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Published in: Breast Cancer Research 1/2001

01-12-2002 | Paper Report

Gene expression signatures may predict clinical outcome

Author: Valerie Speirs

Published in: Breast Cancer Research | Issue 1/2001

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Excerpt

Traditional pathological classification of breast tumours is based on a panel of established markers, especially hormone receptor status, axillary lymph node status and histological grade. Unfortunately these fail to accurately predict clinical outcome in some patients. As a result, many patients go on to receive unnecessary adjuvant therapy. The aim of this work was to use gene expression signatures to predict clinical outcome in a cohort of breast tumours. …
Literature
1.
go back to reference van't Veer LJ, Dai H, van De Vijver MJ, He YD, Hart AA, Mao M, Peterse HL, van Der Kooy K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R, Friend SH: Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002, 415: 530-536.CrossRef van't Veer LJ, Dai H, van De Vijver MJ, He YD, Hart AA, Mao M, Peterse HL, van Der Kooy K, Marton MJ, Witteveen AT, Schreiber GJ, Kerkhoven RM, Roberts C, Linsley PS, Bernards R, Friend SH: Gene expression profiling predicts clinical outcome of breast cancer. Nature. 2002, 415: 530-536.CrossRef
Metadata
Title
Gene expression signatures may predict clinical outcome
Author
Valerie Speirs
Publication date
01-12-2002
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue 1/2001
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/bcr-2002-75350

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