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01-12-2021 | Breast Cancer | Research article

Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort

Authors: Mathilde His, Vivian Viallon, Laure Dossus, Julie A. Schmidt, Ruth C. Travis, Marc J. Gunter, Kim Overvad, Cecilie Kyrø, Anne Tjønneland, Lucie Lécuyer, Joseph A. Rothwell, Gianluca Severi, Theron Johnson, Verena Katzke, Matthias B. Schulze, Giovanna Masala, Sabina Sieri, Salvatore Panico, Rosario Tumino, Alessandra Macciotta, Jolanda M. A. Boer, Evelyn M. Monninkhof, Karina Standahl Olsen, Therese H. Nøst, Torkjel M. Sandanger, Antonio Agudo, Maria-Jose Sánchez, Pilar Amiano, Sandra M. Colorado-Yohar, Eva Ardanaz, Linda Vidman, Anna Winkvist, Alicia K. Heath, Elisabete Weiderpass, Inge Huybrechts, Sabina Rinaldi

Published in: BMC Medicine | Issue 1/2021

Abstract

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.

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Title: Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort
Authors: Mathilde His
Vivian Viallon
Laure Dossus
Julie A. Schmidt
Ruth C. Travis
Marc J. Gunter
Kim Overvad
Cecilie Kyrø
Anne Tjønneland
Lucie Lécuyer
Joseph A. Rothwell
Gianluca Severi
Theron Johnson
Verena Katzke
Matthias B. Schulze
Giovanna Masala
Sabina Sieri
Salvatore Panico
Rosario Tumino
Alessandra Macciotta
Jolanda M. A. Boer
Evelyn M. Monninkhof
Karina Standahl Olsen
Therese H. Nøst
Torkjel M. Sandanger
Antonio Agudo
Maria-Jose Sánchez
Pilar Amiano
Sandra M. Colorado-Yohar
Eva Ardanaz
Linda Vidman
Anna Winkvist
Alicia K. Heath
Elisabete Weiderpass
Inge Huybrechts
Sabina Rinaldi
Publication date: 01-12-2021
Publisher: BioMed Central
Keywords: Breast Cancer
Breast Cancer
Published in: BMC Medicine / Issue 1/2021
Electronic ISSN: 1741-7015
DOI: https://doi.org/10.1186/s12916-021-02183-2

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort

Abstract

Background

Methods

Results

Conclusions

At a glance: The ONWARDS insulin icodec trials

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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