title: Gene co-expression network and functional module analysis of ovarian cancer.
abstract: We constructed gene co-expression networks and identified the ovarian cancer-related genes by network structure analysis in two independent ovarian cancer studies. To study the properties of networks, modules were identified and their functions and roles were investigated. Our results showed that the inferred networks were structurally conservative and the identified modules were highly overlapped between two data sets. We discovered 42 common hub genes and four common conserved modules, which were enriched with the genes in four cancer-related pathways in two independent studies. In addition, we detected two ovarian cancer susceptibility genes: CCEN2 and BRIC5.
authors.affiliation: MOE Key Laboratory of Contemporary Anthropology and State Key, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China. shengjun.hong2008@gmail.com
authors.forename: Shengjun
authors.initials: S
authors.lastname: Hong
authors.forename: Hua
authors.initials: H
authors.lastname: Dong
authors.forename: Li
authors.initials: L
authors.lastname: Jin
authors.forename: Momiao
authors.initials: M
authors.lastname: Xiong
mesh_terms: D056808:Biostatistics; D003627:Data Interpretation, Statistical; D030541:Databases, Genetic / Q000706:statistics & numerical data; D005260:Female; D053263:Gene Regulatory Networks; D020022:Genetic Predisposition to Disease; D006801:Humans; D009857:Oncogenes; D010051:Ovarian Neoplasms / Q000235:genetics*; D049490:Systems Biology / Q000706:statistics & numerical data