4.5 Review

Approaches to First-Line Therapy for Metastatic Clear Cell Renal Cell Carcinoma

Journal

CURRENT ONCOLOGY REPORTS
Volume 24, Issue 6, Pages 695-702

Publisher

SPRINGER
DOI: 10.1007/s11912-022-01196-1

Keywords

Renal cell carcinoma; Immunotherapy; Immune checkpoint inhibitor; Immuno-oncology; IO; IO; IO; TKI; Kidney cancer; Frontline; First-line

Categories

Funding

  1. NCI [T32 CA160056]

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This review discusses the landmark trials and treatment options for metastatic clear cell renal cell carcinoma (mccRCC). Four immuno-oncology (IO)-based combinations, including IO/IO and IO/TKI, have shown overall survival benefit, but each has distinct efficacy and toxicity profiles. Factors such as patient tumor burden, performance status, and risk group influence the choice of IO-based treatment. Future studies should focus on identifying biomarkers to improve patient outcomes.
Purpose of Review Four immuno-oncology (IO)-based combinations have demonstrated overall survival benefit as frontline treatment of metastatic clear cell renal cell carcinoma (mccRCC). Choosing among the available combinations depends on treating physician's interpretation of existing data without level I evidence to inform choice of therapy. Landmark trials of mccRCC are reviewed and perspective on treatment options is provided. Recent Findings The four IO-based combinations reviewed are ipilimumab/nivolumab (IO/IO), pembrolizumab/axitinib (IO/TKI), nivolumab/cabozantinib (IO/TKI), and pembrolizumab/lenvatinib (IO/TKI). The ipilimumab/nivolumab combination is notable for durable efficacy after extended 4-year follow-up. IO/TKI combinations have clinical efficacy across all IMDC risk groups with higher response rates and longer progression-free survival (PFS) but also had higher >= grade 3 adverse events rate. Patient tumor burden, performance status, and IMDC risk group are factors in choosing an IO-based treatment. IO/IO and IO/TKI combinations for mccRCC have distinct efficacy and toxicity profiles. Future studies are needed to identify biomarkers to optimize patient outcomes.

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