SynthesisThoracic cancer2021
APC gene promoter methylation as a potential biomarker for lung cancer diagnosis: A meta-analysis.
Synthesis in Thoracic cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- APC gene promoter methylation as a potential biomarker for lung cancer diagnosis: A meta-analysis.Thoracic cancer · 2021Pooled it
- SAM486A-induced inhibition of AMD1: metabolic and epigenetic implications in non-small cell lung cancer cells.Metabolomics : Official journal of the Metabolomic Society · 2025Article
- Epigenetic modifications in early stage lung cancer: pathogenesis, biomarkers, and early diagnosis.MedComm · 2025Review
- Epigenomic Echoes-Decoding Genomic and Epigenetic Instability to Distinguish Lung Cancer Types and Predict Relapse.Epigenomes · 2025Review
- Constructing methylation-driven ceRNA networks unveil tumor heterogeneity and predict patient prognosis.Human molecular genetics · 2025Article
- Epigenetic regulation of the tumor microenvironment in lung cancer: mechanism insights and therapeutic prospects.Frontiers in immunology · 2025Review
- Effects of DNA methylation and its application in inflammatory bowel disease (Review).International journal of molecular medicine · 2024Review
- Advancements in the clinical application of gene methylation for early cancer detection.Frontiers in epigenetics and epigenomics · 2024Review
- Integrated ACMG-approved genes and ICD codes for the translational research and precision medicine.Database : the journal of biological databases and curation · 2023Article
- Exosomal miR-125b-5p derived from cancer-associated fibroblasts promotes the growth, migration, and invasion of pancreatic cancer cells by decreasing adenomatous polyposis coli (APC) expression.Journal of gastrointestinal oncology · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this study was to quantitatively analysis the diagnostic performance of adenomatous polyposis coli (APC) gene promoter methylation in serum or sputum/bronchoalveolar lavage fluid (BLAF) as a biomarker for lung cancer identification through pooling of open published data.
methodsThe relevant electronic MEDLINE, EMBASE, Ovid, web of science and CNKI databases were systematically searched to identify the studies related to APC gene promoter methylation for lung cancer diagnosis. Data of true positive (tp), false positive (fp), false negative (fn) and true negative (tn) were extracted from the publications included in the study. The pooled diagnostic sensitivity, specificity and area under summary receiver operating characteristic (SROC) curve (AUC-SROC) of APC gene promoter methylation were calculated. Publication bias was evaluated by Begg's funnel plot and Egger's line regression test.
resultsFourteen studies associated with APC gene promoter methylation and lung cancer were identified in the databases and finally included in the meta-analysis. The data was pooled using a random effect model due to significant statistical heterogeneity across the 14 studies (p < 0.05). Using the APC gene promoter methylation as a reference for lung cancer identification, the pooled diagnostic sensitivity and specificity were 0.43 (95% CI: 0.40-0.45), and 0.92 (95% CI: 0.90-0.95), respectively with combined diagnostic positive likelihood ratio (+LR) and negative likelihood ratio (-LR) of 7.15 (95% CI: 3.62-14.12) and 0.63 (95% CI: 0.57-0.71). The pooled diagnostic odds ratio (DOR) and AUC-SROC of APC gene promoter methylation for lung cancer diagnosis were 9.84 (95% CI: 5.77-16.79) and 0.7, respectively. The Begg's funnel plot and Egger's line regression test both indicated statistical publication bias (t = 5.40, p < 0.05).
conclusionsAPC gene promoter methylation in serum or sputum/BLAF is a potential biomarker for lung cancer diagnosis with high specificity. However, due to its low sensitivity, it may not be suitable for lung cancer screening in the general population.
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