Background: In recent years, some studies have shown that TIMELESS, as an oncogene, is involved in the malignant progression of cancers. However, its relationship with the prognosis of glioma patients is rarely reported. Our purpose is to explore the role of TIMELESS in glioma. Main body: Based on 1814 glioma samples from multiple databases such as TCGA, CGGA, GEO, we use a variety of bioinformatics methods to verify the mechanism of action of TIMELESS in glioma from mRNA to protein, from appearance to mechanism analysis, from clinical features to prognosis. Then, use the CMap tool to predict potential drugs that inhibit the expression of TIMELESS. First, we found TIMELESS is highly expressed in glioma from the mRNA level to the protein level. Second, TIMELESS is an independent risk factor for prognosis and has a suitable clinical diagnosis value in glioma. It was also positively correlated with WHO grade, age, histology, and negatively correlated with IDH1 mutation and 1p19q codeletion. Third, Base excision, cell cycle, and mismatch repair pathway were activated by TIMELESS in glioma. At last, we predict small molecules that potentially inhibit TIMELESS such as 8-azaguanine, gw8510, 6-thioguanosine, and ursodeoxycholic acid. Conclusion: This study is the first comprehensive analysis of TIMELESS, revealing the relationship between the novel oncogene and the clinical characteristics of patients with glioma, and the mechanism leading to poor prognosis. It also provides a potential biomarker for the diagnosis and treatment of glioma. Our research hopes to reveal the pathological progress of glioma at the genetic level.