Purpose: TRAF3IP3 is involved in the maturation of immune cells, the development of immune tissues and the immune response of the body. TRAF3IP3 is shown to expressed in a variety of malignant tumor cell lines. Down-regulated expression of TRAF3IP3 in malignant melanoma can inhibit tumor growth. However, the role of TRAF3IP3 in glioma is still unknown. In this study, we aimed to study the relationship between TRAF3IP3 and glioma based on TCGA data. Method: We used the Wilcoxon rank sum test to compare the expression of TRAF3IP3 in glioma and normal tissues. Subsequently, Kruskal-Wallis test, Wilcoxon rank sum test, and logistics regression were used to evaluate the relationship between TRAF3IP3 and clinicopathological parameters of glioma patients. GSEA was used to verify the key signal pathways involved in TRAF3IP3. We used the ssGSEA method to analyze the relationship between the expression level of TRAF3IP3 and the immune in ltration in the glioma tumor microenvironment. Finally, we used Kaplan-Meier and COX regression to evaluate the prognostic value of TRAF3IP3. Results: TRAF3IP3 transcription level was highly expressed in gliomas(P<0.001). And the high expression of TRAF3IP3 and WHO grade(OR=3.57(2.42-5.34), P<0.001), IDH status (OR=4.79(3.40-6.83), P<0.001), 1P /19q codeletion (OR=0.07(0.04-0.11), P<0.001), EGFR status (OR=2.77(1.65-4.81), P<0.001), histological type (OR=3.64(2.48-5.43), P<0.001), age (OR=1.64(1.13-2.41), P=0.01), and primary therapy outcome (OR=2.29(1.47-3.61), P<0.001) were signi cantly correlated. GSEA showed that six signaling pathways were signi cantly enriched in the TRAF3IP3 high expression phenotype group, including JAK STAT signaling pathway, interferon-γ signaling pathway, apoptosis, P53 signaling pathway, PD-1 signaling pathway, and CTLA4 signaling pathway. ssGSEA showed that the expression of TRAF3IP3 was signi cantly positively correlated with the in ltration of Macrophages, Th17 cells, etc. Multivariate COX regression showed that TRAF3IP3 was an independent prognostic factor for glioma OS (HR=2.169(1.301-3.615), P=0.003). Kaplan-Meier analysis showed that high expression of TRAF3IP3 was associated with worse PFS(HR=2.39(1.39-3.01), P<0.001), DFS(HR=3.02(2.27-4.01), P<0.001) and OS(HR=2.87(2.20-3.75), P<0.001). Conclusion: TRAF3IP3 may play an important role in the occurrence and development of glioma, and may be a potential biomarker for the diagnosis and prognosis of glioma.