Background: Glioma is a neurological tumor with a high degree of malignancy and a poor survival prognosis. The development of bioinformatics-related databases has helped us to further analyze the correlation between genes and tumors. In previous studies, through GSVA enrichment analysis, we obtained 17 core genes (TOP2A, KIF20A, CCNB2, AURKA, KIF11, CDK1, BUB1B, CCNA2, BUB1, CDC20, CDCA8, TPX2, KIF2C, POLA2, POLE2, POLA1 and POLE) that affect the survival prognosis of patients, and since TOP2A order is the highest we found that TOP2A is associated with the clinical features of brain gliomas through a series of bioinformatics databases and statistical analyses. After undergoing bioinformatics analysis, in this study, we further explore the correlation between TOP2A and the clinical samples of real-world glioma patients, so as to analyze the relationship between TOP2A expression and the survival prognosis of patients. It is worth mentioning that only malignant gliomas were designed in this study, and benign gliomas were not included in the scope of this study. Materials and methods: Downloaded glioma data from TCGA database. COX regression analysis assessed clinical relevance. Experimental verification by immunohistochemistry. GSEA analyzes relevant biological functions. Results: Focused on the correlation between TOP2A and glioma, and transported 161 glioma tissue wax blocks from the First Affiliated Hospital of Anhui Medical University, analyzed the correlation between gene expression and clinical data in the real world, and confirmed that it was closely related to the survival prognosis of glioma patients. Conclusions: Through bioinformatics analysis and immunohistochemical experiments combined with real-world patient data, it was confirmed that TOP2A expression was closely related to patient prognosis.