International metastatic renal cell carcinoma database consortium classification and regression tree analysis to characterize objective response rates to first line in metastatic renal cell carcinoma

IntroductionTherapies for metastatic renal cell carcinoma (mRCC) have evolved significantly, making treatment decisions more complex. We used machine learning (ML) to identify subgroups of patients who have a high probability of response to first line systemic treatment.MethodsPatients from the Inte...

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Autores principales:	Martin Zarba, Dylan O’Sullivan, David Maj, Winson Y. Cheung, Lisa Ludwig, Connor Wells, Evan Ferrier, Razane El Hajj Chehade, Frede Donskov, Marc Eid, Sumanta Kumar Pal, Benoit Beuselinck, Rana R. McKay, Lori Wood, Jae Lyun Lee, Cristina Suárez, Kosuke Takemura, Ignacio Duran, Toni K. Choueiri, Daniel YC Heng
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2026-05-01
Colección:	Frontiers in Oncology
Materias:	classification and regression (decision) tree analysis IMDC immunotherapy combined therapy machine learning renal cell carcinoma
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fonc.2026.1827686/full
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