Through applying multiple bioinformatics analyses, we extracted and analyzed datasets from The Cancer Genome Atlas (TCGA), genotype-tissue expression (GTEx), Tumor Immune Estimation Resource (TIMER), Gene Expression Profiling Interactive Analysis (GEPIA), and the Human Protein Atlas (HPA) to explore the potential oncogenic mechanisms of TUBA1C, including correlations between TUBA1C and the prognosis, immune-checkpoints, TME and TIICs in LGG. Here, TUBA1C is linked to cancer.