Expression of T-cell Exhaustion Molecules and Human Endogenous Retroviruses as Predictive Biomarkers for response to Nivolumab in Metastatic Clear Cell Renal Cell Carcinoma.

We sought to validate levels of CD8+ tumor-infiltrating cells (TIC) expressing PD-1 but not TIM-3 and LAG-3 (IF biomarker) (Pignon et al, 2019) and to investigate human endogenous retroviruses (hERVs) as predictors of response to anti-PD-1 in a randomized trial of nivolumab (nivo) versus everolimus (evero) in patients with metastatic clear cell renal cell carcinoma (mccRCC) (CheckMate-025).

Tumor tissues (nivo: n=116, evero: n=107) were analyzed by multiparametric immunofluorescence (IF) and qRT-PCR. Genomic/transcriptomic analyses were performed in a subset of samples. Clinical endpoints included objective response rate (ORR), progression-free survival (PFS), overall survival (OS), and durable response rate (DRR, defined as CR or PR with a PFS ≥ 12 months).

In the nivo (but not evero) arm, patients with high-IF biomarker density (24/116, 20.7%) had higher ORR (45.8% vs 19.6%, p=0.01) and DRR (33.3% vs 14.1%, p=0.03) and longer median PFS (9.6 vs 3.7 months, p=0.03) than low-IF biomarker patients. By RNA-seq, several inflammatory pathways (q<0.1) and immune-related gene signature scores (q<0.05) were enriched in the high-IF biomarker group. When combined with the IF biomarker, tumor cell (TC) PD-L1 expression (≥1%) further separated clinical outcomes in the nivo arm. ERVE4 expression was associated with increased DRR and longer PFS in nivo-treated patients.

High levels of CD8+ TIC expressing PD-1 but not TIM-3 and LAG-3 and ERVE4 expression predicted response to nivo (but not to evero) in mccRCC patients. Combination of the IF biomarker with TC PD-L1 improved its predictive value, confirming our previous findings.

Clinical cancer research : an official journal of the American Association for Cancer Research. 2020 Nov 20 [Epub ahead of print]

Miriam Ficial, Opeyemi A Jegede, Miriam Sant'Angelo, Yue Hou, Abdallah Flaifel, Jean-Christophe Pignon, David A Braun, Megan Wind-Rotolo, Maura Sticco-Ivins, Paul J Catalano, Gordon J Freeman, Arlene H Sharpe, F Stephen Hodi, Robert J Motzer, Catherine J Wu, Michael B Atkins, David F McDermott, Sachet A Shukla, Toni K Choueiri, Sabina Signoretti

Pathology, Harvard Medical School., Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute., Pathology, Brigham and Women's Hospital., Translational Immunogenomics Lab, Dana-Farber Cancer Institute., Department of Pathology, Brigham and Women's Hospital., Medical Oncology, Dana-Farber Cancer Institute., Translational Medicine, Bristol-Myers Squibb (United States)., Department of Data Sciences, Dana-Farber Cancer Institute., Department of Medical Oncology, Dana-Farber Cancer Institute., Immunology, Harvard Medical School., Department of Medicine, Memorial Sloan Kettering Cancer Center., Lombardi Comprehensive Cancer Center, Georgetown University Medical Center., Heme/Onc, Beth Israel Deaconess Medical Center, Harvard Medical School., Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School., Department of Pathology, Brigham and Women's Hospital .