J Cancer 2019; 10(27):6792-6800. doi:10.7150/jca.35902
Multigene panel predicting survival of patients with colon cancer
1. President's Office, Zhongnan hospital of Wuhan University, Hubei province, China, 430071
2. Office of quality and safety management, Zhongnan hospital of Wuhan University, Hubei province, China, 430071
Li HD, Liang C. Multigene panel predicting survival of patients with colon cancer. J Cancer 2019; 10(27):6792-6800. doi:10.7150/jca.35902. Available from http://www.jcancer.org/v10p6792.htm
Objective: The purpose of this study was to investigate multigene panel markers to predict long-term survival in patients with colon cancer.
Methods and materials: GSE39582 was randomly divided into a training set and a validation set, while TCGA-COAD and GSE17536 were treated as two independent validation cohorts. Survival-associated genes were included in elastic net penalized Cox proportional hazards regression (ENCPH) model. Based on the results of the ENCPH, a multigene panel was constructed. We evaluated predictive performance of the multigene panel by univariate and multivariate survival analysis, and time-dependent ROC analysis.
Results: A total of 1025 colon cancer patients were included in the study, and 94 genes were showed to be related with the overall survival of colon cancer patients, of which 7 genes were integrated to construct a multigene panel according to ENCPH model. The multigene panel could stratify colon cancer patients into notably different risk groups in the training set and three verification cohort. Results of multivariable CPH model suggested that the multigene panel was an independent prognostication factor. The multigene-containing nomogram showed reliable prediction ability on the 3- and 5-year survival of colon cancer patients with internally and externally validated C-indexes exceeded 0.7.
Conclusion: The multigene panel we introduced showed considerable prognosis performance in colon cancer, and the multigene panel containing nomogram would help clinicians assess long-term survival probability.
Keywords: colon cancer, elastic net, Cox proportional hazards regression model