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Assessing the Role of MicroRNAs in Predicting Breast Cancer Recurrence—A Systematic Review

Identifying patients likely to develop breast cancer recurrence remains a challenge. Thus, the discovery of biomarkers capable of diagnosing recurrence is of the utmost importance. MiRNAs are small, non-coding RNA molecules which are known to regulate genetic expression and have previously demonstra...

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Autores principales: Bouz Mkabaah, Luis, Davey, Matthew G., Lennon, James C., Bouz, Ghada, Miller, Nicola, Kerin, Michael J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138898/
https://www.ncbi.nlm.nih.gov/pubmed/37108278
http://dx.doi.org/10.3390/ijms24087115
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author Bouz Mkabaah, Luis
Davey, Matthew G.
Lennon, James C.
Bouz, Ghada
Miller, Nicola
Kerin, Michael J.
author_facet Bouz Mkabaah, Luis
Davey, Matthew G.
Lennon, James C.
Bouz, Ghada
Miller, Nicola
Kerin, Michael J.
author_sort Bouz Mkabaah, Luis
collection PubMed
description Identifying patients likely to develop breast cancer recurrence remains a challenge. Thus, the discovery of biomarkers capable of diagnosing recurrence is of the utmost importance. MiRNAs are small, non-coding RNA molecules which are known to regulate genetic expression and have previously demonstrated relevance as biomarkers in malignancy. To perform a systematic review evaluating the role of miRNAs in predicting breast cancer recurrence. A formal systematic search of PubMed, Scopus, Web of Science, and Cochrane databases was performed. This search was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) checklist. A total of 19 studies involving 2287 patients were included. These studies identified 44 miRNAs which predicted breast cancer recurrence. Results from nine studies assessed miRNAs in tumour tissues (47.4%), eight studies included circulating miRNAs (42.1%), and two studies assessed both tumour and circulating miRNAs (10.5%). Increased expression of 25 miRNAs were identified in patients who developed recurrence, and decreased expression of 14 miRNAs. Interestingly, five miRNAs (miR-17-5p, miR-93-5p, miR-130a-3p, miR-155, and miR-375) had discordant expression levels, with previous studies indicating both increased and reduced expression levels of these biomarkers predicting recurrence. MiRNA expression patterns have the ability to predict breast cancer recurrence. These findings may be used in future translational research studies to identify patients with breast cancer recurrence to improve oncological and survival outcomes for our prospective patients.
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spelling pubmed-101388982023-04-28 Assessing the Role of MicroRNAs in Predicting Breast Cancer Recurrence—A Systematic Review Bouz Mkabaah, Luis Davey, Matthew G. Lennon, James C. Bouz, Ghada Miller, Nicola Kerin, Michael J. Int J Mol Sci Review Identifying patients likely to develop breast cancer recurrence remains a challenge. Thus, the discovery of biomarkers capable of diagnosing recurrence is of the utmost importance. MiRNAs are small, non-coding RNA molecules which are known to regulate genetic expression and have previously demonstrated relevance as biomarkers in malignancy. To perform a systematic review evaluating the role of miRNAs in predicting breast cancer recurrence. A formal systematic search of PubMed, Scopus, Web of Science, and Cochrane databases was performed. This search was performed according to the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) checklist. A total of 19 studies involving 2287 patients were included. These studies identified 44 miRNAs which predicted breast cancer recurrence. Results from nine studies assessed miRNAs in tumour tissues (47.4%), eight studies included circulating miRNAs (42.1%), and two studies assessed both tumour and circulating miRNAs (10.5%). Increased expression of 25 miRNAs were identified in patients who developed recurrence, and decreased expression of 14 miRNAs. Interestingly, five miRNAs (miR-17-5p, miR-93-5p, miR-130a-3p, miR-155, and miR-375) had discordant expression levels, with previous studies indicating both increased and reduced expression levels of these biomarkers predicting recurrence. MiRNA expression patterns have the ability to predict breast cancer recurrence. These findings may be used in future translational research studies to identify patients with breast cancer recurrence to improve oncological and survival outcomes for our prospective patients. MDPI 2023-04-12 /pmc/articles/PMC10138898/ /pubmed/37108278 http://dx.doi.org/10.3390/ijms24087115 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Bouz Mkabaah, Luis
Davey, Matthew G.
Lennon, James C.
Bouz, Ghada
Miller, Nicola
Kerin, Michael J.
Assessing the Role of MicroRNAs in Predicting Breast Cancer Recurrence—A Systematic Review
title Assessing the Role of MicroRNAs in Predicting Breast Cancer Recurrence—A Systematic Review
title_full Assessing the Role of MicroRNAs in Predicting Breast Cancer Recurrence—A Systematic Review
title_fullStr Assessing the Role of MicroRNAs in Predicting Breast Cancer Recurrence—A Systematic Review
title_full_unstemmed Assessing the Role of MicroRNAs in Predicting Breast Cancer Recurrence—A Systematic Review
title_short Assessing the Role of MicroRNAs in Predicting Breast Cancer Recurrence—A Systematic Review
title_sort assessing the role of micrornas in predicting breast cancer recurrence—a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138898/
https://www.ncbi.nlm.nih.gov/pubmed/37108278
http://dx.doi.org/10.3390/ijms24087115
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