Pivotal role of MiRNA's in malignant transformation of Oral Submucous Fibrosis
This review explores MicroRNAs' (miRNAs) role in Oral Submucous Fibrosis (OSMF) malignant transformation. OSMF, a potentially life-threatening disorder, exhibits a 7.6% to 13% probability of malignant transformation. MiRNAs like miR-21 and miR-29b play crucial roles in OSMF pathogenesis, affect...
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Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2024-06-01
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Series: | Oral Oncology Reports |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772906024001456 |
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Summary: | This review explores MicroRNAs' (miRNAs) role in Oral Submucous Fibrosis (OSMF) malignant transformation. OSMF, a potentially life-threatening disorder, exhibits a 7.6% to 13% probability of malignant transformation. MiRNAs like miR-21 and miR-29b play crucial roles in OSMF pathogenesis, affecting fibrosis and malignancy. Their dysregulation impacts TGF-/Smad and Wnt/-catenin signaling pathways, contributing to fibrotic alterations. OSMF malignant transformation involves genetic and epigenetic changes, with miR-34 and miR-1246 implicated in increased cell proliferation and invasiveness. MiRNAs hold diagnostic and prognostic potential in OSMF. Specific miRNA signatures correlate with disease development, aiding in individualized risk stratification. Integrating miRNA-based techniques into precision medicine offers personalized therapeutic avenues, considering ethnic and environmental factors. MiRNA-targeted therapies, potentially combined with conventional approaches, show promise in addressing OSMF complexities. However, challenges in standardization, sample variability, and off-target effects persist. Artificial Intelligence contributes to miRNA research, enhancing target prediction and understanding disease mechanisms. Continued research is crucial for identifying additional OSMF-related miRNAs and refining diagnostic and therapeutic strategies. Standardization in miRNA-based diagnostics is imperative for future implementation. |
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ISSN: | 2772-9060 |