Meta-analysis and Network Analysis of Five Ovarian Cancer Gene Expression Dataset
Ovarian cancer is the fifth leading cause of death from cancer in women and the leading cause of death from gynecological cancer. Here we present a metaanalysis of five gene expression data sets of 432 ovarian cancer and 42 adjacent normal samples in total. We indentified 3 genes: ISDN, RNASE4, IGFBP4 were significantly differentially expressed in both five data sets. After combined the dataset by metaanalysis, 3722 genes were significant (p-value < 6.98*10-6). These genes were mainly enriched in GO terms: protein binding, cell cycle and cell proliferation and pathway: cell cycle. Co-expression networks were constructed for the 5 and the combined data sets. We ranked the important nodes in every network according to node degree and searched the common edges among the five networks. The five genes shared with high degree (Top 10％ in every dataset) and the gene pairs of the common gene were all functioned as protein binding and participated in cell cycle process. Finally, we detected modules and found the relevant pathways enriched in the modules. The results show that meta-analysis and network analysis are powerful tools for combining and comparing different microarray data sets.
ovarian cancer microarray meta-analysis coexpression network
Hua Dong Shengjun Hong Xiaomin Xu Yanghna Xiao Li Jin Momiao Xiong
State Key Laboratory of Genetic Engineering and MOE Key Laboratory of Contemporary Anthropology,Scho School of Computer Science, Fudan University,Shanghai, 200433, China
国际会议
黄山
英文
242-246
2010-05-28（万方平台首次上网日期，不代表论文的发表时间）