Fig. 9 | Scientific Reports

Fig. 9

From: Multi-omics analysis identifies SNP-associated immune-related signatures by integrating Mendelian randomization and machine learning in hepatocellular carcinoma

Fig. 9

Comprehensive model of riskScore and patient prognosis prediction. (A) Multivariate Cox regression analysis results combining age, gender, pathological stage, TMB and riskScore. (B) TCGA liver cancer samples were divided into four groups according to TMB and riskScore, and the Kaplan–Meier survival curve showed the survival between the groups. (C) Nomogram model based on pathological stage, TMB and riskScore for prognosis evaluation of liver cancer patients. (D) Calibration curve to evaluate the accuracy and specificity of the Nomogram model in 1-year, 3-year and 5-year survival prediction. (E) The AUC values of the Nomogram model, riskScore, Stage and TMB.

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