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ORIGINAL ARTICLE
Year : 2018  |  Volume : 14  |  Issue : 7  |  Page : 1638-1643

Probing pathway-related modules in invasive squamous cervical cancer based on topological centrality of network strategy


1 Department of Obstetrics, Binzhou People's Hospital, Binzhou 256610, China
2 Department of Gynecology, Binzhou People's Hospital, Binzhou 256610, China
3 Department of Gynecology and Obstetrics, Jinan Maternity and Child Care Hospital, Jinan 250001, P.R. China

Correspondence Address:
Fang Xue
Department of Gynecology and Obstetrics, Jinan Maternity and Child Care Hospital, No. 2 Jianguo Xiaojingsan Road, Jinan 250001
P.R. China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0973-1482.187352

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Objective: Our work aimed to identify pathway-related modules and hub genes involved in invasive squamous cervical cancer (SCC) based on topological centralities analysis of networks. Materials and Methods: To determine the functional modules changed in SCC, functional enrichment analyses were performed for differentially expressed genes (DEGs) between invasive SCC samples and normal controls. Then, co-expression network was constructed using EBcoexpress approach based on the DEGs. Moreover, pathway-related modules were probed from the global co-expression network based on pathway genes and their adjacent genes. Finally, topological centralities for co-expression network and pathway-related subnetworks were carried out to explore hub genes and significant pathway-related functional modules. Results: Functional analyses revealed that DEGs mainly involved in three biological processes (metabolic process, cellular process, and cellular component organization) and 8 significant pathways. Furthermore, the co-expression network with 659 nodes and 1087 edges and 8 pathway-related modules were obtained. Topological centralities indicated two significant modules (cell cycle and base excision repair pathway-related modules), in which the common hub gene ARFGAP3 showed the most significant importance. Conclusions: The bioinformatics elucidation of certain pathway-related modules and hub genes might be beneficial to understand the molecular pathogenesis and reveal their potential as novel molecular markers of SCC to a great extent.


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