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墨西哥北部女性的饮食模式与乳腺癌风险

Dietary Patterns and Breast Cancer Risk in Women from Northern Mexico.

机构信息

Center for Nutrition and Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.

Center for Population Health Research, National Institute of Public Health, Cuernavaca, Morelos, Mexico.

出版信息

Nutr Cancer. 2021;73(11-12):2763-2773. doi: 10.1080/01635581.2020.1860241. Epub 2020 Dec 24.

Abstract

We evaluated the association between dietary patterns and breast cancer (BC) subtypes among women from Northern Mexico. From a study of incident cases and population controls that was carried out from 2007 to 2011, a subsample of 509 cases matched 1:1 by age with 509 controls was selected. Information about expression of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor 2 (HER2) was available from medical records to classify BC on luminal (ER + and/or PR+/HER2-), HER2+ (ER+/- and/or PR+/-/HER2+), or triple negative (ER- and PR-/HER2-). Dietary information was gathered using a semiquantitative food frequency questionnaire and a factor analysis was used to obtain dietary patterns. The association between each dietary pattern and BC molecular subtypes was assessed through conditional logistic regression models. Two dietary patterns were identified. The first (mainly characterized by meat, high fat, and sugary cereals) was positively associated with BC (odds ratio, OR = 12.62; 95% CI: 7.42, 21.45); the second (consisting of corn, legumes, and other vegetables) was inversely associated with BC (OR = 0.50; 95% CI: 0.40, 0.62). Both associations remained significant by BC molecular subtypes. These findings could contribute to the development of public health strategies for BC prevention.

摘要

我们评估了饮食模式与来自墨西哥北部的女性乳腺癌(BC)亚型之间的关联。该研究为病例对照研究,于 2007 年至 2011 年开展,在该研究中,选择了 509 例经病例匹配(按年龄 1:1 匹配)的原发性乳腺癌患者作为病例组,另选择 509 例年龄匹配的健康对照者作为对照组。通过查阅病历资料,评估了雌激素受体(ER)、孕激素受体(PR)和人表皮生长因子 2(HER2)的表达情况,以将乳腺癌分为管腔型(ER+和/或 PR+/HER2-)、HER2 过表达型(ER+/-和/或 PR+/-/HER2+)或三阴性(ER-和 PR-/HER2-)。采用半定量食物频率问卷收集饮食信息,并采用因子分析获得饮食模式。采用条件逻辑回归模型评估每种饮食模式与 BC 分子亚型之间的关系。确定了两种饮食模式。第一种模式(主要特征为肉类、高脂肪和含糖谷物)与乳腺癌呈正相关(比值比,OR=12.62;95%置信区间:7.42,21.45);第二种模式(由玉米、豆类和其他蔬菜组成)与乳腺癌呈负相关(OR=0.50;95%置信区间:0.40,0.62)。两种关联在不同的 BC 分子亚型中仍然显著。这些发现有助于制定针对乳腺癌预防的公共卫生策略。

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