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Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction

Breast cancer comprises a collection of diseases with distinctive clinical, histopathological, and molecular features. Importantly, tumors with similar histological features may display disparate clinical behaviors. Gene expression profiling using microarray technologies has improved our understandi...

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Autores principales: Colombo, Pierre-Emmanuel, Milanezi, Fernanda, Weigelt, Britta, Reis-Filho, Jorge S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218943/
https://www.ncbi.nlm.nih.gov/pubmed/21787441
http://dx.doi.org/10.1186/bcr2890
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author Colombo, Pierre-Emmanuel
Milanezi, Fernanda
Weigelt, Britta
Reis-Filho, Jorge S
author_facet Colombo, Pierre-Emmanuel
Milanezi, Fernanda
Weigelt, Britta
Reis-Filho, Jorge S
author_sort Colombo, Pierre-Emmanuel
collection PubMed
description Breast cancer comprises a collection of diseases with distinctive clinical, histopathological, and molecular features. Importantly, tumors with similar histological features may display disparate clinical behaviors. Gene expression profiling using microarray technologies has improved our understanding of breast cancer biology and has led to the development of a breast cancer molecular taxonomy and of multigene 'signatures' to predict outcome and response to systemic therapies. The use of these prognostic and predictive signatures in routine clinical decision-making remains controversial. Here, we review the clinical relevance of microarray-based profiling of breast cancer and discuss its impact on patient management.
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spelling pubmed-32189432011-12-27 Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction Colombo, Pierre-Emmanuel Milanezi, Fernanda Weigelt, Britta Reis-Filho, Jorge S Breast Cancer Res Review Breast cancer comprises a collection of diseases with distinctive clinical, histopathological, and molecular features. Importantly, tumors with similar histological features may display disparate clinical behaviors. Gene expression profiling using microarray technologies has improved our understanding of breast cancer biology and has led to the development of a breast cancer molecular taxonomy and of multigene 'signatures' to predict outcome and response to systemic therapies. The use of these prognostic and predictive signatures in routine clinical decision-making remains controversial. Here, we review the clinical relevance of microarray-based profiling of breast cancer and discuss its impact on patient management. BioMed Central 2011 2011-06-27 /pmc/articles/PMC3218943/ /pubmed/21787441 http://dx.doi.org/10.1186/bcr2890 Text en Copyright ©2011 BioMed Central Ltd
spellingShingle Review
Colombo, Pierre-Emmanuel
Milanezi, Fernanda
Weigelt, Britta
Reis-Filho, Jorge S
Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction
title Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction
title_full Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction
title_fullStr Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction
title_full_unstemmed Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction
title_short Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction
title_sort microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218943/
https://www.ncbi.nlm.nih.gov/pubmed/21787441
http://dx.doi.org/10.1186/bcr2890
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