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Breast cancer quantitative proteome and proteogenomic landscape

Authors :
Henrik J. Johansson
Fabio Socciarelli
Nathaniel M. Vacanti
Mads H. Haugen
Yafeng Zhu
Ioannis Siavelis
Alejandro Fernandez-Woodbridge
Miriam R. Aure
Bengt Sennblad
Mattias Vesterlund
Rui M. Branca
Lukas M. Orre
Mikael Huss
Erik Fredlund
Elsa Beraki
Øystein Garred
Jorrit Boekel
Torill Sauer
Wei Zhao
Silje Nord
Elen K. Höglander
Daniel C. Jans
Hjalmar Brismar
Tonje H. Haukaas
Tone F. Bathen
Ellen Schlichting
Bjørn Naume
Consortia Oslo Breast Cancer Research Consortium (OSBREAC)
Torben Luders
Elin Borgen
Vessela N. Kristensen
Hege G. Russnes
Ole Christian Lingjærde
Gordon B. Mills
Kristine K. Sahlberg
Anne-Lise Børresen-Dale
Janne Lehtiö
Source :
Nature Communications, Vol 10, Iss 1, Pp 1-14 (2019)
Publication Year :
2019
Publisher :
Nature Portfolio, 2019.

Abstract

Gene expression profiles can classify breast cancer into five clinically relevant subtypes. Here, the authors perform an in-depth quantitative profiling of the proteome of 45 breast tumors, and show they can recapitulate the transcriptome-based classifications and identify many potentially antigenic tumour-specific peptides.

Subjects

Subjects :
Science

Details

Language :
English
ISSN :
20411723
Volume :
10
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
edsdoj.6d38d3e496e94ae593fe7bedce5833e0
Document Type :
article
Full Text :
https://doi.org/10.1038/s41467-019-09018-y