Breast cancer quantitative proteome and proteogenomic landscape

Consortia Oslo Breast Cancer Research Consortium (OSBREAC)

    Research output: Contribution to journalArticle

    21 Scopus citations

    Abstract

    In the preceding decades, molecular characterization has revolutionized breast cancer (BC) research and therapeutic approaches. Presented herein, an unbiased analysis of breast tumor proteomes, inclusive of 9995 proteins quantified across all tumors, for the first time recapitulates BC subtypes. Additionally, poor-prognosis basal-like and luminal B tumors are further subdivided by immune component infiltration, suggesting the current classification is incomplete. Proteome-based networks distinguish functional protein modules for breast tumor groups, with co-expression of EGFR and MET marking ductal carcinoma in situ regions of normal-like tumors and lending to a more accurate classification of this poorly defined subtype. Genes included within prognostic mRNA panels have significantly higher than average mRNA-protein correlations, and gene copy number alterations are dampened at the protein-level; underscoring the value of proteome quantification for prognostication and phenotypic classification. Furthermore, protein products mapping to non-coding genomic regions are identified; highlighting a potential new class of tumor-specific immunotherapeutic targets.

    Original languageEnglish (US)
    Article number1600
    JournalNature communications
    Volume10
    Issue number1
    DOIs
    StatePublished - Dec 1 2019

    ASJC Scopus subject areas

    • Chemistry(all)
    • Biochemistry, Genetics and Molecular Biology(all)
    • Physics and Astronomy(all)

    Fingerprint Dive into the research topics of 'Breast cancer quantitative proteome and proteogenomic landscape'. Together they form a unique fingerprint.

  • Cite this

    Consortia Oslo Breast Cancer Research Consortium (OSBREAC) (2019). Breast cancer quantitative proteome and proteogenomic landscape. Nature communications, 10(1), [1600]. https://doi.org/10.1038/s41467-019-09018-y