Fig. 4

Identification of ENU-related risk model in glioma. (A) LASSO regression analysis of 71 ENU-related toxicity targets identified 11 prognostic genes in the TCGA dataset. The x-axis represents Log(λ) and the y-axis shows partial likelihood deviance with error bars indicating standard errors. The dashed lines correspond to two selected λ values. (B) Construction of the ENU-related risk model for glioma patients using the 11 identified prognostic genes. The risk score distribution, patient survival status, and a heatmap of relevant gene expressions, with the x-axis representing patients sorted by risk score into low (blue) and high (red) risk groups, while the y-axis shows survival time. (C) Kaplan-Meier survival curves showing the overall survival of glioma patients in the high-risk and low-risk groups, with the x-axis representing time in days and the y-axis showing survival probability; the hazard ratio (HR) and p-value are indicated. (D) ROC curve analysis of the risk model demonstrates the predictive performance for 1-year, 3-year, and 6-year survival, with the x-axis denoting false-positive rate (1-specificity) and the y-axis denoting true-positive rate (sensitivity). The area under the curve (AUC) values for each time point are provided, demonstrating the predictive performance of the risk score model