ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2014
The cytokinesis-blocked micronucleus assay as a strong predictor of lung cancer: extension of a lung cancer risk prediction model.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Predictive performance of risk prediction models for lung cancer incidence in Western and Asian countries: a systematic review and meta-analysis.Scientific reports · 2025Pooled it
- Development and validation of a tumor marker-based model for the prediction of lung cancer: an analysis of a multicenter retrospective study in Shanghai, China.Frontiers in oncology · 2024Article
- Increased oxidative and chromosomal DNA damage in patients with ankylosing spondylitis: its role in pathogenesis.Clinical and experimental medicine · 2023Article
- [Construction of a Risk Prediction Model for Lung Cancer Based on Lifestyle Behaviors in the UK Biobank Large-Scale Population Cohort].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Article
- Lung Cancer Risk Prediction Nomogram in Nonsmoking Chinese Women: Retrospective Cross-sectional Cohort Study.JMIR public health and surveillance · 2023Article
- Lung cancer screening: who pays? Who receives? The European perspectives.Translational lung cancer research · 2021Review
- Construction and Validation of a Lung Cancer Risk Prediction Model for Non-Smokers in China.Frontiers in oncology · 2021Article
- Mitotic Spindle Apparatus Abnormalities in Chronic Obstructive Pulmonary Disease Cells: A Potential Pathway to Lung Cancer.Cancer prevention research (Philadelphia, Pa.) · 2020Article
- Recommendations for Implementing Lung Cancer Screening with Low-Dose Computed Tomography in Europe.Cancers · 2020Review
- Risk prediction model for lung cancer incorporating metabolic markers: Development and internal validation in a Chinese population.Cancer medicine · 2020Article
- Therapeutic effects of statins on chromosomal DNA damage of dyslipidemic patients.Experimental biology and medicine (Maywood, N.J.) · 2019Article
- The cytokinesis-blocked micronucleus assay as a novel biomarker for selection of lung cancer screening participants.Translational lung cancer research · 2018Article
- Chronic obstructive pulmonary disease among lung cancer-free smokers: The importance of healthy controls.Respiratory investigation · 2018Article
- Applying Risk Prediction Models to Optimize Lung Cancer Screening: Current Knowledge, Challenges, and Future Directions.Current epidemiology reports · 2017Article
- Risk prediction models for selection of lung cancer screening candidates: A retrospective validation study.PLoS medicine · 2017Article
- Increased Chromosomal and Oxidative DNA Damage in Patients with Multinodular Goiter and Their Association with Cancer.International journal of endocrinology · 2017Article
- Ultrastructural changes during lung carcinogenesis-modulation by curcumin and quercetin.Oncology letters · 2016Article
- Should Never-Smokers at Increased Risk for Lung Cancer Be Screened?Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2015Article
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11 authors.
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Abstract
backgroundThere is an urgent need to improve lung cancer outcome by identifying and validating markers of risk. We previously reported that the cytokinesis-blocked micronucleus assay (CBMN) is a strong predictor of lung cancer risk. Here, we validate our findings in an independent external lung cancer population and test discriminatory power improvement of the Spitz risk prediction model upon extension with this biomarker.
methodsA total of 1,506 participants were stratified into a test set of 995 (527 cases/468 controls) from MD Anderson Cancer Center (Houston, TX) and a validation set of 511 (239 cases/272 controls) from Massachusetts General Hospital (Boston, MA). An epidemiologic questionnaire was administered and genetic instability was assessed using the CBMN assay.
resultsExcellent concordance was observed between the two populations in levels and distribution of CBMN endpoints [binucleated-micronuclei (BN-MN), binucleated-nucleoplasmic bridges (BN-NPB)] with significantly higher mean BN-MN and BN-NPB values among cases (P < 0.0001). Extension of the Spitz model led to an overall improvement in the AUC (95% confidence intervals) from 0.61 (55.5-65.7) with epidemiologic variables to 0.92 (89.4-94.2) with addition of the BN-MN endpoint. The most dramatic improvement was observed with the never-smokers extended model followed by the former and current smokers.
conclusionsThe CBMN assay is a sensitive and specific predictor of lung cancer risk, and extension of the Spitz risk prediction model led to an AUC that may prove useful in population screening programs to identify the "true" high-risk individuals. IMPACT: Identifying high-risk subgroups that would benefit from screening surveillance has immense public health significance.
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