Research Paper Volume 13, Issue 22 pp 24621—24639

Construction of a genome instability-derived lncRNA-based risk scoring system for the prognosis of hepatocellular carcinoma

Performance examination of the GILncSig in the testing set and TCGA set. (A) Kaplan–Meier analysis of overall survival of patients with low or high risk according to the GILncSig score in the testing set (Left panel) and TCGA set (Right panel). Statistical analysis was performed using the log-rank test and univariate Cox analysis. (B) Time-dependent ROC curves analysis of the GILncSig in the testing set (Left panel) and TCGA set (Right panel). (C) LncRNA expression patterns with increasing GILncSig score in the testing set (Left panel) and TCGA set (Right panel). (D) Somatic mutations count in the high- and low-risk groups for the patients in the testing set (Left panel) and TCGA set (Right panel). The red represents the high-risk group, and the blue represents the low-risk group.

Figure 3. Performance examination of the GILncSig in the testing set and TCGA set. (A) Kaplan–Meier analysis of overall survival of patients with low or high risk according to the GILncSig score in the testing set (Left panel) and TCGA set (Right panel). Statistical analysis was performed using the log-rank test and univariate Cox analysis. (B) Time-dependent ROC curves analysis of the GILncSig in the testing set (Left panel) and TCGA set (Right panel). (C) LncRNA expression patterns with increasing GILncSig score in the testing set (Left panel) and TCGA set (Right panel). (D) Somatic mutations count in the high- and low-risk groups for the patients in the testing set (Left panel) and TCGA set (Right panel). The red represents the high-risk group, and the blue represents the low-risk group.