Investigating mechanisms of resistance to immune checkpoint inhibitors (ICIs) in renal cell carcinoma (RCC).
Abstract
4545 Background: Though RCC often exhibits substantial CD8 T-cell infiltration, CD8 abundance does not predict clinical benefit from ICIs. We sought to elucidate tumor microenvironment features that uncouple CD8 presence from ICI response and to evaluate strategies to overcome resistance mechanisms. Methods: We performed single-cell RNA sequencing on 70 RCC tumors (59 clear-cell; 11 non–clear-cell), including samples obtained during systemic therapy (ICI-based therapy, n = 46; others, n = 24). Best response to ICI-based therapy was assessed according to RECIST: 18 responders (R; CR/PR) and 11 non-responders (NR; PD). Tumor-reactive TCRs were inferred using VDJdive. Non-negative matrix factorization identified gene programs associated with NR. Bulk RNA-seq data from landmark clinical trials (HCRN, JAVELIN Renal 101, CheckMate 9ER, COSMIC-313) were analyzed using Scissor (Sun et al. Nat Biotechnol 2022) to map PFS-associated bulk signals to single-cell states in our reference dataset, with summarized enrichment as an observed-to-expected (O/E) ratio. Ligand–receptor (NicheNet) and pathway analyses implicated upstream drivers. Functional validation was performed using primary human T cells cultured under normoxia or hypoxia, with or without TGFβ1. A TGFβ activation assay was used to evaluate rescue of T-cell function by the clinical-stage latent TGFβ1-selective inhibitor SRK-181. Results: We profiled 443,337 high-quality cells including 86,865 CD8 T cells. In NR tumors, a subset with high tumor-specific T-cell abundance (5/11, 45.5%) was enriched for an exhausted CD8 state with a tissue-resident memory program (Tex-rm; p < 0.01). Across multiple ICI-treated clinical trial cohorts, we identified Tex-rm cells as most associated with shorter PFS (O/E 1.34–1.82). Ligand–receptor and pathway analyses implicated enhanced TGFβ signaling in Tex-rm compared with other Tex. In vitro, hypoxia plus TGFβ1 increased a Tex-rm–like phenotype (CD69⁺CD103⁺PD-1⁺TIM-3⁺) relative to controls (p < 0.05 for each). TGFβ inhibited T-cell IFNγ production, while treatment with the TGFβ inhibitor SRK-181 restored it (p < 0.05). Conclusions: We identified a Tex-rm program associated with ICI intrinsic resistance in RCC despite high abundance of tumor-specific T cells. Functional data support a role for TGFβ signaling in promoting this dysfunctional state, suggesting that inhibiting TGFβ1 may help restore T-cell function and overcome ICI resistance in some non-responders.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (20)
Soki Kashima
David A. Braun
Rishabh Rout
Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT
Zhaochen Ye
Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT
Colin Laughlin
Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT
Nicholas R. Schindler
Ro Malik
Center of Molecular and Cellular Oncology, Yale Cancer Center, Yale School of Medicine, New Haven, CT
Maxine Sun
Dana-Farber Cancer Institute, Boston, MA
Gwo-Shu Mary Lee
Dana-Farber Cancer Institute, Boston, MA
Wenxin Xu
Department of Medical Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA
Sabina Signoretti
Michael E. Hurwitz
Department of Medical Oncology, Yale School of Medicine, New Haven, CT
Adebowale Adeniran
Yale University
Peter Humphrey
Department of Pathology, Yale School of Medicine, New Haven, CT
Patrick Aloysius Kenney
Department of Urology, Yale School of Medicine, New Haven, CT
Bradley Alexander McGregor
Lank Center for Genitourinary Oncology, Dana-Farber Cancer Institute, and Harvard Medical School, Boston, MA
Rana R. McKay
Department of Medicine, Urology, and Radiation Medicine and Applied Sciences University of California‐San Diego La Jolla California USA
Lu Gan
CAS Key Laboratory of Molecular Nanostructure and Nanotechnology and Beijing National Laboratory for Molecular Sciences
Stephen DeWall
Scholar Rock, Cambridge, MA
Toni K. Choueiri
Department of Medical Oncology Dana‐Farber Cancer Institute Boston Massachusetts USA