| Literature DB >> 33127846 |
Meagan Montesion1, Karthikeyan Murugesan1, Dexter X Jin1, Radwa Sharaf1, Nora Sanchez1, Ameet Guria1, Max Minker1, Gerald Li1, Virginia Fisher1, Ethan S Sokol1, Dean C Pavlick1, Jay A Moore1, Alan Braly1, Gaurav Singal1, David Fabrizio1, Leah A Comment1, Naiyer A Rizvi2, Brian M Alexander1, Garrett M Frampton1, Priti S Hegde1, Lee A Albacker3.
Abstract
Neoantigen presentation arises as a result of tumor-specific mutations and is a critical component of immune surveillance that can be abrogated by somatic LOH of the human leukocyte antigen class I (HLA-I) locus. To understand the role of HLA-I LOH in oncogenesis and treatment, we utilized a pan-cancer genomic dataset of 83,644 patient samples, a small subset of which had treatment outcomes with immune checkpoint inhibitors (ICI). HLA-I LOH was common (17%) and unexpectedly had a nonlinear relationship with tumor mutational burden (TMB). HLA-I LOH was frequent at intermediate TMB, yet prevalence decreased above 30 mutations/megabase, suggesting highly mutated tumors require alternate immune evasion mechanisms. In ICI-treated patients with nonsquamous non-small cell lung cancer, HLA-I LOH was a significant negative predictor of overall survival. Survival prediction improved when combined with TMB, suggesting TMB with HLA-I LOH may better identify patients likely to benefit from ICIs. SIGNIFICANCE: This work shows the pan-cancer landscape of HLA-I LOH, revealing an unexpected "Goldilocks" relationship between HLA-I LOH and TMB, and demonstrates HLA-I LOH as a significant negative predictor of outcomes after ICI treatment. These data informed a combined predictor of outcomes after ICI and have implications for tumor vaccine development.This article is highlighted in the In This Issue feature, p. 211. ©2020 American Association for Cancer Research.Entities:
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Year: 2020 PMID: 33127846 DOI: 10.1158/2159-8290.CD-20-0672
Source DB: PubMed Journal: Cancer Discov ISSN: 2159-8274 Impact factor: 39.397