Center of Research of Epidemiology and StatisticS (CRESS), French National Institute of Health and Medical Research (INSERM) U1153, French National Institute for Agricultural Research (INRA) U1125, French National Conservatory of Arts and Crafts (CNAM), Paris 13 University, Nutritional Epidemiology Research Team (EREN), Bobigny, France.
Clermont Auvergne University, INRA, UMR 1019, Human Nutrition Unit (UNH), CRNH Auvergne, Micronutriments et Santé cardiovasculaire (MicroCard), Clermont-Ferrand, France.
Cancer Epidemiol Biomarkers Prev. 2020 Feb;29(2):396-405. doi: 10.1158/1055-9965.EPI-19-0900. Epub 2019 Nov 25.
Diet has been recognized as a modifiable risk factor for breast cancer. Highlighting predictive diet-related biomarkers would be of great public health relevance to identify at-risk subjects. The aim of this exploratory study was to select diet-related metabolites discriminating women at higher risk of breast cancer using untargeted metabolomics.
Baseline plasma samples of 200 incident breast cancer cases and matched controls, from a nested case-control study within the Supplémentation en Vitamines et Minéraux Antioxydants (SU.VI.MAX) cohort, were analyzed by untargeted LC-MS. Diet-related metabolites were identified by partial correlation with dietary exposures, and best predictors of breast cancer risk were then selected by Elastic Net penalized regression. The selection stability was assessed using bootstrap resampling.
595 ions were selected as candidate diet-related metabolites. Fourteen of them were selected by Elastic Net regression as breast cancer risk discriminant ions. A lower level of piperine (a compound from pepper) and higher levels of acetyltributylcitrate (an alternative plasticizer to phthalates), pregnene-triol sulfate (a steroid sulfate), and 2-amino-4-cyano butanoic acid (a metabolite linked to microbiota metabolism) were observed in plasma from women who subsequently developed breast cancer. This metabolomic signature was related to several dietary exposures such as a "Western" dietary pattern and higher alcohol and coffee intakes.
Our study suggested a diet-related plasma metabolic signature involving exogenous, steroid metabolites, and microbiota-related compounds associated with long-term breast cancer risk that should be confirmed in large-scale independent studies.
These results could help to identify healthy women at higher risk of breast cancer and improve the understanding of nutrition and health relationship.
饮食已被认为是乳腺癌的可改变风险因素。突出预测性饮食相关生物标志物将对识别高危人群具有重要的公共卫生意义。本探索性研究的目的是使用非靶向代谢组学选择与乳腺癌风险较高相关的饮食相关代谢物。
使用非靶向 LC-MS 分析来自嵌套病例对照研究中的 200 例乳腺癌病例和匹配对照者的基线血浆样本,该研究是在 Supplémentation en Vitamines et Minéraux Antioxydants (SU.VI.MAX) 队列内进行的。通过与饮食暴露的偏相关鉴定饮食相关代谢物,然后通过弹性网络惩罚回归选择乳腺癌风险的最佳预测因子。通过自举重采样评估选择稳定性。
选择了 595 个离子作为候选饮食相关代谢物。通过弹性网络回归选择了 14 个作为乳腺癌风险判别离子。在随后发生乳腺癌的女性的血浆中观察到胡椒碱(一种来自胡椒的化合物)水平降低,乙酰三丁酸酯(邻苯二甲酸酯的替代增塑剂)、孕烯三醇硫酸盐(一种类固醇硫酸盐)和 2-氨基-4-氰基丁酸(一种与微生物群代谢有关的代谢物)水平升高。这种代谢组学特征与几种饮食暴露有关,如“西方”饮食模式以及更高的酒精和咖啡摄入量。
我们的研究表明,涉及外源性、类固醇代谢物和与微生物群相关的化合物的与饮食相关的血浆代谢特征与长期乳腺癌风险相关,这应在大规模独立研究中得到证实。
这些结果可能有助于识别患有乳腺癌风险较高的健康女性,并提高对营养与健康关系的认识。