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Sökning: WFRF:(Guida Florence) > (2024) > Blood-based DNA met...

Blood-based DNA methylation markers for lung cancer prediction

Onwuka, Justina Ucheojor (författare)
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
Guida, Florence (författare)
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
Langdon, Ryan (författare)
Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom
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Johansson, Mikael (författare)
Umeå universitet,Onkologi
Severi, Gianluca (författare)
Exposome Heredity, Cancer and Health' Team, Gustave Roussy, Universite Paris-Saclay, Ile-de-France, Villejuif, France; Department of Statistics, Computer Science, University of Florence, Toscana, Firenze, Italy
Milne, Roger L. (författare)
Cancer Epidemiology Division, Cancer Council Victoria, VIC, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, VIC, Melbourne, Australia; Precision Medicine, School of Clinical Sciences, Monash Health, Monash University, VIC, Clayton, Australia
Dugué, Pierre-Antoine (författare)
Cancer Epidemiology Division, Cancer Council Victoria, VIC, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, VIC, Melbourne, Australia; Precision Medicine, School of Clinical Sciences, Monash Health, Monash University, VIC, Clayton, Australia
Southey, Melissa C. (författare)
Cancer Epidemiology Division, Cancer Council Victoria, VIC, Melbourne, Australia; Precision Medicine, School of Clinical Sciences, Monash Health, Monash University, VIC, Clayton, Australia; Department of Clinical Pathology, Melbourne Medical School, The University of Melbourne, VIC, Melbourne, Australia
Vineis, Paolo (författare)
MRC Centre for Environment and Health, School of Public Health, Imperial College London, London, United Kingdom
Sandanger, Torkjel (författare)
Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Troms, Tromso, Norway
Nøst, Therese Haugdahl (författare)
Department of Community Medicine, Faculty of Health Sciences, UiT the Arctic University of Norway, Troms, Tromso, Norway
Chadeau-Hyam, Marc (författare)
School of Public Health, Imperial College London, London, United Kingdom; MRC Centre for Environment and Health, Imperial College London, London, United Kingdom
Relton, Caroline (författare)
MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, Bristol, United Kingdom
Robbins, Hilary A. (författare)
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
Suderman, Matthew (författare)
MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, Bristol, United Kingdom
Johansson, Mattias (författare)
Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
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 (creator_code:org_t)
BMJ Publishing Group Ltd, 2024
2024
Engelska.
Ingår i: BMJ Oncology. - : BMJ Publishing Group Ltd. - 2752-7948. ; 3:1
Relaterad länk:
https://doi.org/10.1...
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https://umu.diva-por... (primary) (Raw object)
https://urn.kb.se/re...
https://doi.org/10.1...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Objective: Screening high-risk individuals with low-dose CT reduces mortality from lung cancer, but many lung cancers occur in individuals who are not eligible for screening. Risk biomarkers may be useful to refine risk models and improve screening eligibility criteria. We evaluated if blood-based DNA methylation markers can improve a traditional lung cancer prediction model.Methods and analysis: This study used four prospective cohorts with blood samples collected prior to lung cancer diagnosis. The study was restricted to participants with a history of smoking, and one control was individually matched to each lung cancer case using incidence density sampling by cohort, sex, date of blood collection, age and smoking status. To train a DNA methylation-based risk score, we used participants from Melbourne Collaborative Cohort Study-Australia (n=648) and Northern Sweden Health and Disease Study-Sweden (n=380) based on five selected CpG sites. The risk discriminative performance of the methylation score was subsequently validated in participants from European Investigation into Cancer and Nutrition-Italy (n=267) and Norwegian Women and Cancer-Norway (n=185) and compared with that of the questionnaire-based PLCOm2012 lung cancer risk model.Results: The area under the receiver operating characteristic curve (AUC) for the PLCOm2012 model in the validation studies was 0.70 (95% CI: 0.65 to 0.75) compared with 0.73 (95% CI: 0.68 to 0.77) for the methylation score model (P difference =0.07). Incorporating the methylation score with the PLCOm2012 model did not improve the risk discrimination (AUC: 0.73, 95% CI: 0.68 to 0.77, P difference =0.73).Conclusions: This study suggests that the methylation-based risk prediction score alone provides similar lung cancer risk-discriminatory performance as the questionnaire-based PLCOm2012 risk model.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)

Nyckelord

Biomarkers
Epidemiology
Lung cancer (non-small cell)
Lung cancer (small-cell)

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