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Abstract
CD8+ T cell reactivity towards tumor mutation-derived neoantigens is widely believed to facilitate the antitumor immunity induced by immune checkpoint blockade (ICB). Here we show that broadening in the number of neoantigen-reactive CD8+ T cell (NART) populations between pre-treatment to 3-weeks post-treatment distinguishes patients with controlled disease compared to patients with progressive disease in metastatic urothelial carcinoma (mUC) treated with PD-L1-blockade. The longitudinal analysis of peripheral CD8+ T cell recognition of patient-specific neopeptide libraries consisting of DNA barcode-labelled pMHC multimers in a cohort of 24 patients from the clinical trial NCT02108652 also shows that peripheral NARTs derived from patients with disease control are characterised by a PD1+ Ki67+ effector phenotype and increased CD39 levels compared to bystander bulk- and virus-antigen reactive CD8+ T cells. The study provides insights into NART characteristics following ICB and suggests that early-stage NART expansion and activation are associated with response to ICB in patients with mUC.
Immune checkpoint blockade therapy is successful in a high proportion of cancer patients, but others remain unresponsive. Authors here show that therapeutic success might be predictable in metastatic bladder cancer by longitudinal analysis of the early neoantigen-specific CD8 T cell response in peripheral blood.
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1 Experimental and Translational Immunology, Health Technology, Technical University of Denmark, Kgs. Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870)
2 Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); Weill Cornell Medical College, New York, USA (GRID:grid.5386.8) (ISNI:000000041936877X)
3 University College London Cancer Institute, Cancer Immunology Unit, Research Department of Hematology and Cancer Research UK, Lung Cancer Centre of Excellence, London, UK (GRID:grid.83440.3b) (ISNI:0000000121901201)
4 Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); Weill Cornell Medical College, New York, USA (GRID:grid.5386.8) (ISNI:000000041936877X); Parker Institute for Cancer Immunotherapy, San Francisco, USA (GRID:grid.489192.f) (ISNI:0000 0004 7782 4884)
5 Memorial Sloan Kettering Cancer Center, Department of Pathology, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952)
6 Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952)
7 Memorial Sloan Kettering Cancer Center, Department of Medicine, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952); Weill Cornell Medical College, New York, USA (GRID:grid.5386.8) (ISNI:000000041936877X); Parker Institute for Cancer Immunotherapy, San Francisco, USA (GRID:grid.489192.f) (ISNI:0000 0004 7782 4884); Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, USA (GRID:grid.51462.34) (ISNI:0000 0001 2171 9952)
8 Health Technology, Technical University of Denmark, Section of Bioinformatics, Kgs. Lyngby, Denmark (GRID:grid.5170.3) (ISNI:0000 0001 2181 8870)