APMAdvances in Precision Medicine2424-85922424-9106WHIOCE PUBLISHING PTE. LTD.10.18063/APM.v11i2.1414ArticleCircadian Clock-Related Genes and Their Impact on Glioma Prognosis: Creation of a Risk Scoring System and Treatment Insightshttps://artdesignp.com/journal/APM/11/2/10.18063/APM.v11i2.1414GuoLingdi,LiRuiguo,MaoXingyun,HengXueyuan20261122026-02-26Glioma, a common and aggressive type of brain tumor, poses considerable difficulties in terms of prognosis and treatment. This research seeks to clarify the influence of circadian clock-related genes on glioma prognosis and to establish a reliable risk scoring system. We obtained RNA sequencing data from the TCGA-GBM and GSE15209. A total of 297 circadian clock-related genes were sourced from the MSigDB database. The DESeq2 algorithm was assigned to detect differentially expressed genes, resulting in the discovery of 16 co-expressed genes through Venn diagram analysis. A risk scoring system was developed using LASSO regression analyses, pinpointing eight crucial predictive genes. Their prognostic significance was evaluated through Kaplan-Meier survival analysis and ROC curve validation. A nomogram was created to estimate overall survival probabilities at 1, 3, and 5 years, showing strong predictive accuracy. This study offers a comprehensive framework for understanding the prognostic significance of circadian clock-associated genes in glioma and suggests potential therapeutic strategies.Glioma, Circadian rhythm, Bioinformatics, Prognosis

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