Title: Gene co-expression network and functional module analysis of ovarian cancer

Authors: Shengjun Hong, Hua Dong, Li Jin, Momiao Xiong

Addresses: MOE Key Laboratory of Contemporary Anthropology and State Key, Laboratory of Genetic Engineering, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China. ' MOE Key Laboratory of Contemporary Anthropology and State Key, Laboratory of Genetic Engineering, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China. ' MOE Key Laboratory of Contemporary Anthropology and State Key, Laboratory of Genetic Engineering, School of Life Sciences and Institutes of Biomedical Sciences, Fudan University, Shanghai, China. ' Human Genetics Center, University of Texas School of Public Health, Houston, TX 77030, USA

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.

Keywords: gene co-expression networks; ovarian cancer; node importance; functional module analysis; cancer genes.

DOI: 10.1504/IJCBDD.2011.041008

International Journal of Computational Biology and Drug Design, 2011 Vol.4 No.2, pp.147 - 164

Published online: 24 Jan 2015 *

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