A systematic evaluation of multi-gene predictors for the pathological response of breast cancer patients to chemotherapy.

ABSTRACT: Previous studies have reported conflicting assessments of the ability of cell line-derived multi-gene predictors (MGPs) to forecast patient clinical outcomes in cancer patients, thereby warranting an investigation into their suitability for this task. Here, 42 breast cancer cell lines were evaluated by chemoresponse tests after treatment with either TFAC or FEC, two widely used standard combination chemotherapies for breast cancer. We used two different training cell line sets and two independent prediction methods, superPC and COXEN, to develop cell line-based MGPs, which were then validated in five patient cohorts treated with these chemotherapies. This evaluation yielded high prediction performances by these MGPs, regardless of the training set, chemotherapy, or prediction method. The M

SUBMITTER: Shen K 

PROVIDER: S-EPMC3504014 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature