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

Authors :
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
Source :
Nature Communications, Vol 13, Iss 1, Pp 1-19 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

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.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.721684907354410998201013bf23a946
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-022-28524-0