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Proteogenomics connects somatic mutations to signalling in breast cancer

Author

Listed:
  • Philipp Mertins

    (The Broad Institute of MIT and Harvard, Cambridge)

  • D. R. Mani

    (The Broad Institute of MIT and Harvard, Cambridge)

  • Kelly V. Ruggles

    (New York University Langone Medical Center)

  • Michael A. Gillette

    (The Broad Institute of MIT and Harvard, Cambridge
    Massachusetts General Hospital)

  • Karl R. Clauser

    (The Broad Institute of MIT and Harvard, Cambridge)

  • Pei Wang

    (Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai New York)

  • Xianlong Wang

    (Fred Hutchinson Cancer Research Center, Seattle)

  • Jana W. Qiao

    (The Broad Institute of MIT and Harvard, Cambridge)

  • Song Cao

    (McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine)

  • Francesca Petralia

    (Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai New York)

  • Emily Kawaler

    (New York University Langone Medical Center)

  • Filip Mundt

    (The Broad Institute of MIT and Harvard, Cambridge
    Karolinska Institute)

  • Karsten Krug

    (The Broad Institute of MIT and Harvard, Cambridge)

  • Zhidong Tu

    (Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai New York)

  • Jonathan T. Lei

    (Lester and Sue Smith Breast Center, Baylor College of Medicine)

  • Michael L. Gatza

    (Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill)

  • Matthew Wilkerson

    (Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill)

  • Charles M. Perou

    (Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill)

  • Venkata Yellapantula

    (McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine)

  • Kuan-lin Huang

    (McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine)

  • Chenwei Lin

    (Fred Hutchinson Cancer Research Center, Seattle)

  • Michael D. McLellan

    (McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine)

  • Ping Yan

    (Fred Hutchinson Cancer Research Center, Seattle)

  • Sherri R. Davies

    (Washington University School of Medicine)

  • R. Reid Townsend

    (Washington University School of Medicine)

  • Steven J. Skates

    (Biostatistics Center, Massachusetts General Hospital Cancer Center, Boston)

  • Jing Wang

    (Vanderbilt University School of Medicine)

  • Bing Zhang

    (Vanderbilt University School of Medicine)

  • Christopher R. Kinsinger

    (National Cancer Institute, National Institutes of Health)

  • Mehdi Mesri

    (National Cancer Institute, National Institutes of Health)

  • Henry Rodriguez

    (National Cancer Institute, National Institutes of Health)

  • Li Ding

    (McDonnell Genome Institute, Siteman Cancer Center, Washington University School of Medicine)

  • Amanda G. Paulovich

    (Fred Hutchinson Cancer Research Center, Seattle)

  • David Fenyö

    (New York University Langone Medical Center)

  • Matthew J. Ellis

    (Lester and Sue Smith Breast Center, Baylor College of Medicine)

  • Steven A. Carr

    (The Broad Institute of MIT and Harvard, Cambridge)

Abstract

Somatic mutations have been extensively characterized in breast cancer, but the effects of these genetic alterations on the proteomic landscape remain poorly understood. Here we describe quantitative mass-spectrometry-based proteomic and phosphoproteomic analyses of 105 genomically annotated breast cancers, of which 77 provided high-quality data. Integrated analyses provided insights into the somatic cancer genome including the consequences of chromosomal loss, such as the 5q deletion characteristic of basal-like breast cancer. Interrogation of the 5q trans-effects against the Library of Integrated Network-based Cellular Signatures, connected loss of CETN3 and SKP1 to elevated expression of epidermal growth factor receptor (EGFR), and SKP1 loss also to increased SRC tyrosine kinase. Global proteomic data confirmed a stromal-enriched group of proteins in addition to basal and luminal clusters, and pathway analysis of the phosphoproteome identified a G-protein-coupled receptor cluster that was not readily identified at the mRNA level. In addition to ERBB2, other amplicon-associated highly phosphorylated kinases were identified, including CDK12, PAK1, PTK2, RIPK2 and TLK2. We demonstrate that proteogenomic analysis of breast cancer elucidates the functional consequences of somatic mutations, narrows candidate nominations for driver genes within large deletions and amplified regions, and identifies therapeutic targets.

Suggested Citation

  • Philipp Mertins & D. R. Mani & Kelly V. Ruggles & Michael A. Gillette & Karl R. Clauser & Pei Wang & Xianlong Wang & Jana W. Qiao & Song Cao & Francesca Petralia & Emily Kawaler & Filip Mundt & Karste, 2016. "Proteogenomics connects somatic mutations to signalling in breast cancer," Nature, Nature, vol. 534(7605), pages 55-62, June.
  • Handle: RePEc:nat:nature:v:534:y:2016:i:7605:d:10.1038_nature18003
    DOI: 10.1038/nature18003
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    9. Pasquale Simeone & Stefano Tacconi & Serena Longo & Paola Lanuti & Sara Bravaccini & Francesca Pirini & Sara Ravaioli & Luciana Dini & Anna M. Giudetti, 2021. "Expanding Roles of De Novo Lipogenesis in Breast Cancer," IJERPH, MDPI, vol. 18(7), pages 1-16, March.
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    13. Ling Li & Mingming Niu & Alyssa Erickson & Jie Luo & Kincaid Rowbotham & Kai Guo & He Huang & Yuxin Li & Yi Jiang & Junguk Hur & Chunyu Liu & Junmin Peng & Xusheng Wang, 2022. "SMAP is a pipeline for sample matching in proteogenomics," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
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