Current landscape of exosomal non-coding RNAs in prostate cancer: Modulators and biomarkers.

Noncoding RNA Res

Department of Clinical Laboratory Medicine, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, 400038, PR China.

Published: December 2024

AI Article Synopsis

  • - Prostate cancer (PCa) is the most commonly diagnosed solid tumor and the second leading cause of cancer-related deaths, highlighting its significance as a cancer type.
  • - Non-coding RNAs (ncRNAs), especially those found in exosomes, play a crucial role in the disease by influencing PCa's biological behavior and stability, making them potential clinical biomarkers.
  • - The review explores the functions of exosomal ncRNAs in PCa, their applications for diagnosis and prognosis, and presents new insights into the ncRNA regulatory network associated with the disease.

Article Abstract

Prostate cancer (PCa) has the highest frequency of diagnosis among solid tumors and ranks second as the primary cause of cancer-related deaths. Non-coding RNAs (ncRNAs), such as microRNAs, long non-coding RNAs and circular RNAs, frequently exhibit dysregulation and substantially impact the biological behavior of PCa. Compared with circulating ncRNAs, ncRNAs loaded into exosomes are more stable because of protection by the lipid bilayer. Furthermore, exosomal ncRNAs facilitate the intercellular transfer of molecules and information. Increasing evidence suggests that exosomal ncRNAs hold promising potential in the progression, diagnosis and prognosis of PCa. This review aims to discuss the functions of exosomal ncRNAs in PCa, evaluate their possible applications as clinical biomarkers and therapeutic targets, and provide a comprehensive overview of the ncRNAs regulatory network in PCa. We also identified ncRNAs that can be utilized as biomarkers for diagnosis, staging, grading and prognosis assessment in PCa. This review offers researchers a fresh perspective on the functions of exosomal ncRNAs in PCa and provides additional options for its diagnosis, progression monitoring, and prognostic prediction.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11380467PMC
http://dx.doi.org/10.1016/j.ncrna.2024.07.003DOI Listing

Publication Analysis

Top Keywords

exosomal ncrnas
16
non-coding rnas
12
ncrnas
9
prostate cancer
8
pca review
8
functions exosomal
8
ncrnas pca
8
pca
7
exosomal
5
current landscape
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!