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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Main Authors: Paola Fuso, Mariantonietta Di Salvatore, Concetta Santonocito, Donatella Guarino, Chiara Autilio, Antonino Mulè, Damiano Arciuolo, Antonina Rinninella, Flavio Mignone, Matteo Ramundo, Brunella Di Stefano, Armando Orlandi, Ettore Capoluongo, Nicola Nicolotti, Gianluca Franceschini, Alejandro Martin Sanchez, Giampaolo Tortora, Giovanni Scambia, Carlo Barone, Alessandra Cassano
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Journal of Personalized Medicine
Subjects:
Online Access:https://www.mdpi.com/2075-4426/11/8/816
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language English
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author Paola Fuso
Mariantonietta Di Salvatore
Concetta Santonocito
Donatella Guarino
Chiara Autilio
Antonino Mulè
Damiano Arciuolo
Antonina Rinninella
Flavio Mignone
Matteo Ramundo
Brunella Di Stefano
Armando Orlandi
Ettore Capoluongo
Nicola Nicolotti
Gianluca Franceschini
Alejandro Martin Sanchez
Giampaolo Tortora
Giovanni Scambia
Carlo Barone
Alessandra Cassano
spellingShingle Paola Fuso
Mariantonietta Di Salvatore
Concetta Santonocito
Donatella Guarino
Chiara Autilio
Antonino Mulè
Damiano Arciuolo
Antonina Rinninella
Flavio Mignone
Matteo Ramundo
Brunella Di Stefano
Armando Orlandi
Ettore Capoluongo
Nicola Nicolotti
Gianluca Franceschini
Alejandro Martin Sanchez
Giampaolo Tortora
Giovanni Scambia
Carlo Barone
Alessandra Cassano
Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer Patients
Journal of Personalized Medicine
subtypes breast cancer
miRNAs
breast cancer treatment
chemotherapy
integrated therapies
next-generation-sequencing
author_facet Paola Fuso
Mariantonietta Di Salvatore
Concetta Santonocito
Donatella Guarino
Chiara Autilio
Antonino Mulè
Damiano Arciuolo
Antonina Rinninella
Flavio Mignone
Matteo Ramundo
Brunella Di Stefano
Armando Orlandi
Ettore Capoluongo
Nicola Nicolotti
Gianluca Franceschini
Alejandro Martin Sanchez
Giampaolo Tortora
Giovanni Scambia
Carlo Barone
Alessandra Cassano
author_sort Paola Fuso
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_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_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_sort let-7a-5p, mir-100-5p, mir-101-3p, and mir-199a-3p hyperexpression as potential predictive biomarkers in early breast cancer patients
publisher MDPI AG
series Journal of Personalized Medicine
issn 2075-4426
publishDate 2021-08-01
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 <i>p</i> = 0.006; OS <i>p</i> = 0.0001), mirR-100-5p (EFS s <i>p</i> = 0.01; OS <i>p</i> = 0.03), miR-101-3p (EFS <i>p</i> = 0.05; OS <i>p</i> = 0.01), and miR-199a-3p (EFS <i>p</i> = 0.02; OS <i>p</i> = 0.01) in post-NAC samples, independently from breast cancer subtypes. At multivariate analysis, only let-7a-5p was significantly associated with EFS (<i>p</i> = 0.009) and OS (<i>p</i> = 0.0008). Conclusion: Up-regulation of the above miRNAs could represent biomarkers in breast cancer.
topic subtypes breast cancer
miRNAs
breast cancer treatment
chemotherapy
integrated therapies
next-generation-sequencing
url https://www.mdpi.com/2075-4426/11/8/816
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spelling doaj-3d1ee6737ded49ce8bcb8aa1b99668122021-08-26T13:58:08ZengMDPI AGJournal of Personalized Medicine2075-44262021-08-011181681610.3390/jpm11080816Let-7a-5p, miR-100-5p, miR-101-3p, and miR-199a-3p Hyperexpression as Potential Predictive Biomarkers in Early Breast Cancer PatientsPaola Fuso0Mariantonietta Di Salvatore1Concetta Santonocito2Donatella Guarino3Chiara Autilio4Antonino Mulè5Damiano Arciuolo6Antonina Rinninella7Flavio Mignone8Matteo Ramundo9Brunella Di Stefano10Armando Orlandi11Ettore Capoluongo12Nicola Nicolotti13Gianluca Franceschini14Alejandro Martin Sanchez15Giampaolo Tortora16Giovanni Scambia17Carlo Barone18Alessandra Cassano19Department of Woman and Child Health and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyDepartment of Biochemistry and Molecular Biology, Faculty of Biology and Research Institute, Universidad Complutense, Av. Sèneca, 2, 28040 Madrid, SpainDepartment of Woman and Child Health and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, ItalyDepartment of Woman and Child Health and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, ItalyDepartment of Science and Innovation Technology, University of Piemonte Orientale, V.le Teresa Michel 11, 15121 Alessandria, ItalyDepartment of Science and Innovation Technology, University of Piemonte Orientale, V.le Teresa Michel 11, 15121 Alessandria, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyDepartment of Woman and Child Health and Public Health, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Largo A. Gemelli 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyFaculty of Medicine and Surgery, Università Cattolica Del Sacro Cuore, Largo F. Vito 8, 00168 Rome, ItalyBackground: 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 <i>p</i> = 0.006; OS <i>p</i> = 0.0001), mirR-100-5p (EFS s <i>p</i> = 0.01; OS <i>p</i> = 0.03), miR-101-3p (EFS <i>p</i> = 0.05; OS <i>p</i> = 0.01), and miR-199a-3p (EFS <i>p</i> = 0.02; OS <i>p</i> = 0.01) in post-NAC samples, independently from breast cancer subtypes. At multivariate analysis, only let-7a-5p was significantly associated with EFS (<i>p</i> = 0.009) and OS (<i>p</i> = 0.0008). Conclusion: Up-regulation of the above miRNAs could represent biomarkers in breast cancer.https://www.mdpi.com/2075-4426/11/8/816subtypes breast cancermiRNAsbreast cancer treatmentchemotherapyintegrated therapiesnext-generation-sequencing