Combining biological gene expression signatures in predicting outcome in breast cancer: An alternative to supervised classification.

European Journal of Cancer : Official Journal for European Organization for Research and Treatment of Cancer (EORTC) [and] European Association for Cancer Research (EACR)
Dimitry S A NuytenMarc J van de Vijver

Abstract

Gene expression profiling has been extensively used to predict outcome in breast cancer patients. We have previously reported on biological hypothesis-driven analysis of gene expression profiling data and we wished to extend this approach through the combinations of various gene signatures to improve the prediction of outcome in breast cancer. We have used gene expression data (25.000 gene probes) from a previously published study of tumours from 295 early stage breast cancer patients from the Netherlands Cancer Institute using updated follow-up. Tumours were assigned to three prognostic groups using the previously reported Wound-response and hypoxia-response signatures, and the outcome in each of these subgroups was evaluated. We have assigned invasive breast carcinomas from 295 stages I and II breast cancer patients to three groups based on gene expression profiles subdivided by the wound-response signature (WS) and hypoxia-response signature (HS). These three groups are (1) quiescent WS/non-hypoxic HS; (2) activated WS/non-hypoxic HS or quiescent WS/hypoxic tumours and (3) activated WS/hypoxic HS. The overall survival at 15 years for patients with tumours in groups 1, 2 and 3 are 79%, 59% and 27%, respectively. In multivaria...Continue Reading

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Citations

Nov 11, 2011·Science Translational Medicine·Andrew H BeckDaphne Koller
Jul 17, 2013·BMC Bioinformatics·Davide CangelosiLuigi Varesio
May 2, 2009·Journal of Mammary Gland Biology and Neoplasia·Torsten SteinBarry A Gusterson
Mar 12, 2016·Breast Cancer Research and Treatment·C Dilara Savci-HeijinkMarc J van de Vijver
Dec 6, 2016·Expert Review of Molecular Diagnostics·Hin-Fung TsangSze-Chuen Cesar Wong
Nov 18, 2010·Physiological Genomics·Nicky KonstantopoulosKen R Walder
Jan 14, 2010·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Hugo M HorlingsMarc J van de Vijver

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