Cargando…
Comprehensive Analysis of lncRNA and miRNA Regulatory Network Reveals Potential Prognostic Non-coding RNA Involved in Breast Cancer Progression
Breast cancer is one of the most common malignant tumors in women and is the second leading cause of cancer deaths among women. The tumorigenesis and progression of breast cancer are not well understood. The existing researches have indicated that non-coding RNAs, which mainly include long non-codin...
Autores principales: | , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253500/ https://www.ncbi.nlm.nih.gov/pubmed/34220926 http://dx.doi.org/10.3389/fgene.2021.621809 |
_version_ | 1783717526974234624 |
---|---|
author | Gao, Sheng Lu, Xun Ma, Jingjing Zhou, Qian Tang, RanRan Fu, Ziyi Wang, Fengliang Lv, Mingming Lu, Cheng |
author_facet | Gao, Sheng Lu, Xun Ma, Jingjing Zhou, Qian Tang, RanRan Fu, Ziyi Wang, Fengliang Lv, Mingming Lu, Cheng |
author_sort | Gao, Sheng |
collection | PubMed |
description | Breast cancer is one of the most common malignant tumors in women and is the second leading cause of cancer deaths among women. The tumorigenesis and progression of breast cancer are not well understood. The existing researches have indicated that non-coding RNAs, which mainly include long non-coding RNA (lncRNA) and microRNA (miRNA), have gradually become important regulators of breast cancer. We aimed to screen the differential expression of miRNA and lncRNA in the different breast cancer stages and identify the key non-coding RNA using TCGA data. Based on series test of cluster (STC) analysis, bioinformatics analysis, and negatively correlated relationships, 122 lncRNAs, 67 miRNAs, and 119 mRNAs were selected to construct the regulatory network of lncRNA and miRNA. It was shown that the miR-93/20b/106a/106b family was at the center of the regulatory network. Furthermore, 6 miRNAs, 10 lncRNAs, and 15 mRNAs were significantly associated with the overall survival (OS, log-rank P < 0.05) of patients with breast cancer. Overexpressed miR-93 in MCF-7 breast cancer cells was associated with suppressed expression of multiple lncRNAs, and these downregulated lncRNAs (MESTIT1, LOC100128164, and DNMBP-AS1) were significantly associated with poor overall survival in breast cancer patients. Therefore, the miR-93/20b/106a/106b family at the core of the regulatory network discovered by our analysis above may be extremely important for the regulation of lncRNA expression and the progression of breast cancer. The identified key miRNA and lncRNA will enhance the understanding of molecular mechanisms of breast cancer progression. Targeting these key non-coding RNA may provide new therapeutic strategies for breast cancer treatment and may prevent the progression of breast cancer from an early stage to an advanced stage. |
format | Online Article Text |
id | pubmed-8253500 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-82535002021-07-03 Comprehensive Analysis of lncRNA and miRNA Regulatory Network Reveals Potential Prognostic Non-coding RNA Involved in Breast Cancer Progression Gao, Sheng Lu, Xun Ma, Jingjing Zhou, Qian Tang, RanRan Fu, Ziyi Wang, Fengliang Lv, Mingming Lu, Cheng Front Genet Genetics Breast cancer is one of the most common malignant tumors in women and is the second leading cause of cancer deaths among women. The tumorigenesis and progression of breast cancer are not well understood. The existing researches have indicated that non-coding RNAs, which mainly include long non-coding RNA (lncRNA) and microRNA (miRNA), have gradually become important regulators of breast cancer. We aimed to screen the differential expression of miRNA and lncRNA in the different breast cancer stages and identify the key non-coding RNA using TCGA data. Based on series test of cluster (STC) analysis, bioinformatics analysis, and negatively correlated relationships, 122 lncRNAs, 67 miRNAs, and 119 mRNAs were selected to construct the regulatory network of lncRNA and miRNA. It was shown that the miR-93/20b/106a/106b family was at the center of the regulatory network. Furthermore, 6 miRNAs, 10 lncRNAs, and 15 mRNAs were significantly associated with the overall survival (OS, log-rank P < 0.05) of patients with breast cancer. Overexpressed miR-93 in MCF-7 breast cancer cells was associated with suppressed expression of multiple lncRNAs, and these downregulated lncRNAs (MESTIT1, LOC100128164, and DNMBP-AS1) were significantly associated with poor overall survival in breast cancer patients. Therefore, the miR-93/20b/106a/106b family at the core of the regulatory network discovered by our analysis above may be extremely important for the regulation of lncRNA expression and the progression of breast cancer. The identified key miRNA and lncRNA will enhance the understanding of molecular mechanisms of breast cancer progression. Targeting these key non-coding RNA may provide new therapeutic strategies for breast cancer treatment and may prevent the progression of breast cancer from an early stage to an advanced stage. Frontiers Media S.A. 2021-06-18 /pmc/articles/PMC8253500/ /pubmed/34220926 http://dx.doi.org/10.3389/fgene.2021.621809 Text en Copyright © 2021 Gao, Lu, Ma, Zhou, Tang, Fu, Wang, Lv and Lu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Genetics Gao, Sheng Lu, Xun Ma, Jingjing Zhou, Qian Tang, RanRan Fu, Ziyi Wang, Fengliang Lv, Mingming Lu, Cheng Comprehensive Analysis of lncRNA and miRNA Regulatory Network Reveals Potential Prognostic Non-coding RNA Involved in Breast Cancer Progression |
title | Comprehensive Analysis of lncRNA and miRNA Regulatory Network Reveals Potential Prognostic Non-coding RNA Involved in Breast Cancer Progression |
title_full | Comprehensive Analysis of lncRNA and miRNA Regulatory Network Reveals Potential Prognostic Non-coding RNA Involved in Breast Cancer Progression |
title_fullStr | Comprehensive Analysis of lncRNA and miRNA Regulatory Network Reveals Potential Prognostic Non-coding RNA Involved in Breast Cancer Progression |
title_full_unstemmed | Comprehensive Analysis of lncRNA and miRNA Regulatory Network Reveals Potential Prognostic Non-coding RNA Involved in Breast Cancer Progression |
title_short | Comprehensive Analysis of lncRNA and miRNA Regulatory Network Reveals Potential Prognostic Non-coding RNA Involved in Breast Cancer Progression |
title_sort | comprehensive analysis of lncrna and mirna regulatory network reveals potential prognostic non-coding rna involved in breast cancer progression |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8253500/ https://www.ncbi.nlm.nih.gov/pubmed/34220926 http://dx.doi.org/10.3389/fgene.2021.621809 |
work_keys_str_mv | AT gaosheng comprehensiveanalysisoflncrnaandmirnaregulatorynetworkrevealspotentialprognosticnoncodingrnainvolvedinbreastcancerprogression AT luxun comprehensiveanalysisoflncrnaandmirnaregulatorynetworkrevealspotentialprognosticnoncodingrnainvolvedinbreastcancerprogression AT majingjing comprehensiveanalysisoflncrnaandmirnaregulatorynetworkrevealspotentialprognosticnoncodingrnainvolvedinbreastcancerprogression AT zhouqian comprehensiveanalysisoflncrnaandmirnaregulatorynetworkrevealspotentialprognosticnoncodingrnainvolvedinbreastcancerprogression AT tangranran comprehensiveanalysisoflncrnaandmirnaregulatorynetworkrevealspotentialprognosticnoncodingrnainvolvedinbreastcancerprogression AT fuziyi comprehensiveanalysisoflncrnaandmirnaregulatorynetworkrevealspotentialprognosticnoncodingrnainvolvedinbreastcancerprogression AT wangfengliang comprehensiveanalysisoflncrnaandmirnaregulatorynetworkrevealspotentialprognosticnoncodingrnainvolvedinbreastcancerprogression AT lvmingming comprehensiveanalysisoflncrnaandmirnaregulatorynetworkrevealspotentialprognosticnoncodingrnainvolvedinbreastcancerprogression AT lucheng comprehensiveanalysisoflncrnaandmirnaregulatorynetworkrevealspotentialprognosticnoncodingrnainvolvedinbreastcancerprogression |