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

Breast Cancer Res. 2011 Jun 27;13(3):212. doi: 10.1186/bcr2890.


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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Breast Neoplasms / classification*
  • Breast Neoplasms / genetics*
  • Breast Neoplasms / pathology
  • Female
  • Gene Expression Profiling*
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Oligonucleotide Array Sequence Analysis / methods
  • Treatment Outcome