Polymorphisms in genes of melatonin biosynthesis and signaling support the light-at-night hypothesis for breast cancer

  • Katharina Wichert
  • Reiner Hoppe
  • Katja Ickstadt
  • Thomas Behrens
  • Stefan Winter
  • Robert Herold
  • Claudia Terschüren
  • Wing-Yee Lo
  • Pascal Guénel
  • Thérèse Truong
  • Manjeet K Bolla
  • Qin Wang
  • Joe Dennis
  • Kyriaki Michailidou
  • Michael Lush
  • Irene L Andrulis
  • Hermann Brenner
  • Jenny Chang-Claude
  • Angela Cox
  • Simon S Cross
  • Kamila Czene
  • Mikael Eriksson
  • Jonine D Figueroa
  • Montserrat García-Closas
  • Mark S Goldberg
  • Ute Hamann
  • Wei He
  • Bernd Holleczek
  • John L Hopper
  • Anna Jakubowska
  • Yon-Dschun Ko
  • Jan Lubiński
  • Anna Marie Mulligan
  • Nadia Obi
  • Valerie Rhenius
  • Mitul Shah
  • Xiao-Ou Shu
  • Jacques Simard
  • Melissa C Southey
  • Wei Zheng
  • Alison M Dunning
  • Paul D P Pharoah
  • Per Hall
  • Douglas F Easton
  • Thomas Brüning
  • Hiltrud Brauch
  • Volker Harth
  • Sylvia Rabstein

Abstract

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. rs1386483R ∧ rs1473473D ∧ rs3729931D: 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.

Bibliografische Daten

OriginalspracheEnglisch
ISSN0393-2990
DOIs
StatusVeröffentlicht - 10.2023

Anmerkungen des Dekanats

© 2023. The Author(s).

PubMed 37789226