Breast cancer quantitative proteome and proteogenomic landscape

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...

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Autores principales:	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
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2019
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/6d38d3e496e94ae593fe7bedce5833e0
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Breast cancer quantitative proteome and proteogenomic landscape

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