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血清p16基因启动子甲基化用于诊断非小细胞肺癌的荟萃分析。

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

作者信息

Yan R, Chi L, Zheng X, Sun R, You J, Ye X

机构信息

Department of Respiratory Medicine, The Second Affiliated Hospital of Shandong University of Chinese Medicine, Jinan City, Shizhong District, Shandong Province 250001, China.

出版信息

Indian J Cancer. 2015 Dec;52 Suppl 2:e116-8. doi: 10.4103/0019-509X.172507.

Abstract

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.

摘要

目的

评估血清p16基因启动子甲基化对非小细胞肺癌(NSCLC)的诊断价值。

材料与方法

通过检索PubMed和CNKI数据库,纳入所有已发表的有关血清p16基因启动子甲基化与非小细胞肺癌的文章。由评审人员提取各纳入文献的真阳性、假阳性、假阴性和真阴性数据。采用MetaDiSc1.4软件汇总诊断敏感性、特异性、阳性似然比、阴性似然比及受试者工作特征曲线(ROC)下面积。

结果

最终,13篇文献共1440例受试者纳入该诊断性Meta分析。采用随机效应模型,汇总敏感性和特异性分别为0.25(95%置信区间[CI]:0.18 - 0.32)和0.95(95%CI:0.93 - 0.97)。采用固定效应模型和随机效应模型时,汇总阳性似然比和阴性似然比分别为5.08(95%CI:3.00 - 8.62)和0.69(95%CI:0.62 - 0.77)。根据贝叶斯定理,采用统计软件MetaDiSc14.0汇总纳入的13篇文献的诊断ROC曲线。汇总ROC下面积为0.72,标准误为0.10。

结论

根据已发表文章,该Meta分析发现p16基因启动子甲基化诊断NSCLC具有高特异性和低敏感性。

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