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Updated: Aug 22, 2025

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

10.9K

Analysis of aberrant miRNA-mRNA interaction networks in prostate cancer to conjecture its molecular mechanisms

Shuang Peng1,1, Cheng Liu2,1, Xingchen Fan1,1

  • 1Department of Oncology, First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China.

Cancer Biomarkers : Section a of Disease Markers
|November 14, 2022
PubMed
Abstract

Insights

This study identifies two key microRNA-messenger RNA (miRNA-mRNA) pairs that can help diagnose prostate adenocarcinoma (PRAD). These negatively regulatory pairs are crucial for understanding tumor progression and developing diagnostic tools for PRAD.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are critical regulators of gene expression, influencing tumor development and progression.
  • Understanding miRNA-mRNA interactions is key to deciphering cancer mechanisms.

Purpose of the Study:

  • To identify negatively regulatory microRNA-messenger RNA (miRNA-mRNA) pairs in prostate adenocarcinoma (PRAD).
  • To establish a diagnostic model for PRAD based on these miRNA-mRNA interactions.

Main Methods:

  • Integrated analysis of The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets to identify differentially expressed miRNAs and mRNAs.
  • Screening and validation of miRNA-mRNA pairs using experimental databases (miRTarBase, TarBase) and RT-qPCR.
  • Assessment of diagnostic value using Receiver Operating Characteristic (ROC) curve and Decision Curve Analysis (DCA).

Main Results:

  • Identified 67 differentially expressed miRNAs and 351 differentially expressed mRNAs.
  • Selected two significant negatively regulatory miRNA-mRNA pairs: miR-221-3p/GALNT3 and miR-20a-5p/FRMD6.
  • These pairs showed significant associations with immune cell fractions and the tumor immune microenvironment.

Conclusions:

  • A diagnostic model incorporating two negatively regulatory miRNA-mRNA pairs was developed.
  • This model effectively distinguishes prostate adenocarcinoma from normal tissues.
  • The identified pairs offer potential as biomarkers for PRAD diagnosis.
Keywords:
PCRTCGAmiRNAmiRNA-mRNA networksprostate adenocarcinoma

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