Potential responders to FOLFOX therapy for colorectal cancer by Random Forests analysis.

ABSTRACT:

Background

Molecular characterisation using gene-expression profiling will undoubtedly improve the prediction of treatment responses, and ultimately, the clinical outcome of cancer patients.

Methods

To establish the procedures to identify responders to FOLFOX therapy, 83 colorectal cancer (CRC) patients including 42 responders and 41 non-responders were divided into training (54 patients) and test (29 patients) sets. Using Random Forests (RF) algorithm in the training set, predictor genes for FOLFOX therapy were identified, which were applied to test samples and sensitivity, specificity, and out-of-bag classification accuracy were calculated.

Results

In the training set, 22 of 27 responders (81.4% sensitivity) and 23 of 27 non-responders (85.1% specificity) were corre

SUBMITTER: Tsuji S 

PROVIDER: S-EPMC3251854 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature