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Title: | Prospective analysis of circulating metabolites and breast cancer in EPIC |
Author: | His, Mathilde Viallon, Vivian Dossus, Laure Gicquiau, Audrey Achaintre, David Scalbert, Augustin Ferrari, Pietro Romieu, Isabelle Onland-Moret, N. Charlotte Weiderpass, Elisabete Dahm, Christina C. Overvad, Kim Olsen, Anja Tjønneland, Anne Fournier, Agnès Rothwell, Joseph A. Severi, Gianluca Kühn, Tilman Fortner, Renée T. Boeing, Heiner Trichopoulou, Antonia Karakatsani, Anna Martimianaki, Georgia Masala, Giovanna Sieri, Sabina Tumino, Rosario Vineis, Paolo Panico, Salvatore van Gils, Carla H. Nøst, Therese Haugdahl Sandanger, Torkjel M. Skeie, Guri Quiros, J. Ramón Agudo, Antonio Sanchez, Maria Jose Amiano, Pilar Huerta Castaño, José María Ardanaz, Eva Schmidt, Julie A. Travis, Ruth C. Riboli, Elio Tsilidis, Konstantinos K. Christakoudi, Sofia Gunter, Marc J. Rinaldi, Sabina |
Keywords: | Càncer de mama |
Issue Date: | 24-Jan-2019 |
Publisher: | Biomed Central |
Abstract: | Background: Metabolomics is a promising molecular tool to identify novel etiologic pathways leading to cancer. Using a targeted approach, we prospectively investigated the associations between metabolite concentrations in plasma and breast cancer risk. Methods: A nested case-control study was established within the European Prospective Investigation into Cancer cohort, which included 1624 first primary incident invasive breast cancer cases (with known estrogen and progesterone receptor and HER2 status) and 1624 matched controls. Metabolites (n = 127, acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids) were measured by mass spectrometry in pre-diagnostic plasma samples and tested for associations with breast cancer incidence using multivariable conditional logistic regression. Results: Among women not using hormones at baseline (n = 2248), and after control for multiple tests, concentrations of arginine (odds ratio [OR] per SD = 0.79, 95% confidence interval [CI] = 0.70-0.90), asparagine (OR = 0.83 (0.74-0.92)), and phosphatidylcholines (PCs) ae C36:3 (OR = 0.83 (0.76-0.90)), aa C36:3 (OR = 0.84 (0.77-0.93)), ae C34:2 (OR = 0.85 (0.78-0.94)), ae C36:2 (OR = 0.85 (0.78-0.88)), and ae C38:2 (OR = 0.84 (0.76-0.93)) were inversely associated with breast cancer risk, while the acylcarnitine C2 (OR = 1.23 (1.11-1.35)) was positively associated with disease risk. In the overall population, C2 (OR = 1.15 (1.06-1.24)) and PC ae C36:3 (OR = 0.88 (0.82-0.95)) were associated with risk of breast cancer, and these relationships did not differ by breast cancer subtype, age at diagnosis, fasting status, menopausal status, or adiposity. Conclusions: These findings point to potentially novel pathways and biomarkers of breast cancer development. Results warrant replication in other epidemiological studies. |
Note: | Reproducció del document publicat a: https://doi.org/10.1186/s12916-019-1408-4 |
It is part of: | BMC Medicine, 2019, vol. 17 |
URI: | http://hdl.handle.net/2445/171218 |
Related resource: | https://doi.org/10.1186/s12916-019-1408-4 |
Appears in Collections: | Publicacions de projectes de recerca finançats per la UE Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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