Cargando…

Bioinformatics analysis of Ewing's sarcoma: Seeking key candidate genes and pathways

Ewing's sarcoma (ES) is the second most common bone tumor among children and adolescents worldwide. However, the genes and signaling pathways involved in ES tumorigenesis and progression remain unclear. The present study used two gene-expression profile datasets (GSE17674 and GSE31215) to eluci...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Jinming, Zhang, Yao, Li, Ze, Wu, Hongzeng, Xun, Jianjun, Feng, Helin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865160/
https://www.ncbi.nlm.nih.gov/pubmed/31788075
http://dx.doi.org/10.3892/ol.2019.10936
_version_ 1783472034493235200
author Zhang, Jinming
Zhang, Yao
Li, Ze
Wu, Hongzeng
Xun, Jianjun
Feng, Helin
author_facet Zhang, Jinming
Zhang, Yao
Li, Ze
Wu, Hongzeng
Xun, Jianjun
Feng, Helin
author_sort Zhang, Jinming
collection PubMed
description Ewing's sarcoma (ES) is the second most common bone tumor among children and adolescents worldwide. However, the genes and signaling pathways involved in ES tumorigenesis and progression remain unclear. The present study used two gene-expression profile datasets (GSE17674 and GSE31215) to elucidate key potential candidate genes and pathways in ES. Differentially expressed genes (DEGs) were identified and a functional enrichment analysis was performed. A protein-protein interaction (PPI) network was constructed, and the most significant module in the PPI network was selected from the Search Tool for the Retrieval of Interacting Genes/Proteins database. A total of 278 genes were identified by comparing the tumor samples with non-cancerous samples; these included 272 upregulated and 6 downregulated genes. The pathway analysis demonstrated significant enrichment in the positive regulation of transcription in the DEGs coding for RNA polymerase II promoter, plasma membrane and chromatin binding pathways in cancer in general. There were 269 nodes and 292 edges in the PPI network. Finally, MYC, IGF1, OAS1, EZH2 and ISG15 were identified as the hub genes according to the degree levels. The survival analysis revealed that EZH2 is associated with a poor prognosis in patients with ES. In conclusion, the DEGs, associated pathways and hub genes identified in the present study help elucidate the underlying molecular mechanisms of ES carcinogenesis and progression, and provide potential molecular targets and biomarkers for ES.
format Online
Article
Text
id pubmed-6865160
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-68651602019-11-30 Bioinformatics analysis of Ewing's sarcoma: Seeking key candidate genes and pathways Zhang, Jinming Zhang, Yao Li, Ze Wu, Hongzeng Xun, Jianjun Feng, Helin Oncol Lett Articles Ewing's sarcoma (ES) is the second most common bone tumor among children and adolescents worldwide. However, the genes and signaling pathways involved in ES tumorigenesis and progression remain unclear. The present study used two gene-expression profile datasets (GSE17674 and GSE31215) to elucidate key potential candidate genes and pathways in ES. Differentially expressed genes (DEGs) were identified and a functional enrichment analysis was performed. A protein-protein interaction (PPI) network was constructed, and the most significant module in the PPI network was selected from the Search Tool for the Retrieval of Interacting Genes/Proteins database. A total of 278 genes were identified by comparing the tumor samples with non-cancerous samples; these included 272 upregulated and 6 downregulated genes. The pathway analysis demonstrated significant enrichment in the positive regulation of transcription in the DEGs coding for RNA polymerase II promoter, plasma membrane and chromatin binding pathways in cancer in general. There were 269 nodes and 292 edges in the PPI network. Finally, MYC, IGF1, OAS1, EZH2 and ISG15 were identified as the hub genes according to the degree levels. The survival analysis revealed that EZH2 is associated with a poor prognosis in patients with ES. In conclusion, the DEGs, associated pathways and hub genes identified in the present study help elucidate the underlying molecular mechanisms of ES carcinogenesis and progression, and provide potential molecular targets and biomarkers for ES. D.A. Spandidos 2019-12 2019-09-30 /pmc/articles/PMC6865160/ /pubmed/31788075 http://dx.doi.org/10.3892/ol.2019.10936 Text en Copyright: © Zhang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Zhang, Jinming
Zhang, Yao
Li, Ze
Wu, Hongzeng
Xun, Jianjun
Feng, Helin
Bioinformatics analysis of Ewing's sarcoma: Seeking key candidate genes and pathways
title Bioinformatics analysis of Ewing's sarcoma: Seeking key candidate genes and pathways
title_full Bioinformatics analysis of Ewing's sarcoma: Seeking key candidate genes and pathways
title_fullStr Bioinformatics analysis of Ewing's sarcoma: Seeking key candidate genes and pathways
title_full_unstemmed Bioinformatics analysis of Ewing's sarcoma: Seeking key candidate genes and pathways
title_short Bioinformatics analysis of Ewing's sarcoma: Seeking key candidate genes and pathways
title_sort bioinformatics analysis of ewing's sarcoma: seeking key candidate genes and pathways
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6865160/
https://www.ncbi.nlm.nih.gov/pubmed/31788075
http://dx.doi.org/10.3892/ol.2019.10936
work_keys_str_mv AT zhangjinming bioinformaticsanalysisofewingssarcomaseekingkeycandidategenesandpathways
AT zhangyao bioinformaticsanalysisofewingssarcomaseekingkeycandidategenesandpathways
AT lize bioinformaticsanalysisofewingssarcomaseekingkeycandidategenesandpathways
AT wuhongzeng bioinformaticsanalysisofewingssarcomaseekingkeycandidategenesandpathways
AT xunjianjun bioinformaticsanalysisofewingssarcomaseekingkeycandidategenesandpathways
AT fenghelin bioinformaticsanalysisofewingssarcomaseekingkeycandidategenesandpathways