open access publication

Preprint, 2024

Road traffic noise and breast cancer: DNA methylation in four core circadian genes

Research Square, 10.21203/rs.3.rs-4411303/v1

Contributors

Thacher, Jesse Daniel 0000-0003-4908-9715 [1] Snigireva, Anastasiia [2] Dauter, Ulrike Maria [2] Oudin, Anna 0000-0002-9876-0627 [1] Mattisson, Kristoffer 0000-0002-3334-9458 [1] Sørensen, Mette Sørup 0000-0002-7302-4789 [3] Borgquist, Signe 0000-0001-7938-8893 [4] Albin, Maria 0000-0002-6613-4437 [1] Broberg, Karin E 0000-0002-5862-468X [1]

Affiliations

  1. [1] Lund University
  2. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  3. [2] Karolinska Institutet
  4. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  5. [3] Roskilde University
  6. [NORA names: RUC Roskilde University; University; Denmark; Europe, EU; Nordic; OECD];
  7. [4] Aarhus University Hospital, Aarhus University
  8. [NORA names: Miscellaneous]

Abstract

Background

Transportation noise has been linked with breast cancer, but existing literature is conflicting. One proposed mechanism is that transportation noise disrupts sleep and the circadian rhythm. We investigated the relationships between road traffic noise, DNA methylation in circadian rhythm genes, and breast cancer. We selected 610 female participants (318 breast cancer cases and 292 controls) enrolled into the Malmö, Diet, and Cancer cohort. DNA methylation of CpGs (N = 29) in regulatory regions of circadian rhythm genes (CRY1, BMAL1, CLOCK, and PER1) were assessed by pyrosequencing of DNA from lymphocytes collected at enrollment. To assess associations between modelled 5-year mean residential road traffic noise and differentially methylated CpG positions, we used linear regression models adjusting for potential confounders, including sociodemographics, shiftwork, and air pollution. Linear-mixed effects models were used to evaluate road traffic noise and differentially methylated regions. Unconditional logistic regression was used to investigate CpG methylation and breast cancer.

Results

We found that higher mean road traffic noise was associated with lower DNA methylation of three CRY1 CpGs (CpG1, CpG2, and CpG12) and three BMAL1 CpGs (CpG2, CpG6, and CpG7). Road traffic noise was also associated with differential methylation of CRY1 and BMAL1 regions. In CRY1 CpG2 and CpG5 and in CLOCK CpG1, increasing levels of methylation tended to be associated with lower odds of breast cancer, with odds ratios (OR) of 0.88 (95% confidence interval (CI): 0.76–1.02), 0.84 (95% CI: 0.74–0.96), and 0.80 (95% CI: 0.68–0.94), respectively.

Conclusions

In summary, our data suggests that DNA hypomethylation in CRY1 could be part of a causal chain from road traffic noise to breast cancer. This is consistent with the hypothesis that disruption of the circadian rhythm, e.g., from road traffic noise exposure, increases the risk for breast cancer. Since no prior studies have explored this association, it is essential to replicate our results.

Keywords

CpG, CpG methylation, CpG positions, CpG1, CpG2, CpG5, CpGs, DNA, DNA hypomethylation, DNA methylation, air, air pollution, associated with differential methylation, associated with lower DNA methylation, associated with lower odds, association, breast, breast cancer, cancer, cancer cohort, causal chains, chain, circadian genes, circadian rhythm, circadian rhythm genes, cohort, confounding, core, core circadian genes, data, diet, differential methylation, differentially methylated CpG positions, differentiation, disruption, effects model, enrollment, exposure, female participants, genes, hypomethylation, hypothesis, increased levels, increased levels of methylation, investigated CpG methylation, levels of methylation, linear mixed effects models, linear regression models, literature, logistic regression, lower DNA methylation, lower odds, lymphocytes, mechanism, methylation, methylation of CpGs, model, noise, noise exposure, odds, odds ratio, participants, pollution, position, potential confounders, pyrosequencing, pyrosequencing of DNA, ratio, region, regression, regression models, regulatory regions, relationship, residential road traffic noise, results, rhythm, rhythm genes, risk, road, road traffic noise, road traffic noise exposure, shiftwork, sociodemographics, study, traffic noise, traffic noise exposure, transport, transportation noise, unconditional logistic regression

Data Provider: Digital Science