Research Paper Volume 12, Issue 17 pp 17038—17061
A novel hypoxic tumor microenvironment signature for predicting the survival, progression, immune responsiveness and chemoresistance of glioblastoma: a multi-omic study
Figure 5. Progression nomogram to predict the 0.5-, 1-, and 3-year PFS probabilities of GBM patients. (A) Nomogram model to predict the survival of GBM patients based on the TCGA training cohort. The prognostic performance of the progression nomogram demonstrated by the ROC curve for predicting the 0.5-, 1-, and 3-year PFS rates in the TCGA training cohort (B) and CGGA validation cohort (C). Calibration curves of the prognostic nomogram for predicting PFS at 0.5, 1, and 3 years in the TCGA (D–F) and CGGA (G–I) cohorts. The actual survival is plotted on the y-axis, and the nomogram-predicted probability is plotted on the x-axis.