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ABSTRACT: Introduction
Triple-negative breast cancers need to be refined in order to identify therapeutic subgroups of patients.Methods
We conducted an unsupervised analysis of microarray gene-expression profiles of 107 triple-negative breast cancer patients and undertook robust functional annotation of the molecular entities found by means of numerous approaches including immunohistochemistry and gene-expression signatures. A triple-negative external cohort (n=87) was used for validation.Results
Fuzzy clustering separated triple-negative tumours into three clusters: C1 (22.4%), C2 (44.9%) and C3 (32.7%). C1 patients were older (mean=64.6 years) than C2 (mean=56.8 years; P=0.03) and C3 patients (mean=51.9 years; P=0.0004). Histological grade and Nottingham prognostic index we
SUBMITTER: Jezequel P
PROVIDER: S-EPMC4389408 | biostudies-literature | 2015 Mar
REPOSITORIES: biostudies-literature