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Updated: Feb 12, 2026

miRNA Expression Analyses in Prostate Cancer Clinical Tissues
11:29

miRNA Expression Analyses in Prostate Cancer Clinical Tissues

Published on: September 8, 2015

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MicroRNA-guided gene expression in prostate cancer: Literature and database overview

Olga E Bryzgunova1, Maria Yu Konoshenko1, Pavel P Laktionov1

  • 1Institute of Chemical Biology and Fundamental Medicine, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia and 'E. Meshalkin National Medical Research Center' of the Ministry of Health of the Russian Federation, Novosibirsk, Russia.

The Journal of Gene Medicine
|March 27, 2018
PubMed

Insights

Investigating microRNAs (miRNAs) and their gene targets in prostate cancer (PCa) progression is key for discovering new therapeutic strategies. This review analyzes miRNA-gene interactions to optimize targets for PCa treatment.

Area of Science:

  • Molecular Biomedicine
  • Cancer Research
  • Genomics

Background:

  • Aberrant microRNA (miRNA) expression is crucial in cancer development, particularly prostate cancer (PCa).
  • Understanding miRNA-gene interactions is vital for identifying novel therapeutic and diagnostic targets.

Purpose of the Study:

  • To analyze existing data on miRNA effects on messenger RNA (mRNA) expression in carcinogenesis.
  • To update and optimize the selection of miRNA targets for PCa treatment.

Main Methods:

  • Review of research papers and bioinformatics databases (STRING, PANTHER, TargetScan).
  • Focus on genes involved in cell transformation, genotype maintenance, tumor invasion, and metastasis.
  • Analysis of mRNA-miRNA coexpression data.

Main Results:

  • Identified key genes and pathways regulated by miRNAs during PCa development.
  • Highlighted the role of specific miRNAs in tumor progression, invasion, and spread.
  • Emphasized the importance of bioinformatics in target discovery.

Conclusions:

  • miRNA-dependent gene expression plays a significant role in PCa progression.
  • Bioinformatics resources and integrated data analysis are essential for identifying effective PCa biomarkers and therapeutic targets.
  • Further research into miRNA-gene interactions can lead to optimized treatment strategies.
Keywords:
gene expressiononcologyprostate cancer

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