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Identification of genes and pathways involved in malignant pleural mesothelioma using bioinformatics methods
BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare tumor in the pleura. This study was carried out to identify key genes and pathways that may be involved in MPM. METHODS: Microarray datasets GSE51024 and GSE2549 were analyzed for differentially expressed genes (DEGs) between normal and MPM...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045401/ https://www.ncbi.nlm.nih.gov/pubmed/33849532 http://dx.doi.org/10.1186/s12920-021-00954-7 |
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author | Liu, Xingsheng Qian, Kun Lu, Gaojun Chen, Peng Zhang, Yi |
author_facet | Liu, Xingsheng Qian, Kun Lu, Gaojun Chen, Peng Zhang, Yi |
author_sort | Liu, Xingsheng |
collection | PubMed |
description | BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare tumor in the pleura. This study was carried out to identify key genes and pathways that may be involved in MPM. METHODS: Microarray datasets GSE51024 and GSE2549 were analyzed for differentially expressed genes (DEGs) between normal and MPM tissues. The identified DEGs were subjected to functional analyses using bioinformatics tools. RESULTS: A total of 276 DEGs were identified, consisting of 187 downregulated and 79 upregulated genes. Gene ontology and Kyoto encyclopedia of genes and genomes pathway enrichment analysis indicated that the DEGs were enriched in extracellular structure organization, extracellular matrix, and ECM−receptor interaction. Due to high degree of connectivity among 24 hub genes, EZH2 and HMMR are likely to play roles in the carcinogenesis and progression of MPM. The two genes were found over-expressed in MPM tissues. Patients with elevated EZH2 and HMMR expressions had poor overall survival. CONCLUSIONS: EZH2 and HMMR are identified to be the hub genes for MPM and they may be further characterized to better understand the molecular mechanisms underlying the carcinogenesis of MPM. |
format | Online Article Text |
id | pubmed-8045401 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-80454012021-04-14 Identification of genes and pathways involved in malignant pleural mesothelioma using bioinformatics methods Liu, Xingsheng Qian, Kun Lu, Gaojun Chen, Peng Zhang, Yi BMC Med Genomics Research Article BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare tumor in the pleura. This study was carried out to identify key genes and pathways that may be involved in MPM. METHODS: Microarray datasets GSE51024 and GSE2549 were analyzed for differentially expressed genes (DEGs) between normal and MPM tissues. The identified DEGs were subjected to functional analyses using bioinformatics tools. RESULTS: A total of 276 DEGs were identified, consisting of 187 downregulated and 79 upregulated genes. Gene ontology and Kyoto encyclopedia of genes and genomes pathway enrichment analysis indicated that the DEGs were enriched in extracellular structure organization, extracellular matrix, and ECM−receptor interaction. Due to high degree of connectivity among 24 hub genes, EZH2 and HMMR are likely to play roles in the carcinogenesis and progression of MPM. The two genes were found over-expressed in MPM tissues. Patients with elevated EZH2 and HMMR expressions had poor overall survival. CONCLUSIONS: EZH2 and HMMR are identified to be the hub genes for MPM and they may be further characterized to better understand the molecular mechanisms underlying the carcinogenesis of MPM. BioMed Central 2021-04-13 /pmc/articles/PMC8045401/ /pubmed/33849532 http://dx.doi.org/10.1186/s12920-021-00954-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Article Liu, Xingsheng Qian, Kun Lu, Gaojun Chen, Peng Zhang, Yi Identification of genes and pathways involved in malignant pleural mesothelioma using bioinformatics methods |
title | Identification of genes and pathways involved in malignant pleural mesothelioma using bioinformatics methods |
title_full | Identification of genes and pathways involved in malignant pleural mesothelioma using bioinformatics methods |
title_fullStr | Identification of genes and pathways involved in malignant pleural mesothelioma using bioinformatics methods |
title_full_unstemmed | Identification of genes and pathways involved in malignant pleural mesothelioma using bioinformatics methods |
title_short | Identification of genes and pathways involved in malignant pleural mesothelioma using bioinformatics methods |
title_sort | identification of genes and pathways involved in malignant pleural mesothelioma using bioinformatics methods |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8045401/ https://www.ncbi.nlm.nih.gov/pubmed/33849532 http://dx.doi.org/10.1186/s12920-021-00954-7 |
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