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...
Main Authors: | , , , , , , , , , , , , , , , , , , , |
---|---|
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 |
id |
doaj-3d1ee6737ded49ce8bcb8aa1b9966812 |
---|---|
record_format |
Article |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
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 |
work_keys_str_mv |
AT paolafuso let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT mariantoniettadisalvatore let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT concettasantonocito let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT donatellaguarino let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT chiaraautilio let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT antoninomule let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT damianoarciuolo let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT antoninarinninella let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT flaviomignone let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT matteoramundo let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT brunelladistefano let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT armandoorlandi let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT ettorecapoluongo let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT nicolanicolotti let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT gianlucafranceschini let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT alejandromartinsanchez let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT giampaolotortora let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT giovanniscambia let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT carlobarone let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients AT alessandracassano let7a5pmir1005pmir1013pandmir199a3phyperexpressionaspotentialpredictivebiomarkersinearlybreastcancerpatients |
_version_ |
1721192141705707520 |
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 |