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Oncotarget. 2015 Mar 30;6(9):6825-39.

Transcriptome-wide identification and study of cancer-specific splicing events across multiple tumors.

Author information

1
Curriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, NC 27599, USA.
2
Department of Pharmacology, University of North Carolina, Chapel Hill, NC 27599, USA.
3
Computer Science, University of North Carolina, Chapel Hill, NC 27599, USA.
4
Joint Department of Biomedical Engineering at UNC-Chapel Hill and NC State University, Chapel Hill, NC 27599, USA.

Abstract

Dysregulation of alternative splicing (AS) is one of the molecular hallmarks of cancer, with splicing alteration of numerous genes in cancer patients. However, studying splicing mis-regulation in cancer is complicated by the large noise generated from tissue-specific splicing. To obtain a global picture of cancer-specific splicing, we analyzed transcriptome sequencing data from 1149 patients in The Cancer Genome Atlas project, producing a core set of AS events significantly altered across multiple cancer types. These cancer-specific AS events are highly conserved, are more likely to maintain protein reading frame, and mainly function in cell cycle, cell adhesion/migration, and insulin signaling pathways. Furthermore, these events can serve as new molecular biomarkers to distinguish cancer from normal tissues, to separate cancer subtypes, and to predict patient survival. We also found that most genes whose expression is closely associated with cancer-specific splicing are key regulators of the cell cycle. This study uncovers a common set of cancer-specific AS events altered across multiple cancers, providing mechanistic insight into how splicing is mis-regulated in cancers.

KEYWORDS:

RNA processing; alternative splicing; cancer classification; cell cycle

PMID:
25749525
PMCID:
PMC4466652
DOI:
10.18632/oncotarget.3145
[Indexed for MEDLINE]
Free PMC Article

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