Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Pengfei, Jiang, Wenhua, Zhang, Huilai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
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
_version_ 1783262100335886336
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
work_keys_str_mv AT liupengfei identificationoftargetgeneofvenousthromboembolisminpatientswithlymphomaviamicroarrayanalysis
AT jiangwenhua identificationoftargetgeneofvenousthromboembolisminpatientswithlymphomaviamicroarrayanalysis
AT zhanghuilai identificationoftargetgeneofvenousthromboembolisminpatientswithlymphomaviamicroarrayanalysis