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

Background:

Biological 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.

Methods:

We 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 (PLCOm₂₀₁₂) lung cancer risk model.

Results:

We 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 (R² < 11%), except for PCGrimAge, where it accounted for ~ 30% of variance in both lung cancer cases and controls. Detailed smoking adjustments attenuated the PCGrimAge association with lung cancer risk by 13%. In a secondary analysis adjusting for PCGrimAge components and the PLCOm2012 score, DNA methylation-predicted packyears emerged as an independent predictor of lung cancer risk (OR = 2.23, 95% CI = 1.58–3.14). The area under the receiver operating characteristic curve (AUC) for the PLCOm₂₀₁₂ model was 0.66 (95% CI = 0.61–0.71) compared with 0.72 (95% CI = 0.67–0.77) for the PCGrimAge model (P_difference = 0.03). Combining PCGrimAge with PLCOm2012 provided similar risk discrimination as PCGrimAge alone (AUC = 0.72, 95% CI = 0.67–0.77).

Conclusions:

Methylation-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.