RT Journal Article
T1 Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort.
A1 His, Mathilde
A1 Viallon, Vivian
A1 Dossus, Laure
A1 Schmidt, Julie A
A1 Travis, Ruth C
A1 Gunter, Marc J
A1 Overvad, Kim
A1 Kyrø, Cecilie
A1 Tjønneland, Anne
A1 Lécuyer, Lucie
A1 Rothwell, Joseph A
A1 Severi, Gianluca
A1 Johnson, Theron
A1 Katzke, Verena
A1 Schulze, Matthias B
A1 Masala, Giovanna
A1 Sieri, Sabina
A1 Panico, Salvatore
A1 Tumino, Rosario
A1 Macciotta, Alessandra
A1 Boer, Jolanda M A
A1 Monninkhof, Evelyn M
A1 Olsen, Karina Standahl
A1 Nøst, Therese H
A1 Sandanger, Torkjel M
A1 Agudo, Antonio
A1 Sánchez, Maria-Jose
A1 Amiano, Pilar
A1 Colorado-Yohar, Sandra M
A1 Ardanaz, Eva
A1 Vidman, Linda
A1 Winkvist, Anna
A1 Heath, Alicia K
A1 Weiderpass, Elisabete
A1 Huybrechts, Inge
A1 Rinaldi, Sabina
K1 Anthropometry
K1 Breast cancer
K1 Cross-sectional
K1 Lifestyle
K1 Metabolites
AB Metabolomics is a promising molecular tool for identifying novel etiological pathways leading to cancer. In an earlier prospective study among pre- and postmenopausal women not using exogenous hormones, we observed a higher risk of breast cancer associated with higher blood concentrations of one metabolite (acetylcarnitine) and a lower risk associated with higher blood concentrations of seven others (arginine, asparagine, phosphatidylcholines (PCs) aa C36:3, ae C34:2, ae C36:2, ae C36:3, and ae C38:2). To identify determinants of these breast cancer-related metabolites, we conducted a cross-sectional analysis to identify their lifestyle and anthropometric correlates in 2358 women, who were previously included as controls in case-control studies nested within the European Prospective Investigation into Cancer and Nutrition cohort and not using exogenous hormones at blood collection. Associations of each metabolite concentration with 42 variables were assessed using linear regression models in a discovery set of 1572 participants. Significant associations were evaluated in a validation set (n = 786). For the metabolites previously associated with a lower risk of breast cancer, concentrations of PCs ae C34:2, C36:2, C36:3, and C38:2 were negatively associated with adiposity and positively associated with total and saturated fat intakes. PC ae C36:2 was also negatively associated with alcohol consumption and positively associated with two scores reflecting adherence to a healthy lifestyle. Asparagine concentration was negatively associated with adiposity. Arginine and PC aa C36:3 concentrations were not associated to any of the factors examined. For the metabolite previously associated with a higher risk of breast cancer, acetylcarnitine, a positive association with age was observed. These associations may indicate possible mechanisms underlying associations between lifestyle and anthropometric factors, and risk of breast cancer. Further research is needed to identify potential non-lifestyle correlates of the metabolites investigated.
YR 2021
FD 2021-12-10
LK https://hdl.handle.net/10668/24672
UL https://hdl.handle.net/10668/24672
LA en
DS RISalud
RD Apr 6, 2025