At 12 months, the OS rate for patients who received treatment with ipilimumab plus nivolumab was superior to SOC. The Two Onc Docs review the 5-year follow-up data on adjuvant pembro and a final analysis on ipi/nivo for metastatic disease. Dr. Machaalani highlights his study that evaluated the association between circulating KIM-1 and mRCC tumor biology. Dr. McGregor shares the opening of the STRIKE trial, which investigates adding tivo to pembro in the mRCC adjuvant setting. Dr. McGregor opens up about the expansion cohort of the phase 1 ARC-20 study, which looked at casdatifan plus cabozantinib. Dr. Chahoud talks about the results of the expansion cohort of the phase 1b STELLAR-002 study. Dr. Haas provides an update on a 5-year follow-up of KEYNOTE-564 and the survival benefits of adjuvant pembrolizumab for RCC. Dr. Braun showcases an ongoing phase 1/2 trial of the HPKI inhibitor NDI-101150 in clear cell renal cell carcinoma. Dr. Braun details an integrative analysis of the Checkmate 9ER trial that highlights both circulating and TME biomarkers. Dr. Zhang gives an update on the PDIGREE trial, including new information on tolerability and treatment response. High KIM-1 may be a biomarker of poor prognosis in RCC and correlates with specific LOF mutations, transcriptions programs. 68Ga-NY104 detected using PET/CT shows better diagnostic efficacy than 18F-FDG PET/CT in patients with mccRCC. Updated phase 3 study assesses long-term outcomes of adjuvant pembrolizumab in patients with ccRCC at risk of recurrence. Tumor microenvironment and circulating factors studied for potential links to treatment response in aRCC. Pathologic response and IHC post-treatment influx of CD8+CD39+ TILs are linked with prolonged DFS after neoadjuvant therapy. Drs. Karine Tawagi and Samantha Armstrong share their thoughts on KEYNOTE-564, NEOAVAX, and more. Drs. Wulff-Burchfield and Beckermann offer perspective on how patient-driven science is shaping QOL measurement. Drs. Wulff-Burchfield and Beckermann share how they help GU patients make informed, personalized treatment decisions. Drs. Wulff-Burchfield and Beckermann discuss how GU oncologists can build trust and deepen patient connections. Machine learning may be a useful tool in predicting renal cell carcinoma tumor response to nivolumab monotherapy.