To more accurately and quantitatively predict the individual survival chances of patients with glioma, we established a quantitative prognostic nomogram model based on risk scores and clinical features, and the same nine variables as COX regression were included, of which grade, X1p19q co-deletion status, and TSPAN4 expression were the first three most influential factors contributing to outcome events (Fig. 7D). Here, TSPAN4 is linked to central nervous system cancer.