Determinants of gastric cancer immune escape identified from non-coding immune-landscape quantitative trait loci

Nat Commun. 2024 May 21;15(1):4319. doi: 10.1038/s41467-024-48436-5.

Abstract

The landscape of non-coding mutations in cancer progression and immune evasion is largely unexplored. Here, we identify transcrptome-wide somatic and germline 3' untranslated region (3'-UTR) variants from 375 gastric cancer patients from The Cancer Genome Atlas. By performing gene expression quantitative trait loci (eQTL) and immune landscape QTL (ilQTL) analysis, we discover 3'-UTR variants with cis effects on expression and immune landscape phenotypes, such as immune cell infiltration and T cell receptor diversity. Using a massively parallel reporter assay, we distinguish between causal and correlative effects of 3'-UTR eQTLs in immune-related genes. Our approach identifies numerous 3'-UTR eQTLs and ilQTLs, providing a unique resource for the identification of immunotherapeutic targets and biomarkers. A prioritized ilQTL variant signature predicts response to immunotherapy better than standard-of-care PD-L1 expression in independent patient cohorts, showcasing the untapped potential of non-coding mutations in cancer.

MeSH terms

  • 3' Untranslated Regions* / genetics
  • B7-H1 Antigen / genetics
  • B7-H1 Antigen / metabolism
  • Female
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Immunotherapy / methods
  • Male
  • Mutation
  • Quantitative Trait Loci*
  • Stomach Neoplasms* / genetics
  • Stomach Neoplasms* / immunology
  • Tumor Escape* / genetics

Substances

  • CD274 protein, human