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 5. Calculation of RiskScore and determination of its robustness by ROC. (A) The RiskScore, survival status, survival time, and expression of oxidative stress-related prognostic genes in the TCGA dataset. (B) The ROC curve and AUC of RiskScore classification in the TCGA dataset. (C) The K-M survival curve distribution of RiskScore in the TCGA dataset. (D, E) The ROC curve and K-M survival curve of RiskScore in the CGGA cohort. Abbreviations: AUC: area under the ROC curve; CI: confidence interval; ROC: receiver operating characteristic; TCGA: The Cancer Genome Atlas; K-M: Kaplan-Meier; CGGA: Chinese Glioma Genome Atlas.