DIETARY AND HORMONAL DETERMINANTS OF CANCER IN WOMEN

女性癌症的饮食和激素决定因素

• 批准号: 6475805
• 负责人: GRAHAM A. COLDITZ
• 金额: $ 379.47万
• 依托单位: BRIGHAM AND WOMEN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-09-12 至 2004-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6475805
• 关键词: cancer risk; neoplasm /cancer epidemiology

The overall long-term objective of this Program Project is to identify novel dietary and hormonal determinants of breast colorectal and ovarian cancer risk in women, with the ultimate aim to find means for prevention and improved survival. The combination of questionnaire derived data with biomarkers, coupled with the long-follow-up, affords the opportunity to further understanding of the time course and mechanisms of cancer development. To achieve these objectives, we will relate a) prospectively collected data on diet, post-menopausal hormone use, smoking, and other behaviors; b) nutrient and hormone levels in prospectively collected blood; and c) genotyping information form archived DNA and tissue blocks; to incidence of breast colorectal, and ovarian cancer. This Program Project is based on the Nurses' Health Study cohort comprising 1212,700 women who were 30 to 55 years of age when enrolled in 1976. The Program Project serves as the central resource for the many related grants addressing incidence of cancer and other major chronic diseases that arise in this cohort of women. Project 1. Diet, exogenous hormones and breast cancer risk. Project 2. Diet, hormones and brisk of colorectal cancer. Project 3. Hormones, diet and risk of ovarian cancer. Project 4. Statistical innovations in risk modeling.

该方案项目的总体长期目标是确定妇女患乳腺癌、结直肠癌和卵巢癌风险的新的饮食和激素决定因素，最终目的是找到预防和提高生存率的方法。问卷调查数据与生物标志物相结合，加上长期随访，为进一步了解癌症发展的时间进程和机制提供了机会。为了实现这些目标，我们将a）前瞻性收集的饮食、绝经后激素使用、吸烟和其他行为的数据; B）前瞻性收集的血液中的营养和激素水平; c）存档DNA和组织块的基因分型信息;与乳腺癌、结直肠癌和卵巢癌的发病率相关。该方案项目的基础是护士健康研究队列，包括1976年登记时年龄在30至55岁之间的1 212 700名妇女。该方案项目是许多相关赠款的核心资源，用于解决这一组妇女中出现的癌症和其他主要慢性病的发病率。项目1。饮食、外源性激素与乳腺癌风险。项目2.饮食、激素与大肠癌的关系。项目3。激素、饮食与卵巢癌风险。项目4。风险建模中的统计创新。