Diagnostic and Prognostic Value of miR-93 in Prostate Cancer: A Meta-Analysis and Bioinformatics Analysis.

Bioinformatics Expression Meta-analysis Prostate miR-93

Journal

Iranian journal of public health
ISSN: 2251-6093
Titre abrégé: Iran J Public Health
Pays: Iran
ID NLM: 7505531

Informations de publication

Date de publication:
Nov 2023
Historique:
received: 15 03 2023
accepted: 19 06 2023
medline: 18 12 2023
pubmed: 18 12 2023
entrez: 18 12 2023
Statut: ppublish

Résumé

Accurate and non-invasive diagnostic and prognostic markers are necessary to improve patient outcomes. MicroRNAs have been proposed as relatively non-invasive and pertinent biomarkers. miR-93 has been studied for its potential as a diagnostic and prognostic marker in prostate cancer (PCa), but findings from individual studies are inconsistent. We conducted a meta-analysis of its overall differential expression in 13 PCa studies and a bioinformatics analysis to provide a comprehensive appraisal of its diagnostic and prognostic role. We searched all published papers on miR-93 expression in PCa up to Nov 30, 2022 using PubMed, Science Direct, Web of Science, Cochrane Central Register of Controlled Trials databases. We used RevMan software to Meta-analyze the included literature. A bioinformatics analysis of genes and pathways that might be target to the effect of the mature miR-93-5p was carried out. The pooled standardized mean difference (SMD) of miR-93 expression in PCa, its area under the curve (AUC) and hazard ratio (HR) were 1.26, 95% CI [-0.34-2.86], 0.84, 95% CI [0.76 -0.93] and 1.67, 95% CI [0.98, 2.84] respectively. Bioinformatics analysis revealed that mature miR-93-5p may regulate genes such as SMAD1, SMAD7 and MAPK and the PI3K-Akt signaling pathways. miR-93 has significant diagnostic and prognostic value in PCa. These findings highlight the potential of miR-93 as a non-invasive biomarker for PCa and may contribute to earlier detection and prognostic assessment. The target genes and signaling pathways regulated by miR-93 may provide insights into the underlying molecular mechanisms of PCa.

Sections du résumé

Background UNASSIGNED
Accurate and non-invasive diagnostic and prognostic markers are necessary to improve patient outcomes. MicroRNAs have been proposed as relatively non-invasive and pertinent biomarkers. miR-93 has been studied for its potential as a diagnostic and prognostic marker in prostate cancer (PCa), but findings from individual studies are inconsistent. We conducted a meta-analysis of its overall differential expression in 13 PCa studies and a bioinformatics analysis to provide a comprehensive appraisal of its diagnostic and prognostic role.
Methods UNASSIGNED
We searched all published papers on miR-93 expression in PCa up to Nov 30, 2022 using PubMed, Science Direct, Web of Science, Cochrane Central Register of Controlled Trials databases. We used RevMan software to Meta-analyze the included literature. A bioinformatics analysis of genes and pathways that might be target to the effect of the mature miR-93-5p was carried out.
Results UNASSIGNED
The pooled standardized mean difference (SMD) of miR-93 expression in PCa, its area under the curve (AUC) and hazard ratio (HR) were 1.26, 95% CI [-0.34-2.86], 0.84, 95% CI [0.76 -0.93] and 1.67, 95% CI [0.98, 2.84] respectively. Bioinformatics analysis revealed that mature miR-93-5p may regulate genes such as SMAD1, SMAD7 and MAPK and the PI3K-Akt signaling pathways.
Conclusion UNASSIGNED
miR-93 has significant diagnostic and prognostic value in PCa. These findings highlight the potential of miR-93 as a non-invasive biomarker for PCa and may contribute to earlier detection and prognostic assessment. The target genes and signaling pathways regulated by miR-93 may provide insights into the underlying molecular mechanisms of PCa.

Identifiants

pubmed: 38106826
doi: 10.18502/ijph.v52i11.14026
pii: IJPH-52-2260
pmc: PMC10719693
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

2260-2271

Informations de copyright

Copyright© 2023 Gazzaz et al. Published by Tehran University of Medical Sciences.

Auteurs

Hassane Gazzaz (H)

Clinical, Metabolic and Molecular Biochemistry Team, Faculty of Medicine and Pharmacy, Mohammed V University,10100 Rabat, Morocco.
Higher Institute of Nursing Professions and Health Techniques of Marrakech, annex of Safi, Morocco.

Maha El Habchi (ME)

Research Laboratory of Psychiatry, Medical Psychology and History of Medicine, Faculty of Medicine and Pharmacy, Mohammed V University, 10100 Rabat, Morocco.

Mohammed El Feniche (ME)

Laboratory of Biostatistics, Clinical Research and Epidemiology, Faculty of Medicine and Pharmacy, Mohammed V University, 10100 Rabat, Morocco.

Yassine El Aatik (YE)

Research Laboratory of Psychiatry, Medical Psychology and History of Medicine, Faculty of Medicine and Pharmacy, Mohammed V University, 10100 Rabat, Morocco.

Abdelghani El Ouardi (AE)

Research Laboratory of Psychiatry, Medical Psychology and History of Medicine, Faculty of Medicine and Pharmacy, Mohammed V University, 10100 Rabat, Morocco.

Ahmed Ameur (A)

Department of Urology, Military Hospital Mohammed V, 10045 Rabat, Morocco.

Abdellah Dami (A)

Clinical, Metabolic and Molecular Biochemistry Team, Faculty of Medicine and Pharmacy, Mohammed V University,10100 Rabat, Morocco.
Department of Biochemistry and Toxicology, Military Hospital Mohammed V, 10045 Rabat, Morocco.

Classifications MeSH