Independent validation of a model using cell line chemosensitivity to predict response to therapy.

ABSTRACT:

Background

Methods using cell line microarray and drug sensitivity data to predict patients' chemotherapy response are appealing, but groups may be reluctant to release details to preserve intellectual property. Here we describe a case study to validate predictions while treating the methods as a "black box."

Methods

Medical Prognosis Institute (MPI) constructed cell-line-derived sensitivity scores (SSs) and combined scores (CSs) that incorporate clinical variables. MD Anderson researchers evaluated their predictions. We searched the Gene Expression Omnibus (GEO) to identify validation datasets, and we performed statistical evaluation of the agreement between prediction and clinical observation.

Results

We identified 3 suitable datasets: GSE16446 (n = 120; binary outc

SUBMITTER: Wang W 

PROVIDER: S-EPMC3955959 | biostudies-literature | 2013 Sep

REPOSITORIES: biostudies-literature