Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Nutrition and Metabolism Section, International Agency for Research on Cancer (IARC), Lyon, France.
Int J Cancer. 2020 Sep 1;147(5):1325-1333. doi: 10.1002/ijc.32901. Epub 2020 Feb 18.
Endometrial cancer (EC) incidence rates vary ~10-fold worldwide, in part due to variation in EC risk factor profiles. Using an EC risk model previously developed in the European EPIC cohort, we evaluated the prevention potential of modified EC risk factor patterns and whether differences in EC incidence between a European population and low-risk countries can be explained by differences in these patterns. Predicted EC incidence rates were estimated over 10 years of follow-up for the cohort before and after modifying risk factor profiles. Risk factors considered were: body mass index (BMI, kg/m ), use of postmenopausal hormone therapy (HT) and oral contraceptives (OC) (potentially modifiable); and, parity, ages at first birth, menarche and menopause (environmentally conditioned, but not readily modifiable). Modeled alterations in BMI (to all ≤23 kg/m ) and HT use (to all non-HT users) profiles resulted in a 30% reduction in predicted EC incidence rates; individually, longer duration of OC use (to all ≥10 years) resulted in a 42.5% reduction. Modeled changes in not readily modifiable exposures (i.e., those not contributing to prevention potential) resulted in ≤24.6% reduction in predicted EC incidence. Women in the lowest decile of a risk score based on the evaluated exposures had risk similar to a low risk countries; however, this was driven by relatively long use of OCs (median = 23 years). Our findings support avoidance of overweight BMI and of HT use as prevention strategies for EC in a European population; OC use must be considered in the context of benefits and risks.
子宫内膜癌 (EC) 的发病率在全球范围内差异约为 10 倍,部分原因是 EC 风险因素谱的差异。我们使用之前在欧洲 EPIC 队列中开发的 EC 风险模型,评估了修改后的 EC 风险因素模式的预防潜力,以及欧洲人群与低风险国家之间的 EC 发病率差异是否可以用这些模式的差异来解释。在修改风险因素谱之前和之后,我们为队列计算了 10 年随访期间的 EC 预测发病率。考虑的风险因素有:体重指数(BMI,kg/m )、绝经后激素治疗(HT)和口服避孕药(OC)的使用(潜在可修改);以及生育次数、首次分娩年龄、初潮和绝经年龄(环境条件,但不易修改)。模拟的 BMI(全部≤23 kg/m )和 HT 使用(全部非 HT 用户)谱的改变导致预测 EC 发病率降低 30%;单独使用 OC 的时间更长(全部≥10 年)导致发病率降低 42.5%。不易修改的暴露(即,对预防潜力没有贡献的暴露)的模拟变化导致预测 EC 发病率降低≤24.6%。根据评估的暴露因素,风险评分最低十分位数的女性的风险与低风险国家相似;然而,这是由于相对较长时间使用 OC(中位数=23 年)所致。我们的研究结果支持在欧洲人群中避免超重 BMI 和 HT 使用作为 EC 的预防策略;必须根据获益和风险来考虑 OC 的使用。