Title |
Quantitative assessment of the diagnostic role of APC promoter methylation in non-small cell lung cancer
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Published in |
Clinical Epigenetics, March 2014
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DOI | 10.1186/1868-7083-6-5 |
Pubmed ID | |
Authors |
Shicheng Guo, Lixing Tan, Weilin Pu, Junjie Wu, Kuan Xu, Jinhui Wu, Qiang Li, Yanyun Ma, Jibin Xu, Li Jin, Jiucun Wang |
Abstract |
Adenomatous polyposis coli (APC) has been reported to be a candidate tumor suppressor in many cancers. However, the diagnostic role of APC promoter methylation in non-small cell lung cancer (NSCLC) remains unclear. We systematically integrated published articles and DNA methylation microarray data to investigate the diagnostic performance of the APC methylation test for NSCLC. Two thousand two hundred and fifty-nine NSCLC tumor samples and 1,039 controls were collected from 17 published studies and TCGA NSCLC data. The association between APC promoter methylation and NSCLC was evaluated in a meta-analysis. An independent DNA methylation microarray dataset from TCGA project, in which five CpG sites located in the promoter region of APC were involved, was used to validate the results of the meta-analysis. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 38% |
Canada | 1 | 13% |
United States | 1 | 13% |
Germany | 1 | 13% |
Unknown | 2 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 50% |
Scientists | 2 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 13% |
Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Netherlands | 1 | 3% |
United States | 1 | 3% |
Unknown | 30 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 16% |
Researcher | 5 | 16% |
Student > Master | 4 | 13% |
Student > Bachelor | 3 | 9% |
Professor > Associate Professor | 3 | 9% |
Other | 7 | 22% |
Unknown | 5 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 10 | 31% |
Biochemistry, Genetics and Molecular Biology | 8 | 25% |
Agricultural and Biological Sciences | 2 | 6% |
Computer Science | 1 | 3% |
Sports and Recreations | 1 | 3% |
Other | 3 | 9% |
Unknown | 7 | 22% |