Potential Biomarkers and Signaling Pathways Associated with the Pathogenesis of Primary Ameloblastoma: A Systems biology Approach
Amir Taherkhani*1,Zeynab Bayat2 and Azin Mirzaeian3
1Research Center for Molecular Medicine, Hamadan University of Medical Sciences,Hamadan, Iran.
2,3Department of Oral and Maxillofacial Medicine, Faculty of Dentistry, Hamadan University of Medical Sciences, Hamadan, Iran.
Citation: Taherkhani A, Bayat Z, Mirzaeian A (2022). Potential Biomarkers and Signaling Pathways Associated with the Pathogenesis of Primary Ameloblastoma: A Systems biology Approach. SciTech Central Dentistry 2022.
Received: October 17, 2022 Accepted: October 18, 2022 Published: October 18, 2022
Abstract
Objective: Ameloblastoma is a benign odontogenic tumor that may lead to ameloblastic carcinoma. This study aimed to determine potential signaling pathways and biological processes,critical genes and their regulating transcription factors (TFs) and miRNAs, as well as protein kinases involved in the etiology of primary ameloblastoma.
Methods: The dataset GSE132472 was obtained from the GEO database, and multivariate statistical analyses were applied to identify differentially expressed genes (DEGs) in primary ameloblastoma tissues compared to the corresponding normal gingiva samples. A protein-protein interaction (PPI) map was built using the STRING database. The Cytoscape software identified significant modules and the hub genes within the PPI network. Gene Ontology annotation and signaling pathway analyses were executed by employing the DAVID and Reactome databases, respectively. Significant TFs and miRNAs acting on the hub genes were identified using the iRegulon plugin and MiRWalk 2.0 database, respectively. Protein kinase enrichment analysis was conducted using the online Kinase Enrichment Analysis 2 (KEA2) webserver. The approved drugs acting on the hub genes were also found.
Results: A total of 1629 genes were differentially expressed in primary ameloblastoma (P-value
Conclusions: This study provides an intuition into the potential mechanisms involved in the etiology of ameloblastoma.
Keywords: Ameloblastoma, Biomarkers, Etiology, Gene regulatory network, Protein-protein interaction network
