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High microRNA-23a expression in laryngeal squamous cell carcinoma is associated with poor patient prognosis

Overview of attention for article published in Diagnostic Pathology, April 2015
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Title
High microRNA-23a expression in laryngeal squamous cell carcinoma is associated with poor patient prognosis
Published in
Diagnostic Pathology, April 2015
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.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 2 29%
Student > Postgraduate 1 14%
Student > Master 1 14%
Student > Ph. D. Student 1 14%
Professor > Associate Professor 1 14%
Other 1 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 43%
Unspecified 2 29%
Medicine and Dentistry 2 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2015.
All research outputs
#4,184,727
of 5,005,391 outputs
Outputs from Diagnostic Pathology
#499
of 600 outputs
Outputs of similar age
#140,156
of 169,270 outputs
Outputs of similar age from Diagnostic Pathology
#57
of 61 outputs
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