Landscape analysis of alternative splicing in kidney renal clear cell carcinoma and their clinical significance
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View abstract on PubMed
Summary
This summary is machine-generated.Alternative splicing (AS) plays a role in kidney renal clear cell carcinoma (KIRC). This study identifies AS signatures and develops a predictive model to improve KIRC patient prognosis and management.
Area Of Science
- Oncology
- Molecular Biology
- Bioinformatics
Background
- Alternative splicing (AS) is increasingly recognized for its role in cancer development, progression, and metastasis.
- A comprehensive analysis of AS signatures in kidney renal clear cell carcinoma (KIRC) is currently lacking.
- Understanding the AS landscape in KIRC is crucial for improving patient outcomes.
Purpose Of The Study
- To investigate the alternative splicing landscape in kidney renal clear cell carcinoma (KIRC).
- To identify and validate alternative splicing events and splicing factors as predictive biomarkers for KIRC prognosis.
- To develop a novel predictive model for enhancing the prognostic accuracy of KIRC.
Main Methods
- Utilized The Cancer Genome Atlas (TCGA) database for clinical data and gene expression profiles of KIRC patients.
- Analyzed seven types of alternative splicing events and identified prognostic-associated AS events using Cox regression analysis.
- Employed LASSO Cox regression to construct predictive models and the Metascape database for pathway analysis. Performed in vitro experiments to validate splicing factor roles.
Main Results
- Identified 46,276 alternative splicing events across 10,577 genes in KIRC.
- Discovered 5,864 prognostic-associated AS events and 34 prognostic-associated splicing factors (SFs).
- Developed predictive models with excellent prognostic accuracy for KIRC, validated the role of SF FMR1 in vitro.
Conclusions
- This study provides a comprehensive overview of the AS landscape in KIRC.
- Identified novel AS-based prognostic signatures to improve survival prediction for KIRC patients.
- The findings may facilitate personalized management and counseling for KIRC patients.
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