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

• Published in: Biomedicine & pharmacotherapy 2022-02, Vol.146, p.112537-112537, Article 112537
• Main Authors: Nomiri, Samira, Karami, Hassan, Baradaran, Behzad, Javadrashid, Darya, Derakhshani, Afshin, Nourbakhsh, Niloufar Sadat, Shadbad, Mahdi Abdoli, Solimando, Antonio Giovanni, Tabrizi, Neda Jalili, Brunetti, Oronzo, Nasseri, Saeed, Racanelli, Vito, Safarpour, Hossein, Silvestris, Nicola
• Format: Article
• Language: English
• Subjects: Biomarker; Claudins; Databases, Genetic; Gene Expression Profiling - methods; Gene Regulatory Networks; Humans; Membrane Proteins - genetics; Ovarian cancer; Ovarian Neoplasms - drug therapy; Ovarian Neoplasms - genetics; Systems Biology; Transcriptome analysis; WGCNA
• ISSN: 0753-3322; 1950-6007
• DOI: 10.1016/j.biopha.2021.112537

Ovarian cancer (OC) is one of the worrisome gynecological cancers worldwide. Given its considerable mortality rate, it is necessary to investigate its oncogenesis. 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). 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. 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. [Display omitted] •Using the WGCNA approach, we identified pathological OC-associated gene modules and hub-genes.•Findings confirmed that the blue module has a significant association with OC state.•We revealed key gene modules, including ADORA1, ANO9, SERINC2, and KLHL14, as serous OC hub-genes.•ADORA1 and ANO9 upregulation may play a key role in developing OC.