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Updated: Sep 1, 2025

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
Published on: April 26, 2017
A widespread length-dependent splicing dysregulation in cancer
Sirui Zhang1, Miaowei Mao1, Yuesheng Lv2
1CAS Key Laboratory of Computational Biology, CAS Center for Excellence in Molecular Cell Science, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China.
Abstract:
Dysregulation of alternative splicing is a key molecular hallmark of cancer. However, the common features and underlying mechanisms remain unclear. Here, we report an intriguing length-dependent splicing regulation in cancers. By systematically analyzing the transcriptome of thousands of cancer patients, we found that short exons are more likely to be mis-spliced and preferentially excluded in cancers. Compared to other exons, cancer-associated short exons (CASEs) are more conserved and likely to encode in-frame low-complexity peptides, with functional enrichment in GTPase regulators and cell adhesion. We developed a CASE-based panel as reliable cancer stratification markers and strong predictors for survival, which is clinically useful because the detection of short exon splicing is practical. Mechanistically, mis-splicing of CASEs is regulated by elevated transcription and alteration of certain RNA binding proteins in cancers. Our findings uncover a common feature of cancer-specific splicing dysregulation with important clinical implications in cancer diagnosis and therapies.
Insights
Cancer exhibits altered splicing, particularly excluding short exons. These cancer-associated short exons (CASEs) can predict survival and offer new diagnostic and therapeutic strategies.
Area of Science:
- Molecular biology
- Genomics
- Cancer research
Background:
- Alternative splicing dysregulation is a hallmark of cancer.
- Common features and mechanisms of cancer splicing alterations are not fully understood.
Purpose of the Study:
- To investigate length-dependent splicing regulation in cancer.
- To identify common features of cancer-associated splicing events.
- To develop clinical applications based on splicing alterations.
Main Methods:
- Systematic transcriptome analysis of thousands of cancer patients.
- Identification and characterization of cancer-associated short exons (CASEs).
- Development of a CASE-based panel for cancer stratification and survival prediction.
Main Results:
- Short exons are preferentially mis-spliced and excluded in cancers.
- CASEs are conserved, encode low-complexity peptides, and are enriched in GTPase regulators and cell adhesion.
- A CASE-based panel demonstrated reliable cancer stratification and survival prediction.
- CASE mis-splicing is linked to elevated transcription and altered RNA binding proteins.
Conclusions:
- A common, length-dependent splicing dysregulation pattern exists in cancer.
- CASEs serve as potential biomarkers for cancer diagnosis, stratification, and prognosis.
- Understanding CASE regulation offers new therapeutic avenues for cancer treatment.
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