Daqing Cohort StudyThe China National Cancer Center, Daqing Government, Yale School of Public Health and International Prevention Research Institute (i-PRI) are currently working together to set up China’s first comprehensive cancer center at provincial and city level, The Daqing Comprehensive Cancer Center. As a part of the prevention activities, and facilitate the training activities, we are working to establish a trainee-oriented research project in Daqing, the Daqing Cohort Study. The study will not only provide data linking environmental factors, genetic susceptibility to human health, but also help to train urgently needed manpower which China severely lacks in all major areas of cancer prevention and control. These efforts will eventually increase Chinese expertise to respond to this unprecedented challenge in human health.
The Daqing Cohort Study is currently planned to include the study population of 300,000, aged 40-65, both males and females. The purposes of the study are to identify environmental and genetic/epigenetic risk factors for major diseases through a cohort study in a relatively stable population; and to search and identify early disease biomarkers from early detected patients among high risk population in the cohort. Daqing is an ideal population for the proposed study with more than 50%of the population working in the petrol industry and majority of the population with medical insurance coverage. Other suggested risk factors (such as tobacco smoking, alcohol drinking, and animal food intakes) are also common in the study population.
The Cohort Study has completed several pilot studies and has currently started field implementation of the study plan. The cohort will include six areas and steps:
1) A cross-sectional study to establish the study population
2) A nested-case control study to investigate the risk factors for 8 major cancers
3) Statistical modeling using the results from the nested case-control study to predict high risk population
4) Screening the high risk population for early cancers
5) Searching for early cancer biomarkers through repeatedly collected biosamples from these detected early cancer patients.
6) Searching risk factors through the normal follow-up study.