Competing endogenous RNAs (ceRNAs) and drug resistance to cancer therapy.

Alternative mRNA polyadenylation cancer immunotherapy ceRNA crosstalk immune evasion mRNA 3’untranslated region microRNA multidrug resistance non-coding RNA

Journal

Cancer drug resistance (Alhambra, Calif.)
ISSN: 2578-532X
Titre abrégé: Cancer Drug Resist
Pays: United States
ID NLM: 101738710

Informations de publication

Date de publication:
2024
Historique:
received: 24 05 2024
revised: 31 07 2024
accepted: 14 09 2024
medline: 15 10 2024
pubmed: 15 10 2024
entrez: 15 10 2024
Statut: epublish

Résumé

Competing endogenous RNAs (ceRNAs) are transcripts that possess highly similar microRNA response elements (MREs). microRNAs (miRNAs) are short, endogenous, single-stranded non-coding RNAs (ncRNAs) that can repress gene expression by binding to MREs on the 3' untranslated regions (UTRs) of the target mRNA transcripts to suppress gene expression by promoting mRNA degradation and/or inhibiting protein translation. mRNA transcripts, circular RNAs (circRNAs), long non-coding RNAs (lncRNAs), and transcribed pseudogenes could share similar MREs, and they can compete for the same pool of miRNAs. These ceRNAs may affect the level of one another by competing for their shared miRNAs. This interplay between different RNAs constitutes a ceRNA network, which regulates many important biological processes. Cancer drug resistance is a major factor leading to treatment failure in patients receiving chemotherapy. It can be acquired through genetic, epigenetic, and various tumor microenvironment mechanisms. The involvement of ceRNA crosstalk and its disruption in chemotherapy resistance is attracting attention in the cancer research community. This review presents an updated summary of the latest research on ceRNA dysregulation causing drug resistance across different cancer types and chemotherapeutic drug classes. Interestingly, accumulating evidence suggests that ceRNAs may be used as prognostic biomarkers to predict clinical response to cancer chemotherapy. Nevertheless, detailed experimental investigations of the putative ceRNA networks generated by computational algorithms are needed to support their translation for therapeutic and prognostic applications.

Identifiants

pubmed: 39403602
doi: 10.20517/cdr.2024.66
pmc: PMC11472581
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

37

Informations de copyright

© The Author(s) 2024.

Déclaration de conflit d'intérêts

To KKW and Cho WC are Editorial Board members of the journal Cancer Drug Resistance, while the other authors declared that there are no conflicts of interest.

Auteurs

Kenneth K W To (KKW)

School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.

Hang Zhang (H)

School of Pharmacy, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR 999077, China.

William C Cho (WC)

Department of Clinical Oncology, Queen Elizabeth Hospital, Hong Kong SAR 999077, China.

Classifications MeSH