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MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer
MicroRNAs, which are small endogenous RNA regulators, have been associated with various types of cancer. Breast cancer is a major health threat for women worldwide. Many miRNAs were reported to be associated with the progression and carcinogenesis of breast cancer. In this study, we aimed to discove...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3709748/ https://www.ncbi.nlm.nih.gov/pubmed/23722663 http://dx.doi.org/10.3390/ijms140611560 |
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author | Lee, Chia-Hsien Kuo, Wen-Hong Lin, Chen-Ching Oyang, Yen-Jen Huang, Hsuan-Cheng Juan, Hsueh-Fen |
author_facet | Lee, Chia-Hsien Kuo, Wen-Hong Lin, Chen-Ching Oyang, Yen-Jen Huang, Hsuan-Cheng Juan, Hsueh-Fen |
author_sort | Lee, Chia-Hsien |
collection | PubMed |
description | MicroRNAs, which are small endogenous RNA regulators, have been associated with various types of cancer. Breast cancer is a major health threat for women worldwide. Many miRNAs were reported to be associated with the progression and carcinogenesis of breast cancer. In this study, we aimed to discover novel breast cancer-related miRNAs and to elucidate their functions. First, we identified confident miRNA-target pairs by combining data from miRNA target prediction databases and expression profiles of miRNA and mRNA. Then, miRNA-regulated protein interaction networks (PINs) were constructed with confident pairs and known interaction data in the human protein reference database (HPRD). Finally, the functions of miRNA-regulated PINs were elucidated by functional enrichment analysis. From the results, we identified some previously reported breast cancer-related miRNAs and functions of the PINs, e.g., miR-125b, miR-125a, miR-21, and miR-497. Some novel miRNAs without known association to breast cancer were also found, and the putative functions of their PINs were also elucidated. These include miR-139 and miR-383. Furthermore, we validated our results by receiver operating characteristic (ROC) curve analysis using our miRNA expression profile data, gene expression-based outcome for breast cancer online (GOBO) survival analysis, and a literature search. Our results may provide new insights for research in breast cancer-associated miRNAs. |
format | Online Article Text |
id | pubmed-3709748 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-37097482013-07-12 MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer Lee, Chia-Hsien Kuo, Wen-Hong Lin, Chen-Ching Oyang, Yen-Jen Huang, Hsuan-Cheng Juan, Hsueh-Fen Int J Mol Sci Article MicroRNAs, which are small endogenous RNA regulators, have been associated with various types of cancer. Breast cancer is a major health threat for women worldwide. Many miRNAs were reported to be associated with the progression and carcinogenesis of breast cancer. In this study, we aimed to discover novel breast cancer-related miRNAs and to elucidate their functions. First, we identified confident miRNA-target pairs by combining data from miRNA target prediction databases and expression profiles of miRNA and mRNA. Then, miRNA-regulated protein interaction networks (PINs) were constructed with confident pairs and known interaction data in the human protein reference database (HPRD). Finally, the functions of miRNA-regulated PINs were elucidated by functional enrichment analysis. From the results, we identified some previously reported breast cancer-related miRNAs and functions of the PINs, e.g., miR-125b, miR-125a, miR-21, and miR-497. Some novel miRNAs without known association to breast cancer were also found, and the putative functions of their PINs were also elucidated. These include miR-139 and miR-383. Furthermore, we validated our results by receiver operating characteristic (ROC) curve analysis using our miRNA expression profile data, gene expression-based outcome for breast cancer online (GOBO) survival analysis, and a literature search. Our results may provide new insights for research in breast cancer-associated miRNAs. Molecular Diversity Preservation International (MDPI) 2013-05-30 /pmc/articles/PMC3709748/ /pubmed/23722663 http://dx.doi.org/10.3390/ijms140611560 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Lee, Chia-Hsien Kuo, Wen-Hong Lin, Chen-Ching Oyang, Yen-Jen Huang, Hsuan-Cheng Juan, Hsueh-Fen MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer |
title | MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer |
title_full | MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer |
title_fullStr | MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer |
title_full_unstemmed | MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer |
title_short | MicroRNA-Regulated Protein-Protein Interaction Networks and Their Functions in Breast Cancer |
title_sort | microrna-regulated protein-protein interaction networks and their functions in breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3709748/ https://www.ncbi.nlm.nih.gov/pubmed/23722663 http://dx.doi.org/10.3390/ijms140611560 |
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