MOLECULAR EPIDEMIOLOGY OF OVARIAN CANCER

卵巢癌的分子流行病学

• 批准号: 6451443
• 负责人: Joellen M. SCHILDKRAUT
• 金额: $ 2.14万
• 依托单位: DUKE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-09-01 至 2003-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6451443
• 关键词: blood chemistry; cancer risk; clinical research; female; fluorescent in situ hybridization; gene mutation; genetic markers; genetic polymorphism; histopathology; human subject; interview; molecular oncology; natural gene amplification; neoplasm /cancer epidemiology; neoplasm /cancer genetics; nucleic acid sequence; oncogenes; ovary neoplasms; p53 gene /protein; tumor suppressor genes; women's health

DESCRIPTION: This is an application for a population-based, case-control study of ovarian cancer in North Carolina. It proposes to conduct home interviews and take blood from 700 new cases, identified through a rapid reporting system, and 700 controls, identified through random digit dialing (RDD) and Health Care Financing Administration (HCFA) files. Tumor tissues will be tested for p53 mutations and for HER-2/neu amplification: the first using immunohistochemical staining supplemented by sequencing; and the second using FISH. Genomic DNA will be tested for polymorphisms in the genes for TP53, H-Ras, CYP17 and epoxide hydrolase. The general hypothesis is that ovarian cancer is a heterogeneous disease caused by several different mutational pathways. The application proposes to test this by analyzing subgroups of the data defined by tumors with or without mutations in p53, different histologic types and different polymorphisms. Published preliminary studies have already shown an association with abnormal expression of p53 in ovarian tumors and epidemiologic markers of ovulation.

描述：这是一个基于人群的病例对照应用程序 北卡罗来纳州的卵巢癌研究。 建议在家进行 对 700 名新病例进行访谈并采集血液，这些病例是通过快速检测确定的 报告系统和 700 个控制，通过随机数字识别 拨号 (RDD) 和医疗保健融资管理 (HCFA) 文件。 将测试肿瘤组织的 p53 突变和 HER-2/neu 扩增：首先采用免疫组化染色进行补充 通过测序；第二个使用 FISH。 基因组DNA将被测试 TP53、H-Ras、CYP17 和环氧化物水解酶基因的多态性。 一般假设是卵巢癌是一种异质性疾病 由几种不同的突变途径引起。 该申请提出 通过分析由肿瘤定义的数据子组来测试这一点，或者 p53 没有突变，不同的组织学类型和不同的 多态性。 已发表的初步研究已经表明 与卵巢肿瘤中 p53 异常表达的相关性 排卵的流行病学标志物。