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Pan-cancer analysis of post-translational modifications reveals shared patterns of protein regulation

  • Clinical Proteomic Tumor Analysis Consortium
  • Broad Institute
  • MGH Cancer Center and Department of Pathology
  • Cornell University
  • Washington University St. Louis
  • University of Massachusetts Boston
  • Technion-Israel Institute of Technology
  • Icahn School of Medicine at Mount Sinai
  • Brigham Young University
  • Harvard University
  • University of Michigan, Ann Arbor
  • Leidos Inc
  • National Institutes of Health
  • University of Texas MD Anderson Cancer Center

Research output: Contribution to journalArticlepeer-review

149 Scopus citations

Abstract

Post-translational modifications (PTMs) play key roles in regulating cell signaling and physiology in both normal and cancer cells. Advances in mass spectrometry enable high-throughput, accurate, and sensitive measurement of PTM levels to better understand their role, prevalence, and crosstalk. Here, we analyze the largest collection of proteogenomics data from 1,110 patients with PTM profiles across 11 cancer types (10 from the National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium [CPTAC]). Our study reveals pan-cancer patterns of changes in protein acetylation and phosphorylation involved in hallmark cancer processes. These patterns revealed subsets of tumors, from different cancer types, including those with dysregulated DNA repair driven by phosphorylation, altered metabolic regulation associated with immune response driven by acetylation, affected kinase specificity by crosstalk between acetylation and phosphorylation, and modified histone regulation. Overall, this resource highlights the rich biology governed by PTMs and exposes potential new therapeutic avenues.

Original languageEnglish
Pages (from-to)3945-3967.e26
JournalCell
Volume186
Issue number18
DOIs
StatePublished - 31 Aug 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2023 The Authors

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • CPTAC
  • DNA damage response
  • genomics
  • mass spectrometry
  • metabolism
  • pan-cancer
  • post-translational modifications
  • proteomics
  • transcriptomics

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