Unknown

Dataset Information

GGI: a potential predictor of relapse for endocrine-treated breast cancer patients in the BIG 1-98 trial


ABSTRACT: Background: We have previously shown that the Gene expression Grade Index (GGI) was able to identify two subtypes of estrogen receptor (ER)-positive tumors that were associated with statistically distinct clinical outcomes in both untreated and tamoxifen-treated patients. Here, we aim to investigate the ability of the GGI to predict relapses in postmenopausal women who were treated with tamoxifen (T) or letrozole (L) within the BIG 1-98 trial. Methods: We generated gene expression profiles (Affymetrix) and computed the GGI for a matched, case-control sample of patients enrolled in the BIG 1-98 trial from the two hospitals where frozen samples were available. All relapses (cases) were identified from patients randomized to receive monotherapy or from the switching treatment arms for whom r

ORGANISM(S): Homo sapiens

SUBMITTER: Desmedt C 

PROVIDER: S-ECPF-GEOD-16391 | biostudies-other | 2009

REPOSITORIES: biostudies-other

Similar Datasets