Radiotherapy effects on the ceRNA network in high-risk prostate cancer patients

Area of Science:

• Oncology
• Molecular Biology
• Bioinformatics

Background:

• Radiotherapy (RT) is crucial for managing prostate cancer (PCa), reducing recurrence and improving survival.
• Identifying predictive biomarkers for RT response is an active area of research.
• Competing endogenous RNA (ceRNA) networks, involving long non-coding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs), are implicated in cancer progression.

Purpose of the Study:

• To investigate the impact of RT on ceRNA networks in high-risk prostate cancer (HrPCa).
• To identify potential biomarkers for monitoring RT response in HrPCa patients.

Main Methods:

• Utilized the Gene Expression Omnibus (GEO) database for differential gene expression analysis.
• Employed TargetScan, miRanda, and LncRNA2Target databases to identify lncRNAs and miRNAs.
• Performed real-time PCR on whole blood samples from 28 HrPCa patients and 28 healthy controls before and after RT.

Main Results:

• Identified 3,452 differentially expressed genes in HrPCa patients.
• Selected three lncRNAs, seven miRNAs, and nine mRNAs as candidate biomarkers.
• Observed a significant decrease in the expression of candidate oncogenic lncRNAs, miRNAs, and oncogenes in HrPCa patients following RT.

Conclusions:

• ceRNA network analysis shows promise as a tool for monitoring RT treatment response in prostate cancer.
• Larger cohort studies are necessary to validate these findings and their clinical utility.