RATIONALE: Studying samples of blood from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer. PURPOSE: This study is looking at genetic susceptibility and the interactions between genes and the environment in patients with prostate cancer.
OBJECTIVES: * To obtain epidemiological information and biological material on a population-based series of prostate cancer cases. * To identify novel cancer susceptibility genes by comparison of genotype frequencies in cases with the corresponding frequencies in large control series. * To estimate the age and sex-specific risks associated with variants in predisposition genes. * To evaluate interactions between polymorphisms in predisposition genes and potential lifestyle risk factors. OUTLINE: This is a multicenter study. Patients complete a detailed epidemiological questionnaire, including information on education, occupation, smoking habits, alcohol consumption, height, weight, family history of cancer, and past medical history. Blood samples are collected from patients. DNA is extracted from these blood samples and from samples collected from cancer-free control participants in MREC-SEARCH-CONTROL as well as from additional controls through the European Prospective Investigation of Cancer (EPIC) study (a population based study of diet and health based in Norfolk, East Anglia). DNA samples are analyzed for polymorphisms of low penetrance cancer susceptibility genes. In addition to the prostate cancer patients recruited for this study, patients with breast, ovarian, endometrial, colorectal, bladder, kidney, pancreatic, brain and esophageal cancer, malignant melanoma, and lymphoma cancer are recruited in the following related clinical trials: MREC-SEARCH-BREAST, MREC-SEARCH-OVARIAN, MREC-SEARCH-ENDOMETRIAL, MREC-SEARCH-COLORECTAL, and MREC-SEARCH-CANCER.
Study Type
OBSERVATIONAL
Enrollment
2,000
University of Cambridge Cancer Research UK
Cambridge, England, United Kingdom
RECRUITINGAcquisition of epidemiological information and biological material
Identification of novel cancer susceptibility genes
Estimation of the age and sex-specific risks associated with variants in predisposition genes
Evaluation interactions between polymorphisms in predisposition genes and potential lifestyle risk factors
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