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Construction of an mRNA-miRNA-lncRNA network prognostic for triple-negative breast cancer
The aim of this study was to establish a novel competing endogenous RNA (ceRNA) network able to predict prognosis in patients with triple-negative breast cancer (TNBC). Differential gene expression analysis was performed using the GEO2R tool. Enrichr and STRING were used to conduct protein-protein i...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835059/ https://www.ncbi.nlm.nih.gov/pubmed/33428596 http://dx.doi.org/10.18632/aging.202254 |
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author | Huang, Yuan Wang, Xiaowei Zheng, Yiran Chen, Wei Zheng, Yabing Li, Guangliang Lou, Weiyang Wang, Xiaojia |
author_facet | Huang, Yuan Wang, Xiaowei Zheng, Yiran Chen, Wei Zheng, Yabing Li, Guangliang Lou, Weiyang Wang, Xiaojia |
author_sort | Huang, Yuan |
collection | PubMed |
description | The aim of this study was to establish a novel competing endogenous RNA (ceRNA) network able to predict prognosis in patients with triple-negative breast cancer (TNBC). Differential gene expression analysis was performed using the GEO2R tool. Enrichr and STRING were used to conduct protein-protein interaction and pathway enrichment analyses, respectively. Upstream lncRNAs and miRNAs were identified using miRNet and mirTarBase, respectively. Prognostic values, expression, and correlational relationships of mRNAs, lncRNAs, and miRNAs were examined using GEPIA, starBase, and Kaplan-Meier plotter. It total, 860 upregulated and 622 downregulated differentially expressed mRNAs were identified in TNBC. Ten overexpressed and two underexpressed hub genes were screened. Next, 10 key miRNAs upstream of these key hub genes were predicted, of which six upregulated miRNAs were significantly associated with poor prognosis and four downregulated miRNAs were associated with good prognosis in TNBC. NEAT1 and MAL2 were selected as key lncRNAs. An mRNA-miRNA-lncRNA network in TNBC was constructed. Thus, we successfully established a novel mRNA-miRNA-lncRNA regulatory network, each component of which is prognostic for TNBC. |
format | Online Article Text |
id | pubmed-7835059 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-78350592021-02-03 Construction of an mRNA-miRNA-lncRNA network prognostic for triple-negative breast cancer Huang, Yuan Wang, Xiaowei Zheng, Yiran Chen, Wei Zheng, Yabing Li, Guangliang Lou, Weiyang Wang, Xiaojia Aging (Albany NY) Research Paper The aim of this study was to establish a novel competing endogenous RNA (ceRNA) network able to predict prognosis in patients with triple-negative breast cancer (TNBC). Differential gene expression analysis was performed using the GEO2R tool. Enrichr and STRING were used to conduct protein-protein interaction and pathway enrichment analyses, respectively. Upstream lncRNAs and miRNAs were identified using miRNet and mirTarBase, respectively. Prognostic values, expression, and correlational relationships of mRNAs, lncRNAs, and miRNAs were examined using GEPIA, starBase, and Kaplan-Meier plotter. It total, 860 upregulated and 622 downregulated differentially expressed mRNAs were identified in TNBC. Ten overexpressed and two underexpressed hub genes were screened. Next, 10 key miRNAs upstream of these key hub genes were predicted, of which six upregulated miRNAs were significantly associated with poor prognosis and four downregulated miRNAs were associated with good prognosis in TNBC. NEAT1 and MAL2 were selected as key lncRNAs. An mRNA-miRNA-lncRNA network in TNBC was constructed. Thus, we successfully established a novel mRNA-miRNA-lncRNA regulatory network, each component of which is prognostic for TNBC. Impact Journals 2021-01-03 /pmc/articles/PMC7835059/ /pubmed/33428596 http://dx.doi.org/10.18632/aging.202254 Text en Copyright: © 2020 Huang et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/3.0/) (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Huang, Yuan Wang, Xiaowei Zheng, Yiran Chen, Wei Zheng, Yabing Li, Guangliang Lou, Weiyang Wang, Xiaojia Construction of an mRNA-miRNA-lncRNA network prognostic for triple-negative breast cancer |
title | Construction of an mRNA-miRNA-lncRNA network prognostic for triple-negative breast cancer |
title_full | Construction of an mRNA-miRNA-lncRNA network prognostic for triple-negative breast cancer |
title_fullStr | Construction of an mRNA-miRNA-lncRNA network prognostic for triple-negative breast cancer |
title_full_unstemmed | Construction of an mRNA-miRNA-lncRNA network prognostic for triple-negative breast cancer |
title_short | Construction of an mRNA-miRNA-lncRNA network prognostic for triple-negative breast cancer |
title_sort | construction of an mrna-mirna-lncrna network prognostic for triple-negative breast cancer |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7835059/ https://www.ncbi.nlm.nih.gov/pubmed/33428596 http://dx.doi.org/10.18632/aging.202254 |
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