Immune selection determines tumor antigenicity and influences response to checkpoint inhibitors
Artikel i vetenskaplig tidskrift, 2023

In cancer, evolutionary forces select for clones that evade the immune system. Here we analyzed >10,000 primary tumors and 356 immune-checkpoint-treated metastases using immune dN/dS, the ratio of nonsynonymous to synonymous mutations in the immunopeptidome, to measure immune selection in cohorts and individuals. We classified tumors as immune edited when antigenic mutations were removed by negative selection and immune escaped when antigenicity was covered up by aberrant immune modulation. Only in immune-edited tumors was immune predation linked to CD8 T cell infiltration. Immune-escaped metastases experienced the best response to immunotherapy, whereas immune-edited patients did not benefit, suggesting a preexisting resistance mechanism. Similarly, in a longitudinal cohort, nivolumab treatment removes neoantigens exclusively in the immunopeptidome of nonimmune-edited patients, the group with the best overall survival response. Our work uses dN/dS to differentiate between immune-edited and immune-escaped tumors, measuring potential antigenicity and ultimately helping predict response to treatment.

Författare

Luis Zapata

Institute of Cancer Research

Giulio Caravagna

Universita degli Studi di Trieste

Institute of Cancer Research

Marc J. Williams

Memorial Sloan-Kettering Cancer Center

Eszter Lakatos

Queen Mary University of London

Khalid AbdulJabbar

Institute of Cancer Research

Benjamin Werner

Barts Cancer Institute

Queen Mary University of London

Diego Chowell

Icahn School of Medicine at Mount Sinai

Chela James

Fondazione Human Technopole

Institute of Cancer Research

Lucie Gourmet

University College London (UCL)

Institute of Cancer Research

Salvatore Milite

Universita degli Studi di Trieste

Fondazione Human Technopole

Ahmet Acar

Orta Doğu Teknik Üniversitesi

Nadeem Riaz

Memorial Sloan-Kettering Cancer Center

Timothy A Chan

Cleveland Clinic Foundation

Trevor A. Graham

Institute of Cancer Research

Queen Mary University of London

Andrea Sottoriva

Fondazione Human Technopole

Institute of Cancer Research

Nature Genetics

1061-4036 (ISSN) 15461718 (eISSN)

Vol. 55 451-460

Jämställdhet för excellens (Genie)

Stiftelsen Chalmers tekniska högskola, 2019-01-01 -- 2028-12-31.

Ämneskategorier (SSIF 2025)

Bioinformatik och beräkningsbiologi

Cancer och onkologi

Styrkeområden

Hälsa och teknik

DOI

10.1038/s41588-023-01313-1

Mer information

Senast uppdaterat

2025-04-03