[ Pharmaceutical Sciences Asia - ONLINE ]
E-ISSN 2586-8470
[ Journal Abbreviation: Pharm.Sci.Asia ]
Mahidol University Journal of Pharmaceutical Sciences
  FORMER NAME   "Mahidol University Journal of Pharmaceutical Sciences" Published Since 1974

 
Abstracts

DOI: 10.29090/psa.2024.03.24.AP0911Pharm Sci Asia 2024; 51(3), 233-240
 

Integrated Bioinformatics Analysis of hsa-miR-4783-3p Target Genes and Functions in Prostate Cancer

Minh Thai Nguyen, Minh Trong Quang*

- Department of Microbiology and Parasitology, Faculty of Pharmacy, University of Medicine and Pharmacy at Ho Chi Minh City, Ho Chi Minh City, Vietnam


Prostate cancer (PCa) is a significant global health challenge, necessitating a deeper understanding of its complex regulatory mechanisms. This study conducted a comprehensive examination of the involvement of hsa-miR-4783-3p in PCa using integrated bioinformatics methodologies, including target gene prediction, interaction network analysis, expression validation of identified genes, pathway annotation, and analysis of miRNA-target binding and determination of shared targets with other miRNAs. The analysis identified 66 key genes regulated by hsa-miR-4783-3p and revealed a complex regulatory network, highlighting the diverse interactions mediated by this miRNA in PCa. Notably, genes such as AKT1, ARFGAP1, ARHGDIA, HRH2, and NF2 are implicated in critical pathways associated with PCa development. Furthermore, the findings indicate potential regulatory relationships between hsa-miR-4783-3p and its target genes, as well as shared target genes with other pathogenic miRNAs, providing insights into the complex interplay among regulatory networks in PCa progression. While these findings offer a comprehensive insight into the role of hsa-miR-4783-3p in PCa, indicating new avenues for therapeutic intervention, further in-depth research and experimental validation are essential to fully understand the functional implications of these findings.


Keyword:

Prostate cancer; Hsa-miR-4783-3p; Bioinformatics analysis; Gene targeting; Regulatory networks.




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