BLADDER CANCER EPIDProject reference: 618308
Funded under :
Nutrition and Bladder Cancer
Total cost:EUR 100 000
EU contribution:EUR 100 000
Call for proposal:FP7-PEOPLE-2013-CIGSee other projects for this call
Funding scheme:MC-CIG - Support for training and career development of researcher (CIG)
"During the last decade I have built a research line on bladder cancer epidemiology with a specific emphasis on diet. This has led to 54/150 publications on this topic. Although, the literature is sparse, my team and others have concluded that some micronutrients in the diet such as vitamins C, E and selenium may play a preventive role in bladder carcinogenesis. We are currently pursuing this lead with two chemoprevention clinical trials, two case-control and one cohort study. Although other food products have been researched, so far the results remain inconclusive.
Our 2008 expert report for the World Health Organization concluded that the accumulated evidence on the association between specific foods, nutrients, dietary patterns and the risk of bladder cancer is still weak. This is surprising as diet is expected to play an important role in carcinogenesis because the bladder is an excretion organ. The most likely reason for this is that most previous studies have had insufficient sample size and thus lacked adequate statistical power for analyses on 1) individual food items instead of the more common but less detailed food groups, 2) for subgroup analyses and 3) for food-food interactions.
The proposed research brings together the world’s data on diet and bladder cancer. In a unique collaboration, researchers from 26 case-control studies and 15 cohort studies across the world have agreed to share their nutritional data with over 30.000 participants including over 10.000 bladder cancer patients.
The project aims to provide definite answers on which individual food products, nutrients, existing diets (both regionally and culturally defined) and adherence dietary recommendations could influence bladder cancer risk. In addition, contemporary principle components and machine-learning algorithms will be used to identify novel explanatory dietary patterns. The results will be used to update existing dietary recommendations for the prevention of bladder cancer."
EU contribution: EUR 100 000
6200 MD MAASTRICHT