title: Interpretation of microarray data in cancer.
abstract: Microarray studies aim at identifying homogeneous subtypes of cancer patients, searching for differentially expressed genes in tumours with different characteristics, or predicting the prognosis of patients. Using breast cancer as an example, we discuss the hypotheses underlying these studies, their power, and the validity and the clinical usefulness of the findings.
authors.affiliation: Department of Clinical and Translational Research, Biostatistics and Epidemiology Unit, Institut Gustave Roussy, Villejuif, France.
authors.forename: S
authors.initials: S
authors.lastname: Michiels
authors.forename: S
authors.initials: S
authors.lastname: Koscielny
authors.forename: C
authors.initials: C
authors.lastname: Hill
mesh_terms: D001943:Breast Neoplasms / Q000235:genetics*; D005260:Female; D020869:Gene Expression Profiling; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis; D020133:Reverse Transcriptase Polymerase Chain Reaction; D018401:Sample Size