JOURNAL ARTICLE

Epigenetic modifications and gene expression regulation in testosterone-mediated prostate cancer: A systematic review.

  • Published In: Journal of Cellular Biotechnology, 2026, v. 12, n. 1. P. 37 1 of 3

  • Database: Applied Science & Technology Source Ultimate 2 of 3

  • Authored By: Singh, Vinod Kumar; Haria, Jigar; Kiran, Pothu Usha; Singh Matreja, Prithpal 3 of 3

Abstract

This article systematically reviews the role of epigenetic modifications in testosterone-mediated prostate cancer, focusing on DNA methylation, histone modifications, and nucleosome remodeling as key drivers of disease progression and therapy resistance. It highlights that aberrant DNA methylation, particularly hypermethylation of tumor suppressor genes like GSTP1 and hypomethylation of proto-oncogenes, contributes to prostate carcinogenesis and genomic instability. Histone modifications, including changes in acetylation and methylation patterns, influence androgen receptor (AR) signaling and gene expression, affecting tumor growth and recurrence. Emerging therapeutic strategies targeting these epigenetic alterations—such as DNA methyltransferase (DNMT) inhibitors, histone deacetylase (HDAC) inhibitors, and bromodomain inhibitors—show promise in improving treatment outcomes, especially for advanced and castration-resistant prostate cancer. The review underscores the potential of epigenetic interventions to overcome resistance to conventional AR-targeted therapies and calls for further research to optimize these approaches.

Additional Information

  • Source:Journal of Cellular Biotechnology. 2026/02, Vol. 12, Issue 1, p37
  • Document Type:Abstract
  • Subject Area:Health and Medicine
  • Publication Date:2026
  • ISSN:23523689
  • DOI:10.1177/23523689251369281
  • Accession Number:190954216
  • Copyright Statement:Copyright of Journal of Cellular Biotechnology is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.