文献类型：期刊文献

中文题名：膀胱癌相关易感基因的生物信息分析

英文题名：Bioinformatics analysis of the related susceptibility genes in bladder cancer

作者：任春贞[1];骆亚莉[1];刘永琦[1,2];庄梦婕[1];龚红霞[1];李玲[1];王凤梅[1];卢志伟[1]

第一作者：任春贞

机构：[1]甘肃中医药大学甘肃省高校重大疾病分子医学与中医药防治研究省级重点实验室;[2]敦煌医学与转化省部共建教育部重点实验室

第一机构：甘肃中医药大学科研实验中心（甘肃省中医药标准化技术委员会秘书处）

年份：2017

卷号：0

期号：11

起止页码：5113

中文期刊名：中华中医药杂志

外文期刊名：China Journal of Traditional Chinese Medicine and Pharmacy

收录：CSTPCD;;北大核心:【北大核心2014】；CSCD:【CSCD2017_2018】；

基金：国家自然科学基金项目(No.81473457)~~

语种：中文

中文关键词：膀胱癌;易感基因;生物信息学;文献计量学;TP53;MTHFR;IL6;CDKN2A;GSTP1

外文关键词：Bladder cancer;;Susceptibility genes;;Bioinformatics;;Bibliometrics;;TP53;;MTHFR;;IL6;;COKN2A;;GSTP1

摘要：目的:归纳分析膀胱癌易感基因的相关文献,并进行生物信息学分析,为进一步的研究提供参考依据。方法:检索Pubmed、中国知网、万方三大数据库2006年1月1日-2015年12月31日发表的文献,摘录膀胱癌易感基因并进行生物信息学分析。结果:共检索有效文献405篇,摘录膀胱癌相关易感基因188个,不同分级的基因本体论(GO)分类201种,京都基因与基因组百科全书数据库(KEGG)通路7种。GO分类这些基因主要与细胞损伤修复、免疫反应、细胞周期调节、炎性反应、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相互作用、细胞凋亡、信号转导通路、氨基酸和脂肪酸代谢等。在线STRING软件构建其中166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TP53、MTHFR、IL6、CDKN2A、GSTP1共5个基因。结论:通过对膀胱癌易感基因的生物分析研究,TP53、MTHFR、IL6、CDKN2A、GSTP1共5个基因可能为膀胱癌易感关键基因。
Objective: To summarize the related literatures of therelated susceptibility genes in bladder cancer and carry out bioinformatics analysis, and to provide reference for further research. Methods: Literature published on Pubmed, CNKI and Wangfang data from 1 January 2006 to 31 December 2015 were collected. The susceptibility genes in bladder cancer were extracted and analyzed by bioinformatics. Results: Four hundred and five effective literature were collected, one hundred and eighty-eight susceptibility genes in bladder cancer were extracted, 201 kinds of different grades gene ontology(GO) in classification were collected, and 7 pathways of Kyoto Encyclopedia of Genes and Genomes database(KEGG) were extracted.These genes were mainly associated with cellular injury and repair, immune response, cell cycle regulation, inflammation, DNA damage repair, apoptosis, antigen presentation, and so on. KEGG pathway were mainly involved in cell receptor signaling pathways, cell cycle regulation, poison degradation, amino acids and fatty acid metabolism. One hundred and sixty-six of the susceptibility genes in bladder cancer that could be translated into proteins were constructed protein interaction network by online STRING software, which suggesting that there was close correlation among most of the expression products of these gene. Cytoscape software was used to make the protein interaction network further visualization and quantification, and five genes containing TP53, MTHFR, IL6, CDKN2 A and GSTP1 were selected. Conclusion: By bioinformatics analysis of susceptibility genes in bladder cancer, TP53, MTHFR, IL6, CDKN2 A and GSTP1 may be the key susceptibility genes in bladder cancer.