Background Cuproptosis is a newly discovered form of cell death. It's regulated by a string of genes. The genes are identified to influence the tumor progression, but in glioma, the cuproptosis-related genes are little studied.Method The Cancer Genome Atlas and The Genotype-Tissue Expression were used to screen for SLC31A1 gene expression in glioma and healthy tissue samples. The results were validated using the Gene Expression Omnibus and real-time quantitative PCR. The Human Protein Atlas and The National Cancer Institute's Clinical Proteomic Tumor Analysis Consortium were used to validate our results at the protein level. Multivariable analysis and Kaplan-Meier survival curves were used to examine the relationship between SLC31A1 gene expression, clinical parameters, and survival rates. The online Search Tool for the Retrieval of Interacting Genes/Proteins was used to find the genes and proteins that correlate to SLC31A1. The immune infiltration analysis was performed using the Tumor Immune Estimation Resource databases.Results The glioma patients have higher SLC31A1 expression levels, which increase as the WHO grade escalates. The survival analysis illustrates that the SLC31A1 gene expression negatively correlates with OS, PFS, and DSS. The immune infiltration analysis shows the SLC31A1 gene positively correlates with Th2 cells, Macrophages, and M2 type macrophages and negatively correlates with pDC cells, NK CD56bright cells, and CD8 T cells.Conclusion The SLC31A1 gene expression can shorten the survival time of glioma patients. It also can promote the formation of a tumor-suppressive microenvironment.