Literature DB >> 21712565

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

Shengjun Hong1, Hua Dong, Li Jin, Momiao Xiong.   

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.

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Year:  2011        PMID: 21712565     DOI: 10.1504/IJCBDD.2011.041008

Source DB:  PubMed          Journal:  Int J Comput Biol Drug Des        ISSN: 1756-0756


  7 in total

1.  Systematic analysis and validation of differential gene expression in ovarian serous adenocarcinomas and normal ovary.

Authors:  Dirk Bauerschlag; Karen Bräutigam; Roland Moll; Jalid Sehouli; Alexander Mustea; Darius Salehin; Maryla Krajewska; John C Reed; Nicolai Maass; Garret M Hampton; Ivo Meinhold-Heerlein
Journal:  J Cancer Res Clin Oncol       Date:  2012-10-23       Impact factor: 4.553

Review 2.  Differential Regulatory Analysis Based on Coexpression Network in Cancer Research.

Authors:  Junyi Li; Yi-Xue Li; Yuan-Yuan Li
Journal:  Biomed Res Int       Date:  2016-08-11       Impact factor: 3.411

3.  Comparisons of gene coexpression network modules in breast cancer and ovarian cancer.

Authors:  Shuqin Zhang
Journal:  BMC Syst Biol       Date:  2018-04-11

4.  Phylostratigraphic analysis of gene co-expression network reveals the evolution of functional modules for ovarian cancer.

Authors:  Luoyan Zhang; Yi Tan; Shoujin Fan; Xuejie Zhang; Zhen Zhang
Journal:  Sci Rep       Date:  2019-02-22       Impact factor: 4.379

5.  Cancer-risk module identification and module-based disease risk evaluation: a case study on lung cancer.

Authors:  Xu Jia; Zhengqiang Miao; Wan Li; Liangcai Zhang; Chenchen Feng; Yuehan He; Xiaoman Bi; Liqiang Wang; Youwen Du; Min Hou; Dapeng Hao; Yun Xiao; Lina Chen; Kongning Li
Journal:  PLoS One       Date:  2014-03-18       Impact factor: 3.240

6.  Gene co-expression network reveals shared modules predictive of stage and grade in serous ovarian cancers.

Authors:  Qian Sun; Haiyue Zhao; Cong Zhang; Ting Hu; Jianli Wu; Xingguang Lin; Danfeng Luo; Changyu Wang; Li Meng; Ling Xi; Kezhen Li; Junbo Hu; Ding Ma; Tao Zhu
Journal:  Oncotarget       Date:  2017-06-27

7.  Differential network as an indicator of osteoporosis with network entropy.

Authors:  Lili Ma; Hongmei Du; Guangdong Chen
Journal:  Exp Ther Med       Date:  2018-05-16       Impact factor: 2.447

  7 in total

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