Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes

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

doi:10.1038/s41467-022-28524-0

Nature Communications (Feb 2022)

Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes

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

Affiliations

Karama Asleh: Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, University of British Columbia
Gian Luca Negri: Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia
Sandra E. Spencer Miko: Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia
Shane Colborne: Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia
Christopher S. Hughes: Department of Molecular Oncology, BC Cancer Research Institute, University of British Columbia
Xiu Q. Wang: Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, University of British Columbia
Dongxia Gao: Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, University of British Columbia
C. Blake Gilks: Division of Anatomical Pathology, Vancouver General Hospital, University of British Columbia
Stephen K. L. Chia: Division of Medical Oncology, British Columbia Cancer Centre, University of British Columbia
Torsten O. Nielsen: Genetic Pathology Evaluation Centre, Department of Pathology and Laboratory Medicine, University of British Columbia
Gregg B. Morin: Canada’s Michael Smith Genome Sciences Centre, BC Cancer Research Institute, University of British Columbia

DOI: https://doi.org/10.1038/s41467-022-28524-0
Journal volume & issue: Vol. 13, no. 1
pp. 1 – 19

Abstract

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Protein level information enables the identification of potential biomarkers and therapeutic targets for breast cancer. Here, the authors perform proteomic analysis of 2 cohorts of breast cancer surgical specimens and identify distinct subtypes, immune features and survival outcomes.

Published in Nature Communications

ISSN: 2041-1723 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/ncomms/

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