Correlation Between RASSF1A Gene Promoter Hypermethylation in Serum or Sputum and Non-Small Cell Lung Cancer (NSCLC): A Meta-Analysis

被引:5
作者
Zhang, Zhen [1 ,2 ,3 ,4 ]
Yan, Shaohui [5 ]
Cui, Haijing [6 ]
Chen, Hui [1 ,2 ,3 ,4 ]
Liu, Jianming [7 ]
机构
[1] Tianjin Med Univ Canc Inst & Hosp, Dept Lung Canc, Tianjin, Peoples R China
[2] Tianjin Lung Canc Ctr, Tianjin, Peoples R China
[3] Tianjins Clin Res Ctr Canc, Tianjin Key Lab Canc Prevent & Therapy, Tianjin, Peoples R China
[4] Natl Clin Res Ctr Canc, Tianjin, Peoples R China
[5] Fourth Hosp Qinhuangdao, Dept Thorac Oncol, Qinhuangdao, Hebei, Peoples R China
[6] First Hosp Shijiazhuang, Dept Oncol, Shijiazhuang, Hebei, Peoples R China
[7] Tangshan Peoples Hosp, Dept Thorac Surg, Tangshan, Hebei, Peoples R China
来源
MEDICAL SCIENCE MONITOR | 2019年 / 25卷
关键词
Lung Neoplasms; Meta-Analysis; Methylation; METHYLATION; STATISTICS; CHINA;
D O I
10.12659/MSM.917457
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
Background: The aim of this study was to evaluate the efficacy of RASSF1A promoter hypermethylation of serum or sputum in diagnosis of non-small cell lung cancer (NSCLC) by pooling open published data. Material/Methods: Open-published studies relevant to RASSF1A promoter hypermethylation and NSCLC diagnosis were screened through Medline, EMBASE, the Cochrane Library, Web of Science, Google Scholar, and CBM. Number of cases of true positive (tp), false positive (fp), false negative (fn), and true negative (tn) by RASSF1A gene promoter hypermethylation was extracted from each of the include original studies. The combined diagnostic sensitivity, specificity, and symmetric receiver operating characteristic curve (SROC) were calculated, as was the effect size. Results: Twelve studies with 826 NSCLC and 598 controls were included in the present work. The combined sensitivity and specificity were 0.45 (95%CI: 0.41-0.48) (random effects) and 0.99(95%CI: 0.98-1.00) (fixed effects) respectively. The pooled positive likelihood ratio (+LR) and negative likelihood ratio (-LR) were 20.27 (9.64-42.61) and 0.53 (0.42-0.66), respectively, through the random effects model. The combined DOR was 46.63 (95%CI: 17.30-125.65) through the fixed effects model. The AUC of the SROC was 0.9989, calculated through Moses's model for RASSF1A promoter hypermethylation as a biomarker in diagnosis of NSCLC. Conclusions: The low diagnostic sensitivity for RASSF1A gene promoter hypermethylation indicated that it is not suitable for NSCLC screening. However, the high specificity made it effective for NSCLC confirmation diagnosis, which could be used instead of pathological diagnosis.
引用
收藏
页码:5518 / 5524
页数:7
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