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Breast Cancer Genomics in Windows of Susceptibility to Endocrine Disruptors

Breast Cancer Genomics in Windows of Susceptibility to Endocrine Disruptors
乳腺癌基因组学对内分泌干扰物的易感性窗口
批准号:
8011146
负责人:
Jia Chen
金额:
$51.64万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-07 至 2015-04-30

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中文摘要
翻译
描述(由申请人提供):乳腺癌(BC)是一种乳腺癌依赖性恶性肿瘤。内分泌干扰物(EDs)是内分泌系统中具有激素活性的外源性物质,可干扰内源性激素的生理功能。动物研究明确表明,ED会破坏乳腺组织的发育,并增加乳腺肿瘤的风险,这取决于暴露的剂量和时间。然而,在人群中直接联系ED和BC的证据远未得出结论。两个主要问题严重限制了实验室实验转化为人口研究。首先,人类的易感窗口尚未明确阐明。第二,大多数动物研究一次测试一种艾德,其剂量通常比普通人类暴露的剂量高几个数量级。因此,通常进行剂量外推,忽略人类更可能遇到的ED复杂混合物中可能的协同或拮抗作用。人口研究的ED-BC协会迫切需要结合现实的曝光计划和易感性窗口的概念。这项拟议的研究采用了一种创新的方法,将动物和人口研究相结合。首先,动物将在6个不同的发育时间窗暴露于生理相关剂量的三种常用ED(单独和组合)。将对大鼠乳腺组织的全基因组表达和病理特征进行分析,以提供ED的定量和定性生物学效应。 然后,研究人员将通过使用其广泛的数据库和生物储存库来验证基于人群的长岛乳腺癌研究项目(LIBCSP)的实验室结果。总体目标是探索环境ED是否在特定的发育窗口中起作用,以及它们是否在乳腺组织中独立或协同/拮抗地发挥其生物学效应,从而导致乳腺癌的发展。本研究的结果将提供宝贵的信息,在妇女的生活过程中的环境暴露的影响,这可能会被用来指导未来的分子流行病学研究的艾德暴露和BC。 如果这种研究方法提供了预期的信息,它将导致一种动物模型的发展,可用于研究广泛的ED和其他外源性因素,对未来人类疾病环境暴露时间的调查具有重大意义。
英文摘要
DESCRIPTION (provided by applicant): Breast cancer (BC) is a hormone-dependent malignancy. Endocrine disrupters (EDs) are exogenous substances with hormonal activity in the endocrine system that disrupts the physiologic function of endogenous hormones. Animal studies unequivocally demonstrated that EDs disrupt development of mammary tissues and increase the risk of mammary tumors depending upon the dose and timing of exposure. However, evidence directly linking EDs and BC in human populations is far from conclusive. Two major issues have seriously limited translation of laboratory experiments into population studies. First, the window of susceptibility has not been clearly elucidated in humans. Second, most animal studies have tested one ED at a time often with doses orders of magnitude higher than common human exposure. Thus dose-extrapolations are usually performed neglecting possible synergistic or antagonist effects in a complex mixture of EDs that humans are more likely to encounter. Population studies of ED-BC associations are urgently needed that incorporate realistic exposure schemes and the concept of susceptibility windows. This proposed study uses an innovative approach of combining both an animal and a population study. First, animals will be exposed to three commonly-used EDs (individually and in combination) in physiological relevant doses at 6 different windows of development. Whole-genome expression and pathological features of rat mammary tissues will be profiled to provide both quantitative and qualitative biological effects of EDs. The investigators will then validate the laboratory findings in the population-based Long Island Breast Cancer Study Project (LIBCSP) through the use of its extensive database and biorepository. The overarching goal is to explore whether environmental EDs are acting in specific developmental windows and whether they exert their biological effects independently or synergistically/antagonistically in breast tissue leading to breast cancer development. Results from this study would provide invaluable information on effects of environmental exposure during women's life course, which may be used to direct future molecular epidemiological studies on ED exposure and BC. Should this study approach provide the information as expected, it will lead to the development of an animal model that can be used to study a wide range of EDs and other exogenous factors with significant implications for future investigations on the timing of environmental exposures to human diseases.
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Characterizing the functional genomic atlas of human placenta and unveiling the prenatal programming of early-life development
  • 批准号:
    10580294
  • 项目类别:
  • 资助金额:
    $72.99万
  • 财政年份:
    2023
  • 负责人:
    Jia Chen
  • 依托单位:
Environment, Imprinting, and Neurodevelopment
  • 批准号:
    9358151
  • 项目类别:
  • 资助金额:
    $76.68万
  • 财政年份:
    2016
  • 负责人:
    Jia Chen
  • 依托单位:
Environment, Imprinting, and Neurodevelopment
  • 批准号:
    8838798
  • 项目类别:
  • 资助金额:
    $77.21万
  • 财政年份:
    2013
  • 负责人:
    Jia Chen
  • 依托单位:
MicroRNA & Breast Cancer: Functional Characterization in a Population-Based Study
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