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Updated: Sep 29, 2025

A Syngeneic Mouse Model of Metastatic Renal Cell Carcinoma for Quantitative and Longitudinal Assessment of Preclinical Therapies
Published on: April 12, 2017
Current evidence for second-line treatment in metastatic renal cell carcinoma after progression to immune-based
Roberto Iacovelli1, Chiara Ciccarese1, Giuseppe Procopio2
1Medical Oncology Unit, Fondazione Policlinico A. Gemelli IRCCS. Largo Agostino Gemelli 8, 00168 Rome, Italy.
Abstract:
The recent approval of immune checkpoint inhibitor (ICI)-based combinations has redefined the first-line standard of care of metastatic renal cell carcinoma (mRCC) patients. Although the undisputed advantage of these combinations, most patients progressed, requiring subsequent therapies. The change of first-line therapy inevitably led to modification of the all mRCC treatment algorithm; to date, the most appropriate second-line options remain still unclear. The aim of our review was to provide a useful summary of the available evidence in order to overcome the doubts about treatment sequences. Retrospectively, the efficacy of second-line VEGFR-TKIs seems to be greater after failure of a dual ICIs combination rather than after ICIs plus VEGFR-TKIs, nevertheless prospective data of second-line TKIs are limited. Moreover, ICI re-challenge could be an option but, again, most data derived from retrospective series emphasizing the identification of predictive factors of response to select mRCC patients that could benefit from this strategy. Novel molecules and different ICI-based combinations are under evaluation with the aim of implementing the second-line setting. In particular, belzutifan, ciforadenant (CPI-444), and talazoparib achieved encouraging objective response rates (ORR) in phase I/II trials. Phase III trials comparing these new molecules with the standard of care are currently ongoing. The first-line regimen, and the type and duration of response emerged as crucial factors that could influence the efficacy of second-line therapy. Prognostic models that integrate clinical features and molecular biomarkers with a predictive value are warranted to guide clinicians in the decision-making process with the ultimate goal of offering to the patients the most effective therapy in a personalized, precision medicine-based, therapeutic strategy.
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