Fig. 2.

Construction of the ten-miRNA-based classifier. Risk score by the 10 miRNA-based classifier (left), time-dependent ROC curves (middle) and Kaplan-Meier survival (right) in the training group (n = 202) (a), internal testing group (n = 101) (b), independent validation group-1 (n = 152) (c) and independent validation group-2(n = 158) (d). Data are AUC or hazard ratio (95% CI). ROC = receiver operator characteristic. AUC = area under the curve. We used K-means to generate the optimum cutoff score for the prognostic model and patients were classified as high- and low- risk subgroups. We used AUCs at 3 and 5 years to assess prognostic accuracy, and calculated p values using the log-rank test.