1. SHISA3 Promoter Methylation Is a Potential Diagnostic and Prognostic Biomarker for Laryngeal Squamous Cell Carcinoma.
- Author
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Shen, Zhisen, Zhou, Chongchang, Li, Jinyun, Ye, Dong, Deng, Hongxia, Cao, Bin, Hao, Wenjuan, Lin, Lexi, and Zhang, Yuna
- Subjects
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DNA analysis , *RNA analysis , *SQUAMOUS cell carcinoma , *BIOLOGICAL assay , *CELL culture , *CHI-squared test , *CONFIDENCE intervals , *ELECTROPHORESIS , *FISHER exact test , *GENE expression , *GENETIC techniques , *RESEARCH methodology , *POLYMERASE chain reaction , *PROBABILITY theory , *RESEARCH funding , *T-test (Statistics) , *TISSUE culture , *TUMOR markers , *PROPORTIONAL hazards models , *RECEIVER operating characteristic curves , *DATA analysis software , *DNA methylation , *DESCRIPTIVE statistics , *KAPLAN-Meier estimator , *LOG-rank test , *GENETICS , *PROGNOSIS , *DIAGNOSIS , *TUMOR risk factors , *CANCER risk factors ,LARYNGEAL tumors - Abstract
The purpose of this study was to evaluate the contribution of SHISA3 promoter methylation to laryngeal squamous cell carcinoma (LSCC). SHISA3 promoter methylation status and expression were determined using methylation-specific polymerase chain reaction (MSP) and quantitative real-time PCR (qRT-PCR) in 93 paired LSCC and adjacent normal tissues, respectively. Furthermore, the regulatory function of the SHISA3 promoter fragment was analyzed using a luciferase reporter assay. The results reveal that there is a significant increase in SHISA3 methylation in LSCC tissues compared with corresponding nontumor tissues P=4.58E-12. The qRT-PCR results show a significant association between SHISA3 methylation and expression in LSCC P=1.67E-03. In addition, the area under the receiver operating characteristic curve was 0.91. Consequently, a log-rank test and multivariate Cox analysis suggest that SHISA3 promoter hypermethylation is a predictor of poor overall survival for LSCC (log-rank P = 0.024; HR = 2.71; 95% CI = 1.024–7.177; P = 0.047). The results indicate that SHISA3 promoter hypermethylation might increase the risk of LSCC through regulation of gene expression and is a potential diagnostic and prognostic biomarker for LSCC. [ABSTRACT FROM AUTHOR]
- Published
- 2017
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