Meta-analysis of tumor and T cell intrinsic mechanisms of sensitization to checkpoint inhibition

Author:

Litchfield Kevin1,Reading James L.2,Puttick Clare1,Abbosh Chris1,Bentham Robert3,Watkins Thomas B. K.1,Rosenthal Rachel1,Biswas Dhruva1,Lim Emilia1,AL-Bakir Maise1,Turati Virginia4,Guerra-Assunção José Afonso5,Conde Lucia5,Furness Andrew J.S.6,Saini Sunil Kumar7,Hadrup Sine R7,Herrero Javier5,Rowan Andrew1,Enver Tariq4,Hellmann Matthew D.8,Larkin James8,Turajlic Samra9,Quezada Sergio2,McGranahan Nicholas3,Swanton Charles1

Affiliation:

1. Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute

2. Cancer Immunology Unit, Research department of Haematology, University College London Cancer Institute

3. Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute

4. Department of Cancer Biology, University College London Cancer Institute

5. Bill Lyons Informatics Centre, University College London Cancer Institute

6. Renal and Skin Units, The Royal Marsden Hospital

7. Department of Health Technology, Technical University of Denmark

8. Thoracic Oncology Service, Division of Solid Tumor Oncology, Department of Medicine, Memorial Sloan Kettering Cancer Center

9. Cancer Dynamics Laboratory, The Francis Crick Institute

Abstract

Abstract Checkpoint inhibitors (CPIs) augment adaptive immunity. Systematic pan-tumor analyses may reveal the relative importance of tumour cell intrinsic and microenvironmental features underpinning CPI sensitization. Here we collated whole-exome and transcriptomic data for >1000 CPI-treated patients across eight tumor-types, utilizing standardized bioinformatics-workflows and clinical outcome-criteria to validate multivariate predictors of CPI-sensitization. Clonal-TMB was the strongest predictor of CPI response, followed by TMB and CXCL9 expression. Subclonal-TMB, somatic copy alteration burden and HLA-evolutionary divergence failed to attain significance. Discovery analysis identified two additional determinants of CPI-response supported by prior functional evidence: 9q34.3 (TRAF2) loss and CCND1 amplification, both independently validated in >1600 CPI-treated patients. We find evidence for collateral sensitivity, likely mediated through selection for CDKN2A-loss, with 9q34.3 loss as a passenger event leading to CPI-sensitization. Finally, scRNA sequencing of clonal neoantigen-reactive CD8-TILs, combined with bulk RNAseq analysis of CPI responding tumors, identified CCR5 and CXCL13 as T cell-intrinsic mediators of CPI-sensitisation.

Publisher

Research Square Platform LLC

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