Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer: A hypothesis based on the weighted gene co-expression network analysis

Biomedicine & Pharmacotherapy

Afshin Derakhshani¹  Antonio Giovanni Solimando²  Hassan Karami³  Nicola Silvestris⁴  Samira Nomiri⁵  Saeed Nasseri⁶  Neda Jalili Tabrizi⁷  Hossein Safarpour⁸  Darya Javadrashid⁹  Mahdi Abdoli Shadbad⁹  Niloufar Sadat Nourbakhsh⁹  Vito Racanelli⁹  Behzad Baradaran^1,10  Oronzo Brunetti^1,11 

[1] Department of Immunology, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran;IRCCS Istituto Tumori “Giovanni Paolo II” of Bari, Bari, Italy;Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran;Cellular and Molecular Research Center, Birjand University of Medical Sciences, Birjand, Iran;Department of Biochemistry, Faculty of Medicine, Birjand University of Medical Sciences, Birjand, Iran;Department of Biomedical Sciences and Human Oncology (DIMO), University of Bari, Bari, Italy;Department of Genetics, Faculty of Basic Sciences, Kazerun branch, Islamic Azad University, Kazerun, Iran;IRCCS Istituto Tumori “Giovanni Paolo II” of Bari, Bari, Italy;Immunology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran;Student Research Committee, Birjand University of Medical Sciences, Birjand, Iran;Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran;

关键词: Ovarian cancer;    Transcriptome analysis;    WGCNA;    Biomarker;   

DOI  :  

来源: DOAJ

【 摘 要 】

Background: Ovarian cancer (OC) is one of the worrisome gynecological cancers worldwide. Given its considerable mortality rate, it is necessary to investigate its oncogenesis. Methods: In this study, we used systems biology approaches to describe the key gene modules, hub genes, and regulatory drugs associated with serous OC as the novel biomarkers using weighted gene co-expression network analysis (WGCNA). Findings: Our findings have demonstrated that the blue module genes (r = 0.8, p-value = 1e-16) are involved in OC progression. Based on gene enrichment analysis, the genes in this module are frequently involved in biological processes such as the Cyclic adenosine monophosphate (cAMP) signaling pathway and the cellular response to transforming growth factor-beta stimulation. The co-expression network has been built using the correlated module's top hub genes, which are ADORA1, ANO9, CD24P4, CLDN3, CLDN7, ELF3, KLHL14, PRSS8, RASAL1, RIPK4, SERINC2, and WNT7A. Finally, a drug-target network has been built to show the interaction of the FDA-approved drugs with hub genes. Conclusions: Our results have discovered that ADORA1, ANO9, SERINC2, and KLHL14 are hub genes associated with serous OC. These genes can be considered as novel candidate target genes for treating OC.

【 授权许可】

Unknown