Exosomal microRNAs and other non-coding RNAs as colorectal cancer biomarkers: a review.


Journal

Mutagenesis
ISSN: 1464-3804
Titre abrégé: Mutagenesis
Pays: England
ID NLM: 8707812

Informations de publication

Date de publication:
11 07 2020
Historique:
received: 09 08 2019
accepted: 14 10 2019
pubmed: 1 12 2019
medline: 9 2 2021
entrez: 1 12 2019
Statut: ppublish

Résumé

The circulating human transcriptome, which includes both coding and non-coding RNA (ncRNA) molecules, represents a rich source of potential biomarkers for colorectal cancer (CRC) that has only recently been explored. In particular, the release of RNA-containing extracellular vesicles (EVs), in a multitude of different in vitro cell systems and in a variety of body fluids, has attracted wide interest. The role of RNA species in EVs is still not fully understood, but their capacity to act as a form of distant communication between cells and their higher abundance in association with cancer demonstrated their relevance. In this review, we report the evidence from both in vitro and human studies on microRNAs (miRNAs) and other ncRNA profiles analysed in EVs in relation to CRC as diagnostic, prognostic and predictive markers. The studies so far highlighted that, in exosomes, the most studied category of EVs, several miRNAs are able to accurately discriminate CRC cases from controls as well as to describe the progression of the disease and its prognosis. Most of the time, the in vitro findings support the miRNA profiles detected in human exosomes. The expression profiles measured in exosomes and other EVs differ and, interestingly, there is a variability of expression also among different subsets of exosomes according to their proteic profile. On the other hand, evidence is still limited for what concerns exosome miRNAs as early diagnostic and predictive markers of treatment. Several other ncRNAs that are carried by exosomes, mostly long ncRNAs and circular RNAs, seem also to be dysregulated in CRC. Besides various technical challenges, such as the standardisation of EVs isolation methods and the optimisation of methodologies to characterise the whole spectrum of RNA molecules in exosomes, further studies are needed in order to elucidate their relevance as CRC markers.

Identifiants

pubmed: 31784760
pii: 5648190
doi: 10.1093/mutage/gez038
doi:

Substances chimiques

Biomarkers, Tumor 0
MicroRNAs 0
RNA, Untranslated 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

243-260

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press on behalf of the UK Environmental Mutagen Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Antonio Francavilla (A)

Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Candiolo, Turin, Italy.

Szimonetta Turoczi (S)

Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Candiolo, Turin, Italy.

Sonia Tarallo (S)

Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Candiolo, Turin, Italy.

Pavel Vodicka (P)

Department of Molecular Biology of Cancer, Institute of Experimental Medicine, Prague, Czech Republic.

Barbara Pardini (B)

Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Candiolo, Turin, Italy.

Alessio Naccarati (A)

Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Candiolo, Turin, Italy.
Department of Molecular Biology of Cancer, Institute of Experimental Medicine, Prague, Czech Republic.

Articles similaires

[Redispensing of expensive oral anticancer medicines: a practical application].

Lisanne N van Merendonk, Kübra Akgöl, Bastiaan Nuijen
1.00
Humans Antineoplastic Agents Administration, Oral Drug Costs Counterfeit Drugs

Smoking Cessation and Incident Cardiovascular Disease.

Jun Hwan Cho, Seung Yong Shin, Hoseob Kim et al.
1.00
Humans Male Smoking Cessation Cardiovascular Diseases Female
Humans United States Aged Cross-Sectional Studies Medicare Part C
1.00
Humans Yoga Low Back Pain Female Male

Classifications MeSH