Reza Omid - Surgical Research Society (SRS), Students&#۰۳۹; Scientific Research Center, Tehran University of Medical Sciences, Tehran, Iran
Parmida Dehghanpoor Farashah - Azad University of Medical Sciences, Tehran, Iran
Helia Azodian Ghajar - Department of Medical Genetics, Afzalipour Faculty of Medicine, Kerman University of Medical Sciences, Kerman, Iran.
Shahram Aliyari - Division of Applied Bioinformatics, German Cancer Research Center DKFZ Heidelberg
Hassan Homayoun - Department of Computer Engineering, University of Kashan, Kashan, Iran
Ramin Rahimnia - Urology Research Center, Tehran University of Medical Sciences, Tehran, Iran

Introduction: ADPKD, a genetic ailment, leads to the emergence of tiny sacs brimming with fluid, commonly known as cysts, within the kidneys which has an association with Renal Cell Carcinoma (RCC). We explore the gene signature shared between ADPKD and RCC based on integrated network analysis.Methods: We searched the DisGeNET database to extract the overlapped genes (until November ۲۰۲۳) across the dominant autosomal disorder characterized by the growth of multiple cysts in the kidneys and all types of kidney cancers. Further, Enrichr was utilized for the identification of significant Gene ontology (GO) terms in the Kyoto Encyclopedia of Genes and Genome (KEGG) pathway. Further, the highest linkage hub genes were determined across the selected disorders through the protein-protein interaction (PPI) network construction for the overlapping genes using cytoHubba.Results: We identified ۱۸۷ common genes between ADPKD and urologic disorders. We identified ۵ hub genes retrieved via Enrichr and Cytohubba analysis including TNF, JAK۲, TGFB۱, IL۶, and EPO. These genes were mostly involved in molecular pathways and the KEGG pathway. The overlapping genes were most significantly related to the regulation of cell population proliferation (GO:۰۰۴۲۱۲۷), pathways in cancer, pancreatic cancer, and receptor-ligand activity.Conclusion: from a total number of ۱۸۷ common genes, ۵ key genes were mutual across ADPKD and all types of renal carcinoma. The identified feature could be potential targets in both disorders, even to manage malignancies in polycystic kidney disease.

Autosomal dominant polycystic kidney disease, Urological Disorders, Single Nucleotide Polymorphisms, genes, Molecular Pathways