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Computational and Mathematical Methods in Medicine
Volume 2017, Article ID 9803018, 8 pages
https://doi.org/10.1155/2017/9803018
Research Article

Biomarker MicroRNAs for Diagnosis of Oral Squamous Cell Carcinoma Identified Based on Gene Expression Data and MicroRNA-mRNA Network Analysis

1Guanghua School of Stomatology, Affiliated Stomatological Hospital, Guangdong Province Key Laboratory of Stomatology, Guangdong, China
2Oral and Maxillofacial Center, Kiang Wu Hospital, Macau

Correspondence should be addressed to Xiangya Huang; nc.ude.usys.liam@aygnaixh

Received 22 May 2017; Revised 1 August 2017; Accepted 6 August 2017; Published 17 September 2017

Academic Editor: Xiaofeng Song

Copyright © 2017 Hui Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Oral squamous cell carcinoma is one of the most malignant tumors with high mortality rate worldwide. Biomarker discovery is critical for early diagnosis and precision treatment of this disease. MicroRNAs are small noncoding RNA molecules which often regulate essential biological processes and are good candidates for biomarkers. By integrative analysis of both the cancer-associated gene expression data and microRNA-mRNA network, miR-148b-3p, miR-629-3p, miR-27a-3p, and miR-142-3p were screened as novel diagnostic biomarkers for oral squamous cell carcinoma based on their unique regulatory abilities in the network structure of the conditional microRNA-mRNA network and their important functions. These findings were confirmed by literature verification and functional enrichment analysis. Future experimental validation is expected for the further investigation of their molecular mechanisms.