Risk Models and Prognostic Factors

Video

Robert Alter, MD comments on the use of prognostic models for determining risk status and informing treatment options in patients with RCC.

Recent Videos
Experts weigh in on tumor-informed testing, false positives, relevant trial data, and other key concepts related to circulating tumor DNA.
Ongoing studies in kidney cancer aim to explore determinants of immune-related adverse effects and strategies for mitigating them.
Machine learning-based approaches may play a role in further understanding of how somatic alterations influence responses or resistance to therapy.
Data from a first-in-disease trial assessing a personalized cancer vaccine in RCC require validation at a larger level, according to David Braun, MD, PhD.
Experts highlight methods for optimally treating patients with genitourinary cancers harboring variant histologies at World GU 2025.
Blood-based markers of note in kidney cancer prognosis include circulating tumor DNA and proteomic markers, according to Michael B. Atkins, MD.
Clinical trials still have a role in improving outcomes with immunotherapy among those with kidney cancer.
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