THE BREAST AND OVARIAN SURVEILLANCE SERVICE (BOSS) COHORT STUDY

乳房和卵巢监测服务 (BOSS) 队列研究

基本信息

  • 批准号:
    7604640
  • 负责人:
  • 金额:
    $ 0.76万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2006
  • 资助国家:
    美国
  • 起止时间:
    2006-12-01 至 2007-09-16
  • 项目状态:
    已结题

项目摘要

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. The primary aim of this study is to establish a cohort of women with a family history of breast cancer so as to facilitate the translation of early detection techniques from the lab to the clinical setting. Twenty percent of women in the general population have a positive family history of breast cancer(1). Women at an increased risk of cancer are not well represented in population-based cohorts. The management options for both early detection and preventive strategies particularly in these families are extremely limited. This cohort would provide us with a platform to examine the association between novel genetic, molecular, and environmental markers/exposures, and both increased breast cancer and factors such as increased breast density that may be in the breast causal pathway using a case-control design (2). Over the long term we will be able to also measure factors associated with prognosis. Little is known about the etiology of breast density, which is prevalent in women with a family history of breast cancer and is a modifiable risk factor (2-5). Even if it is not causally linked, a decrease in breast density can increase the sensitivity of mammographic detection of early breast lesions, a useful goal in itself. Currently it is being used as an intermediate endpoint in phase II chemoprevention studies. Results from studies arising from this cohort may assist us in identifying factors that along with family history may modify a women risk of increased breast density and breast cancer. Factors that are thought to be in the causal pathway may then be able to be targeted with preventive agents. A secondary aim of this study is to collect blood and risk factor information on women with a family history of ovarian cancer for future studies. Some of these women will also have a family history of breast cancer and come to the high-risk clinic. Therefore, this is an opportunity for us to establish a serum bank in a rare group of women who are also in need of better predictive markers as well as early detection and preventive strategies.
这个子项目是众多研究子项目之一

项目成果

期刊论文数量(0)
专著数量(0)
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会议论文数量(0)
专利数量(0)

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KALA VISVANATHAN其他文献

KALA VISVANATHAN的其他文献

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{{ truncateString('KALA VISVANATHAN', 18)}}的其他基金

THE RELIABILITY OF DUCTAL LAVAGE
导管灌洗的可靠性
  • 批准号:
    7200719
  • 财政年份:
    2005
  • 资助金额:
    $ 0.76万
  • 项目类别:
THE VALIDITY OF DUCTAL LAVAGE
导管灌洗的有效性
  • 批准号:
    7200720
  • 财政年份:
    2005
  • 资助金额:
    $ 0.76万
  • 项目类别:
THE VALIDITY OF DUCTAL LAVAGE
导管灌洗的有效性
  • 批准号:
    7378809
  • 财政年份:
    2005
  • 资助金额:
    $ 0.76万
  • 项目类别:
K07 Preventive Oncology Academic Award
K07预防肿瘤学学术奖
  • 批准号:
    7681318
  • 财政年份:
    2005
  • 资助金额:
    $ 0.76万
  • 项目类别:
THE BREAST AND OVARIAN SURVEILLANCE SERVICE (BOSS) COHORT STUDY
乳房和卵巢监测服务 (BOSS) 队列研究
  • 批准号:
    7378929
  • 财政年份:
    2005
  • 资助金额:
    $ 0.76万
  • 项目类别:
K07 Preventive Oncology Academic Award
K07预防肿瘤学学术奖
  • 批准号:
    7127683
  • 财政年份:
    2005
  • 资助金额:
    $ 0.76万
  • 项目类别:
K07 Preventive Oncology Academic Award
K07预防肿瘤学学术奖
  • 批准号:
    7274790
  • 财政年份:
    2005
  • 资助金额:
    $ 0.76万
  • 项目类别:
THE RELIABILITY OF DUCTAL LAVAGE
导管灌洗的可靠性
  • 批准号:
    7378808
  • 财政年份:
    2005
  • 资助金额:
    $ 0.76万
  • 项目类别:
K07 Preventive Oncology Academic Award
K07预防肿瘤学学术奖
  • 批准号:
    7498435
  • 财政年份:
    2005
  • 资助金额:
    $ 0.76万
  • 项目类别:
K07 Preventive Oncology Academic Award
K07预防肿瘤学学术奖
  • 批准号:
    6973270
  • 财政年份:
    2005
  • 资助金额:
    $ 0.76万
  • 项目类别:

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