Prediction of Response to Preoperative Chemoradiotherapy in Rectal Cancer By Gene expression Analysis

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Based on the gene expression of rectal cancer, we aimed to build a predictive model for response to chemoradiotherapy. Using 46 samples as a training set, we examined gene expression by microarray and RT-PCR. We finally selected 4 genes that were used for predictive model. The accuracy rate of prediction was 89.1% among a training set. In an independent test set of 16 samples, we validated the accuracy of a predictive model and the accuracy rate of the predictive model was 81.3%.