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The use of gene-expression profiling to better understand the clinical heterogeneity of estrogen receptor positive breast cancers and tamoxifen response.

By Sherene Loi, Martine Piccart-Gebhart and Christos Sotiriou

Abstract

In a short period of time DNA microarray technology has revolutionized our understanding of human cancer biology. This has been particularly impressive in the field of breast cancer research, where the clinical heterogeneity long observed by physicians seems to be mirrored by different molecular phenotypes exposed by microarray analysis. Gene-expression signatures have been developed to predict prognosis and treatment response and pending adequate validation, are on the verge of entry into the clinical setting. In this review article we explore how gene-expression profiling has influenced our understanding of the ER-positive breast cancers: that proliferation and cell-cycle genes seem to be the strongest predictor for metastasis and relapse in this group, and discuss the various gene predictors and molecular subtype classifications that exist that may help us individualize therapy for these women.Journal ArticleReviewinfo:eu-repo/semantics/publishe

Topics: Sciences bio-m├ędicales et agricoles, Biological Markers, Breast Neoplasms -- drug therapy, Breast Neoplasms -- genetics, Cell Cycle, Cell Proliferation, Drug Resistance, Neoplasm -- genetics, Female, Gene Expression Profiling, Humans, Prognosis, Receptors, Estrogen -- classification, Receptors, Estrogen -- genetics, Receptors, Estrogen -- metabolism, Selective Estrogen Receptor Modulators -- therapeutic use, Tamoxifen -- therapeutic use
Publisher: 'Elsevier BV'
Year: 2007
DOI identifier: 10.1016/j.critrevonc.2006.09.005
OAI identifier: oai:dipot.ulb.ac.be:2013/54559
Provided by: DI-fusion
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