Utilizing a robust bioinformatics approach, we analyze expression data from extensive cancer databases, striving to decipher the prognostic significance of SLC3A2 and its relationship with immune infiltration and metabolic pathways in glioma cells. This evidence concerns the gene SLC3A2 and glioma.