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 ORIGINAL ARTICLE
Year : 2015  |  Volume : 52  |  Issue : 6  |  Page : 116-118

A meta-analysis of serum p16 gene promoter methylation for diagnosis of nonsmall cell lung cancer


1 Department of Occupational Disease, The Second Affiliated Hospital of Shandong University of Chinese Medicine, Jinan City, Shizhong District, Shandong Province 250001, China
2 Department of Basic Science, School of Traditional Chinese Medicine, Capital Medical University, Youanmenwai, Xitoutiao, Fengtai District, Beijing 100069, China
3 Department of Respiratory Medicine, The Second Affiliated Hospital of Shandong University of Chinese Medicine, Jinan City, Shizhong District, Shandong Province 250001, China

Correspondence Address:
X Zheng
Department of Respiratory Medicine, The Second Affiliated Hospital of Shandong University of Chinese Medicine, Jinan City, Shizhong District, Shandong Province 250001, China
China
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Source of Support: None, Conflict of Interest: None


DOI: 10.4103/0019-509X.172507

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Objectives: To evaluate the diagnostic value of serum p16 gene promoter methylation for diagnosis of nonsmall cell lung cancer (NSCLC). Materials and Methods: By searching the databases of PubMed and CNKI, we included all the published articles related serum p16 gene promoter methylation and nonsmall lung cancer. The true positive, false positive, false negative, and true negative data for each included publication were extracted by the reviewers. The diagnostic sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and area under the receiver operating characteristic (ROC) were pooled by MetaDiSc1.4 software. Results: Finally, 13 manuscripts with 1440 subjects were involving in this diagnostic meta-analysis. The pooled sensitivity and specificity were 0.25 (95% confidence interval [CI]: 0.18–0.32) and 0.95 (95% CI: 0.93–0.97), respectively, with randomized effect model. The pooled positive likelihood ratio and negative likelihood ratio were 5.08 (95% CI: 3.00–8.62) and 0.69 (95% CI: 0.62–0.77) with fixed effect model and randomized effect model, respectively. The diagnostic ROC curve for the included 13 publications was pooled by statistical software MetaDiSc14.0 according to the Bayes theorem. The pooled area under the ROC was 0.72 with its standard error of 0.10. Conclusion: According to the published articles, high specificity and low sensitivity were found in this meta-analysis for the p16 gene promoter methylation in the diagnosis of NSCLC.






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