{"title":"ASCO21 – Key Updates for Kidney Cancer Patients","authors":"Neil J. Shah","doi":"10.52733/kcj19n2-s1-a14","DOIUrl":"https://doi.org/10.52733/kcj19n2-s1-a14","url":null,"abstract":"Over the last decade, novel immunotherapies and targeted therapies have revolutionized the kidney cancer treatment landscape. ASCO Annual Meeting, 2021, was yet another success against this battle, and in this commentary, we will focus on a few critical abstracts presented at the meeting pertinent to kidney cancer.","PeriodicalId":74040,"journal":{"name":"Kidney cancer journal : official journal of the Kidney Cancer Association","volume":"41 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78074474","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Changes, Challenges and Opportunities in Cancer Care During the COVID-19 Era and Beyond: Building on Lessons Learned From the Pandemic","authors":"Robert Motzer, E. Jonasch, B. McGregor, R. Figlin","doi":"10.52733/kcj19n2-r1","DOIUrl":"https://doi.org/10.52733/kcj19n2-r1","url":null,"abstract":"In this roundtable discussion, nation's leading cancer experts from across the country share their perspectives on current changes, challenges and opportunities for delivering cancer care during the COVID-19 era. The roundtable panel examines long-term implications of the pandemic on the management and treatment of cancer especially focusing on significant issues in patient safety, toxicities associated with the use of immunotherapy, COVID-19 vaccination, and clinical trial designs. In this discussion, experts also brainstorm a range of recommendations focusing especially on how the cancer community can capitalize on lessons learned from the pandemic to develop creative approaches that can be taken forward.","PeriodicalId":74040,"journal":{"name":"Kidney cancer journal : official journal of the Kidney Cancer Association","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81703720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ASCO21 – Kidney Cancer Highlights","authors":"J. Graham","doi":"10.52733/kcj19n2-s1-a13","DOIUrl":"https://doi.org/10.52733/kcj19n2-s1-a13","url":null,"abstract":"With the virtual ASCO21 meeting behind us, we can now pause and reflect on the data presented. This year’s program contained a number of exciting abstracts in the kidney cancer space, including potentially practice changing results in the adjuvant setting. In this article, I will highlight some of the most interesting abstracts related to kidney cancer/renal cell carcinoma, including those presented in the poster, oral, and plenary sessions.","PeriodicalId":74040,"journal":{"name":"Kidney cancer journal : official journal of the Kidney Cancer Association","volume":"133 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81828404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Practice Changing Results in RCC come from ASCO 2021","authors":"M. Matrana, Erin Pierce, Erica Doubleday","doi":"10.52733/kcj19n2-s1-a12","DOIUrl":"https://doi.org/10.52733/kcj19n2-s1-a12","url":null,"abstract":"For the second year in a row, the annual meeting of the American Society of Clinical Oncology (ASCO) was held virtually due to the ongoing COVID-19 pandemic. Nonetheless, the meeting was hailed as a great success and brought much practice changing data in the field of genitourinary medical oncology, including kidney cancer.","PeriodicalId":74040,"journal":{"name":"Kidney cancer journal : official journal of the Kidney Cancer Association","volume":"142 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86597361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"ASCO 21 - Recommended Abstracts in Kidney Cancer","authors":"R. Figlin","doi":"10.52733/kcj19n2-s1-a16","DOIUrl":"https://doi.org/10.52733/kcj19n2-s1-a16","url":null,"abstract":"These recommended abstracts have been selected by Robert A. Figlin, MD, Editor-in- Chief. The chosen abstracts provided here highlight some of the most important trends in ongoing trials and reflect the foremost research and strategies from latest clinical trials that impact the current standard of care in renal cancer","PeriodicalId":74040,"journal":{"name":"Kidney cancer journal : official journal of the Kidney Cancer Association","volume":"179 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77004260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Novel Strategies in Locally Advanced Kidney Cancer - Highlights from KEYNOTE-564.","authors":"Nirmish Singla","doi":"10.52733/kcj19n2-s1-a15","DOIUrl":"https://doi.org/10.52733/kcj19n2-s1-a15","url":null,"abstract":"","PeriodicalId":74040,"journal":{"name":"Kidney cancer journal : official journal of the Kidney Cancer Association","volume":"19 2 Suppl","pages":"74"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8415727/pdf/nihms-1732674.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39385597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Renzo G DiNatale, Roy Mano, Vladimir Makarov, Nicole Rusk, Esther Drill, Andrew Winer, Alexander Sankin, Angela Yoo, Benjamin A Freeman, James J Hsieh, Ying-Bei Chen, Jonathan A Coleman, Michael Berger, Irina Ostrovnaya, Timothy A Chan, Paul Russo, Ed Reznik, A Ari Hakimi
{"title":"Resource-efficient pooled sequencing expands translational impact in solid tumors.","authors":"Renzo G DiNatale, Roy Mano, Vladimir Makarov, Nicole Rusk, Esther Drill, Andrew Winer, Alexander Sankin, Angela Yoo, Benjamin A Freeman, James J Hsieh, Ying-Bei Chen, Jonathan A Coleman, Michael Berger, Irina Ostrovnaya, Timothy A Chan, Paul Russo, Ed Reznik, A Ari Hakimi","doi":"10.52733/KCJ18n2.a1","DOIUrl":"10.52733/KCJ18n2.a1","url":null,"abstract":"<p><p>Intratumoral genetic heterogeneity (ITH) poses a significant challenge to utilizing sequencing for decision making in the management of cancer. Although sequencing of multiple tumor regions can address the pitfalls of ITH, it does so at a significant increase in cost and resource utilization. We propose a pooled multiregional sequencing strategy, whereby DNA aliquots from multiple tumor regions are mixed prior to sequencing, as a cost-effective strategy to boost translational value by addressing ITH while preserving valuable residual tissue for secondary analysis. Focusing on kidney cancer, we demonstrate that DNA pooling from as few as two regions significantly increases mutation detection while reducing clonality misattribution. This leads to an increased fraction of patients identified with therapeutically actionable mutations, improved patient risk stratification, and improved inference of evolutionary trajectories with an accuracy comparable to <i>bona fide</i> multiregional sequencing. The same approach applied to non-small-cell lung cancer data substantially improves tumor mutational burden (TMB) detection. Our findings demonstrate that pooled DNA sequencing strategies are a cost-effective alternative to address intrinsic genetic heterogeneity in clinical settings.</p>","PeriodicalId":74040,"journal":{"name":"Kidney cancer journal : official journal of the Kidney Cancer Association","volume":"19 2","pages":"18-23"},"PeriodicalIF":0.0,"publicationDate":"2021-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8312736/pdf/nihms-1719084.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39229514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Academic Mentorship: Choosing the Right Research Mentor(s).","authors":"Nirmish Singla","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":74040,"journal":{"name":"Kidney cancer journal : official journal of the Kidney Cancer Association","volume":"18 4","pages":"114"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7808721/pdf/nihms-1659251.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38828079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alain Kaldany, Zev R Leopold, Juliana E Kim, Hiren V Patel, Arnav Srivastava, Alexandra L Tabakin, Eric A Singer
{"title":"Dissecting the role of lymphadenectomy in the management of renal cell carcinoma: past, present, and future.","authors":"Alain Kaldany, Zev R Leopold, Juliana E Kim, Hiren V Patel, Arnav Srivastava, Alexandra L Tabakin, Eric A Singer","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Lymph node involvement in renal cell carcinoma (RCC) portends a poor prognosis. However, the role of lymph node dissection (LND) at the time of tumor resection is not fully understood. Conflicting data have been published regarding the survival implications of LND during RCC surgery, and the optimal patient population for which LND might be beneficial has yet to be identified. Based on recent data characterizing the outcomes of node-positive RCC, some have advocated for revising the current staging guidelines to better reflect these findings. Given the paucity of high-quality evidence supporting or refuting the routine use of LND in RCC, further research is needed to shed light on this important topic. There are a number of ongoing clinical trials evaluating the role of perioperative (neoadjuvant and adjuvant) systemic therapy, which include patients with node-positive RCC, and will serve to guide changes in treatment practices for this patient population moving forward.</p>","PeriodicalId":74040,"journal":{"name":"Kidney cancer journal : official journal of the Kidney Cancer Association","volume":"18 4","pages":"103-108"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772661/pdf/nihms-1723267.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39852433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Harnessing Big Data with Machine Learning in Precision Oncology.","authors":"Nirmish Singla, Shyamli Singla","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>While multi-level molecular \"omic\" analyses have undoubtedly increased the sophistication and depth with which we can understand cancer biology, the challenge is to make this overwhelming wealth of data relevant to the clinician and the individual patient. Bridging this gap serves as the cornerstone of precision medicine, yet the expense and difficulty of executing and interpreting these molecular studies make it impractical to routinely implement them in the clinical setting. Herein, we propose that machine learning may hold the key to guiding the future of precision oncology accurately and efficiently. Training deep learning models to interpret the histopathologic or radiographic appearance of tumors and their microenvironment-a phenotypic microcosm of their inherent molecular biology-has the potential to output relevant diagnostic, prognostic, and therapeutic patient-level data. This type of artificial intelligence framework may effectively shape the future of precision oncology by fostering multidisciplinary collaboration.</p>","PeriodicalId":74040,"journal":{"name":"Kidney cancer journal : official journal of the Kidney Cancer Association","volume":"18 3","pages":"83-84"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644120/pdf/nihms-1640922.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38578734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}