Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients

Background: The aim of this study is to identify miRNAs able to predict the outcomes in breast cancer patients after neoadjuvant chemotherapy (NAC). Patients and methods: We retrospectively analyzed 24 patients receiving NAC and not reaching pathologic complete response (pCR). miRNAs were analyzed u...

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Autores principales: Fuso, Paola, Di Salvatore, Mariantonietta, Santonocito, Concetta, Guarino, Donatella, Autilio, Chiara, Mulè, Antonino, Arciuolo, Damiano, Rinninella, Antonina, Mignone, Flavio, Ramundo, Matteo, Di Stefano, Brunella, Orlandi, Armando, Capoluongo, Ettore, Nicolotti, Nicola, Franceschini, Gianluca, Sanchez, Alejandro Martin, Tortora, Giampaolo, Scambia, Giovanni, Barone, Carlo, Cassano, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400663/
https://www.ncbi.nlm.nih.gov/pubmed/34442460
http://dx.doi.org/10.3390/jpm11080816
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author Fuso, Paola
Di Salvatore, Mariantonietta
Santonocito, Concetta
Guarino, Donatella
Autilio, Chiara
Mulè, Antonino
Arciuolo, Damiano
Rinninella, Antonina
Mignone, Flavio
Ramundo, Matteo
Di Stefano, Brunella
Orlandi, Armando
Capoluongo, Ettore
Nicolotti, Nicola
Franceschini, Gianluca
Sanchez, Alejandro Martin
Tortora, Giampaolo
Scambia, Giovanni
Barone, Carlo
Cassano, Alessandra
author_facet Fuso, Paola
Di Salvatore, Mariantonietta
Santonocito, Concetta
Guarino, Donatella
Autilio, Chiara
Mulè, Antonino
Arciuolo, Damiano
Rinninella, Antonina
Mignone, Flavio
Ramundo, Matteo
Di Stefano, Brunella
Orlandi, Armando
Capoluongo, Ettore
Nicolotti, Nicola
Franceschini, Gianluca
Sanchez, Alejandro Martin
Tortora, Giampaolo
Scambia, Giovanni
Barone, Carlo
Cassano, Alessandra
author_sort Fuso, Paola
collection PubMed
description Background: The aim of this study is to identify miRNAs able to predict the outcomes in breast cancer patients after neoadjuvant chemotherapy (NAC). Patients and methods: We retrospectively analyzed 24 patients receiving NAC and not reaching pathologic complete response (pCR). miRNAs were analyzed using an Illumina Next-Generation-Sequencing (NGS) system. Results: Event-free survival (EFS) and overall survival (OS) were significantly higher in patients with up-regulation of let-7a-5p (EFS p = 0.006; OS p = 0.0001), mirR-100-5p (EFS s p = 0.01; OS p = 0.03), miR-101-3p (EFS p = 0.05; OS p = 0.01), and miR-199a-3p (EFS p = 0.02; OS p = 0.01) in post-NAC samples, independently from breast cancer subtypes. At multivariate analysis, only let-7a-5p was significantly associated with EFS (p = 0.009) and OS (p = 0.0008). Conclusion: Up-regulation of the above miRNAs could represent biomarkers in breast cancer.
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spelling pubmed-84006632021-08-29 Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients Fuso, Paola Di Salvatore, Mariantonietta Santonocito, Concetta Guarino, Donatella Autilio, Chiara Mulè, Antonino Arciuolo, Damiano Rinninella, Antonina Mignone, Flavio Ramundo, Matteo Di Stefano, Brunella Orlandi, Armando Capoluongo, Ettore Nicolotti, Nicola Franceschini, Gianluca Sanchez, Alejandro Martin Tortora, Giampaolo Scambia, Giovanni Barone, Carlo Cassano, Alessandra J Pers Med Article Background: The aim of this study is to identify miRNAs able to predict the outcomes in breast cancer patients after neoadjuvant chemotherapy (NAC). Patients and methods: We retrospectively analyzed 24 patients receiving NAC and not reaching pathologic complete response (pCR). miRNAs were analyzed using an Illumina Next-Generation-Sequencing (NGS) system. Results: Event-free survival (EFS) and overall survival (OS) were significantly higher in patients with up-regulation of let-7a-5p (EFS p = 0.006; OS p = 0.0001), mirR-100-5p (EFS s p = 0.01; OS p = 0.03), miR-101-3p (EFS p = 0.05; OS p = 0.01), and miR-199a-3p (EFS p = 0.02; OS p = 0.01) in post-NAC samples, independently from breast cancer subtypes. At multivariate analysis, only let-7a-5p was significantly associated with EFS (p = 0.009) and OS (p = 0.0008). Conclusion: Up-regulation of the above miRNAs could represent biomarkers in breast cancer. MDPI 2021-08-20 /pmc/articles/PMC8400663/ /pubmed/34442460 http://dx.doi.org/10.3390/jpm11080816 Text en © 2021 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 Article
Fuso, Paola
Di Salvatore, Mariantonietta
Santonocito, Concetta
Guarino, Donatella
Autilio, Chiara
Mulè, Antonino
Arciuolo, Damiano
Rinninella, Antonina
Mignone, Flavio
Ramundo, Matteo
Di Stefano, Brunella
Orlandi, Armando
Capoluongo, Ettore
Nicolotti, Nicola
Franceschini, Gianluca
Sanchez, Alejandro Martin
Tortora, Giampaolo
Scambia, Giovanni
Barone, Carlo
Cassano, Alessandra
Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients
title Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients
title_full Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients
title_fullStr Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients
title_full_unstemmed Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients
title_short Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients
title_sort let-7a-5p, mir-100-5p, mir-101-3p, and mir-199a-3p hyperexpression as potential predictive biomarkers in early breast cancer patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8400663/
https://www.ncbi.nlm.nih.gov/pubmed/34442460
http://dx.doi.org/10.3390/jpm11080816
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