Proteogenomic insights into the biology and treatment of HPV-negative head and neck squamous cell carcinoma

Clinical Proteomic Tumor Analysis Consortium

Research output: Contribution to journalArticlepeer-review

163 Scopus citations

Abstract

We present a proteogenomic study of 108 human papilloma virus (HPV)-negative head and neck squamous cell carcinomas (HNSCCs). Proteomic analysis systematically catalogs HNSCC-associated proteins and phosphosites, prioritizes copy number drivers, and highlights an oncogenic role for RNA processing genes. Proteomic investigation of mutual exclusivity between FAT1 truncating mutations and 11q13.3 amplifications reveals dysregulated actin dynamics as a common functional consequence. Phosphoproteomics characterizes two modes of EGFR activation, suggesting a new strategy to stratify HNSCCs based on EGFR ligand abundance for effective treatment with inhibitory EGFR monoclonal antibodies. Widespread deletion of immune modulatory genes accounts for low immune infiltration in immune-cold tumors, whereas concordant upregulation of multiple immune checkpoint proteins may underlie resistance to anti-programmed cell death protein 1 monotherapy in immune-hot tumors. Multi-omic analysis identifies three molecular subtypes with high potential for treatment with CDK inhibitors, anti-EGFR antibody therapy, and immunotherapy, respectively. Altogether, proteogenomics provides a systematic framework to inform HNSCC biology and treatment. Huang et al. report a proteogenomic study on 108 HPV-negative head and neck squamous cell carcinomas (HNSCCs). In addition to creating a comprehensive resource for pathogenic insights, multi-omic analysis identifies therapeutic hypotheses that may inform more precise approaches to treatment.

Original languageEnglish (US)
Pages (from-to)361-379.e16
JournalCancer Cell
Volume39
Issue number3
DOIs
StatePublished - Mar 8 2021

Keywords

  • CDK inhibitor
  • CPTAC
  • EGFR mAb
  • HNSCC
  • combination immune checkpoint blockade
  • immune evasion
  • immunotherapy
  • predictive biomarker
  • proteogenomics
  • proteomics

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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