| Literature DB >> 32602029 |
Yu Zeng1,2, Peidong Zhang2,3, Xizhao Wang4, Ke Wang1, Mingfeng Zhou2, Hao Long2, Jie Lin2, Zhiyong Wu2, Liang Gao5, Ye Song6.
Abstract
Alternative splicing (AS) is a ubiquitous mechanism in which pre-mRNA can be spliced into divergent variants and involved in carcinogenesis and progression in several cancers. In the present study, we systematically profiled prognostic AS signatures involving both low grade glioma (LGG) and glioblastoma (GBM) and investigated the association of AS signatures with tumor grade and IDH1 status in glioma. Percent spliced in (PSI) values and corresponding clinical data were obtained from TCGA SpliceSeq and TCGA data portal, respectively. Prognostic AS signatures were identified using univariate and stepwise multivariate Cox regression. Heatmap analysis was performed based on prognostic AS signatures. A prognostic signature was established with 69 and 88 AS events, including specific splicing events of MUTYH, STEAP3, and CTNNB1, in LGG and GBM cohorts, respectively. The area under the curve (AUC) of the prediction model was 0.968 at 2000 days of overall survival (OS) in the LGG cohort and 0.966 at 450 days of OS in the GBM cohort. In addition, these prognostic AS signatures could complement current molecular classification, such as IDH1 mutation, 1p/19q codeletion, and ATRX loss, of glioma and further identify potential subgroups of glioma with the same molecular features. In conclusion, our study systematically profiled prognostic AS events involving both low grade glioma and glioblastoma for the first time, which also shed light on the crosstalk between AS signatures and molecular features of glioma.Entities:
Keywords: Alternative splicing; Glioblastoma; Grade; Low grade glioma; Molecular features; Prognostic signature
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Year: 2020 PMID: 32602029 DOI: 10.1007/s12031-020-01581-0
Source DB: PubMed Journal: J Mol Neurosci ISSN: 0895-8696 Impact factor: 3.444