چاپ صفحه |  صفحه نخست سامانه |  چکیده مقاله |  نویسندگان |  دانلود مقاله | دانشگاه علوم پزشکی تبریز |
| Background: Ovarian cancer (OC) is one of the worrisome gynecological cancers worldwide. Given its consid- erable 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 bio- logical 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. |
| نویسنده | نفر چندم مقاله |
|---|---|
| بهزاد برادران | سوم |
| دریا جوادرشید | چهارم |
| افشین درخشانی | پنجم |
| مهدی عبدلی شادباد | هفتم |
| ندا جلیلی تبریزی | نهم |
| نام فایل | تاریخ درج فایل | اندازه فایل | دانلود |
|---|---|---|---|
| 589-Exploiting systems biology to investigate the gene modules and drugs in ovarian cancer A hypothesis based on the weighted gene co-expression network analysis.pdf | 1400/10/25 | 5421174 | دانلود |
