Liu Pengfei, Jiang Wenhua, Zhang Huilai
Department of Lymphoma, Sino-US Center of Lymphoma and Leukemia, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin 300060, P.R. China.
Department of Radiotherapy, Second Hospital of Tianjin Medical University, Tianjin 300211, P.R. China.
Oncol Lett. 2017 Sep;14(3):3313-3318. doi: 10.3892/ol.2017.6625. Epub 2017 Jul 20.
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 () gene was closely connected with other genes in the two networks. A total of 2 KEGG pathways were associated with VTE and 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.
淋巴瘤患者发生静脉血栓栓塞（VTE）的风险很高。本研究的目的是确定淋巴瘤患者中与VTE相关的靶基因。从基因表达综合数据库（GSE17078）下载微阵列数据，该数据库包括对照组（27个正常血液衍生内皮细胞（BOEC）样本）和病例组（3个伴有蛋白C缺乏的静脉血栓形成的BOEC样本）。通过R语言的Limma软件包鉴定差异表达基因（DEG）。通过注释、可视化和综合发现数据库进行基因本体（GO）和京都基因与基因组百科全书（KEGG）通路分析。通过R语言的DCGL软件包鉴定差异共表达对。随后通过检索相互作用基因/蛋白质数据库的搜索工具构建蛋白质-蛋白质相互作用（PPI）网络和基因共表达网络，并通过Cytoscape软件进行可视化。共获得110个DEG，包括73个上调基因和37个下调基因。GO和KEGG通路富集分析确定了132个显著的GO术语和9条显著的KEGG通路。总共获得了PPI网络的97个PPI对和基因共表达网络的309个差异共表达对。此外，结缔组织生长因子（）基因在两个网络中与其他基因紧密相连。共有2条KEGG通路与VTE相关， 可能是淋巴瘤患者VTE的靶基因。本研究可能确定了VTE的分子机制，但需要进一步的临床研究来验证结果。
