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 4. External validation of the cancer driver gene (CDG) signature using the gastric cancer (GC) data from the Gene Expression Omnibus (GEO) validation set. (A) Heatmap representing expression profiles of the seven CDGs. (B) Distribution of risk scores per patient. (C) Relationships between overall survival (OS) status and survival time in GC patients ranked by risk score. (D) Relationships between disease-free survival (DFS) status and survival time in GC patients ranked by risk score. (E) Comparison of OS risk between the two groups. (F) Comparison of DFS risk between the two groups. (G) Kaplan-Meier analysis of OS between high- and low-risk groups in GSE62254. (H) Kaplan-Meier analysis of DFS between high- and low-risk groups in GSE62254. (I) Time-dependent receiver operating characteristic (ROC) analysis for OS prediction in the GSE62254 cohort. (J) Time-dependent ROC analysis for DFS prediction in the GSE62254 cohort.