cancer has unique characteristics. Compared with late-onset colorectal cancer, early-onset colorectal cancer cases are more commonly found in the distal colon or rectum, tend to be diagnosed at more advanced stages, and may display unfavorable histologic features. Although the overall incidence of colorectal cancer has declined in recent decades, the incidence of early-onset colorectal cancer continues to rise. This increase appears to be driven by birth cohort effects. The reasons behind this rise remain unclear but are likely multifactorial, involving changes in demographics, diet, lifestyle, environmental exposures, and genetic predisposition. At the same time, studies have shown conflicting results regarding whether there are differences in the mutation profiles between early-onset and late-onset colorectal cancer. Therefore, it is crucial to explore whether colorectal cancer somatic mutational landscape differs across birth cohorts, as this could provide important insight into generational shifts in colorectal cancer incidence. To address this question, the authors conducted a retrospective study to characterize the mutation spectrum of colorectal cancer across different birth cohorts. Consecutive colorectal cancer patients who underwent somatic next-generation sequencing at the University of Chicago pathology laboratory between 2015 and 2022 were retrospectively identified. Tumors were tested for 154 to 168 genes and categorized as either microsatellite stable or high according to established thresholds. Patients with hereditary cancer syndromes or inflammatory bowel disease were excluded. Participants were then grouped into birth cohorts by decades, as well as into two major groups: those born before 1960 and after 1960. Genes that were identified in at least 5% of the sample were selected and grouped into 10 canonical cancer signaling pathways. These genes and pathways were then included in the analysis to explore their association with colorectal cancer across different birth cohorts and age groups. A total of 369 patients were included in the study, with a median birth year of 1955 and a median age at colorectal cancer diagnosis of 62.9 years. 5.4% were identified as having microsatellite-high tumors. The median tumor mutational burden was 5 mutations per megabase for microsatellite-stable tumors and 57.7 mutations per megabase for microsatellite-high tumors. Patients with microsatellite-high tumors tended to have earlier birth years and were diagnosed at an older age. However, after adjusting for potential confounders, neither birth year nor age remained statistically significant. Similarly, after controlling for confounders, no significant associations were observed between birth year or age and mutation burden. In this cohort, APC, TP53, and KRAS were the most frequently mutated genes. No statistically significant differences in the prevalence of gene mutations were observed across birth cohorts. Correspondingly, the most affected signaling pathways were the Wnt, TP53, and (RTK)/RAS pathways. Similar to the gene-level finding, no significant differences in the prevalence of these pathways were identified among birth cohorts. When examining patients born before and after 1960, the authors found that the older birth cohorts were diagnosed at an older age and had higher tumor mutational burden. However, no significant differences were observed in any of the genes or pathways analyzed. Among microsatellite-stable tumors, 18.3% were classified as early-onset colorectal cancer, while 81.1% were late-onset colorectal cancer. Consistent with previous reports, early-onset colorectal cancers in this cohort were more likely to be left-sided and more common among more recent birth cohorts. However, no significant differences were identified in any of the examined genes or pathways when comparing early-onset to late-onset colorectal cancer. In this cohort, a higher prevalence of early-onset colorectal cancer was observed among more recent birth cohorts, consistent with previous reports. Still, no distinct mutational signature was identified between the early and late birth cohorts. The authors proposed that the lack of distinct mutational profile by age or birth cohort may be due to the limited number of key molecular pathways driving colorectal cancer. Although environmental exposures likely differ across generations, the downstream effects may have converged on similar biological mechanisms, leading to comparable somatic mutations across cohorts. Alternately, they proposed that the observed birth cohort differences in colorectal incidence may be driven by distinct mutation signatures, epigenetic alterations, or changes in the immune microenvironment rather than variations in canonical gene mutations. As the authors noted, given the retrospective nature of this study, its modest sample size, and the predominance of advanced-stage tumors, larger prospective studies are needed to validate these findings. In summary, this study found no significant differences in the mutational landscape of colorectal cancer across birth cohorts or age groups. The authors proposed that the generational shift in colorectal cancer incidence is unlikely to be driven by changes in the underlying tumor genomics. However, larger prospective studies are needed to validate these findings. Thank you for tuning in to JCO Precision Oncology Article Insights. Do not forget to subscribe and join us next time as we explore more groundbreaking research shaping the future of oncology. 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.

JCO PO author Dr. Bryson Katona at the University of Pennsylvania Perelman School of Medicine shares insights into his article, "Areas of Uncertainty in Pancreatic Cancer Surveillance: A Survey Across the International Pancreatic Cancer Early Detection (PRECEDE) Consortium" Host Dr. Rafeh Naqash and Dr. Katona discuss how, given differing guidelines as well as lack of detail about how PC surveillance should be performed, approaches to PC surveillance across centers often differs. TRANSCRIPT 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 am your host, Dr. Rafeh Naqash, podcast editor for JCO Precision Oncology and Associate Professor at the OU Health Stephenson Cancer Center at the University of Oklahoma. Today, I am thrilled to be joined by Dr. Bryson Katona, Director of the Gastrointestinal Cancer Genetics Program and Director of the Lynch Syndrome Program at the Penn Medicine's Abramson Cancer Center, and also lead author of the JCO PO article entitled "Areas of Uncertainty in Pancreatic Cancer Surveillance: A Survey Across the International Pancreatic Cancer Early Detection or PRECEDE Consortium." Bryson, thanks for joining us again. Dr. Bryson Katona: Well, thank you so much for having me. I appreciate the opportunity. Dr. Rafeh Naqash: It is exciting to see that this work will be presented concurrently with the upcoming CGA meeting. Dr. Bryson Katona: Yes, it has been a fantastic partnership between JCO PO and the CGA-IGC and their annual meeting. And for those who may not be familiar, the CGA-IGC is the Collaborative Group of the Americas on Inherited Gastrointestinal Cancer. It is basically a professional organization dedicated to individuals who have hereditary GI cancer risk and focusing on providing education, promoting research, and really bringing together providers in this space from not just throughout the US but from across the globe as well. Dr. Rafeh Naqash: That is exciting to hear the kind of work you guys are doing. These are definitely interesting, exciting things. Now, going to what you have published, it is an area that is very evolving in the space of cancer screening, cancer surveillance, especially for a very aggressive cancer such as pancreatic cancer. Could you tell us currently, what are the general consensus? I know there are a lot of differences between different guidelines or societies, but what are the some of the commonalities if we were to start there first for pancreas cancer screening? If you are not a GI oncologist, you may not be aware that there is something with regards to pancreas cancer screening. Could you give us an overview and a background on that? Dr. Bryson Katona: Yeah, I think that pancreatic cancer screening really is one of the most controversial areas of all cancer screening. Part of that controversy is just because all the guidelines, the many different guidelines that are out there, do not always match up with one another, which I think leads to a lot of confusion, not just for providers but for patients who are trying to go through this, and then also the insurance companies in trying to get these screening tests covered. You know, when we think about who is eligible for pancreatic cancer screening, you know, it is important that these are not average-risk individuals. So really, we are only offering screening to high-risk individuals. And those can include people that have a strong family history of pancreatic cancer without a germline genetic susceptibility that has been identified. And those individuals we refer to as having familial pancreatic cancer. And the other big cohort is those individuals that carry hereditary pancreatic cancer predisposition. These are due to cancer risk mutations in many different genes, including many of the breast cancer risk genes like BRCA1 and BRCA2, as well as ATM and PALB2, but then other genes such as the Lynch syndrome genes, and then some of the higher risk genes such as those leading to Peutz-Jeghers syndrome as well as FAM, which is due to CDKN2A mutations. Dr. Rafeh Naqash: Thank you for that. Again, another practical question, and this may or may not be exactly related to your specific topic here, but perhaps to some extent there might be an overlap. If I get a patient from a colleague, and I see people in the early-phase clinical trial setting, so many different tumors for novel drugs, and I find an individual with, let us say, lung cancer who has a pathogenic BRCA2, which is somatic, should I be worried about pancreas cancer screening in that individual? Or have we not met that threshold yet in that circumstance? Dr. Bryson Katona: A lot of times these variants or these genes that are associated with pancreatic cancer risk get picked up on the somatic tumor profiles. Now, you know, whether or not those are truly germline variants typically requires the next step of referring the patient for germline genetic testing. So you know, I would not screen or make any kind of screening choices based on a somatic variant alone, but nowadays germline testing is so easy, so efficient, and relatively cheap that it is easy enough to confirm whether or not these somatic hits are in fact just somatic or may confer some germline risk in addition. Dr. Rafeh Naqash: So from what I understand from what you have said, there is debate about it, but it is something that should be done or is important enough that you need to figure out a path moving forward. Was that one of the reasons why you performed this project through this very interesting consortium called the PRECEDE Consortium? Dr. Bryson Katona: Yeah, that was one of our main reasons for doing this. And for those who do not know about the PRECEDE Consortium, this is a very large international, multi-institutional organization really focused on reducing death and improving survival from pancreatic cancer, primarily through increased and more effective use of screening and early detection strategies. This is an international consortium. There are over 50 sites now with nearly 10,000 patients who are enrolled in the consortium. So it really is at this point the largest prospective study of individuals who are at high risk for pancreatic cancer who are undergoing screening. And you know, I think amongst all of us in the consortium, just amongst discussions between colleagues and then, you know, often times when I see patients that are transferring their care to Penn who maybe had their screening done in another center before, what we were realizing is that, you know, although we all do a lot of screening, it seems that people are doing it slightly differently. And it does not seem that there is a real consensus approach across all centers about how pancreatic cancer screening should really be done. And it is one thing if you are thinking comparing, okay, well, maybe in the US we do it differently than, you know, in Europe or in other locations, but even among centers within the United States, we were still seeing very large differences in how pancreatic cancer screening in high-risk individuals were done. And so that led us to really pursue this survey of pancreatic cancer screening practices across the PRECEDE Consortium. So for this survey, we actually have 57 centers who the survey was sent out to. As you know, surveys are oftentimes very difficult to get good response rates back on, but we were fortunate to have 54 of the 57, or 95% of the centers, actually get back to us about their screening practices for this particular project. Dr. Rafeh Naqash: That is good to know. I hope you did not have to use any kind of gift cards for people to respond to the survey. But nevertheless, you got the information that you needed. Could you tell us what are some of the common denominators that you did identify and some of the differences that you identified? From your perspective, it sounds like there is no established consensus guidelines. There are different societies that have different perspectives on it. So I am sure some of what you found will probably have implications in maybe creating some guidelines. Is that a fair statement? Dr. Bryson Katona: Definitely a fair statement, and we found some very interesting results. I think one important result is really just the heterogeneity in the consortium. And so even before we got into pancreatic cancer screening practices, we also, we were asking consortium sites, "At your particular site, who is the individual that is leading these in-depth discussions about pancreatic cancer screening?" And while about 50% of the sites had a gastroenterologist leading it, about a quarter of the sites had a medical oncologist, a quarter had a surgeon leading these discussions as well. And we also found heterogeneity in who is the physician or the provider actually ordering these screening tests, again, with multiple different specialties across the different sites. But really one of the main areas that we wanted to hone in and focus on was how the different pancreatic cancer screening guidelines were actually utilized in each of the particular centers. The biggest controversial area in the field is for the gene mutation carriers, whether or not we should be requiring that a family history of pancreatic cancer be present in order for those individuals to qualify for pancreatic cancer screening. And the reason that is so controversial, let us take an example of BRCA1 and BRCA2 carriers. Currently, if you look through the guidelines, NCCN and the ASGE guidelines recommend that really all BRCA2 carriers undergo pancreatic cancer screening regardless of whether or not there is a family history, starting at age 50. However, other guidelines such as the AGA guidelines, or the AGA Clinical Practice Statement, as well as guidelines from the CAPS consortium, do recommend that a family history

JCO PO author Dr. Asaf Maoz at Dana-Farber Cancer Institute shares insights into article, "Causes of Death Among Individuals with Lynch Syndrome in the Immunotherapy Era." Host Dr. Rafeh Naqash and Dr. Maoz discuss the causes of death in individuals with LS and the evolving role of immunotherapy. 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 Associate Professor Medicine, at the OU Health Stephenson Cancer Center. Today, I'm super thrilled to be joined by Dr. Asaf Maoz, Medical Oncologist at Dana-Farber Cancer Institute, Brigham and Women's Hospital, and faculty at the Harvard Medical School, and also lead author on the JCO Precision Oncology article entitled "Causes of Death Among Individuals with Lynch Syndrome in the Immunotherapy Era." This publication will be a concurrent publication with an oral presentation at the annual CGA meeting. At the time of this recording, our guest's disclosures will be linked in the transcript. Asaf, I'm excited to welcome you on this podcast. Thank you for joining us today. Dr. Asaf Maoz: Thank you so much for highlighting our paper. Dr. Rafeh Naqash: Absolutely. And I was just talking to you that we met several years back when you were a trainee, and it looks like you've worked a lot in this field now, and it's very exciting to see that you consider JCOPO as a relevant home for some of your work. And the topic that you have published on is of significant interest to trainees from a precision medicine standpoint, to oncologists in general, covers a lot of aspects of immunotherapy. So, I'm really excited to talk to you about all of this. Dr. Asaf Maoz: Me too, me too. And yeah, I think JCOPO has great content in the area of cancer genetics and has done a lot to disseminate the knowledge in that area. Dr. Rafeh Naqash: Wonderful. So, let's get started and start off, given that we have hosts of different kinds of individuals who listen to this podcast, especially when driving from home to work or back, for the sake of making everything simple, can we start by asking you what is Lynch syndrome? How is it diagnosed? What are some of the main things to consider when you're trying to talk an individual where you suspect Lynch syndrome? Dr. Asaf Maoz: Lynch syndrome is an inherited predisposition to cancer, and it is common. So, we used to think that, or there's a general notion in the medical community that it is a rare condition, but we actually know now from multiple studies, including studies that look at the general population and do genetic testing regardless of any clinical phenotype, that Lynch syndrome is found in about 1 in 300 people in the general population. If you think about it in the United States, that means that there are over a million people living with Lynch syndrome in the United States. Unfortunately, most individuals with Lynch syndrome don't know they have Lynch syndrome at the current time, and that's where a lot of the efforts in the community are being made to help detect more individuals who have Lynch syndrome. Lynch syndrome is caused by pathogenic germline variants in mismatch repair genes, MLH1, MSH2, MSH6, or PMS2, or as a result of pathogenic variants in EPCAM that cause silencing of the MSH2 gene. Dr. Rafeh Naqash: Excellent. Thank you for that explanation. Now, one of the other things I also realized, similar to BRCA germline mutations, where you require a second hit for individuals with Lynch syndrome to have mismatch repair deficient cancers, you also require a second hit to have that second hit result in an MSI-high cancer. Could you help us understand the difference of these two concepts where generally Lynch syndrome is thought of to be cancers that are mismatch repair deficient, but that's not necessarily true for all cases as we see in your paper. Can you tease this out for us a little bit more? Dr. Asaf Maoz: Of course, of course. So, the germline defect is in one of the mismatch repair genes, and these genes are responsible for DNA mismatch repair, as their name implies. Now, in a normal cell, we think that one working copy is generally enough to maintain the mismatch repair machinery intact. What happens in tumors, as you alluded to, is that there is a second hit in the same mismatch repair gene that has the pathogenic germline variant, and that causes the mismatch repair machinery not to work anymore. And so what happens is that there is formation of mutations in the cancer cell that are not present in other cells in the body. And we know that there are specific types of mutations that are associated with defects in mismatch repair mechanisms, and those are associated a lot of times with frameshift mutations. And we have termed them 'microsatellites'. So there are areas in the genome that have repeats, for example, you know, if you have AAAA or GAGA, and those areas are particularly susceptible to mutations when the mismatch repair machinery is not working. And so we can measure that with DNA microsatellite instability testing. But we can also get a sense of whether the mismatch repair machinery is functioning by looking at protein expression on the surface of cancer cells and by doing immunohistochemistry. More recently, we're also able to infer whether the mismatch repair machinery is working by doing next-generation sequencing and looking at many, many microsatellites and whether they have this DNA instability in the microsatellites. Dr. Rafeh Naqash: Excellent explanation. As a segue to what you just mentioned, and this reminds me of some work that one of my good friends, collaborators, Amin Nassar, whom you also know, I believe, had done a year and a half back, was published in Cancer Cell as a brief report, I believe, where the concept was that when you look at these mismatch repair deficient cancers, there is a difference between NGS testing, IHC testing, and maybe to some extent, PCR testing, where you can have discordances. Have you seen that in your clinical experience? What are some of your thoughts there? And if a trainee were to ask, what would be the gold standard to test individuals where you suspect mismatch repair deficient-related Lynch syndrome cancers? How would you test those individuals? Dr. Asaf Maoz: We do sometimes see discordance, you know, from large series, the concordance rate is very high, and in most series it's over 95%. And so from a practical perspective, if we're thinking about the recommendation to screen all colorectal cancer and all endometrial cancer for mismatch repair deficiency, I think either PCR-based testing or immunohistochemistry is acceptable because the concordance rate is very high. There are rare cases where it is not concordant, doing multiple of the tests makes sense at that time. If you think about the difference between the tests, the immunohistochemistry looks at protein expression, which is a surrogate for whether there is mismatch repair deficiency or not, right? Because ultimately, the mismatch repair deficiency is manifested in the mutations. So if the PCR does not show microsatellite instability and now NGS does not show microsatellite instability, the IHC may be a false positive. At the end of the day, the functional analysis of whether there are actually unstable microsatellites either by PCR or by NGS is what I would consider more informative. But IHC again is an excellent test and concordant with those results in over 95% of cases. Now there is also an issue of sampling. It's possible that there's heterogeneity within the tumor. We published a case in JCOPO about heterogeneity of the mismatch repair status, and that was both by immunohistochemistry, but also by PCR. So there are some caveats and interpreting these tests does require some expertise, and I'm always happy to chat with trainees or whoever has an interesting or challenging case. Dr. Rafeh Naqash: Thanks again for that very easy to understand explanation. Now going to management strategies, could you elaborate a little bit upon the neo-adjuvant data currently, or the metastatic data which I think more people are familiar with for immunotherapy in individuals with MSI-high cancers? Dr. Asaf Maoz: Yeah, that's an excellent question and obviously a very broad topic. Individuals with Lynch syndrome typically develop tumors that are mismatch repair deficient or microsatellite unstable. And we have seen over the last 15 years or so that these tumors, because they have a lot of mutations and because these mutations are very immunogenic, we have seen that they respond very well to immunotherapy. And this has been shown across disease sites and has been shown across disease settings. And for that reason, immunotherapy was approved for MSI-high or mismatch repair deficient cancer regardless of the anatomic site. It was the first tissue-agnostic approval by the FDA in 2017. And so there are exciting studies both in the metastatic setting where we see individuals who respond to immunotherapy for many years, and one could wonder whether their cancer is going to come back or not. And also in the earlier setting, for example, the Cercek et al. study in the New England Journal from Sloan Kettering, where they showed that neoadjuvant immunotherapy can cause durable responses for rectal cancer that is mismatch repair deficient. And in that series, the patients did not require surgery or radiation, which is standard of care for rectal cancer otherwise. And there's also exciting data in the adjuvant space, as was presented in ASCO by Dr. Sinicrope, the ATOMIC study, and many more efforts to bring immunotherapy into the treatment landscape for individuals with MSI-high cancer, including individuals with Lynch syndrome. Dr. Rafeh Naqash: A lot of activity, especi

In this JCO Precision Oncology Article Insights episode, Dr. Jiasen He summarizes JCO PO article "Synthetic Lethal Co-Mutations in DNA Damage Response Pathways Predict Response to Immunotherapy in Pan-Cancer" by Hua Zhong et al. TRANSCRIPT Jiasen He: Hello and welcome to the JCO Precision Oncology Article Insights. I am your host, Jiasen He, and today we will be discussing the JCO Precision Oncology article, "Synthetic Lethal Co-mutations in DNA Damage Response Pathway Predict Response to Immunotherapy in Pan-Cancer" by Dr. Zhang and colleagues. Immunotherapy has emerged as a groundbreaking treatment option for many types of cancer. However, the overall response rate to immunotherapy is low, around 10% to 30%. This highlights the critical need to identify which patients are most likely to benefit from immunotherapy. Two of the most extensively studied biomarkers are PD-L1 expression and tumor mutation burden (TMB). High levels of PD-L1 and TMB have been associated with better response to immune checkpoint inhibitors, which are now widely used in clinical practice. The predictive value of these markers is inconsistent across all settings. Some tumors with high PD-L1 or TMB still respond poorly to immunotherapy. One reason is that TMB reflects new antigen production, but recent studies suggest that new antigen levels do not always correlate with tumor immunogenicity. Many new antigens are not effectively recognized by T cells, limiting the immune response. Emerging evidence indicates that mutations in the DNA damage response (DDR) pathway play a critical role in moderating tumor immune interactions. Tumors harboring DDR pathways frequently exhibit increased genome instability, which may enhance their sensitivity to immune checkpoint inhibitors. While all these pathways are under active investigation, the optimal DDR pathway biomarkers for patient selection remain unclear. Notably, tumor cells with a defect in one DDR pathway may acquire greater reliance on alternative DDR pathways. Recent studies suggest that synthetic lethal co-mutations within DDR pathways are associated with immune-inflamed or hot tumor microenvironments. Based on this rationale, Dr. Zhang is investigating if synthetic lethal co-mutations in DDR pathway response pathway can serve as a treatment biomarker for immune checkpoint inhibitors. To address this question, Dr. Zhang and colleagues first utilized SynLethDB 2.0, a comprehensive database that integrated multiple data sets. Synthetic lethal (SL) gene pairs in this resource are identified through both experimental and computational approaches, with confidence scores assigned to each pair. These SL pairs were then mapped to gene sequencing results from several clinical cohorts. SL co-mutation status was defined as positive when both genes in a synthetic lethal pair were mutated. From this, SL co-mutation pairs specifically involving DDR pathway genes were selected. Patients were classified as DDR co-mutation positive if both genes in a synthetic lethal pair, each belonging to the defined DDR pathways, were mutated. In total, 431 DDR-related SL pairs were identified and matched to sequencing data from clinical cohorts. Clinical information was extracted from the cBioPortal, while further analysis of immune infiltration was performed using DNA mutation and RNA expression data from The Cancer Genome Atlas (TCGA) pan-cancer data set. The author first examined the correlation between SL co-mutation status and response to ICI therapy. They discovered that patients with SL co-mutation showed significantly improved outcome to ICI therapy across various clinical cohorts. Notably, in patients who did not receive ICI treatment, patients with SL co-mutation showed markedly compromised overall survival. Further analysis focused on the predictive value of SL co-mutation within DDR pathway genes. The author found that patients with DDR SL co-mutation had a longer overall survival compared to those with mutations in a single DDR gene, implying that SL co-mutations may be more effective biomarkers within the DDR pathway. To explore this further, in the TMB-MSKCC cohort, the author found that patients with DDR co-mutation constituted approximately 20% of various cancer types, including non-small cell lung cancer, melanoma, and bladder cancer. These patients demonstrated significantly better survival outcomes and disease control rates when treated with ICIs compared to DDR co-mutation negative patients. Notably, the TMB level was substantially higher in patients with DDR co-mutation, a finding consistent with data from the Miao-lung cohort. Furthermore, in cohorts not treated with ICIs, patients with DDR co-mutation had a shorter overall survival compared to their counterparts. Upon stratifying by PD-L1 expression, the author observed that patients with DDR co-mutation who were also PD-L1 positive derived the greatest clinical benefit from ICI therapy. Upon analyzing the frequency of co-mutation within the DDR pathway, the authors found that patients with SL co-mutation in the CPF-CPF pathway experienced remarkable survival benefit from ICIs. Within this group, one of the most common co-mutation combinations was TP53-ATM, observed in approximately 45% of cases, which was associated with a better response to ICI therapy. Further analysis of immune cell infiltration revealed that patients with TP53-ATM co-mutation exhibited a distinct tumor immune microenvironment. As the authors stated, the study's main limitation lies in the nature of retrospective analysis, which lacked the control over confounding variables and was subject to non-random sampling. For instance, patients with both SL co-mutations and DDR SL co-mutations exhibited high TMB, and TMB was known to be associated with improved response to ICI therapy itself. So, these findings require validation through prospective studies, and immune infiltration analysis needs confirmation via laboratory experiments. In conclusion, the authors found that patients with SL co-mutations in DDR pathways showed favorable clinical response and prolonged survival following ICI therapy. They also identified TP53-ATM co-mutations as a clinically relevant biomarker for predicting ICI treatment response. Thank you for tuning in to 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. 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.  

JCO PO authors Dr. Abhishek Tripathi and Dr. Salvador Jaime-Casas at City of Hope Comprehensive Cancer Center share insights into their article, "Comparative Genomic Characterization of Small Cell Carcinoma of the Bladder Compared With Urothelial Carcinoma and Small Cell Lung Carcinoma."  Host Dr. Rafeh Naqash and Drs. Tripathi and Jaime-Casas discuss a novel understanding of the genomic alterations underlying SCBC, revealing actionable mutations that could serve as potential targets for improved clinical 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 am your host, Dr. Dr. Rafeh Naqash, Podcast Editor for JCO Precision Oncology and Associate Professor at the OU Health Stephenson Cancer Center at the University of Oklahoma. Today, I am thrilled to be joined by Dr. Abhishek Tripathi, Associate Professor in the Department of Medical Oncology and Experimental Therapeutics Research at the City of Hope Comprehensive Cancer Center, as well as his mentee, Dr. Salvador Jaime-Casas, postdoctoral research fellow and first author of the JCO Precision Oncology article entitled "Comparative Genomic Characterization of Small Cell Carcinoma of the Bladder Compared with Urothelial Carcinoma and Small Cell Lung Carcinoma". At the time of this recording, our guest disclosures will be linked in the transcript. Abhishek and Salvador, welcome to our podcast and thank you for joining us today. This is a very interesting topic given that at least the landscape for neuroendocrine carcinomas, where small cell lung cancer is on one end of the spectrum, has been changing, at least on the lung cancer side, with recent approvals and some new ADCs. So, of course, understanding the genomic and transcriptomic similarities or differences between pulmonary small cell and extrapulmonary small cell is of huge interest. Could you tell us a little bit about small cell bladder cancer, current approaches to treatment of small cell bladder cancer, and then why you wanted to investigate that in this project as far as the genomic differences or similarities are concerned? Dr. Salvador Jaime-Casas: Well, first of all, thank you very much for having me. I am very excited to be here. And really what served as backbone for this research project was the notion that there is a currently evolving genomic landscape in the area of bladder cancer. We know this is a highly heterogeneous disease when it comes to molecular underpinnings and mutational profile. Specifically, we know that the most common histologic subtype is urothelial carcinoma. Small cell bladder cancer represents a histology that is found in less than 1% of all bladder cancer cases. However, it is one of the most aggressive histologies. It presents with a very poor prognosis to patients and very poor response to treatment, which is why we attempted to really elucidate what is the mutational profile behind this and provide a comparison contrast between small cell bladder cancer, small cell lung cancer, and conventional urothelial carcinoma. As your question mentioned, in terms of treatment, the conventional urothelial carcinoma and small cell bladder cancer are two distinct pathways when it comes to treatment algorithms. We know that in the current era there are newer and newer drugs being developed for conventional urothelial carcinoma. We have perioperative immunotherapy in the context of metastatic disease. We have antibody-drug conjugates such as enfortumab vedotin. But really, this amazing track record of drug development hasn't been mirrored in small cell bladder cancer. And here most of the therapy is usually extrapolated from studies from other small cell histologies like you mentioned earlier, small cell lung cancer has given some form of background in terms of what therapies are used here. Cytotoxic chemotherapy, for some patients with localized disease and small cell bladder cancer, concurrent chemotherapy and radiotherapy or perioperative cytotoxic chemotherapy have been the cornerstone of treatment for many years now. However, like I mentioned, the oncologic outcomes are very suboptimal when it comes to comparing it with other disease histologies, which is why we really wanted to describe the landscape here and provide this comparison across three different groups. For this particular study, we leveraged the Tempus dataset. So, include patients with urothelial carcinoma with small cell bladder cancer and small cell lung cancer. We included their demographic information, as well as the frequency of most common genomic alterations identified. And really, it was a very comparable Table 1. We see the demographic data across the three groups was very similar. One key thing that we identified was the female prevalence was a little bit lower in patients with small cell bladder cancer when compared to small cell lung cancer. But other than that, the age, race, ethnicity, was comparable across groups, and even the smoking history. Most of the patients in this cohort were former smokers, which we believe comes to explain that regardless of any mutational profile that we talked about in a few minutes, there are shared commonalities between these histologies and shared environmental exposures and risk factors that are going to be implicated in the disease biology for these three histologies. Dr. Rafeh Naqash: Thank you so much, Salvador, for that useful background. I would like to shift to Abhishek real quick. Abhishek, you are a practicing clinician, you have led several studies in the GU space, especially bladder. Based on what you see in the small cell lung cancer space, how drug development is shaping up, which aligns with what you are trying to evaluate in this paper as targets, how do you see some of that being implemented for small cell bladder cancer in the current era and age? Abhishek Tripathi: Thanks so much for the excellent question, Rafeh. As a GU investigator, small cell bladder cancer has always lagged behind in some regards regarding enrollment abilities for the novel clinical trials. And small cell lung cancer has paved the way and led the development of a lot of these drugs across the board. With the most recent sort of drugs targeting DLL3 already approved and several antibody-drug conjugates currently in development. That actually translates really well to how we should approach drug development in bladder cancer. What we saw in the study is that although there are overlaps and similarities between small cell lung cancer and small cell bladder cancer, there are also certain differences. So the long-term assumption that all therapies for small cell bladder cancer can be extrapolated to small cell bladder], may or may not be true, and I think it is high time that we specifically investigate these novel agents in tissue-specific small cell carcinomas. To that effect, we are excited to be participating in trials that are looking at some of the novel DLL3 targeted agents, specifically bispecific antibodies and T cell engagers so to speak, and antibody-drug conjugates that are now starting to open enrollment specifically in non-lung cancer cohorts to evaluate its efficacy. So overall, I think studies like this have the opportunity to identify more putative targets for organ-specific development of these novel agents. Dr. Rafeh Naqash: Absolutely, I could not agree more. I think tumor-agnostic therapies definitely have a place, but not all therapies work the same in different tumors with a similar histological or genomic background because there are definitely differences. So now going to the comparison that Salvador, you guys did in this project, could you help us understand what are some of the things you looked at, what were some of the commonalities and the differences, and what were some of the conceptual thoughts that come out from those results? Dr. Salvador Jaime-Casas: Of course. So, the first thing that we identified was which were the most frequent molecular alterations across these histologies. We actually provided a table showcasing how the most common mutations that we identified were TP53, TERT, RB1. However, like Dr. Tripathi mentioned, the distinction between these histologies is notable in the sense that some are more predominant in small cell-pertaining cancers such as bladder cancer and lung cancer. While some others are more common in bladder-pertaining malignancies like urothelial carcinoma and small cell bladder cancer. For instance, we saw that TP53 and RB1 were significantly more evident in small cell histologies, both small cell bladder cancer and small cell lung cancer, as opposed to conventional urothelial carcinoma, which really this mirrors what is known about these mutations and what has been published. These are markers associated with more aggressive disease with a worse prognosis and even to resistance to treatment. We also identified how TERT mutations were characteristically more prevalent in small cell bladder cancer as opposed to small cell lung cancer, as well as in urothelial carcinoma. TERT mutations were more commonly identified than in small cell lung cancer. And we give a long list of these mutations that we identified, but really what we wanted to underscore here was, A, the most common mutations across histologies; B, the most common co-occurring mutations where we saw that these are not mutually exclusive. A lot of patients had co-occurring TP53 and RB1 or RB1 and TERT or RB1 and ARID1A, really elucidating how heterogeneous this molecular landscape is across histologies. And the third one that we believe really brings down the clinical impact of this research was evidencing the idea of clinically actionable mutations. We also provided a table here showcasing how mutations like FGFR, DLL notch pathway, HER2, were evident in these histologies, and

In this JCO PO Article insights episode, Dr. Jiasen He summarized the JCO PO article "Mucin 16–Directed Therapy in Pediatric Sarcomas: Case Evidence of Ubamatamab Efficacy in Epithelioid Sarcoma and Its Implications for Other Sarcoma Subtypes" by Connolly et al. TRANSCRIPT Jiasen He: Hello, and welcome to JCO Precision Oncology Article Insights. I'm your host, Jiasen He, and today we'll be discussing the JCO Precision Oncology article, "Mucin 16-Directed Therapy in Pediatric Sarcomas: Case Evidence of Ubamatamab Efficacy in Epithelioid Sarcoma and Its Implication for Other Sarcoma Subtypes" by Connolly et al. Epithelioid sarcoma and malignant rhabdoid tumor are rare pediatric soft tissue sarcomas, characterized by INI1 loss, high recurrence rates, and poor outcome despite multimodal treatments. Emerging evidence has shown that Mucin 16 is expressed in both tumor types. Mucin 16 is a transmembrane glycoprotein whose extracellular domain can be cleaved and released as CA-125. Both Mucin 16 and CA-125 are well-established biomarkers in several adult epithelioid malignancies, particularly ovarian cancer. Ubamatamab is a specific T-cell engager targeting CD3 and Mucin 16. It has demonstrated antitumor activity in patients with recurrent ovarian cancer, and clinical trials are ongoing to evaluate its efficacy as monotherapy or in combination regimens. In this manuscript, Connolly et al. present the first reported case of a heavily pretreated patient with epithelioid sarcoma who responded to ubamatamab, followed by an investigation into mechanisms of resistance after disease progression. Furthermore, the authors retrospectively assessed Mucin 16 expression in a cohort of pediatric and young adult sarcomas, finding high expression in both epithelioid sarcoma and malignant rhabdoid tumor. In this case report, the authors describe a 23-year-old woman with relapsed metastatic epithelioid sarcoma. Initially diagnosed at age 12, she had received multiple lines of treatments, including surgery, radiotherapy, targeted therapy, and immunotherapy. Following disease progression after all these treatments, her tumor was tested for Mucin 16 expression and it demonstrated 100% positivity with markedly elevated CA-125 levels, providing a rationale for treatment with the Mucin 16-CD3 bispecific T-cell engager, ubamatamab. Ubamatamab was administered in an escalating dose schedule up to 250 mg once weekly during cycle one and continued for a total of 162 weeks. The best response was observed at week 11, with a 40% reduction and a marked decline in CA-125 levels. Disease progression was first detected in a single left lower lobe lung nodule, which on biopsy showed a reduction in Mucin 16 expression from 100% to less than 5%. Post-treatment analysis revealed changes in the tumor microenvironment, including increased expression of T-cell exhaustion markers such as PD-1 and LAG-3. Ubamatamab was generally well tolerated. Cytokine release syndrome occurred during the escalating phase of cycle one, presenting with fever and hypoxia. Other notable adverse events included pleural and pericardial effusion, both of which resolved spontaneously. Given its favorable safety profile and limited alternative treatment options, ubamatamab was continued beyond the initial progression. The patient ultimately received 28 cycles of treatment before she passed away due to disease progression. In the second part of the paper, the authors examined Mucin 16 expression in a cohort of pediatric and young adult sarcomas. Among 91 samples, Mucin 16 was expressed in six out of eight epithelioid sarcomas and two out of four malignant rhabdoid tumors. H-score analysis showed that all Mucin 16-positive tumors showed moderate to high expression levels. In conclusion, this manuscript presents the first reported use of a Mucin 16-CD3 bispecific T-cell engager for epithelioid sarcoma, along with an investigation into resistance mechanisms following progression. The treatment achieved a substantial partial response with a favorable safety profile. The findings suggest that resistance may be associated with loss of Mucin 16 expression and T-cell exhaustion. Follow-up studies are needed to confirm these mechanisms. Notably, the study also identifies INI1-deficient sarcoma as a group with high Mucin 16 expression, warranting additional validation and mechanism exploration. These findings offer valuable insight for future therapeutic strategies and support the use of Mucin 16/CA-125 as both a treatment target and a biomarker for patient selection and disease monitoring. Thank you for tuning in to 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. 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.  

JCO PO author Dr. Alison M. Schram at Memorial Sloan Kettering Cancer Center shares insights into her JCO PO article, "Retrospective Analysis of BRCA-Altered Uterine Sarcoma Treated With Poly(ADP-ribose) Polymerase Inhibitors." Host Dr. Rafeh Naqash and Dr. Schram discuss relevant genomic and clinical features of patients with BRCA-altered uterine sarcoma and the efficacy of PARPis in this population. 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 associate professor at the OU Health Stephenson Cancer Center. Today, we are excited to be joined by Dr. Alison Schram, Associate Attending Physician and Section Head of Oral Therapeutics with Early Drug Development and Gynecologic Medical Oncology Services at the Memorial Sloan Kettering Cancer Center, and the senior author of the JCO Precision Oncology article titled, "Retrospective Analysis of BRCA-Altered Uterine Sarcoma Treated With Poly(ADP-ribose) Polymerase Inhibitors." At the time of this recording, our guest's disclosures will be linked in the transcript. Dr. Schram, thank you for joining us today. I am excited to be discussing this very interesting, unique topic based on what you published in JCO PO. Dr. Alison Schram: Thank you for having me. Dr. Rafeh Naqash: What we like to do for these podcasts is try to make them scientifically interesting but at the same time, keep them at a level where our trainees and other community oncology professionals understand the implications of what you've published. So I'd like to start by asking you, what is leiomyosarcoma for those of us who don't necessarily know a lot about leiomyosarcoma, and what are some of the treatment options for these uterine sarcomas? Dr. Alison Schram: Uterine leiomyosarcoma is a rare subtype of uterine cancer, and it represents about 1% of all female cancers in the reproductive tract. This is a rare malignancy that arises from the myometrial lining of the uterus, and it is generally pretty aggressive. In terms of the standard therapy, the standard therapy for uterine leiomyosarcoma includes chemotherapy, generally combination chemotherapy, but despite a few regimens that tend to be effective, the duration of effectiveness is relatively short-lived, and patients with advanced uterine leiomyosarcoma eventually progress and require additional therapy. I will say that localized uterine leiomyosarcoma can be treated with surgery as well. Dr. Rafeh Naqash: Thank you for that description. Now, there are two aspects to what you published. One is the sarcoma aspect, the leiomyosarcoma, and the second is the BRCA mutation. Since we are a precision medicine journal, although we've discussed BRCA a couple of times before, but again, for the sake of our listeners, could you highlight some of the aspects of BRCA and PARP sensitivity for us? Dr. Alison Schram: Yes. So BRCA is a gene that's important for DNA repair, and BRCA mutations can be either inherited as a germline mutation, so one of your parents likely had a BRCA mutation and you inherited one copy. In patients who have an inherited BRCA mutation, the normal cells tend to have one abnormal copy of BRCA, but if a second copy in the cell becomes altered, then that develops into cancer. And so these patients are at increased risk of developing cancers. Specifically, they are at an increased risk of developing ovarian cancer, breast cancer, prostate cancer, pancreatic cancer, and a few others. These cancers are considered BRCA-associated tumors. Alternatively, some patients, more rarely, can develop BRCA-altered cancers completely sporadically. So it's a mutation that happens in the tumor itself, and that can lead to impaired DNA repair and promote cancer progression. And those patients are not, they don't have any inherited risk, but just a random event caused a BRCA mutation in the tumor. The reason this is important is because, in addition to it being potentially important for family members, there are certain treatments that are more effective in BRCA-altered cancers. And the main example is PARP inhibitors, which are small molecule inhibitors that inhibit the PARP enzyme, and there is what we call synthetic lethality. So PARP is important for DNA repair, for single-stranded DNA repair, BRCA is important for double-stranded DNA repair, and in a patient that has a cancer that has a BRCA mutation, that cancer becomes more reliant on single-stranded DNA repair. And if you inhibit it with a PARP inhibitor, the cancer cells are unable to repair DNA, and the cells die. So we call that synthetic lethality. PARP inhibitors are FDA approved in several diseases, predominantly the BRCA-associated diseases I mentioned: breast cancer, ovarian cancer, pancreatic cancer, and prostate cancer. Dr. Rafeh Naqash: That was very beautifully explained. Honestly, I've heard many people explain BRCA before, but you kind of put it in a very simple, easy to understand format. You mentioned this earlier describing germline or hereditary BRCA and somatic BRCA. And from what I gather, you had a predominant population of somatic BRCA, but a couple of germline BRCA as well in your patient population, which we'll go into details as we understand the study. You mentioned the second hit on the germline BRCA that is required for the other copy of the gene to be altered. In your clinical experience, have you seen outside of the study that you published, a difference in the sensitivity of PARP for germline BRCA versus a somatic BRCA that has loss of both alleles? Dr. Alison Schram: So we will get into what's unique about uterine sarcomas in just a minute. In uterine sarcomas, what we have found is that the BRCA mutations tend to be somatic and not germline, as you mentioned. That is in contrast to the other diseases we mentioned, where the vast majority of these tumors are in patients that have germline BRCA alterations. So one thing that's really unique about the uterine sarcoma population and our paper, I believe, is that it is demonstrating an indication for PARP inhibitors in a population that is not characterized by germline BRCA alterations, but truly these by somatic BRCA alterations. If you look at the diseases that PARP inhibitors are validated to be effective in, including the, you know, the ones I mentioned, the BRCA-associated tumors, there's some data in specific context that suggests that perhaps germline alterations are more sensitive to PARP inhibitors, but that's not universal, and it's really tricky to do because the genetic testing that we have doesn't always tell you if you have two hits or just one hit. So you need more complex genetic analysis to truly understand if there is what we call a biallelic loss. And sometimes it's not a second mutation in BRCA. Sometimes it's silencing of the gene by hypermethylation or epigenetics. Some of our clinical trials are now incorporating this data collection to really understand if biallelic loss that we can identify on more complex genetic testing predicts for better outcomes. And we think it's probably true that the patients that have biallelic loss, whether it be germline or somatic biallelic loss, are more likely to benefit from these treatments. That still needs to be tested in a larger cohort of patients prospectively. Dr. Rafeh Naqash: In your clinical experience, I know you predominantly use MSK-IMPACT, but maybe you've perhaps used some other NGS platforms, next-generation sequencing platforms. Have you noticed that these reports for BRCA alterations the report mentioning biallelic loss in certain cases? I personally don't- I do lung cancer, I do early-phase lung cancer as well, but I personally don't actually remember if I've seen a report that actually says biallelic loss. So after this podcast, I'm going to check some of those NGS reports and make sure I look at it. But have you seen it, or what would be a learning point for the listeners there? Dr. Alison Schram: Exactly. And they usually do not. They usually do not explicitly say, "This looks like biallelic loss," on the reports. The exception would be if there's a deep deletion, then that implies both copies of the gene have been deleted, and so then you can assume that it's a biallelic loss. But oftentimes, when you see a frameshift alteration or a mutation, you don't know whether or not it's a biallelic loss. And you may be able to get some clues based on the variant allele frequencies, but due to things like whole genome duplication or more complex tumor genomics, it's not clear from these reports, and you really do need a more in-depth bioinformatic analysis to understand whether these are biallelic or not. So that is why I suggest that this really needs to be done in the context of a clinical trial, but there is definitely a theoretical rationale for reporting and treating patients with biallelic losses perhaps more so than someone who has a variant of unknown significance that seems to be monoallelic. The other tricky part, as I mentioned, is the fact that there could be epigenetic changes that silence the second copy, so that wouldn't be necessarily evident on a DNA report, and you would need more complex molecular testing to understand that as well. Dr. Rafeh Naqash: Sure. Now, going to your study, could you tell us what prompted the study, what was the patient population that you collected, and how did you go about this research study design? Dr. Alison Schram: It's actually a great story. I was the principal investigator for a clinical trial enrolling patients regardless of their tumor type to a combination of a PARP inhibitor and immunotherapy. And this was a large clinical trial that was being done as a basket study, as I mentioned, for patients that have either germline or somatic a

In this JCO Precision Oncology Article Insights episode, Natalie DelRocco summarizes "Prognostic Value of the G2 Expression Signature and MYC Overexpression in Childhood High-Grade Osteosarcoma" by Roelof van Ewijk et al. published on May 29, 2025. TRANSCRIPT Natalie Del Rocco: Hello, and welcome to JCO Precision Oncology Article Insights. I'm your host, Natalie DelRocco, and today we will be discussing the original report, "Prognostic Value of the G2 Expression Signature and MYC Overexpression in Childhood High-Grade Osteosarcoma." This original report by van Ewijk et al. describes a study of the association between 2 biomarkers and survival outcomes among patients with high-grade osteosarcoma. Osteosarcoma is a disease where not much progress has been made in risk stratification factors that could potentially help patients target lower-risk therapies, less toxic therapies, or therapies that might be more toxic but could help their high-risk osteosarcoma. So, it's important to identify risk factors that can help target therapies. The G1/G2 gene expression signature is a prognostic risk score developed by a French osteosarcoma group in 2022. They showed in a cohort of 79 osteosarcoma patients that risk score was associated with poorer event-free survival and overall survival. This considers expression of 15 individual genes. MYC amplification was shown in 2023 by a North American osteosarcoma group to be associated with poor overall survival in a cohort of 92 osteosarcoma patients, and this group validated that finding in a localized cohort in the same publication.  The goal of this particular original report was to assess the prognostic significance of each of these biomarkers in a population independent to those prior publications and, hence, to serve as an external validation of prior findings and to assess these 2 biomarkers in the same study. The investigators considered MYC amplification, defined as having greater than 7 copies; MYC expression as a continuous rather than the previously categorized variable; and G2 expression defined as a continuous variable; and then G2 expression defined as a dichotomous variable with the cut point at the median, as done in the original paper.  What the investigators found in their primary multivariable Cox proportional hazards regression model, which controlled for additional clinical risk factors such as age, tumor site, tumor size, is that G2 expression and MYC expression as continuous variables were associated with increased hazard of EFS and OS event. MYC amplification was not found to be prognostic. This is not surprising. When we have continuous variables, we have greater statistical power, we decrease the likelihood that an identified cut point in a previous study does not generalize well to either our genetic assay or our patient population. So, we don't have to worry about finding the optimal cut point in our particular patient sample. Thank you for listening to our JCO Precision Oncology Article Insights. Don't forget to give us a rating or review, and be sure to like and subscribe so that 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.  

In this JCO Precision Oncology Article Insights episode, Natalie DelRocco summarizes "Real-Time Monitoring in Renal Cell Carcinoma With Circulating Tumor DNA: A Step Forward, but How Far?" by Zeynep B. Zengin et al. published on February 28, 2025. TRANSCRIPT The guest on this podcast episode has no disclosures to declare. Natalie DelRocco: Hello, and welcome to JCO Precision Oncology Article Insights. I'm your host, Natalie DelRocco, and today we will be discussing the editorial, "Real-Time Monitoring in Renal Cell Carcinoma With Circulating Tumor DNA: A Step Forward, but How Far?" This editorial by Zengin and Kotecha discusses the impact of circulating tumor DNA (ctDNA) and its potential applications in renal cell carcinoma - we'll call this RCC for the remainder of the podcast. This article was published in February of 2025, and I think this is really timely because ctDNA is currently an emerging biomarker of interest in many different cancers. Having shown promise in certain cancers, other types of cancers are really targeting ctDNA to see if it can be used as a prognostic or a predictive biomarker in their specific field of oncology. Sometimes it is found that ctDNA is a prognostic marker that's associated with outcome, but it's not always clear whether it is a predictive biomarker that can help modify treatment and to what extent it could be helpful modifying treatment. This is what the authors of this editorial really focus on. They focus on the applications of ctDNA in RCC by interpreting the accompanying article, "Longitudinal Testing of Circulating Tumor DNA in Patients With Metastatic Renal Cell Carcinoma" by Basu et al. So, the editorial authors begin by giving examples of cancers where ctDNA has been shown to be useful in cancer monitoring - for example, locally advanced urothelial carcinoma - and they give examples of when it has not been shown to be useful in monitoring colorectal cancer. And this just highlights the variability of ctDNA as a biomarker. It's not always a useful biomarker, but sometimes it is. The authors note that RCC may fall into the latter category - that is, the "not useful" category - due to the low ctDNA shedding which characterizes RCC. However, metastatic RCC - we'll call this 'mRCC' for the remainder of the podcast - may be a target for use of ctDNA clinically due to advanced assay development, according to the authors. Basu et al, in the original work that the editorial accompanies, showed in a retrospective study of 92 patients with mRCC that ctDNA detectability was associated with poorer PFS, regardless of receipt of active treatment versus no receipt of active treatment. That's important because ctDNA can be directly affected by therapy. The authors of the editorial believe that this is a particularly promising result for a few reasons. Firstly, the estimated hazard ratios were quite large. A hazard ratio of 3.2 was seen in the active treatment group versus a hazard ratio of 18 was observed in the no-active-treatment group. I will note that a hazard ratio of 18 with an extremely wide confidence interval is an unusual observation. So, when interpreting this result, I would consider the direction and magnitude of the effect to be suggestive of promise but needing to be validated in the future to improve precision. And the authors of the editorial do agree with this; they note the same. The authors also note that a single-patient example was used to show how that ctDNA positivity can be used in mRCC to monitor and prompt imaging if disease progression is suspected. And then that way, disease progression can be caught earlier. That to say, there is a real target for clinical use, which isn't always the case. Sometimes we know that ctDNA is associated with outcome, but we don't quite know how we can modify when we know that ctDNA is positive. In this case, the editorial authors show that we can use ctDNA positivity to monitor patients for disease progression. Despite the promise of the study, the editorial does highlight that the study inherits typical retrospective study limitations. For example, there is a heterogeneous cohort. There is variability in data collection, particularly nailing down specific time points, which can always be a challenge when collecting biological samples as part of a study. And small sample size - although 92 patients is great for renal cell carcinoma, it is a challenging sample size with respect to precision of those hazard ratio estimates, which we've already talked about. The authors additionally note that ctDNA could be used to direct therapy, not just to monitor for disease progression. So, both monitoring and changing therapy would certainly require further study and validation, which is discussed by the authors of this editorial. We would want larger, prospective studies showing the same association before we would be comfortable modifying treatment for patients based on their ctDNA positivity level. Thank you for listening to JCO Precision Oncology Article Insights. Don't forget to give us a rating or a review, and be sure to subscribe so that 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.

JCO PO author Dr. Philip Philip at Henry Ford Cancer Institute and Wayne State University shares insights into his JCO PO article, "Incorporating Circulating Tumor DNA Testing Into Clinical Trials: A Position Paper by the National Cancer Institute GI Oncology Circulating Tumor DNA Working Group." Host Dr. Rafeh Naqash and Dr. Philip discuss how prospective trials are required to clarify the role of ctDNA as a valid surrogate end point for progression-free or overall survival in GI cancers. 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. Philip Philip, Chair of Hematology and Oncology, as well as leader of GI and Neuroendocrine Oncology. He's also the Professor of Oncology and Pharmacology, as well as Co-Leader of the Pancreatic Cancer Program and Medical Director of the Cancer Clinical Trial and Translational Research Office at the Henry Ford Cancer Institute at Wayne State University. Dr. Philip is also the Senior Corresponding Author of the JCO Precision Oncology article entitled, "Incorporating Circulating Tumor DNA Testing into Clinical Trials: A Position Paper by the National Cancer Institute GI Oncology Circulating Tumor DNA Working Group." At the time of this recording, our guest's disclosures will be linked in the transcript. Dr. Philip, welcome to our podcast, and thank you so much for joining us today. Dr. Philip Philip: Thank you so much, Dr. Naqash, for providing me this opportunity to be discussing this with you. Dr. Rafeh Naqash: This is a very timely and interesting topic. We've done a couple of podcasts on ctDNA before, but none that is an opinion piece or a guidance piece based on what you guys have done. Could you tell us what led to this perspective piece or guidance manuscript being published? There is some background to this. Could you tell us, for the sake of our listeners, what was the initial thought process of why you all wanted to do this? Dr. Philip Philip: The major reason for this was the fact that investigators were considering using ctDNA as a primary endpoint in clinical trials. Obviously, you hear my focus will be on gastrointestinal cancers. So, the idea was, can we use ctDNA instead of using the traditional endpoints such as disease-free survival, progression-free survival, or overall survival? And the question was, do we have enough data to support that in patients with gastrointestinal cancers? Now, the article obviously goes over some review of the data available, but the core of the article was not to do a comprehensive review of ctDNA use and the evidence so far, although we used that in really putting our recommendations. So, we really had to evaluate available data. But the focus was, what are the gaps? What do we need to do? And are we ready to use ctDNA as a primary endpoint in clinical trials? Dr. Rafeh Naqash: Thank you for giving us that background. Obviously, a very broad, complicated topic with a bunch of emerging data that you've highlighted. But most importantly, for the sake of, again, trainees and listeners, could you help us understand the difference between tumor-informed and non-tumor-based ctDNA assessments? Dr. Philip Philip: Sure. So, the tumor-informed is simply meaning that you're taking the genomic makeup or the DNA fingerprint of the cancer in a given patient, and you create a profile, and then use that profile to see whether that DNA is present in the blood. So, it's very simple. It's like barcoding DNA and then going and looking for it in the blood, which means that you have to have the primary tumor. When I say primary tumor, you need to have the tumor to start off with. It doesn't really apply, maybe easily, if you just have a fine-needle aspirate and things like that. So, you really have to have a good amount of the tumor for you to be able to do that. So, that's a tumor-informed, and from the name, you can easily understand how it's done, compared to the other one, which is uninformed, whereby off-the-shelf probes are used to look for tumor DNA. And again, they're based on prior experience and prior identification of the key DNA changes that will be seen in tumors. So, that's the difference between the two in terms of the principle of the test. The uninformed will not require you to send the original tumor that you're trying to test. However, the informed, you do. The turnaround time is, again, a bit different because, as you would expect, it's shorter in the uninformed. And the reason for that, again, is the initial preparation of the profile that is going to be used in the future when you do serial testing. The sensitivity has been a bit of a discussion. Initially, people have thought that tumor-informed assays are more sensitive, more specific, more sensitive, et cetera. But in our review, we come to the conclusion saying that we don't think that's going to be a major difference. And there are obviously improvements happening in both types of assays. The sensitivities have been improving. So, at this point in time, we do feel that you have two types of assays, and we didn't feel strongly about recommending one over the other. Dr. Rafeh Naqash: Thank you for that description. You mentioned something about sensitivity, specificity. Obviously, many of us who have ordered both tumor-informed and tumor-uninformed, we understand the differences with respect to the timing. The tumor-informed one can take more time. The uninformed one, being a sort of a liquid biopsy, may not necessarily have as much of a turnaround time. Could you briefly speak to those limitations or advantages in the context of the two versions? Dr. Philip Philip: I just really want to also highlight that when we say turnaround time, so for the tumor-informed assays, the first assay that we do will be requiring a turnaround time. But once the pattern has been set and the profile has been documented, the subsequent testing doesn't require much in the way of waiting. However, when you're using this for the minimal residual disease, then you have a window of opportunity to work at. That's number one. So, it means that in patients who have resected cancer, you may end up having to wait longer than the tumor-uninformed assay, especially if you don't have easy access to your material for the baseline material to send. And also, what we'd like to do is not do the test immediately after the operation or soon after the operation. Give it some time. There's a window where you can work at, and starting minimally two weeks after the surgery. But in my experience, I'd like to wait at least four weeks just to make sure that we got an accurate reading. Sometimes when you do it very early after surgery, because of the effect of the surgery and the release of the normal DNA is also, it may dilute the tumor DNA, and then you may get a false negative. So, basically, it depends on the clinical situation. And your question is, is one better to be used than the other? I think ultimately, it ends up with the turnaround time not being as much of an issue. It might be in certain situations, depending on when you see the patients after the operation or any definitive treatment you've done and you want to look for minimal residual disease. But in general, I don't think that's going to be a real major issue. Dr. Rafeh Naqash: I remember discussing this with one of the tumor-informed platforms with regards to this barcode you mentioned. They generate a fingerprint of sorts for the tumor on the tissue, then they map it out in the blood and try to assess it longitudinally. And one of the questions and discussions we had was around the fact that most of the time, these barcoded genes are not the driver genes. If you have a KRAS mutant tumor, it's not going to be the KRAS gene that they map out. It's something that is specific. So, is there a possibility that when you are mapping out, let's say, a metastatic tumor where there is truncal and subclonal mutations at different sites, that you capture something that is not necessarily truncal, and that does not necessarily reflect some other metastatic site having a recurrence? So basically, over time, you don't see a specific mutational pattern or the signature on the tumor-informed, and then you see something on the scan which makes you think, "Well, it was not the right test," but actually it could be a different subclone or a clone mutation at a different site. Is there a concept that could help us understand that better? Dr. Philip Philip: I think you raise a very important point. Although, I have to say from my practical experience, that is not a common thing to see. In fact, for some reason, we don't see it that often in any frequency that should, at this point in time, make us concerned about the serial testing. But what you were mentioning is a real challenge which can happen. Now, the question is, how often does the clonal evolution or the divergence happen to the point that it's going to be like a false negative, is what you're saying. At this point in time, we don't really have good information on that, or any good information, practical information. And when we went through the literature and we were looking for the evidence, that wasn't something which was there clearly telling us. Although, this is something that has to be studied further prospectively. And I don't know of a study, but I might be missing it, I don't know of a study which is systematically looking at this. Although it's a very valid hypothesis and theoretical basis for it, but in real life, we still have to see how much does it really interfere with the validity of this kind of testing. Dr. Rafeh Naqa

In this JCO Precision Oncology Article Insights episode, Jiasen He summarizes "Predictive Impact of Tumor Mutational Burden on Real-World Outcomes of First-Line Immune Checkpoint Inhibition in Metastatic Melanoma" by Dr. Miles C. Andrews, et al. published on June 07, 2024. Transcript The guest on this podcast episode has no disclosures to declare. Jiasen He: Hello and welcome to the JCO Precision Oncology Article Insights. I'm your host, Jiasen, and today we'll be discussing the JCO Precision Oncology article, "Predictive Impact of Tumor Mutational Burden on Real-World Outcomes of First-Line Immune Checkpoint Inhibition in Metastatic Melanoma," by Dr. Miles C. Andrews and colleagues. This study was supported by Foundation Medicine, a for-profit company that conducts FDA-regulated molecular diagnostics, including assays used to measure tumor mutational burdens, or TMB, as described in this article. Immune checkpoint inhibitor (ICI) therapy has become a cornerstone in the treatment of metastatic melanoma. They work by activating the patient's own immune system, representing a fundamentally different approach from traditional chemotherapy. Several biomarkers have emerged as promising tools to predict ICI therapy response, and TMB is one of the most extensively studied. TMB is defined as the number of somatic mutations per megabase of an interrogated genome sequence. In the KEYNOTE-158 study, patients with high TMB showed better response rates and longer progression-free survival compared to those with low TMB, which led to the FDA tumor-agnostic approval of TMB as a biomarker to guide ICI therapy. In this manuscript, Dr. Andrews and colleagues set out to answer an important question: does TMB predict outcomes of ICI therapy in real-world patients with advanced melanoma? To explore this, they analyzed de-identified data from the nationwide Flatiron Health-Foundation Medicine Clinico-Genomic Database (CGDB). To be included, patients needed to have had at least two visits to a Flatiron Health clinic and a Foundation Medicine Comprehensive Genomic Profiling report. Eligible patients had received first-line treatment with either monotherapy (nivolumab or pembrolizumab) or dual therapy with the combination of ipilimumab and nivolumab for metastatic melanoma. They also needed a tissue-based TMB score from either the FoundationOne or FoundationOne CDx genomic test. For this study, TMB less than 10 mutations per megabase was considered low TMB; TMB equal to or more than 10 mutations per megabase was considered high TMB; and TMB equal to or more than 20 mutations per megabase was considered very high TMB. Of the 497 patients in the final cohort, 29% had low TMB, while 71% had high TMB, and 50% had very high TMB. The authors observed that patients with very high TMB were more often male, had BRAF wild-type tumors, and were more likely to receive anti-PD-1 monotherapy. This group also had tumors more commonly sampled from brain and lung metastases. Patients with high TMB but not very high TMB were more likely to carry the BRAF V600K mutation and were least likely to have lung metastases. Meanwhile, those with low TMB tended to be younger and had disease limited to non-visceral sites. As expected, the presence of ultraviolet mutation signatures, a known driver of melanoma, was strongly associated with TMB. UV signatures were found in just 18% of the low TMB group, but in 89% of the high TMB and 93% of the very high TMB group. High TMB was found to be prognostic of improved real-world progression-free survival (PFS) and overall survival (OS) in patients receiving both monotherapy and dual immune checkpoint inhibitors, even after adjusting for other established prognostic factors. Interestingly, in the low TMB group, overall survival was likely confounded by the availability of effective second-line targeted therapy, particularly for BRAF-mutant patients. These patients had better outcomes compared to their BRAF wild-type counterparts, likely reflecting a greater reliance on salvage therapy in low TMB patients who derived less benefit from first-line immunotherapy. The authors then further examined the ICI outcomes using stepwise TMB thresholds, with TMB less than 10 as low, 10 to 19 as high, and equal to or more than 20 as very high. For those receiving ICI monotherapy, both PFS and OS were highest in the very high TMB group, followed by the high TMB group, and lowest in the low TMB group. However, in patients treated with dual ICI therapy, the results diverged. While low TMB patients still had the poorest outcomes, those with high TMB (mutations 10 to 19 per megabase) had better PFS and overall survival than those with very high TMB (mutations equal to or more than 20 per megabase). The authors then conducted exploratory multivariable modeling, showing that among very high TMB patients with BRAF mutations, dual ICI therapy was associated with a significantly higher hazard ratio compared to monotherapy. They concluded that dual ICI may not benefit, and could even harm, patients with very high TMB, whereas those with TMB between 10 and 20 mutations per megabase may get more from the intensified regimen. Importantly, as the authors stated in the manuscript, we need to note that in this cohort, very high TMB patients were more likely to have brain metastases at treatment initiation, be male, and lack BRAF V600E/K mutations—all factors associated with poorer prognosis. This might partially explain inferior outcomes to dual ICI in very high TMB patients, as patients were not randomly assigned to therapy in this retrospective, real-world study. As such, these findings should be interpreted with caution and validated in future studies. In summary, this study showed that in a real-world setting, high tumor mutational burden predicts better outcomes with immune checkpoint inhibitor therapy in patients with advanced melanoma. Interestingly, the authors found that dual ICI therapy may offer no added benefit for patients with very high TMB compared to ICI monotherapy. However, this was a retrospective, non-randomized study, and the cohorts were imbalanced for some known risk factors, which could confound outcomes. As a result, these findings should be interpreted with caution and will need to be validated in future prospective studies. 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.

JCO PO author Dr. Dean A. Regier at the Academy of Translational Medicine, University of British Columbia (UBC), and the School of Population and Public Health, BC Cancer Research Institute shares insights into his JCO PO article, "Clinical Effectiveness and Cost-Effectiveness of Multigene Panel Sequencing in Advanced Melanoma: A Population-Level Real-World Target Trial Emulation." Host Dr. Rafeh Naqash and Dr. Regier discuss the real-world clinical effectiveness and cost-effectiveness of multigene panels compared with single-gene BRAF testing to guide therapeutic decisions in advanced melanoma. 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 in the University of Oklahoma. Today, we are excited to be joined by Dr. Dean A. Regier, Director at the Academy of Translational Medicine, Associate Professor at the School of Population and Public Health, UBC Senior Scientist at the British Columbia Cancer Research Institute, and also the senior author of the JCO Precision Oncology article entitled "Clinical Effectiveness and Cost-Effectiveness of Multigene Panel Sequencing in Advanced Melanoma: A Population-Level Real-World Target Trial Emulation." At the time of this recording, our guest's disclosures will be linked in the transcript. Dean, welcome to our podcast and thank you for joining us today. Dr. Dean Regier:Thank you. I'm delighted to be here. Dr. Rafeh Naqash:So, obviously, you are from Canada, and medicine, or approvals of drugs to some extent, and in fact approvals of gene testing to some extent is slightly different, which we'll come to learn about more today, compared to what we do in the US—and in fact, similarly, Europe versus North America to a large extent as well. Most of the time, we end up talking about gene testing in lung cancer. There is a lot of data, a lot of papers around single-gene panel testing in non-small cell lung cancer versus multigene testing. In fact, a couple of those papers have been published in JCO PO, and it has shown significant cost-effectiveness and benefit and outcomes benefit in terms of multigene testing. So this is slightly, you know, on a similar approach, but in a different tumor type. So, could you tell us first why you wanted to investigate this question? What was the background to investigating this question? And given your expertise in health economics and policy, what are some of the aspects that one tends or should tend to understand in terms of cost-effectiveness before we go into the results for this very interesting manuscript? Dr. Dean Regier:Yeah, of course, delighted to. So, one of the reasons why we're deeply interested in looking at comparative outcomes with respect to single- versus multigene testing— whether that's in a public payer system like Canada or an insurer system, a private system in the United States— is that the question around does multigene versus single-gene testing work, has not typically tested in randomized controlled trials. You don't have people randomized to multigene versus single-gene testing. And what that does, it makes the resulting evidence base, whether it's efficacy, safety, or comparative cost-effectiveness, highly uncertain. So, the consequence of that has been uneven uptake around the world of next-generation sequencing panels. And so if we believe that next-gen sequencing panels are indeed effective for our patients, we really need to generate that comparative evidence around effectiveness and cost-effectiveness. So we can go to payers, whether it be single payer or a private insurer, to say, "Here are the comparative outcomes." And when I say that uptake has been uneven, uptake there's been actually plenty, as you know, publications around that uneven uptake, whether it be in Europe, in the United States, in Canada. And so we're really interested in trying to produce that evidence to create the type of deliberations that are needed to have these types of technologies accessible to patients. And part of those deliberations, of course, is the clinical, but also in some contexts, cost-effectiveness. And so, we really start from the perspective of, can we use our healthcare system data, our learning healthcare system, to generate that evidence in a way that emulates a randomized controlled trial? We won't be able to do these randomized controlled trials for various, like really important and and reasons that make sense, quite frankly. So how can we mimic or emulate randomized controlled trials in a way that allows us to make inference around those outcomes? And for my research lab, we usually think through how do we do causal inference to address some of those biases that are inherent in observational data. So in terms of advanced melanoma, we were really interested in this question because first of all, there have been no randomized controlled trials around next-gen sequencing versus single-gene testing. And secondly, these products, these ICIs, immune checkpoint inhibitors, and BRAF and MEK inhibitors, they are quite expensive. And so the question really becomes: are they effective? And if so, to what extent are they cost-effective? Do they provide a good reason to have information around value for money? Dr. Rafeh Naqash:So now going to the biology of melanoma, so we know that BRAF is one of the tumor-agnostic therapies, it has approvals for melanoma as well as several other tumor types. And in fact, I do trials with different RAF-RAS kinase inhibitors. Now, one of the things that I do know is, and I'm sure some of the listeners know, is the DREAMseq trial, which was a melanoma study that was an NCI Cooperative Group trial that was led by Dr. Mike Atkins from Georgetown a couple of years back, that did show survival benefit of first-line immunotherapy sequencing. It was a sequencing study of whether to do first-line BRAF in BRAF-mutant melanoma followed by checkpoint inhibitors, or vice versa. And the immune checkpoint inhibitors followed by BRAF was actually the one that showed benefit, and the trial had to stop early, was stopped early because of the significant benefit seen. So in that context, before we approach the question of single-gene versus multigene testing in melanoma, one would imagine that it's already established that upfront nivolumab plus ipilimumab, for that matter, doublet checkpoint inhibitor therapy is better for BRAF-mutant melanoma. And then there's no significant other approvals for melanoma for NRAS or KIT, you know, mucosal melanomas tend to have KIT mutations, for example, or uveal melanomas, for that matter, have GNAQ, and there's no targeted therapies. So, what is the actual need of doing a broader testing versus just testing for BRAF? So just trying to understand when you started looking into this question, I'm sure you kind of thought about some of these concepts before you delved into that. Dr. Dean Regier:I think that is an excellent question, and it is a question that we asked ourselves: did we really expect any differences in outcomes between the testing strategies? And what did the real-world implementation, physician-guided, physician-led implementation look like? And so, that was kind of one of the other reasons that we really were interested is, why would we go to expanded multigene panel sequencing at all? We didn't really expect or I didn't expect an overall survival a priori. But what we saw in our healthcare system, what happened in our healthcare system was the implementation in 2016 of this multigene panel. And this panel covered advanced melanoma, and this panel cost quite a bit more than what they were doing in terms of the single-gene BRAF testing. And so when you're a healthcare system, you have to ask yourself those questions of what is the additional value associated with that? And indeed, I think in a healthcare system, we have to be really aware that we do not actually follow to the ideal extent randomized controlled trials or trial settings. And so that's the other thing that we have to keep in mind is when these, whether it's an ICI or a BRAF MEK inhibitor, when these are implemented, they do not look like randomized controlled trials. And so, we really wanted to emulate not just a randomized controlled trial, but a pragmatic randomized controlled trial to really answer those real-world questions around implementation that are so important to decision making. Dr. Rafeh Naqash:Sure. And just to understand this a little better: for us in the United States, when we talk about multigene testing, we generally refer to, these days, whole-exome sequencing with whole-transcriptome sequencing, which is like the nuclear option of of the testings, which is not necessarily cheap. So, when you talk about multigene testing in your healthcare system, what does that look like? Is it a 16-gene panel? Is it a 52-gene panel? What is the actual makeup of that platform? Dr. Dean Regier:Excellent question. Yeah, so at the time that this study is looking at, it was 2016, when we, as BC Cancer—so British Columbia is a population right now of 5.7 million people, and we have data on all those individuals. We are one healthcare system providing health care to 5.7 million people. In 2016, we had what I call our "home-brew" multigene panel, which was a 53-gene panel that was reimbursed as standard of care across advanced cancers, one of them being advanced melanoma. We have evolved since then. I believe in 2022, we are using one of the Illumina panels, the Focus panel. And so things have changed; it's an evolving landscape. But we're specifically focused on the 53-gene panel. It was called OncoPanel. And that was produced in British Columbia through the Genome Sciences Centre, and it was v

In this JCO PO Article Insights episode, host Harold Tan summarizes Low Kynurenine Levels Among Exceptional Responders on Phase Ib Trial of the HDAC Inhibitor Abexinostat with Pazopanib by Tsang et al, published November 07, 2024. 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, and today we're taking a focused look at a compelling phase Ib trial led by Dr. Tsang, which investigates a combination of abexinostat, a histone deacetylase inhibitor, with pazopanib, a VEGF-targeting tyrosine kinase inhibitor, in patients with advanced solid tumors. VEGF inhibition has long been an established therapeutic strategy across a wide range of tumor types, including colorectal, ovarian, sarcoma, and renal cell carcinoma. These agents function by disrupting tumor angiogenesis, effectively limiting oxygen and nutrient delivery to malignant cells and contributing to improved survival outcomes. However, over time, acquired resistance remains a significant challenge. A key mechanism implicated in this resistance involves the upregulation of hypoxia-inducible factor 1-alpha, or HIF-1-alpha for short, a master regulator of angiogenesis that restores VEGF signaling under hypoxic conditions. Interestingly, HIF-1-alpha overexpression is mediated by histone deacetylases, especially HDAC2. Preclinical studies suggest that HDAC2 inhibition can suppress tumor cell migration and downregulate HIF-1-alpha activity, effectively disabling a critical escape pathway used by tumors under VEGF pressure. Moreover, combining HDAC inhibition with VEGF blockade has demonstrated synergy in pazopanib-resistant tumor models, forming a compelling rationale for this dual approach. The phase Ib trial by Tsang et al. was designed to evaluate the safety, tolerability, and preliminary efficacy of this dual-targeted approach in patients with heavily pretreated advanced solid tumors. A dose-expansion cohort focused on individuals with renal cell carcinoma, allowing for more detailed evaluation in this population. A central component of this study was the incorporation of biomarker analysis, particularly regarding HDAC2 expression levels. The results were noteworthy. Patients with high HDAC2 expression achieved a progression-free survival of 7.7 months compared to only 3.5 months in those with low expression. Even more compelling, overall survival reached 32.3 months for those with a high HDAC2 expression versus just 9.2 months for those with low expression. This suggests the potential role for HDAC2 as a predictive biomarker for response to combination HDAC and VEGF-targeted therapy. The authors also explored the metabolic landscape of these patients, conducting metabolomic analysis focused on kynurenine, a key tryptophan catabolite known to contribute to the immune suppression in the tumor microenvironment. Its reduction is driven by HIF-1-alpha and inflammatory cytokines, including interleukin-6 and tumor necrosis factor-alpha. What they found was striking. Exceptional responders, defined as patients with treatment responses lasting more than 3 years, had consistently lower levels of kynurenine both before and after treatment. This finding introduces kynurenine as a potential metabolic biomarker. It suggests that patients with lower kynurenine levels may have a less immunosuppressive microenvironment, making them more responsive to the combined effects of HDAC inhibition and VEGF blockade. Of note, VEGF levels themselves did not significantly differ between responders and nonresponders, highlighting that the treatment benefit is not purely VEGF-mediated but likely driven by epigenetic and metabolic modulation. On the safety front, the combination of abexinostat and pazopanib was generally well tolerated. However, this study did report a correlation between higher plasma concentrations of abexinostat and an increased incidence of thrombocytopenia, a class effect associated with HDAC inhibitors. This trial introduces several key considerations for future research. First, it calls for validation of HDAC2 as a predictive biomarker. If confirmed in larger cohorts, HDAC2 expression could be used to select patients most likely to benefit from HDAC inhibitor-based regimens, transforming how we approach trial enrollment and treatment planning. Second, the link between low kynurenine and exceptional response supports further investigation into how metabolic pathways can influence treatment response to combined HDAC and VEGF inhibition. Overall, HDAC inhibitors hold significant promise in precision oncology. Realizing their full therapeutic potential requires a deeper understanding of HDAC biology, refined combination strategies, and thorough preclinical and clinical evaluations tailored to individual patient profiles. This study exemplifies the potential of epigenetic-metabolic crosstalk as a therapeutic vulnerability and underscores the importance of precision stratification in clinical trial design. As research in this space progresses, the integration of molecular, epigenetic, and metabolic profiling will be essential in optimizing the use of HDAC inhibitors and expanding their role within precision oncology. 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.

JCO PO author Dr. Timothy Showalter at Artera and University of Virginia shares insights into his JCO PO article, "Digital Pathology–Based Multimodal Artificial Intelligence Scores and Outcomes in a Randomized Phase III Trial in Men With Nonmetastatic Castration-Resistant Prostate Cancer" . Host Dr. Rafeh Naqash and Dr. Showalter discuss how multimodal AI as a prognostic marker in nonmetastatic castration-resistant prostate cancer may serve as a predictive biomarker with high-risk patients deriving the greatest benefit from treatment with apalutamide. TRANSCRIPT  Dr. Rafeh Naqash: Hello and welcome to JCO Precision Oncology Conversations where we'll 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. Timothy Showalter, Chief Medical Officer at Artera and professor of Radiation Oncology at the University of Virginia and author of the JCO Precision Oncology article entitled, "Digital Pathology Based Multimodal Artificial Intelligence Scores and Outcomes in a Randomized Phase 3 Trial in Men with Non-Metastatic Castration Resistant Prostate Cancer." At the time of this recording, our guest's disclosures will be linked in the transcript. Dr. Showalter, it's a pleasure to have you here today. Dr. Timothy Showalter: It's a pleasure to be here. Thanks for having me. Dr. Rafeh Naqash: I think this is going to be a very interesting discussion, not just from a biomarker perspective, but also in terms of how technologies have evolved and how we are trying to stratify patients, trying to escalate or deescalate treatments based on biomarkers. And this article is a good example of that. One of the things I do want to highlight as part of this article is that Dr. Felix Feng is the first author for this article. Unfortunately, Dr. Felix Feng passed away in December of 2024. He was a luminary in this field of prostate cancer research. He was also the Chair of the NRG GU Committee as well as Board of Directors for RTOG Foundation and has mentored a lot of individuals from what I have heard. I didn't know Dr. Feng but heard a lot about him from my GU colleagues. It's a huge loss for the community, but it was an interesting surprise for me when I saw his name on this article as I was reviewing it. Could you briefly talk about Dr. Feng for a minute and how you knew him and how he's been an asset to the field? Dr. Timothy Showalter: Yeah. I'm always happy to talk about Felix whenever there's an opportunity. You know, I was fortunate to know Felix Feng for about 20 years as we met during our residency programs through a career development workshop that we both attended and stayed close ever since. And you know, he's someone who made an impact on hundreds of lives of cancer researchers and other radiation oncologists and physicians in addition to the cancer patients he helped, either through direct clinical care or through his innovation. For this project in particular, I first became involved soon after Felix had co-founded Artera, which is, you know the company that developed this. And because Felix was such a prolific researcher, he was actually involved in this and this research project from all different angles, both from the multimodal digital pathology tool to the trial itself and being part of moving the field forward in that way. It's really great to be able to sort of celebrate a great example of Felix's legacy, which is team science, and really moving the field forward in terms of translational projects based on clinical trials. So, it's a great opportunity to highlight some of his work and I'm really happy to talk about it with you. Dr. Rafeh Naqash: Thanks, Tim. Definitely a huge loss for the scientific community. And I did see a while back that there was an international symposium organized, showcasing his work for him to talk about his journey last year where more than 200, 250 people from around the globe actually attended that. That speaks volumes to the kind of impact he's had as an individual and impact he's had on the scientific side of things as well. Dr. Timothy Showalter: Yes. And we just had the second annual Feng Symposium the day before ASCO GU this year with, again, a great turnout and some great science highlighted, as well as a real focus on mentorship and team science and collaboration. Dr. Rafeh Naqash: Thank you so much for telling us all about that. Now going to what you guys published in JCO Precision Oncology, which is this article on using a biomarker approach to stratify non-metastatic prostate cancer using this artificial intelligence based H&E score. Could you tell us the background for what started off this project? And I see there is a clinical trial data set that you guys have used, but there's probably some background to how this score or how this technology came into being. So, could you superficially give us an idea of how that started? Dr. Timothy Showalter: Sure. So, the multimodal AI score was first published in a peer reviewed journal back in 2022 and the test was originally developed through a collaboration with the Radiation Therapy Oncology Group or Energy Oncology Prostate Cancer Research Team. The original publication describes development and validation of a risk stratification tool designed to predict distant metastasis and prostate cancer specific mortality for men with localized prostate cancer. And the first validation was in men who were treated with definitive radiation therapy. There have been subsequent publications in that context and there's a set of algorithms that have been validated in localized prostate cancer and there's a test that's listed on NCCN guidelines based on that technology. The genesis for this paper was really looking at extending that risk stratification tool that was developed in localized prostate cancer to see if it could one, validate in a non-metastatic castrate refractory prostate cancer population for patients enrolled on the SPARTAN trial. And two, whether there was a potential role for the test output in terms of predicting benefit from apalutamide for patients with non-metastatic prostate cancer. For patients who are enrolled on the SPARTAN study, almost 40% of them had H&E stain biopsy slide material available and were eligible to be included in this study. Dr. Rafeh Naqash: Going a step back to how prostate cancer, perhaps on the diagnostic side using the pathology images is different as you guys have Gleason scoring, which to the best of my knowledge is not necessarily something that most other tumor types use. Maybe Ki-67 is somewhat of a comparison in some of the neuroendocrine cancers where high Ki-67 correlates with aggressive biology for prognosis. And similarly high Gleason scores, as we know for some of the trainees, correlates with poor prognosis. So, was the idea behind this based on trying to stratify or sub-stratify Gleason scoring further, where you may not necessarily know what to do with the intermediate high Gleason score individual tumor tissues? Dr. Timothy Showalter: Well, yeah. I mean, Gleason score is a really powerful risk stratification tool. As you know, our clinical risk groupings are really anchored to Gleason scores as an important driver for that. And while that's a powerful tool, I think, you know, some of the original recognition for applying computer vision AI into this context is that there are likely many other features located in the morphology that can be used to build a prognostic model. Going back to the genesis of the discovery project for the multimodal AI model, I think Felix Feng would have described it as doing with digital pathology and computer vision AI what can otherwise be done with gene expression testing. You know, he would have approached it from a genomic perspective. That's what the idea was. So, it's along the line of what you're saying, which is to think about assigning a stronger Gleason score. But I think really more broadly, the motivation was to come up with an advanced complementary risk stratification tool that can be used in conjunction with clinical risk factors to help make better therapy recommendations potentially. So that was the motivation behind it. Dr. Rafeh Naqash: Sure. And one of the, I think, other important teaching points we try to think about, trainees of course, who are listening to this podcast, is trying to differentiate between prognostic and predictive scores. So, highlighting the results that you guys show in relation to the MMAI score, the digital pathology score, and outcomes as far as survival as well as outcomes in general, could you try to help the listeners understand the difference between the prognostic aspect of this test and the predictive aspect of this test? Dr. Timothy Showalter: So let me recap for the listeners what we found in the study and how it kind of fits into the prognostic and the predictive insights. So, one, you know, as I mentioned before, this is ultimately a model that was developed and validated for localized prostate cancer for risk stratification. So, first, the team looked at whether that same tool developed in localized prostate cancer serves as a prognostic tool in non-metastatic castrate-refractory prostate cancer. So, we applied the tool as it was previously developed and identified that about 2/3 of patients on the SPARTAN trial that had specimens available for analysis qualified as high risk and 1/3 of patients as either intermediate or low risk, which we called in the paper 'non-high risk'. And we're able to show that the multimodal AI score, which ranges from 0 to 1, and risk group, was associated with metastasis free survival time to second progression or PFS 2 and overall survival. And so that shows that it performs as a prognostic tool i

In this JCO Precision Oncology Article Insights episode, Natalie DelRocco summarizes "Digital Pathology–Based Multimodal Artificial Intelligence Scores and Outcomes in a Randomized Phase III Trial in Men With Nonmetastatic Castration-Resistant Prostate Cancer" by Felix Y. Feng, et al published January 31, 2025. Come back for the next episode where JCO Precision Oncology Conversations host, Dr. Rafeh Naqash interviews the author of the JCO PO article discussed, Dr. Tim Showalter. TRANSCRIPT Natalie DelRocco: Hello and welcome to JCO Precision Oncology Article Insights. I'm your host Natalie Del Rocco. Today, we'll be discussing the article, "Digital Pathology-Based Multimodal Artificial Intelligence Scores and Outcomes in a Randomized Phase III Trial in Men With Nonmetastatic Castration-Resistant Prostate Cancer." We will also be discussing the accompanying editorial, "Leveraging Artificial Intelligence to Improve Risk Stratification in Nonmetastatic Castration-Resistant Prostate Cancer." So, we're going to start by summarizing the original report and then we'll jump into a few of the high-level interpretations that were supplied by the editorial.   The original report by Feng et. al. describes the application of multimodal artificial intelligence to data collected on a nonmetastatic castration-resistant prostate cancer. We will call this disease moving forward NMCRPC, a Clinical Trial. So, we're looking at data from an NMCRPC clinical trial. The SPARTAN trial was a randomized phase three trial and this study compared metastasis-free survival as the primary endpoint for those treated with traditional androgen deprivation therapy or ADT to those treated with androgen deprivation therapy plus apalutamide. Other secondary endpoints included progression-free survival and overall survival, but the primary endpoint there was metastasis-free survival or MFS. This study found that the addition of apalutamide resulted in a significantly longer median metastasis-free survival compared to androgen deprivation therapy alone. And we should note that this is a double-blind placebo-controlled trial. In the overall study, 1,207 patients participated and over the course of this study histopathology slides were collected and they were digitized for future use. And that future use is what we are going to be discussing today.  The authors do note that there are currently no good biomarkers for use in NMCRPC. The authors seem to be inspired by the ArteraAI prostate test, which was a recent application of multimodal artificial intelligence models. But in localized prostate cancer as opposed to NMCRPC, the authors constructed a multimodal artificial intelligence model or an MMAI model. They applied this to the SPARTAN trial with the intention of developing a risk score that could be used for risk stratification in NMCRPC. And we should note here that multimodal artificial intelligence or MMAI is a broad class of artificial intelligence models, and they can analyze different types of data at one time, hence the term multimodal. So in this example, the author's primary data source of interest were those digitized histopathology images because histopathology tells you a lot about NMCRPC. The authors though also wanted their model to consider traditional clinical factors that are known to be prognostic such as Gleason score, tumor stage, PSA level, and age. So those two different types of data, those histopathology images and that traditional clinical data are the two different types of data that make this model multimodal. So we should note here importantly, after dropping missing data, 420 patients contribute to this model, the MMAI model.  The authors generate a risk score from this MMAI model and they categorize that risk score into low, intermediate, and high risk groups using clinical knowledge. The authors found in their results that an increase in this MMAI risk score was associated with an increased hazard of metastasis-free survival event with a hazard ratio from a Cox proportional hazards model of 1.72. To summarize how the authors arrived here, they derived a risk score from this MMAI model which incorporates both imaging and regular data. They plugged this risk score into a Cox proportional hazards mode,l modeling metastasis-free survival and they found that an increase in that MMAI based risk score is associated with increased hazard of metastasis-free event with a hazard ratio of 1.72, which is quite large. Additionally, the risk score seemed to be associated with PFS2 and OS, which were two of the secondary endpoints from the SPARTAN clinical trial, though the effect sizes were more modest. Those are the highlights from the original report, the methods and the results.  The accompanying editorial notes that both histopathology and Gleason score specifically are very critical to understanding prostate cancer, and Gleason score alone is not sufficient to summarize the complexity of the disease, although it is a well validated prognostic factor for prostate cancer. So this makes MMAI an excellent tool in the setting described by the authors. We have an existing prognostic factor that doesn't describe the entire picture of the disease by itself and so we can use those digitized histopathology slides to help bolster our understanding and provide the model more information. MMAI allows you to do this because it can take in different types of data. So that was the main conclusion of the editorial.  They also summarize a number of recent validations of MMAI models in prostate cancer research, noting that it will be an important tool for risk stratification and has already been shown to outperform classical techniques. The editorial though does highlight a number of weaknesses of this paper, limitations and I think the most important one to highlight, and we touched on this earlier, is that 420 patients from the SPARTAN clinical trial contributed to the development of this MMAI score. That is a small proportion of the roughly 1200 patients that did participate in the SPARTAN clinical trial. So we have a small subgroup analysis that can be limiting and this model will need to be validated in a broader population in the future.   Thank you for listening to JCO Precision Oncology Article Insights. Don't forget to give us a rating or a review and be sure to subscribe so that 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.      

In this JCO Precision Oncology Article Insights episode, Jiasen He summarizes "Midline Low-Grade Gliomas of Early Childhood: Focus on Targeted Therapies." by Dr. Ludmila Papusha et al. published on July 08, 2024. TRANSCRIPT  Jiasen He: Hello and welcome to JCO Precision Oncology Article Insights. I'm your host Jiasen He, a JCO Journal's Editorial Fellow. Today, I will provide a summary on "Midline Low-Grade Gliomas of Early Childhood: Focus on Targeted Therapies." This is an observational study by Dr. Ludmila Papusha and colleagues that investigated the use of target therapies in early childhood with midline low grade glioma. Low grade glioma located in the hypothalamic chiasmatic region, thalamus and the brain stem are classified as midline low grade gliomas. Due to their unique locations, complete surgical resection is usually not able to be achieved. In young children with low grade glioma, radiation therapy is generally not favored. Traditionally, chemotherapy regimens such as carboplatin and vincristine have been used. However, as Dr. Papusha noted, this population often exhibits poor response to chemotherapy. With a growing understanding of the RAS-RAF-MEK pathways in low grade glioma, targeted therapy has emerged as a promising treatment option for this group. However, limited data is available regarding the mutation status of midline low grade glioma in early childhood and real world evidence on their response to targeted therapy remains scarce. Dr. Papusha's research aimed to address this critical gap by evaluating the effectiveness of targeted therapy in midline gliomas of early childhood. In this observational study, 40 patients under the age of three with midline low grade glioma were enrolled. Somatic genetic aberrations associated with activation of RAS-RAF signaling pathway were identified in 95% of the cohort with BRAF fusion being the most common aberration followed by the BRAF V600E mutation. These findings confirm the presence of targetable mutations in this specific population and provide a foundation for the use of targeted therapy. Diencephalic syndrome is a rare neurologic disorder typically affecting infants and young children with tumors located in the diencephalon. In this cohort, 43% of the optic pathway and hypothalamic gliomas manifested diencephalic syndrome. Among 30 patients who received first line chemotherapy, primary carboplatin and vincristine, the two-year and five-year progression-free survival rate were only 24% and 6.4% respectively, indicating that most patients experience disease progression with chemotherapy. Targeted therapy was administered to 27 patients of whom 22 experienced disease progression during or after chemotherapy. A total of 26 patients were available for evaluation. Dr. Papusha reported that all patients benefited from targeted therapy with 12 achieving a partial response, 2 showing a minor response and 12 maintaining stable disease. The median duration of targeted therapy was 16 months. These findings demonstrate the efficacy of targeted therapy in this population. Regarding toxicity from targeted therapy in this population, the most common adverse event was grade 1 to 2 skin toxicity observed in 52% of patients. Severe toxicity occurred in 36% of patients treated with trametinib including grade 3 skin toxicity, mucositis and hematuria. Additionally, grade 3 gastrointestinal toxicity was reported. Interestingly, all three patients who experienced grade 3 gastrointestinal toxicity had diencephalic syndrome at the time of targeted therapy initiation. The author also noted cases of disease progression during treatment breaks. However, tumor response was restored in all affected patients upon resumption of targeted therapy. The two-year progression-free survival rate was 59%. In conclusion, Dr. Papusha states the unique characteristics of infantile midline low grade glioma, including the high prevalence of diencephalic syndrome and resistance to chemotherapy. The study contributes valuable information on the targetable mutation profile in this population and provides further evidence supporting the use of targeted therapy while emphasizing the need for low monitoring of severe adverse events. As the author notes, important questions remain regarding the long term side effects of kinase inhibitors in infants and children as well as optimal duration of therapy. 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.  

JCO PO author Dr. Hatim Husain at University of California San Diego, shares insights into his JCO PO article, "Adagrasib Treatment After Sotorasib-Related Hepatotoxicity in Patients With KRASG12C-Mutated Non–Small Cell Lung Cancer: A Case Series and Literature Review", one of the top downloaded articles of 2024. Host Dr. Rafeh Naqash and Dr. Husain discuss how to utilize real-world and clinical trial data to discern the safety of adagrasib (another KRASG12C inhibitor), following sotorasib discontinuation due to hepatotoxicity. 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 Stephenson Cancer Center.  Today, I'm very excited to be joined by Dr. Hatim Hussain, Professor of Medicine at the University of California, San Diego, and author of the JCO Precision Oncology article, "Adagrasib Treatment After Sotorasib-Related Hepatotoxicity in Patients With KRAS-G12C-Mutated Non-Small Cell Lung Cancer: A Case Series and Literature Review." This was one of the top downloaded articles of 2024. And the other interesting thing is we generally don't do podcasts for case reports or case series, so this is one of the very few that we have selected for the podcast.  And at the time of the recording, our guest disclosures will be linked in the transcript.  Dr. Hussain, welcome to our podcast and thank you for joining us today. Dr. Hatim Husain: Thank you Dr. Naqash. Such a pleasure to be here and to speak with you all. Dr. Rafeh Naqash: And for the sake of this podcast, we'll refer to each other using our first names. So again, as I mentioned earlier that this is one of the very few case reports that we have selected for podcasts in JCOPO and the intention was very deliberate because it caters to something that is emerging where we are trying to treat more KRAS mutant patients with different KRAS inhibitors. And you tried to address one very unique aspect of it in this article which pertains to toxicity, especially hepatotoxicity. So for the sake of our listeners who tend to be community oncologists, trainees, academic faculty, can you tell us what are KRAS inhibitors? What is KRAS-G12C? And how do some of these approved KRAS inhibitors try to inhibit KRAS-G12C? Dr. Hatim Husain: Sure. For a long time actually we've not had a selective way to inhibit mutant KRAS. And over the last several years actually now, we've seen some dramatic advances here, particularly with the FDA approval of some of the selective inhibitors against the G12C variant. So KRAS-G12C is an isoform of KRAS that is most common in lung cancer and in fact actually is a transversion mutation in the KRAS gene that is a product of the carcinogen of tobacco. And in fact, the incidence of KRAS-G12C in lung cancer, it's quite astounding where as many KRAS-G12C patients there are, there can be, as you know, more than EGFR patients in certain populations and cohorts. The medicines sotorasib and adagrasib were rationally designed to be selective KRAS-G12C inhibitors. And the way that they do this is that they lock the KRAS protein in the OFF state. KRAS is a protein that oscillates between an ON and an OFF state and by virtue of locking the protein in an OFF state, it has shown inhibition of downstream signaling and mitigation of tumor growth and, in fact, tumor cell death. Dr. Rafeh Naqash: I absolutely love the way you describe the ON and OFF state, the oscillation where the ON is bound to the GTP and the OFF is bound to the GDP. The two KRAS inhibitors as currently FDA approved, as you mentioned, are RAS OFF inhibitors and they're emerging KRAS inhibitors that are RAS ON. So now, as we have known from previous data related to immunotherapy and EGFR TKIs such as osimirtinib where toxicity tends to be a compounded effect when you have osimertinib given within a certain timeline of previous checkpoint therapy, we've seen that in the clinic as the data for these KRAS inhibitors is emerging, you talk about some very interesting aspects and data about what has been published so far with regards to prior use of immunotherapy or chemo immunotherapy and the subsequent use of KRAS inhibitors. Could you elaborate upon that? Dr. Hatim Husain: Sure. So for this population of patients, the first line approved strategy is a strategy that most cases will incorporate immune therapy and chemotherapy. Immune therapy can have some important responses for patients with KRAS-G12C. This may be due to the fact that KRAS-G12C patients may have a higher incidence of prior smoking, perhaps higher mutation burdens in some patients, and perhaps immunogenicity is defined in that context. So the standard of care in the first line currently includes immune therapy or immune therapy and chemotherapy. Where the current FDA approvals for selective G12C inhibitors are are after the first line of therapy. There are a number of trials exploring these medicines in the first line to see if they may be incorporated into a future treatment paradigm. Dr. Rafeh Naqash: Thank you for that explanation. Now, going to what you published in this manuscript, can you help us understand the context of why you looked at this? Even though the data just comprises a case series of a handful of patients, but the observations are very interesting and these are real world scenarios where we often tend to be in situations where an individual has had toxicity on a certain drug and may have some response to that drug, but at the same time, the toxicity is challenging. And then you try to debate whether another drug in the same class might be beneficial without those toxicities. So you've tried to address that to some extent using this data set. So can you elaborate upon the question, the methodology, what you tried to look at, and important observations that you have? Dr. Hatim Husain: Yes, our paper was actually inspired by one of my patients. My patient was a patient who had received chemotherapy and immune therapy and actually in the past, even, you know, additional lines of immune therapies, it was really coming to the edge of where standard treatments would exist. It was right at the same time that these selective inhibitors had been approved and the patient had received sotorasib. And what was remarkable was, when given sotorasib, patient had a very high peak and spike in the transaminases. And we would do different trials of strategies around dose, around interruptions. And it was becoming quite difficult, actually, for the patient to proceed with additional therapy. It was around similar times, actually, and I do want to make a note that the patient was progressing, driven in large fact by the fact that we've had to interrupt the medicine. So we feel and believe that the patient had had inadequate dosing because of the level of toxicity that the patient was having with transaminase increase. So it was around the same time that adagrasib was first commercially available that we were at that point, and we did a trial of adagrasib post-sotorasib, largely driven by necessity, without having additional options to provide this patient in our environment. What was remarkable was when the patient received the adagrasib, there were no spikes in transaminases similar to what we had seen before. And that really led us thinking and to say, "Is this adverse event of transaminase increase or hepatotoxicity, is this a class effect with KRAS-G12C inhibitors, or is it more nuanced than that? Are there different, perhaps, mechanisms by which the medicines may work that may more or less differentially contribute to this adverse event?" And so that inspired us to kind of do a larger analysis, kind of really reach out to a larger network of physicians to gather insights and to gather responses in patients who had had a serial approach of sotorasib and then adagrasib.  What we found in this process was, in fact, actually there were many more cases of patients who resembled my patient, where the sequence of sotorasib going to adagrasib may have demonstrated differential contribution of hepatotoxicity in that context. And that really motivated us to put the publication together to due diligence, and in the publication spend a lot of time to kind of outline each patient case in detail around metrics surrounding time from last immune therapy, the number of days on sotorasib, the best response to sotorasib, the interval between sotorasib and adagrasib, the duration of adagrasib and then the grade of hepatotoxicity seen in each of the contexts, and particularly kind of the adagrasib and patient disease status as well. We were quite inspired by the effort to try to, if we do not have randomized data in comparison of one medicine to another, which we do not at this juncture, we do not have a randomized analysis to really diligently and rigorously compare the rates of AEs across each medicine, and even in sequence, we do not have that with immune therapy. But what we felt was trying to get more analysis of this sequential approach of, if patients had received a medicine, had to be taken off because of toxicity and then actually tried on a new medicine, what were those rates? We felt like that was at least some information to try to get at this question. Dr. Rafeh Naqash: And you bring forward a very important point, which is, a lot of times in the real world setting we don't have cross trial comparisons that can be fully applicable, or we don't have trials that compare two drugs of the same class with respect to the AE profile or efficacy. And observations like the one that you described that led to this study are extremely critical in trying to help answer these questions.  From a data standpoint, and you allude to it to some extent in your manuscript, the trials that are trying to addre

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.