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
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Cited by:
- 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.
- 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.
- 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.
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