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

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

Figure 2. Identification of the genomic instability-derived lncRNA signature (GILncSig) using the training set. (A) Kaplan–Meier analysis of overall survival of patients with low or high risk according to the GILncSig score in the training set. Statistical analysis was performed using the log-rank test and univariate Cox analysis. (B) Time-dependent ROC curves analysis of the GILncSig. (C) LncRNA expression patterns with increasing GILncSig score. (D) Somatic mutations count in the high- and low-risk groups for the training set patients. The red represents the high-risk group, and the blue represents the low-risk group.