Polymorphisms in genes of melatonin biosynthesis and signaling support the light-at-night hypothesis for breast cancer.
Katharina WichertReiner HoppeKatja IckstadtThomas BehrensStefan WinterRobert HeroldClaudia TerschürenWing-Yee LoPascal GuénelThérèse TruongManjeet K BollaQin WangJoe DennisKyriaki MichailidouMichael LushIrene L AndrulisHermann BrennerJenny Chang-ClaudeAngela CoxSimon S CrossKamila CzeneMikael ErikssonJonine D FigueroaMontserrat García-ClosasMark S GoldbergUte HamannWei HeBernd HolleczekJohn L HopperAnna JakubowskaYon-Dschun KoJan LubińskiAnna Marie MulliganNadia ObiValerie RheniusMitul ShahXiao-Ou ShuJacques SimardMelissa C SoutheyWei ZhengAlison M DunningPaul D P PharoahPer HallDouglas F EastonThomas BrüningHiltrud BrauchVolker HarthSylvia RabsteinPublished in: European journal of epidemiology (2023)
Light-at-night triggers the decline of pineal gland melatonin biosynthesis and secretion and is an IARC-classified probable breast-cancer risk factor. We applied a large-scale molecular epidemiology approach to shed light on the putative role of melatonin in breast cancer. We investigated associations between breast-cancer risk and polymorphisms at genes of melatonin biosynthesis/signaling using a study population of 44,405 women from the Breast Cancer Association Consortium (22,992 cases, 21,413 population-based controls). Genotype data of 97 candidate single nucleotide polymorphisms (SNPs) at 18 defined gene regions were investigated for breast-cancer risk effects. We calculated adjusted odds ratios (ORs) and 95% confidence intervals (CI) by logistic regression for the main-effect analysis as well as stratified analyses by estrogen- and progesterone-receptor (ER, PR) status. SNP-SNP interactions were analyzed via a two-step procedure based on logic regression. The Bayesian false-discovery probability (BFDP) was used for all analyses to account for multiple testing. Noteworthy associations (BFDP < 0.8) included 10 linked SNPs in tryptophan hydroxylase 2 (TPH2) (e.g. rs1386492: OR = 1.07, 95% CI 1.02-1.12), and a SNP in the mitogen-activated protein kinase 8 (MAPK8) (rs10857561: OR = 1.11, 95% CI 1.04-1.18). The SNP-SNP interaction analysis revealed noteworthy interaction terms with TPH2- and MAPK-related SNPs (e.g. rs1386483 R ∧ rs1473473 D ∧ rs3729931 D : OR = 1.20, 95% CI 1.09-1.32). In line with the light-at-night hypothesis that links shift work with elevated breast-cancer risks our results point to SNPs in TPH2 and MAPK-genes that may impact the intricate network of circadian regulation.
Keyphrases
- genome wide
- breast cancer risk
- dna methylation
- copy number
- oxidative stress
- risk factors
- high density
- cell proliferation
- risk assessment
- gene expression
- high throughput
- adipose tissue
- minimally invasive
- young adults
- machine learning
- pi k akt
- mass spectrometry
- physical activity
- human health
- insulin resistance
- breast cancer cells
- single molecule
- genetic diversity
- network analysis