MOLECULAR EPIDEMIOLOGY OF PROSTATE CARCINOGENESIS

描述：(改编自《调查者摘要》)该项目的目标 拟议的项目是确定前列腺癌的风险因素，以确定 与前列腺癌相关的特定遗传和生化标记，以及 确定危险因素和生物标志物之间的关系。这项研究将 采用病例对照设计。面谈将被用来收集 关于前列腺癌危险因素的数据，如种族、家族史、病史 病史、饮食、酒精、烟草使用和职业(包括与农业有关的 曝光)。病例和对照的血液样本以及病例的组织样本 将对生化和遗传标记进行分析，假设 与前列腺癌有关。以下是具体的假设 调查：(1)膳食脂肪摄入量增加，农药暴露，耕作， 前列腺癌家族史或种族与前列腺癌相关 风险。(2)某些遗传标记与频率的增加有关 关于导致前列腺癌风险增加的暴露变量。(3) 农业和职业性杀虫剂暴露与 8、10和17号染色体杂合性丢失的频率。(4)高 膳食脂肪摄入量与高雄激素水平有关。案例 明尼苏达州和威斯康星州的所有男性都会被诊断出患有前列腺癌 癌症，年龄在80岁或以下，超过两年。同等数量的 控制将从州驾照记录和频率中选择 在年龄和状态上与案件相符。60岁以下的病例和对照将 作为主要的利益集团，尽管所有案件都将与 所有控制装置。

DESCRIPTION: (Adapted from the Investigator's Abstract) The goals of this proposed project are to identify risk factors for prostate cancer, to identify specific genetic and biochemical markers associated with prostate cancer, and to identify relationships between risk factors and biomarkers. The study will utilize a case-control design. In-person interviews will be used to collect data on prostate cancer risk factors such as race, family history, medical history, diet, alcohol, tobacco use, and occupation (including farming-related exposures). Blood samples from cases and controls and tissue samples from cases will be analyzed for biochemical and genetic markers hypothesized to be associated with prostate cancer. The following specific hypotheses will be investigated: (1) Increased intake of dietary fat, pesticide exposure, farming, family history of prostate cancer, or race are associated with prostate cancer risk. (2) Certain genetic markers are associated with increased frequency based on exposure variables leading to an increased risk of prostate cancer. (3) Farming and occupational pesticide exposure are related to increases in the frequency of loss of heterozygosity of chromosomes 8, 10 , and 17. (4) High levels of dietary fat intake are associated with high androgen levels. Cases will be all Minnesota and Wisconsin incident men diagnosed with prostate cancers, aged 80 or less, over a two-year time period. An equal number of controls will be selected from state driver's license records and frequency matched to cases on age and state. Cases and controls under the age of 60 will serve as the primary group of interest although all cases will be compared to all controls.