Dissecting the Tumor Microenvironment to Identify Biomarkers of Outcome to Anti-PD-1 Therapy in Clear Cell Renal Cell Carcinoma: analyses of the HCRN GU16-260 trial.
other
Where this comes from
- Record sourced from PubMed, PMID 42149133.
- Also identified by DOI 10.1158/1078-0432.CCR-26-0216.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
We investigated components of the immune tumor microenvironment as determinants of clinical outcome to anti-PD-1 therapy in patients with metastatic clear cell renal cell carcinoma (mccRCC) treated with frontline nivolumab in the phase 2, non-randomized HCRN GU16-260 trial. Pre-treatment primary ccRCCs from 72 patients were analyzed by multiplex immunofluorescence and image analysis to assess non-terminally exhausted CD8+ (CD8⁺PD-1⁺TIM3⁻LAG3⁻) tumor-infiltrating lymphocytes (TILs), PD-1+ regulatory T cells (Tregs), total and peritumoral tertiary lymphoid structures (TLS), and CD163+ tumor-associated macrophages (TAMs). Clinical endpoints included objective response rate (ORR) and progression-free survival (PFS). Densities of CD8⁺PD-1⁺TIM3⁻LAG3⁻ TILs, total and peritumoral TLS, and CD163⁺ TAMs, as continuous variables, were associated with improved ORR (Odds Ratio: 1.54 [1.10-2.16] for TILs; 1.18 [1.02-1.37] for total TLS; 1.10 [1.02-1.18] for peritumoral TLS; 2.21 [1.33-3.69] for TAMs) and longer PFS (Hazard Ratio: 0.79 [0.67-0.95] for TILs; 0.92 [0.85-0.99] for total TLS; 0.94 [0.90-0.98] for peritumoral TLS; 0.77 [0.61-0.97] for TAMs). Although % of PD-1+ Tregs as continuous variable was not associated with outcomes, at an optimal cut-off, high % of PD-1+ Tregs tended to be associated with lower ORR (12.5% vs 43.6%, p=0.093) and was associated with shorter PFS (3.4 vs 10.9 months, p<0.001). The biomarkers were not strongly correlated with each other and their integration in multi-biomarker models further stratified outcomes. Individual immune cell populations within the ccRCC microenvironment are associated with response/resistance to frontline anti-PD-1 therapy. Our findings support the development of combined immune marker models to identify patients with divergent outcomes.