Citation Information :
Kumaraguru M, Doraikannan S, Jayaseelan V, Indiran MA, Venkadessan K. Deciphering the MicroRNA Targets of Candidate Genes in Oral Submucous Fibrosis: A Computational Approach. World J Dent 2024; 15 (6):531-538.
Introduction: Oral submucous fibrosis (OSMF) is an oral premalignant disorder marked by inflammation of the submucosal tissues, leading to progressive fibrosis and ultimately resulting in rigidity and limited mouth opening. Literature has indicated that a multitude of microRNA (miRNAs) are abnormally expressed in OSMF, and this dysregulation may play a role in the condition's diagnosis, prognosis, and therapeutic aspects.
Aim: The aim of this study was to identify miRNA targets of candidate genes in OSMF using a computational approach.
Materials and methods: The Gene Expression Omnibus (GEO) software was used to obtain data on differentially expressed genes for OSMF without dysplasia (OSMWT), OSMF with dysplasia (OSMWD), and OSMF with squamous cell carcinoma (OSCC). The genes that were common to OSMWT, OSMWD, and OSCC were further subjected to analysis by miRNA Target Prediction Database (miRDB) software to identify the miRNAs that targeted the candidate genes.
Results: This study yielded 63 miRNAs with a target score of 90–100 and potentially associated with OSMF. The miRNAs hsa-miR-5011-5p and hsa-miR-8087 had the highest target score of 100. This was followed by hsa-miR-520d-5p, hsa-miR-524-5p, hsa-miR-7162-3p, hsa-miR-499a-5p, hsa-miR-1324, and hsa-miR-520d-5p with a target score of 99.
Conclusion: This study has aided in the process of gene and miRNA prioritization in the context of OSMF, which can serve as a useful tool for understanding the disease.
Clinical significance: The findings of this study can serve as the basis for formulating appropriate pharmacotherapy for OSMF along the lines of personalized medicine.
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