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Meta-analysis of the accuracy for RASSF1A methylation in bronchial aspirates for the diagnosis of lung cancer
by
Chen, Meng-you
, Chen, Xu-ping
, Chen, Fu-bin
, Zhao, Ling-yan
, Xiong, Xiao-min
, Zeng, Jia
, He, Shi-xu
, Shi, Ping
, Zhao, Shi-cai
, Wu, Peng
in
Accuracy
/ Analysis
/ Bias
/ Biology and life sciences
/ Biomarkers
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Bronchi - metabolism
/ Bronchi - pathology
/ Bronchoscopy
/ Cancer
/ Cell cycle
/ Correlation coefficient
/ Correlation coefficients
/ Diagnosis
/ Diagnostic systems
/ DNA Methylation
/ Genes
/ Humans
/ Lavage
/ Likelihood ratio
/ Lung cancer
/ Lung diseases
/ Lung Neoplasms - diagnosis
/ Lung Neoplasms - genetics
/ Lung Neoplasms - metabolism
/ Medical diagnosis
/ Medicine and Health Sciences
/ Meta-analysis
/ Methylation
/ Mortality
/ Physical Sciences
/ Research and Analysis Methods
/ Sensitivity analysis
/ Sensitivity and Specificity
/ Small cell lung carcinoma
/ Subgroups
/ Tumor Suppressor Proteins - genetics
/ Tumor Suppressor Proteins - metabolism
2024
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Meta-analysis of the accuracy for RASSF1A methylation in bronchial aspirates for the diagnosis of lung cancer
by
Chen, Meng-you
, Chen, Xu-ping
, Chen, Fu-bin
, Zhao, Ling-yan
, Xiong, Xiao-min
, Zeng, Jia
, He, Shi-xu
, Shi, Ping
, Zhao, Shi-cai
, Wu, Peng
in
Accuracy
/ Analysis
/ Bias
/ Biology and life sciences
/ Biomarkers
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Bronchi - metabolism
/ Bronchi - pathology
/ Bronchoscopy
/ Cancer
/ Cell cycle
/ Correlation coefficient
/ Correlation coefficients
/ Diagnosis
/ Diagnostic systems
/ DNA Methylation
/ Genes
/ Humans
/ Lavage
/ Likelihood ratio
/ Lung cancer
/ Lung diseases
/ Lung Neoplasms - diagnosis
/ Lung Neoplasms - genetics
/ Lung Neoplasms - metabolism
/ Medical diagnosis
/ Medicine and Health Sciences
/ Meta-analysis
/ Methylation
/ Mortality
/ Physical Sciences
/ Research and Analysis Methods
/ Sensitivity analysis
/ Sensitivity and Specificity
/ Small cell lung carcinoma
/ Subgroups
/ Tumor Suppressor Proteins - genetics
/ Tumor Suppressor Proteins - metabolism
2024
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Meta-analysis of the accuracy for RASSF1A methylation in bronchial aspirates for the diagnosis of lung cancer
by
Chen, Meng-you
, Chen, Xu-ping
, Chen, Fu-bin
, Zhao, Ling-yan
, Xiong, Xiao-min
, Zeng, Jia
, He, Shi-xu
, Shi, Ping
, Zhao, Shi-cai
, Wu, Peng
in
Accuracy
/ Analysis
/ Bias
/ Biology and life sciences
/ Biomarkers
/ Biomarkers, Tumor - genetics
/ Biomarkers, Tumor - metabolism
/ Bronchi - metabolism
/ Bronchi - pathology
/ Bronchoscopy
/ Cancer
/ Cell cycle
/ Correlation coefficient
/ Correlation coefficients
/ Diagnosis
/ Diagnostic systems
/ DNA Methylation
/ Genes
/ Humans
/ Lavage
/ Likelihood ratio
/ Lung cancer
/ Lung diseases
/ Lung Neoplasms - diagnosis
/ Lung Neoplasms - genetics
/ Lung Neoplasms - metabolism
/ Medical diagnosis
/ Medicine and Health Sciences
/ Meta-analysis
/ Methylation
/ Mortality
/ Physical Sciences
/ Research and Analysis Methods
/ Sensitivity analysis
/ Sensitivity and Specificity
/ Small cell lung carcinoma
/ Subgroups
/ Tumor Suppressor Proteins - genetics
/ Tumor Suppressor Proteins - metabolism
2024
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Meta-analysis of the accuracy for RASSF1A methylation in bronchial aspirates for the diagnosis of lung cancer
Journal Article
Meta-analysis of the accuracy for RASSF1A methylation in bronchial aspirates for the diagnosis of lung cancer
2024
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Overview
To establish the diagnostic accuracy of RASSF1A (Ras association domain family 1 isoform) methylation using bronchial aspirates as an auxiliary method for diagnosing lung cancer through a systematic review and meta-analysis.
Studies published prior to October 30, 2022, were retrieved from the Embase, PubMed, Web of Science, and Wan Fang databases using the keywords \"lung cancer\", \"RASSF1A\", \"methylation\", and \"bronchial aspirates\". A fixed or random effect model was used to calculate the combined sensitivity, specificity, positive likelihood ratios (LR), negative LR, diagnostic odds ratio (DOR), along with the respective 95% confidence intervals (CIs) and the area under the curve (AUC) with Q index. The threshold effect was defined by using the Spearman correlation coefficient, and the Deeks funnel plot was generated to evaluate publication bias.
Among the 12 trials that met the inclusion criteria, a total of 2388 participants were involved. The pooled results for the diagnosis of lung cancer were as follows, when compared to the pathological diagnosis: sensitivity of 0.47 (95% CI: 0.45-0.50), specificity of 0.96 (95% CI: 0.95-0.97), positive LR of 12.18 (95% CI: 8.96-16.55), negative LR of 0.56 (95% CI: 0.52-0.61), DOR of 24.05 (95% CI: 17.29-33.47), and AUC of 0.78 (Q index = 0.72), respectively. The sensitivity of the RASSF1A methylation assay was relatively low in a detailed subgroup analysis, fluctuating between 0.39 and 0.90, indicating a limitation in its diagnostic value for lung cancer. The RASSF1A methylation assay, on the other hand, demonstrated excellent specificity, suggesting a high exclusion value. Of note, the diagnostic sensitivity, specificity, DOR, and AUC for small cell lung cancer were 0.90 (0.84-0.94), 0.95 (0.94-0.97), 249.5 (103.94-598.8), and 0.98, respectively, showing that RASSF1A methylation was a promising biomarker for diagnosing small cell lung cancer with both high diagnostic and exclusion value. Furthermore, RASSF1A methylation using bronchial washings and bronchial aspirates showed a high AUC of 0.998 and 0.93, respectively, indicating excellent diagnostic performance.
The methylation of RASSF1A in bronchial aspirates demonstrated a high level of diagnostic accuracy and has the potential to be a valuable supplementary diagnostic method, especially for identifying small cell lung cancer.
Publisher
Public Library of Science,Public Library of Science (PLoS)
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