The Proteogenomic Landscape of Curable Prostate Cancer

Cancer Cell. 2019 Mar 18;35(3):414-427.e6. doi: 10.1016/j.ccell.2019.02.005.

Abstract

DNA sequencing has identified recurrent mutations that drive the aggressiveness of prostate cancers. Surprisingly, the influence of genomic, epigenomic, and transcriptomic dysregulation on the tumor proteome remains poorly understood. We profiled the genomes, epigenomes, transcriptomes, and proteomes of 76 localized, intermediate-risk prostate cancers. We discovered that the genomic subtypes of prostate cancer converge on five proteomic subtypes, with distinct clinical trajectories. ETS fusions, the most common alteration in prostate tumors, affect different genes and pathways in the proteome and transcriptome. Globally, mRNA abundance changes explain only ∼10% of protein abundance variability. As a result, prognostic biomarkers combining genomic or epigenomic features with proteomic ones significantly outperform biomarkers comprised of a single data type.

Keywords: biomarker; epigenome; genome; multi-omic features; prostate cancer; proteome; transcriptome.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Biomarkers, Tumor / genetics
  • Biomarkers, Tumor / metabolism
  • Cell Line, Tumor
  • Epigenomics
  • Gene Expression Profiling
  • Humans
  • Male
  • Middle Aged
  • Prognosis
  • Prostatic Neoplasms / genetics
  • Prostatic Neoplasms / metabolism
  • Prostatic Neoplasms / pathology*
  • Proteogenomics / methods*
  • Proto-Oncogene Proteins c-ets / genetics*
  • Proto-Oncogene Proteins c-ets / metabolism*
  • Translocation, Genetic
  • Whole Genome Sequencing

Substances

  • Biomarkers, Tumor
  • Proto-Oncogene Proteins c-ets