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Medical Science Monitor Basic Research


eISSN: 1643-3750

Expression and Clinical Significance of microRNA-1246 in Human Oral Squamous Cell Carcinoma

Lan Liao, Jun Wang, Shaobo Ouyang, Peng Zhang, Jiaolong Wang, Meng Zhang

School of Materials Science and Engineering, Nanchang University, Nanchang, Jiangxi, China (mainland)

Med Sci Monit 2015; 21:776-781

DOI: 10.12659/MSM.892508

Available online:

Published: 2015-03-16


Background: MicroRNAs (miRNAs) are small, non-coding RNAs that may function as oncogenes or tumor suppressors. Previous studies have shown that the expression level of miR-1246 was enhanced in multiple types of cancers. However, the expression of miR-1246 in human oral squamous cell carcinoma (OSCC) and its prognostic values remain unclear.
Material and Methods: Quantitative reverse-transcriptase polymerase chain reaction (qRT-PCR) was used to analyze the expression of miR-1246 in 106 pairs of matched normal and tumor tissue samples. The chi-square test was used to examine the associations between miR-1246 expression and the clinicopathological characters. The survival curves were constructed by the Kaplan-Meier method. The influence of each clinical variable on survival was examined by the Cox multivariate regression analysis.
Results: The expression level of miR-1246 was significantly higher in tumor tissues and oral cancer cell lines than in normal controls (p<0.01). High expression of miR-1246 was found to significantly correlate with nodal status (p=0.015), TNM stage (p=0.005), and tumor grade (p=0.002). Enhanced miR-1246 correlated significantly with patient survival (p<0.01). In multivariate analysis, we found that miR-1246 expression was an independent prognostic factor of poor patient survival (p= 0.036; HR=2.82; 95% CI=1.07–7.43).
Conclusions: High miR-1246 expression is associated with poor prognosis in OSCC and may serve as a novel prognostic marker in OSCC.

Keywords: Carcinoma, Squamous Cell - pathology, Case-Control Studies, Cell Line, Tumor, Gene Expression Regulation, Neoplastic, MicroRNAs - metabolism, Mouth Neoplasms - pathology, Multivariate Analysis, Prognosis, Real-Time Polymerase Chain Reaction