TY - JOUR
T1 - Lifestyle correlates of eight breast cancer-related metabolites
T2 - a cross-sectional study within the EPIC cohort
AU - His, Mathilde
AU - Viallon, Vivian
AU - Dossus, Laure
AU - Schmidt, Julie A.
AU - Travis, Ruth C.
AU - Gunter, Marc J.
AU - Overvad, Kim
AU - Kyrø, Cecilie
AU - Tjønneland, Anne
AU - Lécuyer, Lucie
AU - Rothwell, Joseph A.
AU - Severi, Gianluca
AU - Johnson, Theron
AU - Katzke, Verena
AU - Schulze, Matthias B.
AU - Masala, Giovanna
AU - Sieri, Sabina
AU - Panico, Salvatore
AU - Tumino, Rosario
AU - Macciotta, Alessandra
AU - Boer, Jolanda M.A.
AU - Monninkhof, Evelyn M.
AU - Olsen, Karina Standahl
AU - Nøst, Therese H.
AU - Sandanger, Torkjel M.
AU - Agudo, Antonio
AU - Sánchez, Maria Jose
AU - Amiano, Pilar
AU - Colorado-Yohar, Sandra M.
AU - Ardanaz, Eva
AU - Vidman, Linda
AU - Winkvist, Anna
AU - Heath, Alicia K.
AU - Weiderpass, Elisabete
AU - Huybrechts, Inge
AU - Rinaldi, Sabina
N1 - Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12/1
Y1 - 2021/12/1
N2 - Background: 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). Methods: 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). Results: 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. Conclusions: 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.
AB - Background: 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). Methods: 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). Results: 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. Conclusions: 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.
KW - Anthropometry
KW - Breast cancer
KW - Cross-sectional
KW - Lifestyle
KW - Metabolites
UR - http://www.scopus.com/inward/record.url?scp=85121052328&partnerID=8YFLogxK
U2 - 10.1186/s12916-021-02183-2
DO - 10.1186/s12916-021-02183-2
M3 - Article
C2 - 34886862
AN - SCOPUS:85121052328
SN - 1741-7015
VL - 19
JO - BMC Medicine
JF - BMC Medicine
IS - 1
M1 - 312
ER -