Research Paper Volume 14, Issue 5 pp 2383—2399
Establishing a cancer driver gene signature-based risk model for predicting the prognoses of gastric cancer patients
Figure 2. Prognostic value of the cancer driver gene (CDG) signature in The Cancer Genome Atlas (TCGA) training set. (A) Distribution of risk scores per patient. (B) Relationships between overall survival (OS) status and survival time of gastric cancer (GC) patients ranked on the basis of risk score. (C) Comparison of mortality risk between the two groups in TCGA cohort. (D) Heatmap representing the expression profiles of the seven CDGs. (E) Kaplan-Meier analysis of OS between high- and low-risk groups in TCGA set. (F) Time-dependent receiver operating characteristic (ROC) analysis for OS prediction in TCGA set. (G) Time-dependent ROC analysis for grade prediction in TCGA set of OS. (H) Time-dependent ROC analysis for stage prediction in TCGA set of OS.