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

被引:0
作者
Pierre-Emmanuel Colombo
Fernanda Milanezi
Britta Weigelt
Jorge S Reis-Filho
机构
[1] Institute of Cancer Research,Molecular Pathology Team, Breakthrough Breast Cancer Research Centre
[2] Cancer Research UK London Research Institute,Signal Transduction Laboratory
来源
Breast Cancer Research | / 13卷
关键词
Breast Cancer; Molecular Subtype; Recurrence Score; Metaplastic Breast Carcinoma; Genomic Grade Index;
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摘要
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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