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Investigation of the association between miR-181b, Bcl-2 and LRIG1 in oral verrucous carcinoma

Overview of attention for article published in Molecular Medicine Reports, August 2016
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Title
Investigation of the association between miR-181b, Bcl-2 and LRIG1 in oral verrucous carcinoma
Published in
Molecular Medicine Reports, August 2016
DOI 10.3892/mmr.2016.5608
Pubmed ID
Authors

Zhi-Yuan Deng, Yue-Hong Wang, Hong-Zhi Quan, Ou-Sheng Liu, Yi-Ping Li, Yuan Li, Wu Zhu, Krishna Munnee, Zhan-Gui Tang

Abstract

Abnormal expression of microRNAs (miRNAs) is involved in the development of and anti‑apoptotic effects in various types of human cancer. However, miRNA‑mediated regulation of oral verrucous carcinoma (OVC) remains to be elucidated. The present study aimed to investigate the expression of miR‑181b in OVC and oral squamous cell carcinoma (OSCC). The expression levels of miR‑181b were determined using reverse transcription‑quantitative polymerase chain reaction. The expression levels of B‑cell lymphoma 2 (Bcl‑2) and leucine rich repeats and immunoglobulin like domains 1 (LRIG1), were evaluated using immunohistochemical staining. The correlation between Bcl‑2 and LRIG1 expression was determined using a Pearson correlation analysis. The expression levels of miR‑181b and Bcl‑2 in OVC were significantly higher compared with normal mucosal tissue (NM); however, lower compared with the OSCC. The key target of miR‑181b was LRIG1 and it was significantly lower in OVC tissues compared with NM tissue; however this was higher when compared with OSCC tissue. The expression levels of Bcl‑2 were correlated with expression levels of LRIG1 in OVC tissues. Therefore, LRIG1 may be associated with anti‑apoptotic function in OVC tissues.

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Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 20%
Student > Master 3 15%
Other 2 10%
Researcher 2 10%
Student > Postgraduate 2 10%
Other 6 30%
Unknown 1 5%
Readers by discipline Count As %
Medicine and Dentistry 11 55%
Biochemistry, Genetics and Molecular Biology 2 10%
Chemical Engineering 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Computer Science 1 5%
Other 1 5%
Unknown 3 15%
Attention Score in Context

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 13 August 2016.
All research outputs
#20,337,210
of 22,882,389 outputs
Outputs from Molecular Medicine Reports
#2,520
of 4,513 outputs
Outputs of similar age
#317,036
of 361,768 outputs
Outputs of similar age from Molecular Medicine Reports
#83
of 139 outputs
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So far Altmetric has tracked 4,513 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 139 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.