Breast Cancer Research

official impact factor 5.79

Open Access

Intrinsic molecular signature of breast cancer in a population-based cohort of 412 patients

Stefano Calza, Per Hall, Gert Auer, Judith Bjöhle, Sigrid Klaar, Ulrike Kronenwett, Edison T Liu, Lance Miller, Alexander Ploner, Johanna Smeds, Jonas Bergh* and Yudi Pawitan*

Breast Cancer Research 2006, 8:R34 doi:10.1186/bcr1517

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Research article   Open Access

Expression signatures of TP53 mutations in serous ovarian cancers

Marcus Q Bernardini, Tsukasa Baba, Paula S Lee, Jason C Barnett, Gregory P Sfakianos, Angeles Secord, Susan K Murphy, Edwin Iversen, Jeffrey R Marks, Andrew Berchuck BMC Cancer 2010, 10:237 (26 May 2010)

Method   Open Access

A fuzzy gene expression-based computational approach improves breast cancer prognostication

Benjamin Haibe-Kains, Christine Desmedt, Françoise Rothé, Martine Piccart, Christos Sotiriou, Gianluca Bontempi Genome Biology 2010, 11:R18 (15 February 2010)

A fuzzy computational approach that takes into account several molecular subtypes in order to provide more accurate breast cancer prognosis

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Identification of biology-based breast cancer types with distinct predictive and prognostic features: role of steroid hormone and HER2 receptor expression in patients treated with neoadjuvant anthracycline/taxane-based chemotherapy

Silvia Darb-Esfahani, Sibylle Loibl, Berit M Müller, Marc Roller, Carsten Denkert, Martina Komor, Karsten Schlüns, Jens Uwe Blohmer, Jan Budczies, Bernd Gerber, Aurelia Noske, Andreas du Bois, Wilko Weichert, Christian Jackisch, Manfred Dietel, Klaus Richter, Manfred Kaufmann, Gunter von Minckwitz Breast Cancer Research 2009, 11:R69 (16 September 2009)

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A compact VEGF signature associated with distant metastases and poor outcomes

Zhiyuan Hu, Cheng Fan, Chad Livasy, Xiaping He, Daniel S Oh, Matthew G Ewend, Lisa A Carey, Subbaya Subramanian, Robert West, Francis Ikpatt, Olufunmilayo I Olopade, Matt van de Rijn, Charles M Perou BMC Medicine 2009, 7:9 (16 March 2009)

Expression of the 13-gene VEGF (vascular endothelial growth factor) profile occurs in distant cancer metastases and is predictive of poor outcome, but may help to target anti-angiogenesis therapies.

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Gene expression meta-analysis identifies metastatic pathways and transcription factors in breast cancer

Mads Thomassen, Qihua Tan, Torben A Kruse BMC Cancer 2008, 8:394 (30 December 2008)

Research article   Open Access

The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets – improving meta-analysis and prediction of prognosis

Andrew H Sims, Graeme J Smethurst, Yvonne Hey, Michal J Okoniewski, Stuart D Pepper, Anthony Howell, Crispin J Miller, Robert B Clarke BMC Medical Genomics 2008, 1:42 (21 September 2008)

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Meta-analysis of gene expression profiles in breast cancer: toward a unified understanding of breast cancer subtyping and prognosis signatures

Pratyaksha Wirapati, Christos Sotiriou, Susanne Kunkel, Pierre Farmer, Sylvain Pradervand, Benjamin Haibe-Kains, Christine Desmedt, Michail Ignatiadis, Thierry Sengstag, Frédéric Schütz, Darlene R Goldstein, Martine Piccart, Mauro Delorenzi Breast Cancer Research 2008, 10:R65 (28 July 2008)

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Are triple-negative tumours and basal-like breast cancer synonymous?

Emad A Rakha, David SP Tan, William D Foulkes, Ian O Ellis, Andrew Tutt, Torsten O Nielsen, Jorge S Reis-Filho Breast Cancer Research 2007, 9:404 (30 November 2007)