A nineteen gene‐based risk score classifier predicts prognosis of colorectal cancer patients

Adjuvant Chemotherapy
DOI: 10.1016/j.molonc.2014.06.016 Publication Date: 2014-07-04T00:47:07Z
ABSTRACT
Colorectal cancer (CRC) patients frequently experience disease recurrence and distant metastasis. This study aimed to identify prognostic indicators, including individual responses chemotherapy, in CRC patients. RNA‐seq data was generated using 54 samples (normal colon, primary CRC, liver metastases) from 18 genes associated with aggressiveness were identified. A risk score based on these developed validated four independent patient cohorts ( n = 1063). Diverse statistical methods applied validate the scoring system, a generalized linear model likelihood ratio test, Kaplan–Meier curves, log‐rank Cox model. TREM1 CTGF identified as two activated regulators aggressiveness. 19 regulated by or activation (TCA19) significant indicator. In multivariate subset analyses pathological staging, TCA19 an factor (HR 1.894, 95% CI 1.227–2.809, P 0.002). Subset stratification stage III revealed that had potential who would benefit adjuvant regardless of age. The predictor represents novel diagnostic tool for identifying high‐risk possibly predicting response chemotherapy.
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