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Vol 58(2024) N 6 p. 1321-1339; DOI 10.1134/S0026893324060025 Full Text

Y. Arianmehr1, G. Nuoroozi2, S.H. Tackallou1, M. Peyman1, S. Alihosseini1, A. Atashi3, M. Ajami3, M. Ajam4, H.M. M. Sadeghi5, F. Yazdani6, N. Yazdani7, Z. Molavi8, F. Mohebichamkhorami9, S.A. Mirmotalebisohi9, H. Zali7,9*,**

Unraveling Cancer Progression in Oral Squamous Cell Carcinoma through Regulatory Network Analysis; miRNA-Target Gene Interaction

1Department of Basic Sciences, Central Tehran Branch, Islamic Azad University, Tehran, Iran
2Men's Health and Reproductive Health Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
3Department of Medical Laboratory Sciences, School of Allied Medical Sciences, Shahroud University of Medical Sciences, Shahroud, Iran
4Department of Hematology, Faculty of Paramedical Sciences, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran
5Department of Oral and Maxillofacial Surgery, Dental School, Shahid Beheshti University of Medical Science, Tehran, Iran
6Department of Pathology, Amir Alam Hospital, Tehran, Iran
7Otolaryngology Research Center, Amiralam Hospital, Tehran University of Medical Sciences, Tehran, Iran
8Proteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran
9Department of Tissue Engineering and Applied Cell Sciences, School of Advanced Technologies in Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran


*hakimehzali@gmail.com
**h.zali@sbmu.ac.ir
Received - 2024-02-29; Revised - 2024-05-05; Accepted - 2024-07-18

Dysregulation of microRNAs (miRs) plays an essential role in tumor progression of oral squamous cell carcinoma (OSCC) through altering target genes' function and expression. This study aims to investigate the regulatory network of the miR-target gene involved in cancer progression to find key miRs and target genes. We used OSCC transcriptomic data obtained from GSE28100. To find the critical target genes shared between the miRs, we used miRecord and mirTarBase databases and analyzed the regulatory of miR-target genes using network analysis by Cytoscape. We selected 11 miRs and assessed their expression with qRT-PCR in 10 OSCC tissue samples compared to normal oral tissues. UACLAN database was applied to find the expression of these 11 miRs and their overall survival in OSCC. We found that eight miRNAs were up-regulated, and three of them were down-regulated. The highest expression level belonged to miR-10b. The other up-regulated microRNAs were miR-196a, miR-103, miR-21, miR-31, miR-494, miR-9 and miR-200c. Three miRs that were downregulated are miR-195, miR-133a, and miR-221. Expression data of the UACLAN database confirmed the transcriptomic data. The miR-target gene network of 11 miRs released some crucial molecules, including miR-21, miR-9, miR-196a, miR-221, miR-133a, CDK6, ZEB1, MYC, E2F3, RHOA, SP1, and CCND1. Our analysis showed that miRNAs can be suggested as potential biomarkers for prognosis and predicting the OSCC progression.

gene regulatory network, miRNAs, oral cancer, oral squamous cell carcinoma, system biology



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