癌变·畸变·突变 ›› 2017, Vol. 29 ›› Issue (1): 23-30,36.doi: 10.3969/j.issn.1004-616x.2017.01.005

• 论著 • 上一篇    下一篇

整合基因的拷贝数与表达信息识别胶质瘤风险通路区域内的生存标志物

潘奇, 李萌, 钱凤翠, 汤治东, 赵越, 王秋毓, 李春权   

  1. 哈尔滨医科大学大庆校区医学信息学系, 黑龙江 大庆 163319
  • 收稿日期:2016-06-28 修回日期:2016-11-01 出版日期:2017-01-31 发布日期:2017-01-31
  • 通讯作者: 李萌,E-mail:lemonlim@sina.com;李春权,E-mail:lcqbio@163.com E-mail:lemonlim@sina.com;lcqbio@163.com
  • 作者简介:潘奇,E-mail:105309150@qq.com
  • 基金资助:

    黑龙江省大学生创新创业训练计划项目(1022620152381)

Copy number of gene and their expression as survival markers for glioma

PAN Qi, LI Meng, QIAN Fengcui, TANG Zhidong, ZHAO Yue, WANG Qiuyu, LI Chunquan   

  1. Department of Medical Informatics, Daqing Campus of Harbin Medical University, Daqing 163319, Heilongjiang, China
  • Received:2016-06-28 Revised:2016-11-01 Online:2017-01-31 Published:2017-01-31

摘要:

目的:识别胶质瘤风险区域,并预测风险区域内与生存高度相关的基因。方法:从TCGA和GISTIC 2.0网站分别获取胶质瘤病人拷贝数变异数据和人类参考基因组数据。根据胶质瘤患者的基因拷贝数变异和mRNA表达谱,形成新的基因表达谱。将样本按是否发生拷贝数变异分为两组,将由t检验获得差异的基因注释到KEGG PATHWAY database的300个通路,运用Subpathway-GM方法,挖掘得到风险子通路。结合Kaplan-Meier方法和Log-rank检验,预测与胶质瘤生存高度相关的基因。结果:t检验获得2 219个差异基因,通过Subpathway-GM方法挖掘出48个风险子通路。我们研究预测得到的14个胶质瘤生存相关的基因与排名前10的风险子通路的关系,发现MDH2、YWHAE、SHB2B、CACNG4和CACNA1G可作为胶质瘤的生存标志物。结论:整合胶质瘤患者的拷贝数变异信息和表达信息,有效利用通路的拓扑结构,对识别可能用于胶质瘤的诊断和治疗的生存标志物具有重要意义。

关键词: 胶质瘤, 拷贝数变异, Subpathway-GM方法, 信号通路, 标志物

Abstract:

OBJECTIVE: To identify the relationship among gene copy number and their expression with survival of glioma. METHODS: Based on the gene copy number variation data and mRNA expression information of 95 glioma patients,we organized a new expression profile. Samples were divided into two groups by the copy number variation and by using t test differential genes. The data were annotated into 300 pathways from KEGG pathway database. Applying with the Subpathway-GM method,we identified risky subpathways. Kaplan-Meier method and Log-rank test were used to predict genes which were highly related to the survival of glioma. RESULTS: 2 219 differential genes were obtained by using t test,as well as 48 risky subpathways by Subpathway-GM method. Studying the relathion between the 14 genes precticted by using survival method and the top 10 risky subpathways,we found that MDH2,YWHAE,SHB2B, CACNG4 and CACNA1G could be regard as survival markers of glioma. CONCLUSION: By combining glioma patients' copy number variation of gene,their expression information and the topological structure of the pathways,we identified some survival markers for the diagnosis and treatment of glioma.

Key words: glioma, copy number variation, Subpathway-GM method, subpathways, markers

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