[Retracted] Characterization of Tumor Mutation Burden-Based Gene Signature and Molecular Subtypes to Assist Precision Treatment in Gastric Cancer

Figure 5

The LASSO model accurately predicts gastric cancer recurrence in TCGA cohort. (a) Risk score distribution. (b) Survival status distribution. Red: recurred or dead status and green: disease free status. (c) DFS probabilities for high- and low-risk groups. value was assessed via log-rank test. (d) Heatmap for expression profiling of 4 genes. (e) ROC of DFS in TCGA cohort. (f) Multivariate analysis for assessing the independence of risk score in predicting OS and DFS. HR: hazard ratio; CI: confidence interval.

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