Aim: In the present study, we studied the relationship between RELN and prognosis in glioma. Materials & methods: Expression profiles and methylation data of RELN were obtained from bioinformatic datasets. Correlations between RELN and clinicopathological features and overall survival were respectively assessed using chi-square test and Kaplan-Meier analysis. Results:RELN was downregulated in glioma, and its downregulation correlated well with glioma malignancy and overall survival. Meanwhile, hypermethylation of RELN was significantly correlated with low RELN expression. Additionally, gene set enrichment analysis demonstrated that low expression of RELN correlated with many key cancer pathways, possibly highlighting the importance of RELN in carcinogenesis of brain. Conclusion:RELN may serve as a potential prognostic marker and promising target molecule for new therapy of glioma.
Keywords: bioinformatics; biomarker; glioma; malignancy; oncology; overall survival; prognosis; reelin (RELN).