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Updated: May 10, 2026
11:29
miRNA Expression Analyses in Prostate Cancer Clinical Tissues
Published on: September 8, 2015
10.8K
Transcriptomic signatures of prostate cancer progression: a comprehensive RNA-seq study
Shristi Modanwal1, Viswajit Mulpuru2, Ashutosh Mishra1
1Department of Applied Sciences, Indian Institute of Information of Technology Allahabad, Prayagraj, Uttar Pradesh 211012 India.
3 Biotech
|April 22, 2025
Summary
This study used RNA-sequencing to find new biomarkers for prostate cancer (PCa) detection and prognosis. Key genes like BIRC5 and MKI67 show promise for improving early diagnosis and patient outcomes.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Prostate cancer (PCa) remains a significant health concern for aging men.
- Current biomarkers for PCa detection and prognosis are insufficient.
- RNA-sequencing (RNA-seq) offers high sensitivity and accuracy for transcriptomic analysis.
Purpose of the Study:
- To identify novel RNA-seq-based biomarkers for prostate cancer (PCa) detection and prognosis.
- To analyze differentially expressed genes (DEGs) in medium-risk (MR) and high-risk (HR) PCa.
- To explore gene interactions and construct predictive models for PCa.
Main Methods:
- RNA-sequencing (RNA-seq) data analysis of PCa patient samples.
- Identification and functional enrichment analysis of differentially expressed genes (DEGs).
- Construction of a Protein-Protein Interaction (PPI) network and a nomogram model.
Main Results:
- 174 DEGs were shared between MR and HR PCa samples, involved in p53 signaling, nuclear division, and inflammation.
- Key genes (KIF20A, TPX2, BUB1, BIRC5, BUB1B, MKI67) showed increased expression with PCa progression.
- BIRC5, MKI67, and KIF20A identified as potential prognostic biomarkers; NIFK and PPP1CC as therapeutic targets.
Conclusions:
- Identified DEGs and key genes offer potential for improved PCa early detection and prognosis.
- The constructed nomogram model demonstrates prognostic value for identified biomarkers.
- New therapeutic targets (NIFK, PPP1CC) were proposed for PCa treatment.
Keywords:
DEGsDiagnostic biomarkerGene ontologyNomogramPPI networkPrognostic biomarkerProstate cancerMore Related Videos
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