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Identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis
Patients with lymphoma are at high risk of developing venous thromboembolism (VTE). The purpose of the present study was to identify the target gene associated with VTE for patients with lymphoma. Microarray data was downloaded from the gene expression omnibus database (GSE17078), which comprised th...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5588007/ https://www.ncbi.nlm.nih.gov/pubmed/28927082 http://dx.doi.org/10.3892/ol.2017.6625 |
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author | Liu, Pengfei Jiang, Wenhua Zhang, Huilai |
author_facet | Liu, Pengfei Jiang, Wenhua Zhang, Huilai |
author_sort | Liu, Pengfei |
collection | PubMed |
description | Patients with lymphoma are at high risk of developing venous thromboembolism (VTE). The purpose of the present study was to identify the target gene associated with VTE for patients with lymphoma. Microarray data was downloaded from the gene expression omnibus database (GSE17078), which comprised the control group, 27 normal blood outgrowth endothelial cell (BOEC) samples, and the case group, 3 BOEC samples of venous thrombosis with protein C deficiency. Differentially expressed genes (DEGs) were identified by the Limma package of R. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed via the database for annotation, visualization and integrated discovery. Differentially coexpressed pairs were identified by the DCGL package of R. The subsequent protein-protein interaction (PPI) networks and gene coexpression networks were constructed by the Search Tool for the Retrieval of Interacting Genes/Proteins database, and were visualized by Cytoscape software. A total of 110 DEGs were obtained, including 73 upregulated and 37 downregulated genes. GO and KEGG pathway enrichment analyses identified 132 significant GO terms and 9 significant KEGG pathways. In total, 97 PPI pairs for PPI network and 309 differential coexpression pairs for the gene coexpression network were obtained. Additionally, the connective tissue growth factor (CTGF) gene was closely connected with other genes in the two networks. A total of 2 KEGG pathways were associated with VTE and CTGF may be the target gene of VTE in patients with lymphoma. The present study may identify the molecular mechanism of VTE, but additional clinical study is required to validate the results. |
format | Online Article Text |
id | pubmed-5588007 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-55880072017-09-18 Identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis Liu, Pengfei Jiang, Wenhua Zhang, Huilai Oncol Lett Articles Patients with lymphoma are at high risk of developing venous thromboembolism (VTE). The purpose of the present study was to identify the target gene associated with VTE for patients with lymphoma. Microarray data was downloaded from the gene expression omnibus database (GSE17078), which comprised the control group, 27 normal blood outgrowth endothelial cell (BOEC) samples, and the case group, 3 BOEC samples of venous thrombosis with protein C deficiency. Differentially expressed genes (DEGs) were identified by the Limma package of R. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway analyses were performed via the database for annotation, visualization and integrated discovery. Differentially coexpressed pairs were identified by the DCGL package of R. The subsequent protein-protein interaction (PPI) networks and gene coexpression networks were constructed by the Search Tool for the Retrieval of Interacting Genes/Proteins database, and were visualized by Cytoscape software. A total of 110 DEGs were obtained, including 73 upregulated and 37 downregulated genes. GO and KEGG pathway enrichment analyses identified 132 significant GO terms and 9 significant KEGG pathways. In total, 97 PPI pairs for PPI network and 309 differential coexpression pairs for the gene coexpression network were obtained. Additionally, the connective tissue growth factor (CTGF) gene was closely connected with other genes in the two networks. A total of 2 KEGG pathways were associated with VTE and CTGF may be the target gene of VTE in patients with lymphoma. The present study may identify the molecular mechanism of VTE, but additional clinical study is required to validate the results. D.A. Spandidos 2017-09 2017-07-20 /pmc/articles/PMC5588007/ /pubmed/28927082 http://dx.doi.org/10.3892/ol.2017.6625 Text en Copyright: © Liu 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 Liu, Pengfei Jiang, Wenhua Zhang, Huilai Identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis |
title | Identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis |
title_full | Identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis |
title_fullStr | Identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis |
title_full_unstemmed | Identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis |
title_short | Identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis |
title_sort | identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5588007/ https://www.ncbi.nlm.nih.gov/pubmed/28927082 http://dx.doi.org/10.3892/ol.2017.6625 |
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