ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2022
AHRR (cg05575921) Methylation Safely Improves Specificity of Lung Cancer Screening Eligibility Criteria: A Cohort Study.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
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17 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- A systematic review and meta-analysis of lung cancer risk prediction models.Acta oncologica (Stockholm, Sweden) · 2025Pooled it
- A DNA Methylation-based algorithm Improves Lung Cancer risk prediction in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial.Lung cancer (Amsterdam, Netherlands) · 2026Article
- Blood-based DNA methylation marker model for short-term and long-term lung cancer risk prediction.BMC medicine · 2026Article
- Epigenetic Alterations Induced by Smoking and Their Intersection with Artificial Intelligence: A Narrative Review.International journal of environmental research and public health · 2025Review
- Updates in Lung Cancer Screening: A Decade of Evidence.Seminars in respiratory and critical care medicine · 2025Review
- Examining the timing of trauma, PTSD onset, and DNA methylation: A multicohort investigation of candidate CpG sites.Journal of psychiatric research · 2025Article
- Article
- Exposure-associated DNA methylation among people exposed to multiple industrial pollutants.Clinical epigenetics · 2024Article
- Lung cancer screening: where do we stand?Breathe (Sheffield, England) · 2024Review
- Blood-based DNA methylation markers for lung cancer prediction.BMJ oncology · 2024Article
- Blood LeukocyteCancer research communications · 2023Article
- Enhanced selection of people for lung cancer screening using AHRR (cg05575921) or F2RL3 (cg03636183) methylation as biological markers of smoking exposure.Cancer communications (London, England) · 2023Article
- Lung Cancer Screening with Low-Dose CT: What We Have Learned in Two Decades of ITALUNG and What Is Yet to Be Addressed.Diagnostics (Basel, Switzerland) · 2023Review
- Epigenetic biomarkers for smoking cessation.Addiction neuroscience · 2023Article
- Genes and the Environment in Cancer: Focus on Environmentally Induced DNA Methylation Changes.Cancers · 2023Article
- Using Cg05575921 methylation to predict lung cancer risk: a potentially bias-free precision epigenetics approach.Epigenetics · 2022Article
- Biomarker-Based Lung Cancer Screening Eligibility: Implementation Considerations.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Article
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4 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundScreening reduces lung cancer mortality, but specificities of eligibility criteria are low. We tested if leukocyte AHRR(cg05575921) methylation improves specificity of lung cancer screening eligibility criteria.
methodsA total of 9,206 and 5,370 individuals of the 1991 to 1994 and 2001 to 2003 examinations of the Copenhagen City Heart Study, Denmark, were followed for lung cancer within 5 years after examination and mortality. Screening eligibility criteria (DANTE, DLCST, ITALUNG, LUSI, NELSON, NLST, and PLCOM2012) were evaluated, and AHRR (cg05575921) methylation extent at different methylation cut points was added. The model with the lowest number of eligible individuals per 5-year lung cancer was validated within the 2001 to 2003 examination.
resultsEligibility criteria identified risk-groups ranging from 3,182 (DANTE) to 1,641 (ITALUNG) individuals. The positive predictive value was highest for PLCOM2012 (3.2%), while DANTE showed the highest negative predictive value (99.7%). Adding AHRR (cg05575921) methylation led to higher specificities for all criteria. Number of eligible individuals per 5-year lung cancer varied from 38 (NELSON) to 27 (NLST) with AHRR (cg05575921) methylation <55%. This last model led to a 21.9% lower screening burden and increased (P < 0.05) specificity of 84.0%. Findings were reproduced among the 5,334 individuals of the 2001 to 2003 examination.
conclusionsAdding AHRR (cg05575921) methylation on top of current eligibility criteria for lung cancer screening improves specificity by excluding those individuals with the lowest risk. IMPACT: The results point toward a potential clinical use of AHRR (cg05575921) methylation, which is a cost-effective measurement compared with lung CT scanning, to provide additional predictive risk information to identify eligible smokers for lung cancer screening. See related commentary by Hung, p. 698.
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