title: Taking gene-expression profiling to the clinic: when will molecular signatures become relevant to patient care?
abstract: The advent of microarray technology has enabled scientists to simultaneously investigate the expression of thousands of genes. Gene-expression profiling studies have provided a molecular classification of breast cancer into clinically relevant subtypes, new tools to predict disease recurrence and response to different treatments, and new insights into various oncogenic pathways and the process of metastatic progression. Here we describe the state of the art of gene-expression studies in breast cancer, and consider both their current limitations and future promises. We also discuss the potential of molecular signatures to have an impact on individual breast cancer patient management, and ultimately to accelerate the transition between empirical and tailored medicine.
authors.affiliation: Translational Research Unit, Jules Bordet Institute, 121 Boulevard de Waterloo, 1000 Brussels, Belgium.
authors.forename: Christos
authors.initials: C
authors.lastname: Sotiriou
authors.forename: Martine J
authors.initials: MJ
authors.lastname: Piccart
mesh_terms: D000465:Algorithms; D001943:Breast Neoplasms / Q000145:classification / Q000235:genetics; D003663:Decision Trees; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D009369:Neoplasms / Q000235:genetics* / Q000628:therapy*; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis