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Clinical significance of DAPK promoter hypermethylation in lung cancer: a meta-analysis

Overview of attention for article published in Drug Design, Development and Therapy, March 2015
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Title
Clinical significance of DAPK promoter hypermethylation in lung cancer: a meta-analysis
Published in
Drug Design, Development and Therapy, March 2015
DOI 10.2147/dddt.s78012
Pubmed ID
Authors

Ying Li, Min Zhu, Xiaoju Zhang, Dongjun Cheng, Xitao Ma

Abstract

Death-associated protein kinase 1 (DAPK) is an important serine/threonine kinase involved in various cellular processes, including apoptosis, autophagy, and inflammation. DAPK expression and activity are deregulated in a variety of diseases including cancer. Methylation of the DAPK gene is common in many types of cancer and can lead to loss of DAPK expression. However, the association between DAPK promoter hypermethylation and the clinicopathological significance of lung cancer remains unclear. In this study, we searched the MEDLINE, PubMed, Web of Science, and Scopus databases, systematically investigated the studies of DAPK promoter hypermethylation in lung cancer and quantified the association between DAPK promoter hypermethylation and its clinicopathological significance by meta-analysis. We observed that the frequency of DAPK methylation was significantly higher in lung cancer than in non-malignant lung tissues (odds ratio 6.02, 95% confidence interval 3.17-11.42, P<0.00001). The pooled results also showed the presence of a prognostic impact of DAPK gene methylation in lung cancer patients (odds ratio 3.63, 95% confidence interval 1.09-12.06, P=0.04). In addition, we summarized these findings and discuss tumor suppressor function, clinicopathological significance, and potential drug targeting of DAPK in lung cancer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 27%
Researcher 2 13%
Lecturer 1 7%
Student > Master 1 7%
Other 1 7%
Other 0 0%
Unknown 6 40%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 40%
Medicine and Dentistry 2 13%
Agricultural and Biological Sciences 1 7%
Unknown 6 40%
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 08 April 2015.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from Drug Design, Development and Therapy
#1,440
of 2,270 outputs
Outputs of similar age
#200,316
of 271,077 outputs
Outputs of similar age from Drug Design, Development and Therapy
#44
of 70 outputs
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