Cargando…
miRNA profile obtained by next-generation sequencing in metastatic breast cancer patients is able to predict the response to systemic treatments
Metastatic breast cancer (MBC) is a challenge for oncologists, and public efforts should focus on identifying additional molecular markers and therapeutic management to improve clinical outcomes. Among all diagnosed cases of breast cancer (BC; approximately 10%) involve metastatic disease; notably,...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6713405/ https://www.ncbi.nlm.nih.gov/pubmed/31364724 http://dx.doi.org/10.3892/ijmm.2019.4292 |
_version_ | 1783446871294869504 |
---|---|
author | Martinez-Gutierrez, Antonio Daniel Catalan, Oliver Millan Vázquez-Romo, Rafael Reyes, Fany Iris Porras Alvarado-Miranda, Alberto Medina, Fernando Lara Bargallo-rocha, Juan E. Moreno, Luz Tonatzin Orozco De León, David Cantú Herrera, Luis Alonso López-Camarillo, César Pérez-Plasencia, Carlos Campos-parra, Alma D. |
author_facet | Martinez-Gutierrez, Antonio Daniel Catalan, Oliver Millan Vázquez-Romo, Rafael Reyes, Fany Iris Porras Alvarado-Miranda, Alberto Medina, Fernando Lara Bargallo-rocha, Juan E. Moreno, Luz Tonatzin Orozco De León, David Cantú Herrera, Luis Alonso López-Camarillo, César Pérez-Plasencia, Carlos Campos-parra, Alma D. |
author_sort | Martinez-Gutierrez, Antonio Daniel |
collection | PubMed |
description | Metastatic breast cancer (MBC) is a challenge for oncologists, and public efforts should focus on identifying additional molecular markers and therapeutic management to improve clinical outcomes. Among all diagnosed cases of breast cancer (BC; approximately 10%) involve metastatic disease; notably, approximately 40% of patients with early-stage BC develop metastasis within 5 years. The management of MBC consists of systemic therapy. Despite different treatment options, the 5-year survival rate is <20%, which may be due to a lack of response with de novo or acquired resistance. MicroRNAs (miRNAs or miRs) are promising biomarkers as they are readily detectable and have a broad spectrum and potential clinical applications. The aim of this study was to identify a miRNA profile for distinguishing patients with MBC who respond to systemic treatment. Patients with MBC were treated according to the National Comprehensive Cancer Network guidelines. We performed miRNA-Seq on 9 primary tumors using the Thermo Fisher Scientific Ion S5 system. To obtain global miRNA profiles, we carried out differentially expressed gene elimination strategy (DEGES) analysis between the responsive and non-responsive patients. The results identified a profile of 12 miRNAs associated with the response to systemic treatment. The data were validated in an independent cohort (TCGA database). Based on the results, the upregulation of miR-342-3p and miR-187-3p was associated with the response to systemic treatment, and with an increased progression-free survival (PFS) and overall survival (OS); by contrast, the downregulation of miR-301a-3p was associated with a higher PFS and OS. On the whole, the findings of this study indicate that these miRNAs may serve as biomarkers for the response to systemic treatment or the prognosis of patients with MBC. However, these data should be validated experimentally in other robust cohorts and using different specimens before implementing these miRNAs as biomarkers in clinical practice to benefit this group of patients. |
format | Online Article Text |
id | pubmed-6713405 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-67134052019-08-31 miRNA profile obtained by next-generation sequencing in metastatic breast cancer patients is able to predict the response to systemic treatments Martinez-Gutierrez, Antonio Daniel Catalan, Oliver Millan Vázquez-Romo, Rafael Reyes, Fany Iris Porras Alvarado-Miranda, Alberto Medina, Fernando Lara Bargallo-rocha, Juan E. Moreno, Luz Tonatzin Orozco De León, David Cantú Herrera, Luis Alonso López-Camarillo, César Pérez-Plasencia, Carlos Campos-parra, Alma D. Int J Mol Med Articles Metastatic breast cancer (MBC) is a challenge for oncologists, and public efforts should focus on identifying additional molecular markers and therapeutic management to improve clinical outcomes. Among all diagnosed cases of breast cancer (BC; approximately 10%) involve metastatic disease; notably, approximately 40% of patients with early-stage BC develop metastasis within 5 years. The management of MBC consists of systemic therapy. Despite different treatment options, the 5-year survival rate is <20%, which may be due to a lack of response with de novo or acquired resistance. MicroRNAs (miRNAs or miRs) are promising biomarkers as they are readily detectable and have a broad spectrum and potential clinical applications. The aim of this study was to identify a miRNA profile for distinguishing patients with MBC who respond to systemic treatment. Patients with MBC were treated according to the National Comprehensive Cancer Network guidelines. We performed miRNA-Seq on 9 primary tumors using the Thermo Fisher Scientific Ion S5 system. To obtain global miRNA profiles, we carried out differentially expressed gene elimination strategy (DEGES) analysis between the responsive and non-responsive patients. The results identified a profile of 12 miRNAs associated with the response to systemic treatment. The data were validated in an independent cohort (TCGA database). Based on the results, the upregulation of miR-342-3p and miR-187-3p was associated with the response to systemic treatment, and with an increased progression-free survival (PFS) and overall survival (OS); by contrast, the downregulation of miR-301a-3p was associated with a higher PFS and OS. On the whole, the findings of this study indicate that these miRNAs may serve as biomarkers for the response to systemic treatment or the prognosis of patients with MBC. However, these data should be validated experimentally in other robust cohorts and using different specimens before implementing these miRNAs as biomarkers in clinical practice to benefit this group of patients. D.A. Spandidos 2019-10 2019-07-30 /pmc/articles/PMC6713405/ /pubmed/31364724 http://dx.doi.org/10.3892/ijmm.2019.4292 Text en Copyright: © Martinez-Gutierrez et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Martinez-Gutierrez, Antonio Daniel Catalan, Oliver Millan Vázquez-Romo, Rafael Reyes, Fany Iris Porras Alvarado-Miranda, Alberto Medina, Fernando Lara Bargallo-rocha, Juan E. Moreno, Luz Tonatzin Orozco De León, David Cantú Herrera, Luis Alonso López-Camarillo, César Pérez-Plasencia, Carlos Campos-parra, Alma D. miRNA profile obtained by next-generation sequencing in metastatic breast cancer patients is able to predict the response to systemic treatments |
title | miRNA profile obtained by next-generation sequencing in metastatic breast cancer patients is able to predict the response to systemic treatments |
title_full | miRNA profile obtained by next-generation sequencing in metastatic breast cancer patients is able to predict the response to systemic treatments |
title_fullStr | miRNA profile obtained by next-generation sequencing in metastatic breast cancer patients is able to predict the response to systemic treatments |
title_full_unstemmed | miRNA profile obtained by next-generation sequencing in metastatic breast cancer patients is able to predict the response to systemic treatments |
title_short | miRNA profile obtained by next-generation sequencing in metastatic breast cancer patients is able to predict the response to systemic treatments |
title_sort | mirna profile obtained by next-generation sequencing in metastatic breast cancer patients is able to predict the response to systemic treatments |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6713405/ https://www.ncbi.nlm.nih.gov/pubmed/31364724 http://dx.doi.org/10.3892/ijmm.2019.4292 |
work_keys_str_mv | AT martinezgutierrezantoniodaniel mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT catalanolivermillan mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT vazquezromorafael mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT reyesfanyirisporras mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT alvaradomirandaalberto mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT medinafernandolara mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT bargallorochajuane mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT morenoluztonatzinorozco mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT deleondavidcantu mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT herreraluisalonso mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT lopezcamarillocesar mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT perezplasenciacarlos mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments AT camposparraalmad mirnaprofileobtainedbynextgenerationsequencinginmetastaticbreastcancerpatientsisabletopredicttheresponsetosystemictreatments |