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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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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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 |
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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 |
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