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

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 d...

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Autores principales: Zhang, Zhen, Yan, Shaohui, Cui, Haijing, Chen, Hui, Liu, Jianming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Scientific Literature, Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676991/
https://www.ncbi.nlm.nih.gov/pubmed/31342946
http://dx.doi.org/10.12659/MSM.917457
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author Zhang, Zhen
Yan, Shaohui
Cui, Haijing
Chen, Hui
Liu, Jianming
author_facet Zhang, Zhen
Yan, Shaohui
Cui, Haijing
Chen, Hui
Liu, Jianming
author_sort Zhang, Zhen
collection PubMed
description 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.
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spelling pubmed-66769912019-09-23 Correlation Between RASSF1A Gene Promoter Hypermethylation in Serum or Sputum and Non-Small Cell Lung Cancer (NSCLC): A Meta-Analysis Zhang, Zhen Yan, Shaohui Cui, Haijing Chen, Hui Liu, Jianming Med Sci Monit Meta-Analysis 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. International Scientific Literature, Inc. 2019-07-25 /pmc/articles/PMC6676991/ /pubmed/31342946 http://dx.doi.org/10.12659/MSM.917457 Text en © Med Sci Monit, 2019 This work is licensed under Creative Common Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) )
spellingShingle Meta-Analysis
Zhang, Zhen
Yan, Shaohui
Cui, Haijing
Chen, Hui
Liu, Jianming
Correlation Between RASSF1A Gene Promoter Hypermethylation in Serum or Sputum and Non-Small Cell Lung Cancer (NSCLC): A Meta-Analysis
title Correlation Between RASSF1A Gene Promoter Hypermethylation in Serum or Sputum and Non-Small Cell Lung Cancer (NSCLC): A Meta-Analysis
title_full Correlation Between RASSF1A Gene Promoter Hypermethylation in Serum or Sputum and Non-Small Cell Lung Cancer (NSCLC): A Meta-Analysis
title_fullStr Correlation Between RASSF1A Gene Promoter Hypermethylation in Serum or Sputum and Non-Small Cell Lung Cancer (NSCLC): A Meta-Analysis
title_full_unstemmed Correlation Between RASSF1A Gene Promoter Hypermethylation in Serum or Sputum and Non-Small Cell Lung Cancer (NSCLC): A Meta-Analysis
title_short Correlation Between RASSF1A Gene Promoter Hypermethylation in Serum or Sputum and Non-Small Cell Lung Cancer (NSCLC): A Meta-Analysis
title_sort correlation between rassf1a gene promoter hypermethylation in serum or sputum and non-small cell lung cancer (nsclc): a meta-analysis
topic Meta-Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6676991/
https://www.ncbi.nlm.nih.gov/pubmed/31342946
http://dx.doi.org/10.12659/MSM.917457
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