title: Microarrays in the 2010s: the contribution of microarray-based gene expression profiling to breast cancer classification, prognostication and prediction.
abstract: 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.
authors.affiliation: Molecular Pathology Team, Breakthrough Breast Cancer Research Centre, Institute of Cancer Research, London, UK.
authors.forename: Pierre-Emmanuel
authors.initials: PE
authors.lastname: Colombo
authors.forename: Fernanda
authors.initials: F
authors.lastname: Milanezi
authors.forename: Britta
authors.initials: B
authors.lastname: Weigelt
authors.forename: Jorge S
authors.initials: JS
authors.lastname: Reis-Filho
mesh_terms: D001943:Breast Neoplasms / Q000145:classification* / Q000235:genetics* / Q000473:pathology; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods; D016896:Treatment Outcome