IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v11y2020i1d10.1038_s41467-020-14381-2.html
   My bibliography  Save this article

Microscaled proteogenomic methods for precision oncology

Author

Listed:
  • Shankha Satpathy

    (Broad Institute of Harvard and Massachusetts Institute of Technology)

  • Eric J. Jaehnig

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Karsten Krug

    (Broad Institute of Harvard and Massachusetts Institute of Technology)

  • Beom-Jun Kim

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Alexander B. Saltzman

    (Baylor College of Medicine)

  • Doug W. Chan

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Kimberly R. Holloway

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Meenakshi Anurag

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Chen Huang

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Purba Singh

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Ari Gao

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Noel Namai

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Yongchao Dou

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Bo Wen

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Suhas V. Vasaikar

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • David Mutch

    (Siteman Comprehensive Cancer Center and Washington University School of Medicine)

  • Mark A. Watson

    (Siteman Comprehensive Cancer Center and Washington University School of Medicine)

  • Cynthia Ma

    (Siteman Comprehensive Cancer Center and Washington University School of Medicine)

  • Foluso O. Ademuyiwa

    (Siteman Comprehensive Cancer Center and Washington University School of Medicine)

  • Mothaffar F. Rimawi

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Rachel Schiff

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Jeremy Hoog

    (Siteman Comprehensive Cancer Center and Washington University School of Medicine)

  • Samuel Jacobs

    (NSABP Foundation)

  • Anna Malovannaya

    (Baylor College of Medicine)

  • Terry Hyslop

    (Duke University Medical Center)

  • Karl R. Clauser

    (Broad Institute of Harvard and Massachusetts Institute of Technology)

  • D. R. Mani

    (Broad Institute of Harvard and Massachusetts Institute of Technology)

  • Charles M. Perou

    (University of North Carolina at Chapel Hill)

  • George Miles

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Bing Zhang

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

  • Michael A. Gillette

    (Broad Institute of Harvard and Massachusetts Institute of Technology
    Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital)

  • Steven A. Carr

    (Broad Institute of Harvard and Massachusetts Institute of Technology)

  • Matthew J. Ellis

    (Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine)

Abstract

Cancer proteogenomics promises new insights into cancer biology and treatment efficacy by integrating genomics, transcriptomics and protein profiling including modifications by mass spectrometry (MS). A critical limitation is sample input requirements that exceed many sources of clinically important material. Here we report a proteogenomics approach for core biopsies using tissue-sparing specimen processing and microscaled proteomics. As a demonstration, we analyze core needle biopsies from ERBB2 positive breast cancers before and 48–72 h after initiating neoadjuvant trastuzumab-based chemotherapy. We show greater suppression of ERBB2 protein and both ERBB2 and mTOR target phosphosite levels in cases associated with pathological complete response, and identify potential causes of treatment resistance including the absence of ERBB2 amplification, insufficient ERBB2 activity for therapeutic sensitivity despite ERBB2 amplification, and candidate resistance mechanisms including androgen receptor signaling, mucin overexpression and an inactive immune microenvironment. The clinical utility and discovery potential of proteogenomics at biopsy-scale warrants further investigation.

Suggested Citation

  • Shankha Satpathy & Eric J. Jaehnig & Karsten Krug & Beom-Jun Kim & Alexander B. Saltzman & Doug W. Chan & Kimberly R. Holloway & Meenakshi Anurag & Chen Huang & Purba Singh & Ari Gao & Noel Namai & Yo, 2020. "Microscaled proteogenomic methods for precision oncology," Nature Communications, Nature, vol. 11(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14381-2
    DOI: 10.1038/s41467-020-14381-2
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-020-14381-2
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-020-14381-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Karama Asleh & Gian Luca Negri & Sandra E. Spencer Miko & Shane Colborne & Christopher S. Hughes & Xiu Q. Wang & Dongxia Gao & C. Blake Gilks & Stephen K. L. Chia & Torsten O. Nielsen & Gregg B. Morin, 2022. "Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes," Nature Communications, Nature, vol. 13(1), pages 1-19, December.
    2. Jennifer G. Abelin & Erik J. Bergstrom & Keith D. Rivera & Hannah B. Taylor & Susan Klaeger & Charles Xu & Eva K. Verzani & C. Jackson White & Hilina B. Woldemichael & Maya Virshup & Meagan E. Olive &, 2023. "Workflow enabling deepscale immunopeptidome, proteome, ubiquitylome, phosphoproteome, and acetylome analyses of sample-limited tissues," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    3. Sam Crowl & Ben T. Jordan & Hamza Ahmed & Cynthia X. Ma & Kristen M. Naegle, 2022. "KSTAR: An algorithm to predict patient-specific kinase activities from phosphoproteomic data," Nature Communications, Nature, vol. 13(1), pages 1-16, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:11:y:2020:i:1:d:10.1038_s41467-020-14381-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.