Plant Foods and Endometrial Cancer Epidemiology

描述（由申请人提供）： 最近，我们完成了一项以人群为基础的子宫内膜癌病例对照研究，其中对居住在旧金山弗朗西斯科湾区的482名白人、非洲裔美国人和拉丁裔病例以及460名对照者的饮食进行了评估。在这里，我们建议使用这些先前收集的数据来解决几个新出现的或未解决的假设有关的影响，植物性食物对子宫内膜癌的风险。在每种情况下，我们的假设都是基于饮食成分如何影响在子宫内膜癌发生中重要的代谢途径，即，参与类固醇激素和胰岛素代谢的细胞。我们的具体目标是评估子宫内膜癌风险与（a）十字花科蔬菜异硫氰酸酯，（B）膳食抗氧化剂的各种措施，（c）全谷物/膳食纤维，（d）精制谷物/血糖负荷，（e）饮食模式之间的关系。我们的病例对照研究包括1996年10月1日至1999年9月30日期间诊断为组织学确诊的子宫内膜癌的妇女。病例是通过基于人群的癌症登记处确定的，该登记处是SEER和加州州计划的一部分。通过随机数字拨号和与年龄和人种/种族病例频率匹配确定对照组。既往行子宫切除术的妇女不适合作为对照组。使用100项食物频率问卷（FFQ）和视觉辅助工具评估饮食，以评估部分大小。访谈由专业的双语、双文化访谈员用英语和西班牙语进行。作为拟议项目的一部分，我们将使用无条件逻辑回归分析来估计相对风险（即，优势比和95%置信区间）与食物组、非营养化合物、抗氧化剂和血糖暴露指数以及感兴趣的饮食模式相关的子宫内膜癌。先验定义和因素分析将用于确定饮食模式。建议的分析结果将提供进一步了解子宫内膜癌的病因。

DESCRIPTION (provided by applicant): Recently we completed a population-based case-control study of endometrial cancer in which diet was assessed for 482 Caucasian, African American, and Latina cases and 460 controls residing in the San Francisco Bay area. Here we propose to use this previously collected data to address several emerging or unresolved hypotheses related to the impact of plant foods on endometrial cancer risk. In each case, our hypotheses are based on how dietary components may affect metabolic pathways that are or may be important in endometrial carcinogenesis, i.e., those involved in steroid hormone and insulin metabolism. Our specific aims are to evaluate the relationship between endometrial cancer risk and (a) cruciferous vegetables isothiocyanates, (b) various measures of dietary antioxidants, (c) whole grains / dietary fiber, (d) refined grains / glycemic load, and (e) dietary patterns. Our case-control study included women diagnosed with histologically-confirmed endometrial cancer between October 1, 1996 and September 30, 1999. Cases were identified through a population-based cancer registry which is part of the SEER and California state programs. Controls were identified through random-digit dialing and frequency-matched to cases on age and race/ethnicity. Women with a prior hysterectomy were not eligible as controls. Diet was assessed using a 100-item food-frequency questionnaire (FFQ) and visual aids to assess portion size. Interviews were conducted in English and Spanish by professional bilingual, bicultural interviewers. As part of the proposed project, we will use unconditional logistic regression analyses to estimate the relative risk (i.e., odds ratios and 95% confidence intervals) of endometrial cancer associated with the food groups, non-nutritive compounds, indices of antioxidant and glycemic exposure, and dietary patterns of interest. A priori definitions and factor analysis will be used to identify dietary patterns. The results of the proposed analyses will provide further understanding of the etiology of endometrial cancer.