JCO Precision Oncology Conversations

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JCO Precision Oncology Conversations is a monthly podcast featuring conversations with authors of clinically relevant and significant articles published in the JCO Precision Oncology journal. JCO Precision Oncology Conversations is hosted by the journal's social media editor, Dr. Abdul Rafeh Naqash.

  1. ctDNA in Metastatic Invasive Lobular Carcinoma

    7H AGO

    ctDNA in Metastatic Invasive Lobular Carcinoma

    JCO PO author Dr. Foldi at UPMC Hillman Cancer Center and University of Pittsburgh School of Medicine shares insights into the JCO PO article, "Personalized Circulating Tumor DNA Testing for Detection of Progression and Treatment Response Monitoring in Patients With Metastatic Invasive Lobular Carcinoma of the Breast." Host Dr. Rafeh Naqash and Dr. Foldi discuss how serial ctDNA testing in patients with mILC is feasible and may enable personalized surveillance and real-time therapeutic monitoring. 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. Rafeh Naqash, podcast editor for JCO Precision Oncology and Associate Professor at the OU Health Stephenson Cancer Center at the University of Oklahoma. Today, we are thrilled to be joined by Dr. Julia Foldi, Assistant Professor of Medicine in the Division of Hematology-Oncology at University of Pittsburgh School of Medicine and the Magee-Womens Hospital of the UPMC. She is also the lead and corresponding author of the JCO Precision Oncology article entitled "Personalized Circulating Tumor DNA Testing for Detection of Progression and Treatment Response Monitoring in Patients with Metastatic Invasive Lobular Carcinoma of the Breast." At the time of this recording, our guest's disclosures will be linked in the transcript. Julia, welcome to our podcast, and thank you for joining us today. Dr. Julia Foldi: Thank you so much for having me. It is a pleasure. Dr. Rafeh Naqash: Again, your manuscript and project address a few interesting things, so we will start with the basics, since we have a broad audience that comprises trainees, community oncologists, and obviously precision medicine experts as well. So, let us start with invasive lobular breast carcinoma. I have been out of fellowship for several years now, and I do not know much about invasive lobular carcinoma. Could you tell us what it is, what some of the genomic characteristics are, why it is different, and why it is important to have a different way to understand disease biology and track disease status with this type of breast cancer? Dr. Julia Foldi: Yes, thank you for that question. It is really important to frame this study. So, lobular breast cancers, which we shorten to ILC, are the second most common histologic subtype of breast cancer after ductal breast cancers. ILC makes up about 10 to 15 percent of all breast cancers, so it is relatively rare, but in the big scheme of things, because breast cancer is so common, this represents actually over 40,000 new diagnoses a year in the US of lobular breast cancers. What is unique about ILC is it is characterized by loss of an adhesion molecule, E-cadherin. It is encoded by the CDH1 gene. What it does is these tumors tend to form discohesive, single-file patterns and infiltrate into the tumor stroma, as opposed to ductal cancers, which generally form more cohesive masses. As we generally explain to patients, ductal cancers tend to form lumps, while lobular cancers often are not palpable because they infiltrate into the stroma. This creates several challenges, particularly when it comes to imaging. In the diagnostic setting, we know that mammograms and ultrasounds have less sensitivity to detect lobular versus ductal breast cancer. When it comes to the metastatic setting, conventional imaging techniques like CT scans have less sensitivity to detect lobular lesions often. One other unique characteristic of ILC is that these tumors tend to have lower proliferation rates. Because our glucose-based PET scans depend on glucose uptake of proliferating cells, often these tumors also are not avid on conventional FDG-PET scans. It is a challenge for us to monitor these patients as they go through treatment. If you think about the metastatic setting, we start a new treatment, we image people every three to four cycles, about every three months, and we combine the imaging results with clinical assessment and tumor markers to decide if the treatment is working. But if your imaging is not reliable, sometimes even at diagnosis, to really detect these tumors, then really, how are we following these patients? This is really the unique challenge in the metastatic setting in patients with lobular breast cancer: we cannot rely on the imaging to tell if patients are responding to treatment. This is where liquid biopsies are really, really important, and as the field is growing up and we have better and better technologies, lobular breast cancer is going to be a field where they are going to play an important role. Dr. Rafeh Naqash: Thank you for that easy-to-understand background. The second aspect that I would like to have some context on, to help the audience understand why you did what you did, is ctDNA, tumor informed and non-informed. Could you tell us what these subtypes of liquid biopsies are and why you chose a tumor informed assay for your study? Dr. Julia Foldi: Yes, it is really important to understand these differences. As you mentioned, there are two main platforms for liquid biopsy assays, circulating tumor DNA assays. I think what is more commonly used in the metastatic setting are non-tumor informed assays, or agnostic assays. These are generally next-generation sequencing-based assays that a lot of companies offer, like Guardant, Tempus, Caris, and FoundationOne. These do not require tumor tissue; they just require a blood sample, a plasma sample, essentially. The next-generation sequencing is done on cell-free DNA that is extracted from the plasma, and it is looking for any cell-free DNA and essentially, figuring out what part of the cell-free DNA comes from the tumor is done through a bioinformatics approach. Most of these assays are panel tests for cancer-associated mutations that we know either have therapeutic significance or biologic significance. So, the results we receive from these tests generally read out specific mutations in oncogenic genes, or sometimes things like fusions where we have specific targeted drugs. Some of the newer assays can also read out tumor fraction; for example, the newest generation Guardant assay that is methylation-based, they can also quantify tumor fraction. But the disadvantage of the tumor agnostic approach is that it is a little bit less sensitive. Opposed to that, we have our tumor informed tests, and these require tumor tissue. Essentially, the tumor is sequenced; this can either be whole exome or whole genome sequencing. The newer generation assays are now using whole genome sequencing of the tumor tissue, and a personalized, patient-specific panel of alterations is essentially barcoded on that tumor tissue. This can be either structural variants or it can be mutations, but generally, these are not driver mutations, but sort of things that are present in the tumor tissue that tend to stay unchanged over time. For each particular patient, a personalized assay, if you want to call it a fingerprint or barcode, is created, and then that is what then is used to test the plasma sample. Essentially, you are looking for that specific cancer in the blood, that barcode or fingerprint in the blood. Because of this, this is a much more sensitive way of looking for ctDNA, and obviously, this detects only that particular tumor that was sequenced originally. So, it is much more sensitive and specific to that tumor that was sequenced. You can argue for both approaches in different settings. We use them in different settings because they give us different information. The tumor agnostic approach gives us mutations, which can be used to determine what the next best therapy to use is, while the tumor informed assay is more sensitive, but it is not going to give us information on therapeutic targets. However, it is quantified, and we can follow it over time to see how it changes. We think that it is going to tell us how patients respond to treatment because we see our circulating tumor DNA levels rise and fall as the cancer burden increases or decreases. We decided to use the tumor informed approach in this particular study because we were really interested in how to determine if patients are having response to treatment versus if they are going to progress on their treatment, more so than looking for specific mutations. Dr. Rafeh Naqash: When you think about these tumor informed assays and you think about barcoding the mutations on the original tumor that you try to track or follow in subsequent blood samples, plasma samples, in your experience, if you have done it in non-lobular cancers, do you think shedding from the tumor has something to do with what you capture or how much you capture? Dr. Julia Foldi: Absolutely. I think there are multiple factors that go into whether someone has detectable ctDNA or not, and that has to do with the type of cancer, the location, right, where is the metastatic site? This is something that we do not fully understand yet: what are tumors that shed more versus not? There is also clearance of ctDNA, and so how fast that clearance occurs is also something that will affect what you can detect in the blood. ctDNA is very short-lived, only has a half-life of hours, and so you can imagine that if there is little shedding and a lot of excretion, then you are not going to be detecting a lot of it. In general, in the metastatic setting, we see that we can detect ctDNA in a lot of cases, especially when patients are progressing on treatment, because we imagine their tumor burden is higher at that point. Even with the non-tumor informed assays, we detect a lot of ctDNA. Part of this study was to actually assess: what is the proportion of patients where we can have this information? Because if we are only going to be able to detect ctDNA in less than 50 percent of patients, then it is not going to be a

    28 min
  2. JCO PO Article Insights: Circulating Tumor DNA in Germ Cell Tumors

    JAN 28

    JCO PO Article Insights: Circulating Tumor DNA in Germ Cell Tumors

    In this JCO Precision Oncology Article Insights episode, host Dr. Jiasen He summaries the article, "Longitudinal Evaluation of Circulating Tumor DNA as a Prognostic Biomarker to Detect Molecular Residual Disease in Germ Cell Tumors," by Hassoun et al. TRANSCRIPT Jiasen He: Hello, and welcome to the JCO Precision Oncology Article Insights. I'm your host, Jiasen He, and today, we'll be discussing the JCO Precision Oncology article, "Longitudinal Evaluation of Circulating Tumor DNA as a Prognostic Biomarker to Detect Molecular Residual Disease in Germ Cell Tumors," by Dr. Rebecca Hassoun and colleagues. Traditionally, treatment response for solid tumors has relied on imaging, which focuses on visible anatomic changes in the tumor. However, imaging does not always reflect molecular or cellular changes and cannot detect microscopic disease, which is clinically important and often linked to relapse. Liquid biopsy, on the other hand, is minimally invasive and can be used for cancer monitoring by analyzing circulating biomarkers in biofluids such as blood. One type of liquid biopsy is circulating tumor DNA, or ctDNA, which measures small fragments of DNA released by tumor cells into the bloodstream. ctDNA can allow precise monitoring of tumor-specific mutations and be a powerful tool for assessing treatment responses. ctDNA has already been applied in clinical settings for cancers such as non-small cell lung cancer and breast cancer, etcetera. However, there is still limited data on the use of ctDNA for germ cell tumors. Germ cell tumors are the most common malignancy affecting men aged 15 to 35 years. Accurate risk stratification and disease monitoring is key to risk-adapted therapy, maximizing the chance of cure while minimizing side effects. One unique tool we use currently for diagnosis, staging, and monitoring is serum tumor markers, such as AFP, beta-hCG, and LDH. However, these markers have limitations, including false elevation in certain clinical scenarios, and studies have shown that they can be normal in up to 40 percent of patients with germ cell tumor. This creates an unmet need for other sensitive and specific biomarkers to improve patient care. In this paper, the authors investigated the use of ctDNA in a cohort of patients with germ cell tumor at various disease time points. They compared ctDNA results with traditional serum tumor markers to evaluate whether ctDNA can predict relapse and survival outcomes. This multi-institutional retrospective study included patients with stage I, II, and III germ cell tumors, primarily testicular cancer, who had at least one ctDNA test result. ctDNA was evaluated longitudinally at different time points, including pre-orchiectomy, during the molecular residual disease, or MRD, window, defined as 1 to 12 weeks post-orchiectomy but before primary therapy, and during the surveillance window, defined as more than 12 weeks post-orchiectomy or follow retroperitoneal lymph node dissection or post-chemotherapy. ctDNA analysis was performed using a tumor-informed 16 multiplex PCR next-generation sequencing assay. A total of 324 plasma samples were analyzed from 74 patients in this cohort. The majority had stage I disease, around 40 percent, and nonseminomatous histology, around 70 percent. 15 patients were evaluated in the pre-orchiectomy window, and only one patient tested negative for ctDNA. This patient had stage I disease. The authors further assessed ctDNA positivity in both the MRD window and surveillance window, evaluating its association with event-free survival. They found that ctDNA outperformed serum tumor markers in both settings. ctDNA positivity was associated with significantly worse event-free survival compared with ctDNA-negative patients. Among the 14 patients with stage II to III disease who had ctDNA assessed in both the MRD window and surveillance window, nine patients consistently had a negative ctDNA or converted from positive to negative over time. In contrast, five patients demonstrated persistent ctDNA positivity, and all of these patients subsequently relapsed. Among the 38 patients who had both ctDNA and serum tumor marker tests during the MRD window, nine patients showed discordant biomarker results. Of these, 6 patients were ctDNA-negative but serum tumor marker-positive, and one of them experienced recurrence. Three patients were ctDNA-positive but serum tumor marker-negative, and one of these patients also recurred. During the surveillance window, 46 patients had both biomarkers available, and 10 showed discordant results. Three patients were ctDNA-negative but serum tumor marker-positive, and none of them recurred. In contrast, all seven patients who were ctDNA-positive but serum tumor marker-negative experienced recurrence. This intriguing data strongly support the potential role of ctDNA in patients with stage I, II, and III germ cell tumors. However, as the authors noted, the retrospective nature of the study presents limitations, as treatment approaches, imaging schedules, and the timing of testing were not standardized, and ctDNA testing varies among participating institutions. Larger prospective trials with standardized protocols and long-term follow-up will be essential to validate these findings and determine how ctDNA can be reliably integrated into clinical practice. 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.

    7 min
  3. FGFR2b Prevalence in Advanced GC: FORTITUDE-101 Prescreening

    JAN 21

    FGFR2b Prevalence in Advanced GC: FORTITUDE-101 Prescreening

    JCO PO author Dr. Wainberg at UCLA shares insights into the JCO PO article, "Prevalence of FGFR2b Protein Overexpression in Advanced Gastric Cancers During Prescreening for the Phase III FORTITUDE-101 Trial." Host Dr. Rafeh Naqash and Dr. Wainberg discuss how FGFR2b prevalence was similar across geographic regions and within defined patient and sample variables regardless of the level of expression. TRANSCRIPT TO COME

    20 min
  4. Palbociclib in Tumors with CDKN2A Loss or Mutation

    JAN 7

    Palbociclib in Tumors with CDKN2A Loss or Mutation

    In this JCO Precision Oncology Article Insights episode, host Dr. Harold Nathan Tan summarizes "Palbociclib in Patients With Head and Neck Cancer and Other Tumors With CDKN2A Alterations: Results From the Targeted Agent and Profiling Utilization Registry Study" by Worden et al.  TRANSCRIPT Harold Nathan Tan: Welcome to JCO Precision Oncology Article Insights, where we explore research that is reshaping our understanding of cancer therapeutics. I'm your host, Harold Nathan Tan, and today's episode centers on the TAPUR study, an analysis that confronts a long-standing assumption in molecular oncology: namely, whether CDKN2A alterations create a therapeutic vulnerability that can be exploited by CDK4/6 inhibition with palbociclib. CDKN2A is one of the most frequently altered tumor suppressors across solid tumors. Its importance lies in its production of two proteins, p16 and p14, which serve as guardians of cell cycle progression. p16 directly inhibits CDK4 and CDK6, preventing phosphorylation of the RB protein and therefore blocking entry into S phase, whereas p14 stabilizes p53 by counteracting MDM2, enabling cells to pause or die in response to oncogenic stress. When CDKN2A is lost or mutated, these dual checkpoints collapse. CDK4/6 activity becomes unchecked, RB remains phosphorylated and inactive, and p53-mediated surveillance is blunted from a mechanistic standpoint. This creates a possible dependency on CDK4/6 signaling that could, in principle, be therapeutically reversed by palbociclib. The TAPUR study is a prospective phase 2 basket study designed to evaluate whether FDA-approved targeted agents can meaningfully benefit patients with advanced treatment-refractory cancers harboring specific genomic alterations. In this analysis, patients were eligible for palbociclib if their tumors carried CDKN2A loss or mutation and retained RB activity. Two cohorts were examined: one consisting of head and neck cancers, and another composed of a broad spectrum of tumor types that collectively shared the CDK2 alteration. The results from the head and neck cancer cohort are particularly intriguing. Among the 28 available patients, the study observed a disease control rate of 40%, surpassing the predefined threshold for a positive signal. Although the objective response rate was low at only 4% with one partial response, the durability of disease stabilization was clinically meaningful. However, the most important insight comes from examining which head and neck tumors benefited. The strongest and most durable disease control occurred in non-squamous malignancies, particularly salivary gland tumors such as adenocarcinoma, adenoid cystic carcinoma, and poorly differentiated parotid tumors, as well as in esthesioneuroblastoma. In contrast, classic head and neck squamous cell carcinoma rarely demonstrated sustained benefit. When progression-free survival was analyzed, non-squamous tumors achieved a median PFS of approximately 20 weeks compared to just eight weeks in squamous tumors. This divergence reflects deep biological differences. Many non-squamous head and neck cancers preserve an intact RB axis and rely on CDK4/6-driven cell cycle control as a core proliferative mechanism. By contrast, squamous tumors tend to accumulate a dense array of co-alterations that weaken or circumvent CDK4/6 dependency. Many squamous tumors also harbor disruptive TP53 mutations, removing essential checkpoint control and allowing the cell to bypass the growth-arresting effects of palbociclib. In other words, even though CDKN2A loss is present, CDK4/6 is no longer the dominant node controlling proliferation in these cancers, and the tumor simply finds other ways to drive cell cycle entry. One of the most thought-provoking findings from the TAPUR study involves esthesioneuroblastoma. Three patients with this rare tumor achieved durable disease control despite the lack of standardized systemic treatment options for this malignancy. Genomic analyses have shown that while esthesioneuroblastoma often carries TP53 or IDH2 mutations, a meaningful subset exhibits alterations in CDKN2A or related cell cycle regulators. The consistency of this disease stabilization observed in TAPUR may reflect a lineage-specific reliance on CDK4/6 signaling, opening the door for future exploration of CDK4/6 inhibitors in this orphan disease. In the histology-pooled cohort, which included 40 available patients across 18 tumor types, palbociclib did not achieve the disease control threshold required to declare activity, with only a disease control rate of 13% and an ORR of 5%. While a few isolated responses occurred, for instance in thymic carcinoma and B-cell lymphoma, the overall disease control rate was 13%, which failed to rise above what might be expected from the natural history of advanced refractory cancers. This outcome reinforces the principle that CDKN2A loss is not a universal predictor of CDK4/6 dependency. Many of the tumors represented in this cohort, such as pancreatic cancer, melanoma, and gastrointestinal malignancies, are well known to evolve multiple compensatory mechanisms that circumvent CDK4/6 as a critical proliferative node. The safety profile of palbociclib was consistent with its known hematologic toxicities. High rates of neutropenia, leukopenia, and thrombocytopenia were observed, along with one treatment-related death due to respiratory failure. In a setting where activity is limited to specific subgroups, these toxicities underscore the importance of careful patient selection and raise the bar for demonstrating clinically meaningful benefit, particularly in heavily pretreated populations. So what do these findings tell us about the broader landscape of precision oncology? First, they remind us that a mutation's functional role is dependent on the cellular and lineage context in which it occurs. CDKN2A loss may accelerate proliferation in many tumors, but the mechanism of that acceleration varies widely, and the degree to which a tumor relies on CDK4/6 signaling is anything but uniform. Second, the findings suggest that palbociclib monotherapy may hold meaningful and durable benefit in the subset of non-squamous head and neck cancers, particularly salivary gland malignancies and esthesioneuroblastoma. Third and perhaps most importantly, the results reinforce a growing consensus that the future of CDK4/6 inhibition in solid tumors lies not in monotherapy, but in rational combination strategies. CDK4/6 inhibitors have been shown to synergize with EGFR inhibitors, PIK3CA, and mTOR inhibitors, MEK inhibition, and even immune checkpoint blockade. These combinations aim to dismantle the compensatory pathways that allow tumors to escape CDK4/6 blockade and may unlock therapeutic potential in tumors that show limited sensitivity to monotherapy. Ultimately, the TAPUR findings challenge the notion that CDKN2A is a straightforward predictive biomarker. Instead, the study reveals CDKN2A as a biomarker whose meaning is modulated by tumor lineage, co-mutation status, and the broader regulatory circuit governing proliferation. Precision oncology must therefore move beyond single-gene interpretation towards integrated frameworks that situate genomic alterations within their biologic ecosystems. In some head and neck cancer subtypes, particularly non-squamous malignancies, that ecosystem appears amenable to CDK4/6 inhibition, and that insight, not the simplistic gene-to-drug match, represents the true value of the TAPUR analysis. Thank you for joining me for this episode of JCO Precision Oncology Article Insights. I'm Harold Nathan Tan, and I look forward to exploring more research that continues to refine how we understand and strategically exploit the vulnerabilities of cancer. 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.

    9 min

  5. 12/17/2025

    FGFR3 Alteration Status and Immunotherapy in Urothelial Cancer

    JCO PO author Dr. Shilpa Gupta at Cleveland Clinic Children's Hospital shares insights into her article, "Fibroblast Growth Factor Receptor 3 (FGFR3) Alteration Status and Outcomes on Immune Checkpoint Inhibitors (ICPI) in Patients with Metastatic Urothelial Carcinoma". Host Dr. Rafeh Naqash and Dr. Gupta discuss how FGFR3 combined with TMB emerged as a biomarker that may be predictive for response to ICPI in mUC. 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 I am excited to be joined by Dr. Shilpa Gupta, Director of Genitourinary Medical Oncology at the Cancer Institute and co-leader of the GU Oncology Program at the Cleveland Clinic, and also lead author of the JCO PO article titled "Fibroblast Growth Factor Receptor 3 Alteration Status and Outcomes on Immune Checkpoint Inhibitors in Patients With Metastatic Urothelial Carcinoma." At the time of this recording, our guest's disclosures will be linked in the transcript. Shilpa, welcome again to the podcast. Thank you for joining us today. Dr. Shilpa Gupta: Thank you, Rafeh. Honor to be here with you again. Dr. Rafeh Naqash: It is nice to connect with you again after two years, approximately. I think we were in our infancy of our JCO PO podcast when we had you first time, and it has been an interesting journey since then. Dr. Shilpa Gupta: Absolutely. Dr. Rafeh Naqash: Well, excited to talk to you about this article that you published. Wanted to first understand what is the genomic landscape of urothelial cancer in general, and why should we be interested in FGFR3 alterations specifically? Dr. Shilpa Gupta: Bladder cancer or urothelial cancer is a very heterogeneous cancer. And while we find there is a lot of mutations can be there, you know, like BRCA1, 2, in HER2, in FGFR, we never really understood what is driving the cancer. Like a lot of old studies with targeted therapies did not really work. For example, we think VEGF can be upregulated, but VEGF inhibitors have not really shown definite promise so far. Now, FGFR3 receptor is the only therapeutic target so far that has an FDA approved therapy for treating metastatic urothelial cancer patients, and erdafitinib was approved in 2019 for patients whose tumors overexpressed FGFR3 mutations, alterations, or fusions. And in the landscape of bladder cancer, it is important because in patients with non-muscle invasive bladder cancer, about 70 to 80% patients can have this FGFR3. But as patients become metastatic, the alterations are seen in, you know, only about 10% of patients. So the clinical trials that got the erdafitinib approved actually used archival tumor from local cancer. So when in the real world, we don't see a lot of patients if we are trying to do metastatic lesion biopsies. And why it is important to know this is because that is the only targeted therapy available for our patients right now. Dr. Rafeh Naqash: Thank you for giving us that overview. Now, on the clinical side, there is obviously some interesting data for FGFR3 on the mutation side and the fusion side. In your clinical practice, do you tend to approach these patients differently when you have a mutation versus when you have a fusion? Dr. Shilpa Gupta: We can use the treatment regardless of that. Dr. Rafeh Naqash: I recently remember I had a patient with lung cancer, squamous lung cancer, who also had a synchronous bladder mass. And the first thought from multiple colleagues was that this is metastatic lung. And interestingly, the liquid biopsy ended up showing an FGFR3-TACC fusion, which we generally don't see in squamous lung cancers. And then eventually, I was able to convince our GU colleagues, urologists, to get a biopsy. They did a transurethral resection of this tumor, ended up being primary urothelial and synchronous lung, which again, going back to the FGFR3 story, I saw in your paper there is a mention of FGFR3-TACC fusions. Anything interesting that you find with these fusions as far as biology or tumor behavior is concerned? Dr. Shilpa Gupta: We found in our paper of all the patients that were sequenced that 20% had the pathognomonic FGFR3 alteration, and the most common were the S249C, and the FGFR3-TACC3 fusion was in 45 patients. And basically I will say that we didn't want to generate too much as to fusion or the differences in that. The key aspect of this paper was that historically there were these anecdotal reports saying that patients who have FGFR alterations or mutations, they may not respond well to checkpoint inhibitors because they have the luminal subtype. And these were backed by some preclinical data and small anecdotal reports. But since then, we have seen that, and that's why a lot of people would say that if somebody's tumor has FGFR3, don't give them immunotherapy, give them erdafitinib first, right? So then we had this Phase 3 trial called the THOR trial, which actually showed that giving erdafitinib before pembrolizumab was not better. That debunked that myth, and we are actually reiterating that because in our work we found that patients who had FGFR3 alterations or fusions, and if they also have TMB-high, they actually respond very well to single agent immunotherapy. And that is, I think, very important because it tells us that we are not really seeing that so-called potential of resistance to immunotherapy in these patients. So to answer your question, yeah, we did see those differences, but I wouldn't say that any one marker is more prominent. Dr. Rafeh Naqash: The analogy is kind of similar to what we see in lung cancer with these mutations called STK11/KEAP1, which are also present in some other tumors. And one of the questions that I don't think has been answered is when you have in lung cancer, if you extrapolate this, where doublet or single agent immunotherapy doesn't do as well in tumors that are STK11 mutated. But then if you have a high TMB, question is does that TMB supersede or trump the actual mutation? Could that be one reason why you see the TMB-high but FGFR3 altered tumors in your dataset responding or having better outcomes to immunotherapy where potentially there is just more neoantigens and that results in a more durable or perhaps better response to checkpoint therapy? Dr. Shilpa Gupta: It could be. But you know, the patients who have FGFR alterations are not that many, right? So we have already seen that just patients with TMB-high respond very well to immunotherapy. Our last podcast was actually on that, regardless of PD-L1 that was a better predictor of response to immunotherapy. So I think it's not clear if this is adding more chances of response or not, because either way they would respond. But what we didn't see, which was good, that if they had FGFR3, it's not really downplaying the fact that they have TMB-high and that patients are not responding to immunotherapy. So we saw that regardless, and that was very reassuring. Dr. Rafeh Naqash: So if tomorrow in your clinic you had an individual with an FGFR3 alteration but TMB-high, I guess one could be comfortable just going ahead with immunotherapy, which is what the THOR trial as you mentioned. Dr. Shilpa Gupta: Yes, absolutely. And you know, when you look at the toxicity profiles of pembrolizumab and erdafitinib, really patients really struggle with using the FGFR3 inhibitors. And of course, if they have to use it, we have to, and we reserve it for patients. But it's not an easy drug to tolerate. Currently the landscape is such that, you know, frontline therapy has now evolved with an ADC and immunotherapy combinations. So really if patients progress and have FGFR3 alterations, we are using erdafitinib. But let's say if there were a situation where a patient has had chemotherapy, no immunotherapy, and they have FGFR3 upregulation and TMB-high, yes, I would be comfortable with using only pembrolizumab. And that really ties well together what we saw in the THOR trial as well. Dr. Rafeh Naqash: Going to the clinical applications, you mentioned a little bit of this in the manuscript, is combination therapies. You alluded to it a second back. Everything tends to get combined with checkpoint therapy these days, as you've seen with the frontline urothelial, pembrolizumab with an ADC. What is the landscape like as far as some of these FGFR alterations are concerned? Is it reasonable to combine some of those drugs with immune checkpoint therapy? And what are some of the toxicity patterns that you've potentially seen in your experience? Dr. Shilpa Gupta: So there was indeed a trial called the NORSE trial. It was a randomized trial but not a comparative cohort, where they looked at FGFR altered patients. And when they combined erdafitinib plus cetrelimab, that did numerically the response rates were much higher than those who got just erdafitinib. So yeah, the combination is definitely doable. There is no overlapping toxicities. But unfortunately that combination has not really moved forward to a Phase 3 trial because it's so challenging to enroll patients with such kind of rare mutations on large trials, especially to do registration trials. And since then the frontline therapy has evolved to enfortumab vedotin and pembrolizumab. I know there is an early phase trial looking at a next generation FGFR inhibitor. There is a triplet combination looking in Phase 1 setting with a next generation FGFR inhibitor with EV-pembro. However, it's not a randomized trial. So you know, I worry about such kinds of combinations where we don't have a path for registration. And in the four patients that have been treated, four or five patients in the early phase as a part of basket

    19 min

  6. 11/26/2025

    JCO PO Article Insights: Genomic Risk Classifiers in Localized Prostate Cancer

    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.

    4 min

  7. 11/19/2025

    DLL3 and SEZ6 Expression in Neuroendocrine Carcinomas

    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 exc

    27 min

  8. 10/29/2025

    Somatic Mutations of Colorectal Cancer by Birth Cohort

    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.

    8 min
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JCO Precision Oncology Conversations is a monthly podcast featuring conversations with authors of clinically relevant and significant articles published in the JCO Precision Oncology journal. JCO Precision Oncology Conversations is hosted by the journal's social media editor, Dr. Abdul Rafeh Naqash.

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