Nöthlings Ute, Murphy Suzanne P, Wilkens Lynne R, Boeing Heiner, Schulze Matthias B, Bueno-de-Mesquita H Bas, Michaud Dominique S, Roddam Andrew, Rohrmann Sabine, Tjønneland Anne, Clavel-Chapelon Francoise, Trichopoulou Antonia, Sieri Sabina, Rodriguez Laudina, Ye Weimin, Jenab Mazda, Kolonel Laurence N
Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Am J Clin Nutr. 2008 Dec;88(6):1653-62. doi: 10.3945/ajcn.2008.26398.
In the Multiethnic Cohort (MEC) study, we showed inverse associations between flavonols and pancreatic cancer risk.
We aimed to define a food pattern associated with intakes of quercetin, kaempferol, and myricetin; to examine the association of that pattern with pancreatic cancer risk; and to investigate the associations in an independent study.
Reduced rank regression was applied to dietary data for 183,513 participants in the MEC. A food group pattern was extracted and simplified and applied to dietary data of 424,978 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Dietary intake in both studies was assessed by using specially developed questionnaires. Multivariate Cox proportional hazards models were used to estimate relative risks for pancreatic cancer in the MEC (610 cases) and the EPIC (517 cases) studies.
The food group pattern consisted mainly of tea, fruit, cabbage, and wine. In the MEC, inverse associations with pancreatic cancer in smokers were observed for the food group pattern [relative risk: 0.59 (95% CI: 0.31, 1.12) when extreme quintiles were compared; P for trend = 0.03]. In the EPIC study, the simplified pattern was not associated with pancreatic cancer risk (P for trend = 0.78).
A food pattern associated with the intake of quercetin, kaempferol, and myricetin was associated with lower pancreatic cancer risk in smokers in a US-based population. However, failure to replicate the associations in an independent study weakens the conclusions and raises questions about the utility of food patterns for flavonols across populations.
在多民族队列(MEC)研究中,我们发现黄酮醇与胰腺癌风险之间存在负相关。
我们旨在确定一种与槲皮素、山奈酚和杨梅素摄入量相关的食物模式;研究该模式与胰腺癌风险的关联;并在一项独立研究中进行调查。
对MEC中183,513名参与者的饮食数据应用降秩回归。提取并简化了一种食物组模式,并将其应用于欧洲癌症与营养前瞻性调查(EPIC)研究中424,978名参与者的饮食数据。两项研究中的饮食摄入量均通过专门制定的问卷进行评估。使用多变量Cox比例风险模型来估计MEC(610例)和EPIC(517例)研究中胰腺癌的相对风险。
食物组模式主要包括茶、水果、卷心菜和葡萄酒。在MEC中,吸烟者的食物组模式与胰腺癌呈负相关[比较极端五分位数时相对风险:0.59(95%CI:0.31,1.12);趋势P值 = 0.03]。在EPIC研究中,简化后的模式与胰腺癌风险无关(趋势P值 = 0.78)。
在美国人群中,与槲皮素、山奈酚和杨梅素摄入量相关的食物模式与吸烟者较低的胰腺癌风险相关。然而,在独立研究中未能重复这些关联削弱了结论,并引发了关于食物模式在不同人群中对黄酮醇效用的疑问。