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Updated: Feb 7, 2026

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
Published on: December 9, 2016
A comprehensive characterization of cis-acting splicing-associated variants in human cancer
Yuichi Shiraishi1, Keisuke Kataoka2,3, Kenichi Chiba1
1Laboratory of DNA Information Analysis, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan.
Abstract:
Although many driver mutations are thought to promote carcinogenesis via abnormal splicing, the landscape of splicing-associated variants (SAVs) remains unknown due to the complexity of splicing abnormalities. Here, we developed a statistical framework to systematically identify SAVs disrupting or newly creating splice site motifs and applied it to matched whole-exome and transcriptome sequencing data from 8976 samples across 31 cancer types, generating a catalog of 14,438 SAVs. Such a large collection of SAVs enabled us to characterize their genomic features, underlying mutational processes, and influence on cancer driver genes. In fact, ∼50% of SAVs identified were those disrupting noncanonical splice sites (non-GT-AG dinucleotides), including the third and fifth intronic bases of donor sites, or newly creating splice sites. Mutation signature analysis revealed that tobacco smoking is more strongly associated with SAVs, whereas ultraviolet exposure has less impact. SAVs showed remarkable enrichment of cancer-related genes, and as many as 14.7% of samples harbored at least one SAVs affecting them, particularly in tumor suppressors. In addition to intron retention, whose association with tumor suppressor inactivation has been previously reported, exon skipping and alternative splice site usage caused by SAVs frequently affected tumor suppressors. Finally, we described high-resolution distributions of SAVs along the gene and their splicing outcomes in commonly disrupted genes, including TP53, PIK3R1, GATA3, and CDKN2A, which offers genetic clues for understanding their functional properties. Collectively, our findings delineate a comprehensive portrait of SAVs, novel insights into transcriptional de-regulation in cancer.
Insights
Researchers identified 14,438 splicing-associated variants (SAVs) across 31 cancer types, revealing their genomic features and impact on cancer driver genes, particularly tumor suppressors. This catalog offers new insights into transcriptional dysregulation in cancer.
Area of Science:
- Genomics
- Cancer Biology
- Molecular Biology
Background:
- Splicing abnormalities are implicated in carcinogenesis, but the full spectrum of splicing-associated variants (SAVs) is not well understood.
- Identifying SAVs is challenging due to the complexity of splicing alterations.
Purpose of the Study:
- To systematically identify and catalog SAVs across diverse cancer types.
- To characterize the genomic features, mutational origins, and functional impact of SAVs on cancer driver genes.
Main Methods:
- Development of a statistical framework to detect SAVs disrupting or creating splice site motifs.
- Application of the framework to matched whole-exome and transcriptome sequencing data from 8976 cancer samples.
- Analysis of mutation signatures and SAV enrichment in cancer-related genes.
Main Results:
- A catalog of 14,438 SAVs was generated across 31 cancer types.
- Approximately 50% of SAVs affected noncanonical splice sites or created new ones.
- Tobacco smoking showed a stronger association with SAVs than ultraviolet exposure.
- SAVs were enriched in cancer-related genes, affecting 14.7% of samples, notably impacting tumor suppressors.
- Exon skipping and alternative splice site usage driven by SAVs frequently impacted tumor suppressors.
Conclusions:
- This study provides a comprehensive portrait of SAVs and their role in cancer.
- Findings offer novel insights into transcriptional dysregulation in cancer, particularly concerning tumor suppressor genes.
- The identified SAVs in genes like TP53 and CDKN2A provide genetic clues for understanding their functional roles in tumorigenesis.
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