Evidence map›Paper›PMID 41402808›Full record

ArticleBMC medicine2025

DNA methylation-based clocks, tobacco smoking, and lung cancer risk.

Ricardo Cortez Cardoso Penha, Justina Ucheojor Onwuka, Ryan Langdon, Torkjel M Sandanger, Therese Haugdahl Nøst, Paolo Vineis, Mikael Johansson, Roger L Milne, Pierre-Antoine Dugué, Caroline Relton and 3 more

Abstract read
In one paragraph

Article in BMC medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ricardo Cortez Cardoso Penha *Genomic Epidemiology Branch, International Agency for Research On Cancer, Lyon, France.
Justina Ucheojor Onwuka *Genomic Epidemiology Branch, International Agency for Research On Cancer, Lyon, France.
Ryan LangdonGenomic Epidemiology Branch, International Agency for Research On Cancer, Lyon, France.
Torkjel M SandangerDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromso, Troms, Norway.
Therese Haugdahl NøstDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromso, Troms, Norway.
Paolo VineisMRC Centre for Environment and Health, School of Public Health, Imperial College London, London, UK.
Mikael JohanssonDepartment of Radiation Sciences Oncology, Umeå University, Umea, Sweden.
Roger L MilneCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Pierre-Antoine DuguéCancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
Caroline ReltonResearch and Academic Development, London School of Hygiene and Tropical Medicine, London, UK.
Matthew SudermanMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School , University of Bristol, Bristol, UK.
James McKayGenomic Epidemiology Branch, International Agency for Research On Cancer, Lyon, France.
Mattias JohanssonGenomic Epidemiology Branch, International Agency for Research On Cancer, Lyon, France. johanssonm@iarc.who.int.

Funding

Cancer Research UK programme grant the Integrative Cancer Epidemiology Programme, C18281/A29019World Health Organization 001
6 · The paper itself

Abstract

backgroundBiological age, estimated by DNA methylation-based (DNAm) clocks, has been reported to be associated with lung cancer risk. However, the extent to which tobacco smoking behaviours can explain this association and the extent to which DNAm clocks and their components can inform risk assessment for lung cancer remains to be elucidated. This study aimed to evaluate the relationship between DNAm clocks, smoking, and lung cancer risk.

methodsWe analyzed four prospective cohorts (MCCS, Australia, 324 cases/324 controls; NSHDS, Sweden, 190 cases/190 controls; EPIC, Italy, 160 cases/107 controls; and NOWAC, Norway, 115 case/70 controls) with blood samples collected before lung cancer diagnosis. Study participants were restricted to those with a history of smoking. Incidence sampling was used to match one control to each of the lung cancer cases by cohort, sex, date of blood collection, age, and smoking status in MCCS and NSHDS. The risk discriminative performance of age-adjusted DNAm clocks and their components was compared with that of the Prostate, Lung, Colorectal, and Ovarian model 2012 (PLCO

resultsWe found several DNAm clocks positively associated with lung cancer risk (Hannum: OR = 1.13, 95% CI = 1.02-1.26; PhenoAge: OR = 1.25, 95% CI = 1.12-1.40; DunedinPACE: OR = 1.44, 95% CI = 1.29-1.62; PCGrimAge (a principal component-denoised GrimAge): OR = 1.79, 95% CI = 1.56-2.06), after adjustment for age and tobacco smoking. Tobacco smoking explained a modest proportion of variance in most age-adjusted DNAm clocks (R

conclusionsMethylation-based biological clocks capture epigenetic marks left by exposure to tobacco smoke, and some clocks may inform lung cancer risk assessment by complementing or replacing traditional prediction models.

Indexed as

DNA MethylationLung NeoplasmsTobacco SmokingAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedProspective StudiesRisk AssessmentRisk FactorsBiomarkersDNA methylation clocksEpidemiologyLung cancerTobacco smoking

Identifiers

PMID41402808
PMCPMC12821802

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.