Title |
High microRNA-23a expression in laryngeal squamous cell carcinoma is associated with poor patient prognosis
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Published in |
Diagnostic Pathology, April 2015
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DOI | 10.1186/s13000-015-0256-6 |
Pubmed ID | |
Authors |
Xiao-Wen Zhang, Ning Liu, Sheng Chen, Ye Wang, Zhao-Xiong Zhang, Yuan-Yuan Sun, Guang-Bin Qiu, Wei-Neng Fu |
Abstract |
MicroRNA-23a (miR-23a) has been demonstrated to play an important role in the development of several types of cancer, but its role in tumorigenesis of laryngeal carcinoma is still unclear. The aim of this study was to investigate the expression patterns and clinical implications of miR-23a in laryngeal cancer. Quantitative RT-PCR was performed to evaluate the expression level of miR-23a in 52 pairs of laryngeal cancer. Analysis between miR-23a expression and clinical features of laryngeal carcinomas was performed by appropriate statistical methods. Role of miR-23a in laryngeal cancer cell migration and invasion was detected via transwell and matrigel assays, respectively. miR-23a was significantly up-regulated in laryngeal cancer tissues compared to normal adjacent laryngeal tissues (P < 0.01). Tumors with high miR-23a expression had significantly greater extent of lymph node metastasis (P < 0.01), worse clinical stage (P < 0.05) and shorter overall five-year survival (P < 0.01) than those with low miR-23a expression. Both univariate and multivariate Cox hazard regression analysis results showed that clinical stage and miR-23a expression were significantly correlated with patient five-year survival (P < 0.01). miR-23a overexpression also significantly promoted laryngeal cancer cell migration and invasion in vitro. miR-23a, an independent prognostic factor for laryngeal cancer, participates in the onset and progression of laryngeal cancer. The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/2021488014982305. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 4 | 22% |
Lecturer | 2 | 11% |
Professor > Associate Professor | 2 | 11% |
Student > Master | 2 | 11% |
Student > Ph. D. Student | 1 | 6% |
Other | 2 | 11% |
Unknown | 5 | 28% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 6 | 33% |
Biochemistry, Genetics and Molecular Biology | 4 | 22% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
Unknown | 7 | 39% |