Research Paper Volume 15, Issue 15 pp 7593—7615

Development of tryptophan metabolism patterns to predict prognosis and immunotherapeutic responses in hepatocellular carcinoma

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Figure 5. Construction of tryptophan metabolism-related genes predictive model in the training set. (A) LASSO coefficient profiles of the 42 TRPGs. A vertical line was drawn at the value chosen by 10-fold cross-validation (B) Ten-time cross-validation for tuning parameter selection in the lasso model. Kaplan-Meier survival analysis of the two risk subtypes according to the OS (C), DSS (D), DFI (E), and PFI (F) (log-rank tests, p < 0.01). ROC curves to predict the sensitivity and specificity of 1-, 3-, 5-year survival rates according to the risk score based on the OS (G), DSS (H), DFI (I), and PFI (J). LASSO, least absolute shrinkage and selection operator; OS, overall survival; DSS, disease-specific survival; DFI, disease-free interval; DFI, progression-free interval; ROC, receiver operating characteristic.