Abstract
Objective To test the hypothesis that the association of smoking with long-term colorectal cancer incidence may be stronger for tumours with higher mutational and neoantigen loads. Methods and analysis In the Nurses' Health Study (1980-2012) and the Health Professionals Follow-up Study (1986-2012), our novel prospective cohort incident-tumour biobank method (PCIBM) used 3053 incident colorectal carcinoma cases including 752 cases with whole-exome sequencing data. Using the multivariable duplication-method Cox regression model with the inverse probability weighting to adjust for the selection bias due to tissue availability, we assessed a differential association of cigarette smoking with colorectal carcinoma incidence by an exome-wide tumour mutational burden (e-TMB) or neoantigen load. Results The association of pack-years smoked with colorectal cancer incidence differed by e-TMB (P heterogeneity <0.001). Multivariable-adjusted HRs for e-TMB-high (≥10 mutations/megabase) tumours were 1.28 (95% CI 0.72 to 2.28) and 2.56 (95% CI 1.61 to 4.07) for 1-19 and ≥20 pack-years (vs 0 pack-years; P trend <0.001), respectively. In contrast, pack-years smoked were not associated with e-TMB-low tumour incidence (P trend =0.67). A similar differential association was observed for the neoantigen load (P heterogeneity =0.017). The differential association by e-TMB appeared consistent in the strata of CpG island methylator phenotype status, BRAF mutation or lymphocytic infiltrates. Conclusions Smoking is more strongly associated with the long-term incidence of colorectal carcinoma harbouring higher mutational and neoantigen loads. Our PCIBM-based evidence supports the immunosuppressive effect of smoking and the potential of smoking cessation in improving antitumour immunity for cancer prevention and treatment.
Original language | English |
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Article number | e000787 |
Journal | BMJ Oncology |
Volume | 4 |
Issue number | 1 |
DOIs | |
State | Published - 3 Jun 2025 |
Externally published | Yes |
Keywords
- Colorectal cancer
- Epidemiology
- Genetic markers
- Immunogenicity
- Tumour biomarkers
All Science Journal Classification (ASJC) codes
- Oncology