PO-73 Prevalence of cancer and congenital thrombophilia in 435 patients with acute venous thromboembolism (VTE)

Achkar, A.; Horellou, M.H.; Leclercq, X.; Lambert, Y.; Conard, J; Laaban, J. P.; Samama, Meyer-Michel

doi:10.1016/s0049-3848(07)70226-8

Cited by 2 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Although some risk factors such as the site of cancer, platelet count, level of hemoglobin, leukocyte count and body mass index have been proposed, genetic risk factors should also be investigated ( 13 ). To date, a small number of studies have evaluated congenital thrombophilia in patients with lymphoma ( 14 , 15 ). A previous study found that there was an increased risk of venous thrombosis in patients with cancer and demonstrated that patients possessing the Factor V Leiden mutation exhibited a 12-fold increase of thrombosis, whilst patients without this mutation only had 5-fold increase ( 10 ).…”

Section: Introductionmentioning

confidence: 99%

Identification of target gene of venous thromboembolism in patients with lymphoma via microarray analysis

2017

View full text Add to dashboard Cite

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.

show abstract