Current evidence for second-line treatment in metastatic renal cell carcinoma after progression to immune-based combinations

医学 肾细胞癌 养生 第二线 肿瘤科 临床试验 重症监护医学 内科学 第一行
作者
Roberto Iacovelli,Chiara Ciccarese,Giuseppe Procopio,Serena Astore,Maria Antonella Cannella,Maria Grazia Maratta,Mimma Rizzo,Elena Verzoni,Camillo Porta,Giampaolo Tortora
出处
期刊:Cancer Treatment Reviews [Elsevier BV]
卷期号:105: 102379-102379 被引量:16
标识
DOI:10.1016/j.ctrv.2022.102379
摘要

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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