Abstract
Introduction: Glioma is the most common malignant tumor in the brain. Alternative splicing can lead to a malignant phenotype of glioma, which is expected to be a target for glioma treatment. Material and Methods: Expression data and alternative splicing events of glioma were downloaded from the TCGA and TCGASpliceSeq database. Cox regression was used to analyze prognosis-associated AS events. Results: Prognosis-associated alternative splicing events were identified and the prognostic model for glioma was constructed, which have good prognostic abilities for glioma. Conclusion: The identified prognosis-associated alternative splicing events may provide experimental directions and targets for the alternative splicing study of glioma. Funding: Not applicable. Declaration of Interest: The authors declare there are no conflicts of interest.
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