Prospective analysis of circulating metabolites and breast cancer in EPIC

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 establ...

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Detalles Bibliográficos
Autores principales: 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 H., Sandanger, Torkjel M., Skeie, Guri, Quirós, J. Ramón, Agudo, Antonio, Sánchez, Maria-Jose, Amiano, Pilar, Huerta, José María, Ardanaz, Eva, Schmidt, Julie A., Travis, Ruth C., Riboli, Elio, Tsilidis, Konstantinos K., Christakoudi, Sofia, Gunter, Marc J., Rinaldi, Sabina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6757362/
https://www.ncbi.nlm.nih.gov/pubmed/31547832
http://dx.doi.org/10.1186/s12916-019-1408-4
Descripción
Sumario: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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12916-019-1408-4) contains supplementary material, which is available to authorized users.

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