Abstract: OBJECTIVE To mining the immune pathways or genes related to the expression of hypoxia inducible factor-1α (HIF-1α) in malignant glioma, and to further analyze its influence on the prognosis of glioma. METHODS Extracted the HIF-1α gene expression profile data of glioma from the cancer genome atlas(TCGA) database, used R language to analyze the correlation between HIF-1α gene and other genes, and used GO and KEGG databases Annotate the functions of differentially expressed genes, including cell components, biological processes, molecular functions and related signal pathways. And 74 cases of human glioma tissues were collected for further verification and analysis. RESULTS A total of 169 patients with glioma were collected in the TCGA database, of which 455 genes were related to the HIF-1α gene. GO and Pathway enrichment analysis was performed on 455 related genes that met the conditions, and a total of 66 KEGG Pathway were obtained; finally, the P value of gene TNFRSF1α was found to meet the screening conditions. Further compared and analyzed the expression of TNFRSF1α in the data of 169 glioma patients and 529 non-tumor patients in the TCGA database. The results suggested that TNFRSF1α and HIF-1α were significantly higher in glioma tissues than in adjacent tissues. And the expression level of TNFRSF1α in human glioma tissue was positively correlated with the pathological grade of glioma. CONCLUSION KEGG pathway find that TNFRSF1α gene is related to hypoxia, suggesting that TNFRSF1α gene and hypoxia may affect the prognosis of patients with glioma.