Research Paper Volume 15, Issue 13 pp 6264—6291
Identification of natural killer cell-related characteristics to predict the clinical prognosis and immune microenvironment of patients with low-grade glioma
Figure 9. Determination of optimal prognostic factors by decision tree and their reliability. (A) Patients with full-scale annotations, including gender, RiskScore, age, and TNM stage, were employed to develop a survival decision tree for optimizing the risk stratification. (B) Significant differences in OS were found among the 4 risk subgroups. (C, D) Comparative analysis on different subgroups. (E, F) Univariate and multivariate Cox analyses of clinicopathological characteristics and RiskScore. (G) Nomogram model. (H) 1-, 3-, and 5-year calibration curves of the nomogram. (I) Decision curves of the nomogram. *P < 0.05; ***P < 0.001. Abbreviations: ANOVA: analysis of variance; IDH: isocitrate dehydrogenase; WT: wild-type; Mut: mutant; MGMT: O-6-methylguanine-DNA methyltransferase; CI: confidence interval; OS: overall survival; TNM: tumor-node-metastasis; Pr: predicted.