Integrative clustering reveals a novel split in the luminal A subtype of breast cancer with impact on outcome

Abstract Background Breast cancer is a heterogeneous disease at the clinical and molecular level. In this study we integrate classifications extracted from five different molecular levels in order to identify integrated subtypes. Methods Tumor tissue from 425 patients with primary breast cancer from...

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Detalhes bibliográficos

Principais autores:	Miriam Ragle Aure, Valeria Vitelli, Sandra Jernström, Surendra Kumar, Marit Krohn, Eldri U. Due, Tonje Husby Haukaas, Suvi-Katri Leivonen, Hans Kristian Moen Vollan, Torben Lüders, Einar Rødland, Charles J. Vaske, Wei Zhao, Elen K. Møller, Silje Nord, Guro F. Giskeødegård, Tone Frost Bathen, Carlos Caldas, Trine Tramm, Jan Alsner, Jens Overgaard, Jürgen Geisler, Ida R. K. Bukholm, Bjørn Naume, Ellen Schlichting, Torill Sauer, Gordon B. Mills, Rolf Kåresen, Gunhild M. Mælandsmo, Ole Christian Lingjærde, Arnoldo Frigessi, Vessela N. Kristensen, Anne-Lise Børresen-Dale, Kristine K. Sahlberg, OSBREAC
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2017-03-01
coleção:	Breast Cancer Research
Assuntos:	Breast cancer Integration Luminal A Consensus clustering MicroRNA
Acesso em linha:	http://link.springer.com/article/10.1186/s13058-017-0812-y
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