Figure 5.

Prognosis performance of the gene-based model. Samples in the (A) TCGA set, (B) CGGA set, (C) GSE13041, and (D and E) GSE74187 were divided by PI into a high-risk group and a low-risk group. Differences in overall survival or progression-free survival between the two groups were analyzed by Kaplan-Meier curves. P-values were produced by log-rank test. (F) ROC curves and AUC analysis. ROC curves were generated for PI-based classification for each set. TCGA, The Cancer Genome Atlas; CGGA, Chinese Glioma Genome Atlas; PI, prognosis index; ROC, receiver operating characteristic; AUC, area under the curve.