Genome-wide analysis reveals the association between alternative splicing and DNA methylation across human solid tumors

BMC Medical Genomics

Yimin Zhu¹  Xiaohui Sun¹  Zeyuan Sun²  Yiping Tian³  Jianming Wang⁴ 

[1] Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University;Department of Health Related Social and Behavioral Science, West China School of Public Health, Sichuan University;Department of Pathology, Zhejiang Cancer Hospital;Department of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers, the State University of New Jersey;

关键词: Alternative splicing;    DNA methylation;    Exon boundaries;    Cancers;    Association;   

DOI  :  10.1186/s12920-019-0654-9

来源: DOAJ

【 摘 要 】

Abstract Background Dysregulation of alternative splicing (AS) is a critical signature of cancer. However, the regulatory mechanisms of cancer-specific AS events, especially the impact of DNA methylation, are poorly understood. Methods By using The Cancer Genome Atlas (TCGA) SpliceSeq and TCGA data for ten solid tumor types, association analysis was performed to characterize the potential link between cancer-specific AS and DNA methylation. Functional and pathway enrichment analyses were performed, and the protein-protein interaction (PPI) network was constructed with the String website. The prognostic analysis was carried out with multivariate Cox regressions models. Results 15,818 AS events in 3955 annotated genes were identified across ten solid tumor types. The different DNA methylation patterns between tumor and normal tissues at the corresponding alternative spliced exon boundaries were shown, and 51.3% of CpG sites (CpGs) revealed hypomethylated in tumors. Notably, 607 CpGs were found to be highly correlated with 369 cancer-specific AS events after permutation tests. Among them, the hypomethylated CpGs account for 52.7%, and the number of down-regulated exons was 173. Furthermore, we found 38 AS events in 35 genes could serve as new molecular biomarkers to predict patient survival. Conclusions Our study described the relationship between DNA methylation and AS events across ten human solid tumor types and provided new insights into intragenic DNA methylation and exon usage during the AS process.

【 授权许可】

Unknown