Ng, C., Weigelt, B., Grigoriadis, A., Reis, J. S. (2012) Prognostic signatures in breast cancer: correlation does not imply causation. BREAST CANCER RESEARCH, 14 (3). ISSN 1465-5411

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Abstract

Testing the statistical associations between microarray-based gene expression signatures and patient outcome has become a popular approach to infer biological and clinical significance of laboratory observations. Venet and colleagues recently demonstrated that the majority of randomly generated gene signatures are significantly associated with outcome of breast cancer patients, and that this association stems from the fact that a large proportion of the transcriptome is significantly correlated with proliferation, a strong predictor of outcome in breast cancer patients. These findings demonstrate that a statistical association between a gene signature and disease outcome does not necessarily imply biological significance.

Item Type:	Article
Authors (ICR Faculty only):	Reis-Filho, Jorge
All Authors:	Ng, C., Weigelt, B., Grigoriadis, A., Reis, J. S.
Additional Information:	ISI Document Delivery No.: 036AI Times Cited: 0 Cited Reference Count: 14 Ng, Charlotte Weigelt, Britta Grigoriadis, Anita Reis-Filho, Jorge S. Breakthrough Breast Cancer; Cancer Research UK postdoctoral fellowship; NHS The authors' work is supported by Breakthrough Breast Cancer. BW is funded by a Cancer Research UK postdoctoral fellowship. The authors acknowledge NHS funding for the NIHR Biomedical Research Centre. Biomed central ltd London
Uncontrolled Keywords:	molecular portraits classification prediction tumors
Research teams:	Closed research groups > Molecular Pathology
Depositing User:	Alexander Smithson
Date Deposited:	18 Dec 2012 11:56
Last Modified:	24 Feb 2014 14:49
URI:	http://publications.icr.ac.uk/id/eprint/12113

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