Predicting response and survival in chemotherapy-treated triple-negative breast cancer.

ABSTRACT:

Background

In this study, we evaluated the ability of gene expression profiles to predict chemotherapy response and survival in triple-negative breast cancer (TNBC).

Methods

Gene expression and clinical-pathological data were evaluated in five independent cohorts, including three randomised clinical trials for a total of 1055 patients with TNBC, basal-like disease (BLBC) or both. Previously defined intrinsic molecular subtype and a proliferation signature were determined and tested. Each signature was tested using multivariable logistic regression models (for pCR (pathological complete response)) and Cox models (for survival). Within TNBC, interactions between each signature and the basal-like subtype (vs other subtypes) for predicting either pCR or survival were investigate

SUBMITTER: Prat A 

PROVIDER: S-EPMC4200088 | biostudies-literature | 2014 Oct

REPOSITORIES: biostudies-literature