Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: A consensus prognostic gene expression classifier for ER positive breast cancer. | Research Open Access A consensus prognostic gene expression classifier for ER positive breast cancer Andrew E Teschendorf Ali NaderiH Nuno L Barbosa-Morais Sarah E Pinder Ian O Ellis Sam Aparicio James D Brenton and Carlos Caldas Addresses Cancer Genomics Program Department of Oncology University of Cambridge Hutchison MRC Research Center Hills Road Cambridge CB2 2XZ UK. institute of Molecular Medicine Faculty of Medicine University of Lisbon 1649-028 Lisbon Portugal. Cancer Genomics Program Department of Pathology University of Cambridge Hutchison MRC Research Center Hills Road Cambridge CB2 2XZ UK. Histopathology Nottingham City Hospital NHS Trust and University of Nottingham Nottingham NG5 1PB UK. Molecular Oncology and Breast Cancer Program the BC Cancer Research Centre West 10th Avenue Vancouver BC V5Z 1L3 Canada. H These authors contributed equally to this work. Correspondence Andrew E Teschendorff. Email aet21@. Carlos Caldas. Email cc234@ Published 31 October 2006 Genome Biology 2006 7 R101 doi gb-2006-7- l0-rl0l The electronic version of this article is the complete one and can be found online at http 2006 7 l0 Rl0l Received 7 June 2006 Revised 27 July 2006 Accepted 31 October 2006 2006 Teschendorff et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background A consensus prognostic gene expression classifier is still elusive in heterogeneous diseases such as breast cancer. Results Here we perform a combined analysis of three major breast cancer microarray data sets to hone in on a universally valid prognostic molecular classifier in estrogen receptor ER positive tumors. Using a recently developed robust measure of prognostic separation we further validate .
