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Bioinformatic analysis reveals MIR502 as a potential tumour suppressor in ovarian cancer
BACKGROUND: Ovarian cancer (OC) is a major cause of death among women due to the lack of early screening methods and its complex pathological progression. Increasing evidence has indicated that microRNAs regulate gene expression in tumours by interacting with mRNAs. Although the research regarding O...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359466/ https://www.ncbi.nlm.nih.gov/pubmed/32660514 http://dx.doi.org/10.1186/s13048-020-00683-y |
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author | Li, Yan Wang, Qi Ning, Ning Tang, Fanglan Wang, Yan |
author_facet | Li, Yan Wang, Qi Ning, Ning Tang, Fanglan Wang, Yan |
author_sort | Li, Yan |
collection | PubMed |
description | BACKGROUND: Ovarian cancer (OC) is a major cause of death among women due to the lack of early screening methods and its complex pathological progression. Increasing evidence has indicated that microRNAs regulate gene expression in tumours by interacting with mRNAs. Although the research regarding OC and microRNAs is extensive, the vital role of MIR502 in OC remains unclear. METHODS: We integrated two microRNA expression arrays from GEO to identify differentially expressed genes. The Kaplan–Meier method was used to screen for miRNAs that had an influence on survival outcome. Upstream regulators of MIR502 were predicted by JASPAR and verified by ChIP-seq data. The LinkedOmics database was used to study genes that were correlated with MIR502. Gene Set Enrichment Analysis (GSEA) was conducted for functional annotation with GO and KEGG pathway enrichment analyses by using the open access WebGestalt tool. We constructed a PPI network by using STRING to further explore the core proteins. RESULTS: We found that the expression level of MIR502 was significantly downregulated in OC, which was related to poor overall survival. NRF1, as an upstream regulator of MIR502, was predicted by JASPAR and verified by ChIP-seq data. In addition, anti-apoptosis and pro-proliferation genes in the Hippo signalling pathway, including CCND1, MYC, FGF1 and GLI2, were negatively regulated by MIR502, as shown in the GO and KEGG pathway enrichment results. The PPI network further demonstrated that CCND1 and MYCN were at core positions in the development of ovarian cancer. CONCLUSIONS: MIR502, which is regulated by NRF1, acts as a tumour suppressor gene to accelerate apoptosis and suppress proliferation by targeting the Hippo signalling pathway in ovarian cancer. |
format | Online Article Text |
id | pubmed-7359466 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73594662020-07-17 Bioinformatic analysis reveals MIR502 as a potential tumour suppressor in ovarian cancer Li, Yan Wang, Qi Ning, Ning Tang, Fanglan Wang, Yan J Ovarian Res Research BACKGROUND: Ovarian cancer (OC) is a major cause of death among women due to the lack of early screening methods and its complex pathological progression. Increasing evidence has indicated that microRNAs regulate gene expression in tumours by interacting with mRNAs. Although the research regarding OC and microRNAs is extensive, the vital role of MIR502 in OC remains unclear. METHODS: We integrated two microRNA expression arrays from GEO to identify differentially expressed genes. The Kaplan–Meier method was used to screen for miRNAs that had an influence on survival outcome. Upstream regulators of MIR502 were predicted by JASPAR and verified by ChIP-seq data. The LinkedOmics database was used to study genes that were correlated with MIR502. Gene Set Enrichment Analysis (GSEA) was conducted for functional annotation with GO and KEGG pathway enrichment analyses by using the open access WebGestalt tool. We constructed a PPI network by using STRING to further explore the core proteins. RESULTS: We found that the expression level of MIR502 was significantly downregulated in OC, which was related to poor overall survival. NRF1, as an upstream regulator of MIR502, was predicted by JASPAR and verified by ChIP-seq data. In addition, anti-apoptosis and pro-proliferation genes in the Hippo signalling pathway, including CCND1, MYC, FGF1 and GLI2, were negatively regulated by MIR502, as shown in the GO and KEGG pathway enrichment results. The PPI network further demonstrated that CCND1 and MYCN were at core positions in the development of ovarian cancer. CONCLUSIONS: MIR502, which is regulated by NRF1, acts as a tumour suppressor gene to accelerate apoptosis and suppress proliferation by targeting the Hippo signalling pathway in ovarian cancer. BioMed Central 2020-07-13 /pmc/articles/PMC7359466/ /pubmed/32660514 http://dx.doi.org/10.1186/s13048-020-00683-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Li, Yan Wang, Qi Ning, Ning Tang, Fanglan Wang, Yan Bioinformatic analysis reveals MIR502 as a potential tumour suppressor in ovarian cancer |
title | Bioinformatic analysis reveals MIR502 as a potential tumour suppressor in ovarian cancer |
title_full | Bioinformatic analysis reveals MIR502 as a potential tumour suppressor in ovarian cancer |
title_fullStr | Bioinformatic analysis reveals MIR502 as a potential tumour suppressor in ovarian cancer |
title_full_unstemmed | Bioinformatic analysis reveals MIR502 as a potential tumour suppressor in ovarian cancer |
title_short | Bioinformatic analysis reveals MIR502 as a potential tumour suppressor in ovarian cancer |
title_sort | bioinformatic analysis reveals mir502 as a potential tumour suppressor in ovarian cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7359466/ https://www.ncbi.nlm.nih.gov/pubmed/32660514 http://dx.doi.org/10.1186/s13048-020-00683-y |
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