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Updated: Dec 13, 2025

Engineering Artificial Factors to Specifically Manipulate Alternative Splicing in Human Cells
Published on: April 26, 2017
Wide-ranging analysis of survival-related alternative splicing events in invasive breast carcinoma
Keren Jia1, Yingcheng Wu1, Jing Huang2
1School of Medicine, Nantong University, Nantong, Jiangsu 226001, P.R. China.
Abstract:
Invasive breast carcinoma (BRCA) is a serious disease that threatens the survival time of those affected. Alternative splicing (AS) involved in BRCA pathogenesis may be a potential therapeutic target. However, to the best of our knowledge, a systematic analysis of survival-related alternative splicing events (SREs) has not yet been reported. The aim of the present study was to identify SREs and analyze their potential biological functions as BRCA prognostic biomarkers. An UpSet plot demonstrated AS global characteristics. Cox's proportional hazards regression model quantitatively demonstrated the prognostic relevance of AS events. Functional enrichment analysis investigated the potential pathways through which AS events affect BRCA progression. The receiver operating characteristic curve model determined the clinical significance of AS events represented using percent-spliced-in (PSI) values. The regulatory network of splicing factors (SFs) and AS events laid the foundation for studying the role of SFs in BRCA. The present study identified 1,215 SREs and their distribution characteristics, suggesting that AS events in exon skipping (ES) primarily exerted normal physiological functions, while AS events in alternative terminator sites had the most significant prognostic effect. The present study demonstrated that survival-associated genes are involved primarily in certain biological processes of ribosomal proteins. In the diagnostic model, the alternative acceptor site, alternative donor site, alternative promoter site and ES performed well. ELAVL4 was the key gene associated with prognosis and SREs. In conclusion, a number of AS events affect BRCA initiation, progression and prognosis. The PSI value of AS events has the potential to diagnose BRCA and predict a prognosis; however, this must be confirmed in additional studies.
Insights
Alternative splicing events significantly impact invasive breast carcinoma (BRCA) progression and prognosis. Specific splicing patterns, particularly in alternative terminator sites, show strong prognostic value and potential for diagnosing BRCA.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Invasive breast carcinoma (BRCA) poses a significant threat to patient survival.
- Alternative splicing (AS) plays a role in BRCA pathogenesis and presents a potential therapeutic target.
- A systematic analysis of survival-related alternative splicing events (SREs) in BRCA is lacking.
Purpose of the Study:
- To identify SREs in BRCA.
- To analyze the biological functions of SREs as prognostic biomarkers.
- To investigate the diagnostic and prognostic potential of AS events.
Main Methods:
- UpSet plots for AS global characteristics.
- Cox's proportional hazards regression for prognostic relevance.
- Functional enrichment analysis for pathway investigation.
- Receiver operating characteristic (ROC) curve analysis for clinical significance using percent-spliced-in (PSI) values.
- Splicing factor (SF) regulatory network construction.
Main Results:
- Identified 1,215 SREs in BRCA.
- Exon skipping (ES) events primarily involved in normal physiological functions.
- Alternative terminator site AS events exhibited the most significant prognostic effect.
- Survival-associated genes are mainly involved in ribosomal protein biological processes.
- Diagnostic models incorporating alternative acceptor/donor sites, alternative promoter, and ES performed well.
- ELAVL4 identified as a key gene linked to prognosis and SREs.
Conclusions:
- Numerous AS events influence BRCA initiation, progression, and prognosis.
- PSI values of AS events show potential for BRCA diagnosis and prognosis prediction.
- Further validation studies are required to confirm these findings.
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