Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort
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 conce...
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2021-12-01
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Online Access: | https://doi.org/10.1186/s12916-021-02183-2 |
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author | 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 |
author_facet | 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 |
author_sort | Mathilde His |
collection | DOAJ |
description | 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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publishDate | 2021-12-01 |
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spelling | doaj.art-2a393179c72f438484fc7d76ff2317c32022-12-21T22:43:47ZengBMCBMC Medicine1741-70152021-12-0119111510.1186/s12916-021-02183-2Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohortMathilde His0Vivian Viallon1Laure Dossus2Julie A. Schmidt3Ruth C. Travis4Marc J. Gunter5Kim Overvad6Cecilie Kyrø7Anne Tjønneland8Lucie Lécuyer9Joseph A. Rothwell10Gianluca Severi11Theron Johnson12Verena Katzke13Matthias B. Schulze14Giovanna Masala15Sabina Sieri16Salvatore Panico17Rosario Tumino18Alessandra Macciotta19Jolanda M. A. Boer20Evelyn M. Monninkhof21Karina Standahl Olsen22Therese H. Nøst23Torkjel M. Sandanger24Antonio Agudo25Maria-Jose Sánchez26Pilar Amiano27Sandra M. Colorado-Yohar28Eva Ardanaz29Linda Vidman30Anna Winkvist31Alicia K. Heath32Elisabete Weiderpass33Inge Huybrechts34Sabina Rinaldi35International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism BranchInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism BranchInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism BranchCancer Epidemiology Unit, Nuffield Department of Population Health, University of OxfordCancer Epidemiology Unit, Nuffield Department of Population Health, University of OxfordInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism BranchDepartment of Public Health, Aarhus UniversityDanish Cancer Society Research CenterDanish Cancer Society Research CenterUniversité Paris-Saclay, UVSQ, Inserm, CESP U1018, “Exposome and Heredity” team, Gustave RoussyUniversité Paris-Saclay, UVSQ, Inserm, CESP U1018, “Exposome and Heredity” team, Gustave RoussyUniversité Paris-Saclay, UVSQ, Inserm, CESP U1018, “Exposome and Heredity” team, Gustave RoussyDepartment of Cancer Epidemiology, German Cancer Research Center (DKFZ)Department of Cancer Epidemiology, German Cancer Research Center (DKFZ)Department of Molecular Epidemiology, German Institute of Human NutritionInstitute for Cancer Research, Prevention and Clinical Network (ISPRO)Epidemiology and Prevention Unit, Fondazione IRCCS Instituto Nazionale dei Tumori di MilanoDipartimento Di Medicina Clinica E Chirurgia, Federico Ii UniversityCancer Registry and Histopathology Department, Provincial Health Authority (ASP 7) RagusaDepartment of Clinical and Biological Sciences, University of TurinCenter for Nutrition, Prevention, and Health Services, National Institute for Public Health and the Environment (RIVM)Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht UniversityDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of NorwayDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of NorwayDepartment of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of NorwayUnit of Nutrition and Cancer, Catalan Institute of Oncology - ICOEscuela Andaluza de Salud Pública (EASP)Ministry of Health of the Basque Government, Sub-Directorate for Public Health and Addictions of GipuzkoaCIBER Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII)CIBER Epidemiology and Public Health (CIBERESP), Instituto de Salud Carlos III (ISCIII)Department of Radiation Sciences, Oncology, Umeå UniversitySustainable Health, Department of Public Health and Clinical Medicine, Umeå UniversityDepartment of Epidemiology and Biostatistics, School of Public Health, Imperial College LondonInternational Agency for Research on Cancer (IARC/WHO), Office of the DirectorInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism BranchInternational Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism BranchAbstract 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.https://doi.org/10.1186/s12916-021-02183-2MetabolitesBreast cancerCross-sectionalLifestyleAnthropometry |
spellingShingle | 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 Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort BMC Medicine Metabolites Breast cancer Cross-sectional Lifestyle Anthropometry |
title | Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort |
title_full | Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort |
title_fullStr | Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort |
title_full_unstemmed | Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort |
title_short | Lifestyle correlates of eight breast cancer-related metabolites: a cross-sectional study within the EPIC cohort |
title_sort | lifestyle correlates of eight breast cancer related metabolites a cross sectional study within the epic cohort |
topic | Metabolites Breast cancer Cross-sectional Lifestyle Anthropometry |
url | https://doi.org/10.1186/s12916-021-02183-2 |
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