RNA-binding protein transcripts as potential biomarkers for detecting Primary Sclerosing Cholangitis and for predicting its progression to Cholangiocarcinoma.

Primary Sclerosing Cholangitis RNA-binding proteins bioinformatics biomarkers cholangiocarcinoma data mining extracellular vesicles

Journal

Frontiers in molecular biosciences
ISSN: 2296-889X
Titre abrégé: Front Mol Biosci
Pays: Switzerland
ID NLM: 101653173

Informations de publication

Date de publication:
2024
Historique:
received: 19 02 2024
accepted: 13 05 2024
medline: 21 6 2024
pubmed: 21 6 2024
entrez: 21 6 2024
Statut: epublish

Résumé

Primary Sclerosing Cholangitis (PSC) is a persistent inflammatory liver condition that affects the bile ducts and is commonly diagnosed in young individuals. Despite efforts to incorporate various clinical, biochemical and molecular parameters for diagnosing PSC, it remains challenging, and no biomarkers characteristic of the disease have been identified hitherto. PSC is linked with an uncertain prognosis, and there is a pressing need to explore multiomics databases to establish a new biomarker panel for the early detection of PSC's gradual progression into Cholangiocarcinoma (CCA) and for the development of effective therapeutic interventions. Apart from non-coding RNAs, other components of the Ribonucleoprotein (RNP) complex, such as RNA-Binding Proteins (RBPs), also hold great promise as biomarkers due to their versatile expression in pathological conditions. In the present review, an update on the RBP transcripts that show dysregulated expression in PSC and CCA is provided. Moreover, by utilizing a bioinformatic data mining approach, we give insight into those RBP transcripts that also exhibit differential expression in liver and gall bladder, as well as in body fluids, and are promising as biomarkers for diagnosing and predicting the prognosis of PSC. Expression data were bioinformatically extracted from public repositories usingTCGA Bile Duct Cancer dataset for CCA and specific NCBI GEO datasets for both PSC and CCA; more specifically, RBPs annotations were obtained from RBP World database. Interestingly, our comprehensive analysis shows an elevated expression of the non-canonical RBPs,

Identifiants

pubmed: 38903178
doi: 10.3389/fmolb.2024.1388294
pii: 1388294
pmc: PMC11187294
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

1388294

Informations de copyright

Copyright © 2024 Ala and Fagoonee.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Auteurs

Ugo Ala (U)

Department of Veterinary Sciences, University of Turin, Turin, Italy.

Sharmila Fagoonee (S)

Institute of Biostructure and Bioimaging (CNR), Molecular Biotechnology Center "Guido Tarone", Turin, Italy.

Classifications MeSH