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: 6311533
• 负责人: DAVID J HUNTER
• 金额: $ 27.95万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-04-21 至 2001-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6311533
• 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.

我们建议建立在已成功建立的合作基础上 汇集了饮食中的脂肪、纤维和酒精与乳腺癌风险的数据。我们 将汇集九项主要前瞻性研究的数据，这些研究使用了 全面评估饮食，将饮食因素与 女性乳腺癌发病率、结直肠和肾细胞 男性和女性中的癌症。我们将进一步研究出乎意料的 报告能量为15%的女性患乳腺癌的风险增加 从我们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，预先形成的 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，我们将评估一致性 在关于这些饮食因素与饮食关系的研究中 乳腺癌发病率。然后我们将确定最好的总体估计 这些饮食变量与乳房发病率之间的关系 癌症在所有预期数据的联合分析中，包括 大约9400例。对于结直肠癌，我们将进行检查 与红色和其他肉类摄入量、纤维、叶酸、钙和 将进行抗氧化维生素，特别是维生素E的分析。 结肠癌(4,600例)和直肠癌(1,850例)。 我们还将收集数据来分析饮食和肾脏之间的关联 癌症。其他研究表明，肉类摄入量、动物蛋白和 喝咖啡和茶可能与肾癌有关。 预计将有大约1,070例肾细胞癌病例，这将 允许我们在任何个人之前几年检查这些关联 学习就会有足够的动力。 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。来自研究中心的研究人员将每年会面 确定分析这些数据的方法，并讨论 对调查结果的解释。以这种方式池化主要数据允许 对这些联系强度的更准确估计 以前可能的，使我们能够检查更极端的对比 摄入量，并使我们能够检查与 研究中的其他癌症风险因素，以避免过度解读 单一研究中的偶然性交互作用。初步工作包括 从复杂的营养信息开发组合数据集 在每个中心收集。我们相信我们现在处于一个非常有利的位置 利用这项工作更快地检验这些饮食假说。