“…Additionally, the GS score is significantly associated with prognosis in other cancer types, including liver hepatocellular carcinoma (LIHC), acute myeloid leukemia (LAML), prostate adenocarcinoma (PAAD), uveal melanoma (UVM), glioblastoma multiforme (GBM), and uterine carcinosarcoma (UCS) (Supplementary Figure 4J), suggesting that it may be a useful prognosis tool for a variety of cancers. Compared to existing LGG prognostic models [39][40][41][42], the GS model exhibited superior predictive performance, as evidenced by higher-index values (Figure 3J). The GS model also outperformed established clinical prognostic factors, including neoplasm grade, IDH1 mutation status, and MGMT promoter methylation, as indicated by higher area-under-the-curve (AUC) values in ROC curves (Figure 3K).…”