肝癌易感性相关基因的文献计量学与生物信息学分析  被引量:11

Bioinformatics and bibliometrics analysis of the key risk genes in hepatocellular carcinoma

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作  者:上官辉[1] 谭淑燕[2] 张积仁[3] 

机构地区:[1]南方医科大学附属佛山医院肿瘤内科,广东佛山528000 [2]南方医科大学附属佛山医院肝病科,广东佛山528000 [3]南方医科大学附属珠江医院肿瘤中心,广东广州510282

出  处:《中华肿瘤防治杂志》2015年第4期305-311,共7页Chinese Journal of Cancer Prevention and Treatment

摘  要:目的汇总分析肝癌易感基因研究文献,并通过生物信息学方法筛选关键基因,为进一步的研究提供参考。方法检索Embase、Pubmed和BIOSIS Preview 3大文献数据库2001-01-2014-01相关文献,基于文献挖掘的方法统计肝癌易感基因,使用生物信息学方法对于易感基因进行分析。结果纳入相关文献共708篇,研究显示近3年论文发表增长明显。文献涉及201个基因,其中不同分级的基因本体论(Gene Ontology,GO)分类741种,京都基因与基因组百科全书数据库(Kyoto Encyclopedia of Genes and Genomes,KEGG)通路66种,这些基因主要与细胞损伤修复、免疫反应、细胞周期调节、炎症反应、DNA损伤修复、凋亡和抗原递呈等有关。KEGG通路主要是参与细胞受体信号传导通路、细胞周期调节、毒物降解、氨基酸和脂肪酸代谢等。在线STRING软件构建其中189个可翻译成蛋白的蛋白与蛋白相互作用网络图,提示这些基因的表达产物大部分存在密切的相互作用关系。进一步运用Cytoscape软件将STRING软件所构建的蛋白网络图可视化及量化,筛选出11个关键基因。结论通过对肝癌易感基因相关文献的文献计量学分析,对该研究领域的研究现状及发展趋势有了系统的认识。肝癌易感性相关基因种类繁多,针对关键基因的大样本研究及网络化的基因分析是未来的研究方向。OBJECTIVE To determine the key genes associated with hepatocellular carcinoma risk and provide reference information for further study. METHODS We searched relative articles in Embase,Pubmed and BIOSIS Preview from January 2001 to January 2014. Hepatocellular carcinoma risk genes that were obtained from clinical articles and hioinformatics analyses were selected. RESULTS Totally 708 articles related to risk of hepatocellular carcinoma were in- cluded. Research shows the number of publication paper has been increased significantly in past 3 years. We obtained 201 hepatocellular carcinoma risk genes that were mainly related to immune response, regulation of cellular physiological process, response to external stimulus, inflammatory response, DNA repair, regulation of cell cycle, cell proliferation, apoptosis. A total of 741 functional classifications and 66 pathways were involved when analyzed by the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG), respectively. A complex protein-protein network was formed by 189 protein-coding genes with the Online STRING software suggesting the close interaction among these proteins. This network was further visualized and quantified using the Cytoscape software,and 11 key genes from the protein-protein network were determined. CONCLUSIONS A comprehensive review on hepatoeellular carcinoma risk genes is provided based on the systematic article review and bioinformaties analyses. Various of hepatoeeliular carcinoma risk genes are identified,which suggests large sample and network analyses are important for future research.

关 键 词:肝癌 易感基因 关键基因 生物信息学 

分 类 号:R735.7[医药卫生—肿瘤]

 

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