Cargando…

Identification and Pathway Analysis of microRNAs with No Previous Involvement in Breast Cancer

microRNA expression signatures can differentiate normal and breast cancer tissues and can define specific clinico-pathological phenotypes in breast tumors. In order to further evaluate the microRNA expression profile in breast cancer, we analyzed the expression of 667 microRNAs in 29 tumors and 21 a...

Descripción completa

Detalles Bibliográficos
Autores principales: Romero-Cordoba, Sandra, Rodriguez-Cuevas, Sergio, Rebollar-Vega, Rosa, Quintanar-Jurado, Valeria, Maffuz-Aziz, Antonio, Jimenez-Sanchez, Gerardo, Bautista-Piña, Veronica, Arellano-Llamas, Rocio, Hidalgo-Miranda, Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3306365/
https://www.ncbi.nlm.nih.gov/pubmed/22438871
http://dx.doi.org/10.1371/journal.pone.0031904
_version_ 1782227210768220160
author Romero-Cordoba, Sandra
Rodriguez-Cuevas, Sergio
Rebollar-Vega, Rosa
Quintanar-Jurado, Valeria
Maffuz-Aziz, Antonio
Jimenez-Sanchez, Gerardo
Bautista-Piña, Veronica
Arellano-Llamas, Rocio
Hidalgo-Miranda, Alfredo
author_facet Romero-Cordoba, Sandra
Rodriguez-Cuevas, Sergio
Rebollar-Vega, Rosa
Quintanar-Jurado, Valeria
Maffuz-Aziz, Antonio
Jimenez-Sanchez, Gerardo
Bautista-Piña, Veronica
Arellano-Llamas, Rocio
Hidalgo-Miranda, Alfredo
author_sort Romero-Cordoba, Sandra
collection PubMed
description microRNA expression signatures can differentiate normal and breast cancer tissues and can define specific clinico-pathological phenotypes in breast tumors. In order to further evaluate the microRNA expression profile in breast cancer, we analyzed the expression of 667 microRNAs in 29 tumors and 21 adjacent normal tissues using TaqMan Low-density arrays. 130 miRNAs showed significant differential expression (adjusted P value = 0.05, Fold Change = 2) in breast tumors compared to the normal adjacent tissue. Importantly, the role of 43 of these microRNAs has not been previously reported in breast cancer, including several evolutionary conserved microRNA*, showing similar expression rates to that of their corresponding leading strand. The expression of 14 microRNAs was replicated in an independent set of 55 tumors. Bioinformatic analysis of mRNA targets of the altered miRNAs, identified oncogenes like ERBB2, YY1, several MAP kinases, and known tumor-suppressors like FOXA1 and SMAD4. Pathway analysis identified that some biological process which are important in breast carcinogenesis are affected by the altered microRNA expression, including signaling through MAP kinases and TP53 pathways, as well as biological processes like cell death and communication, focal adhesion and ERBB2-ERBB3 signaling. Our data identified the altered expression of several microRNAs whose aberrant expression might have an important impact on cancer-related cellular pathways and whose role in breast cancer has not been previously described.
format Online
Article
Text
id pubmed-3306365
institution National Center for Biotechnology Information
language English
publishDate 2012
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-33063652012-03-21 Identification and Pathway Analysis of microRNAs with No Previous Involvement in Breast Cancer Romero-Cordoba, Sandra Rodriguez-Cuevas, Sergio Rebollar-Vega, Rosa Quintanar-Jurado, Valeria Maffuz-Aziz, Antonio Jimenez-Sanchez, Gerardo Bautista-Piña, Veronica Arellano-Llamas, Rocio Hidalgo-Miranda, Alfredo PLoS One Research Article microRNA expression signatures can differentiate normal and breast cancer tissues and can define specific clinico-pathological phenotypes in breast tumors. In order to further evaluate the microRNA expression profile in breast cancer, we analyzed the expression of 667 microRNAs in 29 tumors and 21 adjacent normal tissues using TaqMan Low-density arrays. 130 miRNAs showed significant differential expression (adjusted P value = 0.05, Fold Change = 2) in breast tumors compared to the normal adjacent tissue. Importantly, the role of 43 of these microRNAs has not been previously reported in breast cancer, including several evolutionary conserved microRNA*, showing similar expression rates to that of their corresponding leading strand. The expression of 14 microRNAs was replicated in an independent set of 55 tumors. Bioinformatic analysis of mRNA targets of the altered miRNAs, identified oncogenes like ERBB2, YY1, several MAP kinases, and known tumor-suppressors like FOXA1 and SMAD4. Pathway analysis identified that some biological process which are important in breast carcinogenesis are affected by the altered microRNA expression, including signaling through MAP kinases and TP53 pathways, as well as biological processes like cell death and communication, focal adhesion and ERBB2-ERBB3 signaling. Our data identified the altered expression of several microRNAs whose aberrant expression might have an important impact on cancer-related cellular pathways and whose role in breast cancer has not been previously described. Public Library of Science 2012-03-16 /pmc/articles/PMC3306365/ /pubmed/22438871 http://dx.doi.org/10.1371/journal.pone.0031904 Text en Romero-Cordoba et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Romero-Cordoba, Sandra
Rodriguez-Cuevas, Sergio
Rebollar-Vega, Rosa
Quintanar-Jurado, Valeria
Maffuz-Aziz, Antonio
Jimenez-Sanchez, Gerardo
Bautista-Piña, Veronica
Arellano-Llamas, Rocio
Hidalgo-Miranda, Alfredo
Identification and Pathway Analysis of microRNAs with No Previous Involvement in Breast Cancer
title Identification and Pathway Analysis of microRNAs with No Previous Involvement in Breast Cancer
title_full Identification and Pathway Analysis of microRNAs with No Previous Involvement in Breast Cancer
title_fullStr Identification and Pathway Analysis of microRNAs with No Previous Involvement in Breast Cancer
title_full_unstemmed Identification and Pathway Analysis of microRNAs with No Previous Involvement in Breast Cancer
title_short Identification and Pathway Analysis of microRNAs with No Previous Involvement in Breast Cancer
title_sort identification and pathway analysis of micrornas with no previous involvement in breast cancer
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3306365/
https://www.ncbi.nlm.nih.gov/pubmed/22438871
http://dx.doi.org/10.1371/journal.pone.0031904
work_keys_str_mv AT romerocordobasandra identificationandpathwayanalysisofmicrornaswithnopreviousinvolvementinbreastcancer
AT rodriguezcuevassergio identificationandpathwayanalysisofmicrornaswithnopreviousinvolvementinbreastcancer
AT rebollarvegarosa identificationandpathwayanalysisofmicrornaswithnopreviousinvolvementinbreastcancer
AT quintanarjuradovaleria identificationandpathwayanalysisofmicrornaswithnopreviousinvolvementinbreastcancer
AT maffuzazizantonio identificationandpathwayanalysisofmicrornaswithnopreviousinvolvementinbreastcancer
AT jimenezsanchezgerardo identificationandpathwayanalysisofmicrornaswithnopreviousinvolvementinbreastcancer
AT bautistapinaveronica identificationandpathwayanalysisofmicrornaswithnopreviousinvolvementinbreastcancer
AT arellanollamasrocio identificationandpathwayanalysisofmicrornaswithnopreviousinvolvementinbreastcancer
AT hidalgomirandaalfredo identificationandpathwayanalysisofmicrornaswithnopreviousinvolvementinbreastcancer