Figure 3.

Nomogram performance assessment. PCA on the six signatures demonstrated the gliomas and non-tumors had a distinct distribution feature (A–C). The integrated model including clinicopathological features and GDScore outperformed the single variate in differentiating GBMs and LGGs by calculating AUC values in the three sets (D–F). The calibration curves for the integrated model. The x-axis represents the nomogram-predicted probability and y-axis represents the actual probability of glioma grades (G–I). Abbreviations: IDH, isocitrate dehydrogenase, AUC, area under curve.