Figure 5
Construction and validation of the SNP model. (A) Distributions of various mutation types of the sixteen high-frequency SNPs. The histogram at the top indicates the sum of non-synonymous and synonymous mutations in every case. The histogram on the right stands for the sample number suffering from a gene mutation. The different colors stand for various mutation types in the heatmap, whereas the white represents no mutation. (B) The evaluation of the SNP model via the ROC curve and C-index in the TCGA training set. (C) Kaplan–Meier survival analysis of the different risk groups stratified with the SNP risk score in the TCGA training set. Patients with no mutation of the seven key SNPs were attributed to the low-risk group, and the others were attributed to the high-risk group. (D) The verification of the SNP model via the ROC curve and C-index in the TCGA test set. (E) The validation of the SNP model with Kaplan–Meier survival analysis in the TCGA test set. (F) The external validation of the SNP model with Kaplan–Meier survival analysis in the LICA-FR dataset. HCC hepatocellular carcinoma, TCGA The Genome Cancer Atlas; C-index, Harrell’s concordance index, ROC receiver operating characteristic, AUC area under the curve, SNP single nucleotide polymorphism.
