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Bioinformatic analysis reveals hub genes and pathways that promote melanoma metastasis

BACKGROUND: Melanoma has the highest mortality rate of all skin tumors, and metastases are the major cause of death from it. The molecular mechanism leading to melanoma metastasis is currently unclear. METHODS: With the goal of revealing the underlying mechanism, three data sets with accession numbe...

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Autores principales: Su, Wenxing, Guan, Yi, Huang, Biao, Wang, Juanjuan, Wei, Yuqian, Zhao, Ying, Jiao, Qingqing, Ji, Jiang, Yu, Daojiang, Xu, Longjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487637/
https://www.ncbi.nlm.nih.gov/pubmed/32894090
http://dx.doi.org/10.1186/s12885-020-07372-5
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author Su, Wenxing
Guan, Yi
Huang, Biao
Wang, Juanjuan
Wei, Yuqian
Zhao, Ying
Jiao, Qingqing
Ji, Jiang
Yu, Daojiang
Xu, Longjiang
author_facet Su, Wenxing
Guan, Yi
Huang, Biao
Wang, Juanjuan
Wei, Yuqian
Zhao, Ying
Jiao, Qingqing
Ji, Jiang
Yu, Daojiang
Xu, Longjiang
author_sort Su, Wenxing
collection PubMed
description BACKGROUND: Melanoma has the highest mortality rate of all skin tumors, and metastases are the major cause of death from it. The molecular mechanism leading to melanoma metastasis is currently unclear. METHODS: With the goal of revealing the underlying mechanism, three data sets with accession numbers GSE8401, GSE46517 and GSE7956 were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the differentially expressed gene (DEG) of primary melanoma and metastatic melanoma, three kinds of analyses were performed, namely functional annotation, protein-protein interaction (PPI) network and module construction, and co-expression and drug-gene interaction prediction analysis. RESULTS: A total of 41 up-regulated genes and 79 down-regulated genes was selected for subsequent analyses. Results of pathway enrichment analysis showed that extracellular matrix organization and proteoglycans in cancer are closely related to melanoma metastasis. In addition, seven pivotal genes were identified from PPI network, including CXCL8, THBS1, COL3A1, TIMP3, KIT, DCN, and IGFBP5, which have all been verified in the TCGA database and clinical specimens, but only CXCL8, THBS1 and KIT had significant differences in expression. CONCLUSIONS: To conclude, CXCL8, THBS1 and KIT may be the hub genes in the metastasis of melanoma and thus may be regarded as therapeutic targets in the future.
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spelling pubmed-74876372020-09-16 Bioinformatic analysis reveals hub genes and pathways that promote melanoma metastasis Su, Wenxing Guan, Yi Huang, Biao Wang, Juanjuan Wei, Yuqian Zhao, Ying Jiao, Qingqing Ji, Jiang Yu, Daojiang Xu, Longjiang BMC Cancer Research Article BACKGROUND: Melanoma has the highest mortality rate of all skin tumors, and metastases are the major cause of death from it. The molecular mechanism leading to melanoma metastasis is currently unclear. METHODS: With the goal of revealing the underlying mechanism, three data sets with accession numbers GSE8401, GSE46517 and GSE7956 were downloaded from the Gene Expression Omnibus (GEO) database. After identifying the differentially expressed gene (DEG) of primary melanoma and metastatic melanoma, three kinds of analyses were performed, namely functional annotation, protein-protein interaction (PPI) network and module construction, and co-expression and drug-gene interaction prediction analysis. RESULTS: A total of 41 up-regulated genes and 79 down-regulated genes was selected for subsequent analyses. Results of pathway enrichment analysis showed that extracellular matrix organization and proteoglycans in cancer are closely related to melanoma metastasis. In addition, seven pivotal genes were identified from PPI network, including CXCL8, THBS1, COL3A1, TIMP3, KIT, DCN, and IGFBP5, which have all been verified in the TCGA database and clinical specimens, but only CXCL8, THBS1 and KIT had significant differences in expression. CONCLUSIONS: To conclude, CXCL8, THBS1 and KIT may be the hub genes in the metastasis of melanoma and thus may be regarded as therapeutic targets in the future. BioMed Central 2020-09-07 /pmc/articles/PMC7487637/ /pubmed/32894090 http://dx.doi.org/10.1186/s12885-020-07372-5 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 Article
Su, Wenxing
Guan, Yi
Huang, Biao
Wang, Juanjuan
Wei, Yuqian
Zhao, Ying
Jiao, Qingqing
Ji, Jiang
Yu, Daojiang
Xu, Longjiang
Bioinformatic analysis reveals hub genes and pathways that promote melanoma metastasis
title Bioinformatic analysis reveals hub genes and pathways that promote melanoma metastasis
title_full Bioinformatic analysis reveals hub genes and pathways that promote melanoma metastasis
title_fullStr Bioinformatic analysis reveals hub genes and pathways that promote melanoma metastasis
title_full_unstemmed Bioinformatic analysis reveals hub genes and pathways that promote melanoma metastasis
title_short Bioinformatic analysis reveals hub genes and pathways that promote melanoma metastasis
title_sort bioinformatic analysis reveals hub genes and pathways that promote melanoma metastasis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7487637/
https://www.ncbi.nlm.nih.gov/pubmed/32894090
http://dx.doi.org/10.1186/s12885-020-07372-5
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