POOLED ANALYSES OF PROSPECTIVE DIET AND CANCER STUDIES

前瞻性饮食和癌症研究的汇总分析

• 批准号: 6269489
• 负责人: DAVID J HUNTER
• 金额: $ 48.13万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-05-15 至 1999-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6269489
• 关键词: alcoholic beverage consumption; breast neoplasms; cancer prevention; cancer risk; coffee; colorectal neoplasms; dietary constituent; dietary fiber; dietary lipid; dietary proteins; female; human data; longitudinal human study; meat; neoplasm /cancer epidemiology; nutrition aspect of cancer; nutrition related neoplasm /cancer; nutrition related tag; pathogenic diet; renal cell carcinoma; statistics /biometry; tea; unsaturated fats; vegetarian diet; vitamins

We propose to build on an established collaboration which has successfully pooled data on dietary fat, fiber, and alcohol, and breast cancer risk. We will pool data from nine major prospective studies that have used a comprehensive assessment of diet, to relate dietary factors to the incidence of breast cancer among women, and colorectal and renal cell cancer among men and women. We will examine further the unanticipated increase in risk of breast cancer among women reporting <15% Of energy from fat observed in our first analyses, as well as a decreased risk among women consuming more monounsaturated, rather than saturated or polyunsaturated, fat. Data from other studies suggest that preformed vitamin A, carotenoids, vitamin C and high vegetable intake may be protective against breast cancer. First, we will assess the consistency among the studies of the relations between these dietary factors and breast cancer incidence. We will then determine the best overall estimates of association between these dietary variables and incidence of breast cancer in a combined analysis of all the prospective data including approximately 9,400 cases. For colorectal cancer we will examine associations with red and other meat intake, fiber, folate, calcium, and antioxidant vitamins, in particular, vitamin E. Analyses will be conducted for colon cancer (4,600 cases) and rectal cancer (1,850 cases) separately. We will also pool data to analyze associations between diet and renal cancer. Other studies have suggested that meat intake, animal protein, and coffee and tea consumption may be associated with renal cell cancer. Approximately 1,070 cases of renal cell cancer are expected, which will allow us to examine these associations several years before any individual study would have adequate power. To conduct these analyses, data will be sent from each study center to the Channing Laboratory. Investigators from study centers will meet annually to determine approaches for analyzing of these data, and to discuss the interpretation of findings. Pooling the primary data in this way permits more precise estimates of the strength of these associations than previously possible, allows us to examine more extreme contrasts in intake, and enables us to check for the consistency of interactions with other cancer risk factors across studies to avoid overinterpretation of chance interactions within a single study. Initial work has involved developing a combined data set from the complex nutrient information collected at each center. We believe we are now in an excellent position to capitalize on this work to more rapidly test these dietary hypotheses.

我们建议在已建立的合作基础上再接再厉， 关于饮食脂肪、纤维、酒精和乳腺癌风险的汇总数据。我们 将汇集来自九项主要前瞻性研究的数据，这些研究使用了 综合评估饮食，将饮食因素与 妇女乳腺癌发病率、结肠直肠癌和肾细胞癌 男性和女性的癌症。我们将进一步研究意想不到的 报告<15%能量的妇女患乳腺癌的风险增加 在我们的第一次分析中观察到的脂肪，以及 女性消费更多的单不饱和，而不是饱和或 多不饱和脂肪其他研究的数据表明， 维生素A，类胡萝卜素，维生素C和高蔬菜摄入量可能是 预防乳腺癌。首先，我们将评估 在这些饮食因素之间关系的研究中， 乳腺癌发病率。然后我们将确定最佳总体估计 这些饮食变量与乳腺癌发病率之间的关联 所有前瞻性数据的综合分析，包括 约9，400例。对于结肠直肠癌，我们将检查 与红肉和其他肉类摄入量、纤维、叶酸、钙和 抗氧化维生素，特别是维生素E。将进行分析 分别用于结肠癌（4，600例）和直肠癌（1，850例）。 我们还将汇总数据，分析饮食和肾脏疾病之间的关系。 癌其他研究表明，肉类摄入量，动物蛋白， 喝咖啡和茶可能与肾细胞癌有关。 预计约有1，070例肾细胞癌病例， 使我们能够在任何个人之前几年检查这些协会 研究将有足够的力量。 为了进行这些分析，数据将从每个研究中心发送到 钱宁实验室研究中心的研究者将每年举行一次会议 确定分析这些数据的方法，并讨论 解释调查结果。以这种方式池化主数据允许 对这些关联的强度的更精确估计， 以前可能的，使我们能够检查更极端的对比， 摄入量，并使我们能够检查相互作用的一致性 研究中的其他癌症风险因素，以避免过度解释 在一项研究中偶然的相互作用。初步工作涉及 从所述复杂营养信息开发组合数据集 收集在每个中心。我们相信我们现在处于一个非常有利的位置 利用这项工作来更快地验证这些饮食假设。