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IGF::OT::IGF SEER-LINKED VITUAL TISSUE REPOSITORY (VTR)

IGF::OT::IGF SEER-LINKED VITUAL TISSUE REPOSITORY (VTR)
IGF::OT::IGF SEER 链接虚拟组织存储库 (VTR)
批准号:
9162036
负责人:
CAROL SWEENEY
金额:
$13.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-09-11 至 2017-09-10

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中文摘要
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英文摘要
The National Cancer Institute Surveillance, Epidemiology and End Results (SEER) Program is interested in developing a SEER-linked Virtual Tissue Repository (VTR). A SEER VTR, with its population representativeness and large sampling frame would be a unique resource for assembling robust collections of biospecimens even for rare tumors and outcomes. SEER demographic and clinical data can be augmented with custom annotation of data including detailed chemotherapy, time to recurrence, and body mass index. The objectives of the VTR Pilot Study are to assess the ability of SEER Registries To serve as a resource for biospecimen research To locate cases with biospecimens in pathology laboratories and determine the requirements to retrieve those biospecimens To provide custom annotation of specified data items The VTR Pilot will also capture costs to identify and annotate these biospecimens.
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会议论文
IGF::OT::IGF CORE INFRASTRUCTURE SUPPORT FOR SURVEILLANCE, EPIDEMIOLOGY, AND END RESULTS (SEER)
  • 批准号:
    9478634
  • 项目类别:
  • 资助金额:
    $189.7万
  • 财政年份:
    2015
  • 负责人:
    CAROL SWEENEY
  • 依托单位:
IGF::OT::IGF CORE INFRASTRUCTURE SUPPORT FOR SURVEILLANCE, EPIDEMIOLOGY, AND END RESULTS (SEER)
  • 批准号:
    9368928
  • 项目类别:
  • 资助金额:
    $5.55万
  • 财政年份:
    2015
  • 负责人:
    CAROL SWEENEY
  • 依托单位:
IGF::OT::IGF SEER-LINKED VITUAL TISSUE REPOSITORY (VTR)
  • 批准号:
    9355553
  • 项目类别:
  • 资助金额:
    $3.68万
  • 财政年份:
    2015
  • 负责人:
    CAROL SWEENEY
  • 依托单位:
IGF::OT::IGF IMPROVED COMPLETENESS OF TREATMENT AND OTHER KEY DATA ELEMENTS BY LINKAGES WITH 15-MONTH RESUBMITTED DATA FROM COMMITTEE ON CANCER HOSPITALS
  • 批准号:
    9161896
  • 项目类别:
  • 资助金额:
    $2.61万
  • 财政年份:
    2015
  • 负责人:
    CAROL SWEENEY
  • 依托单位:
国内基金
海外基金
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data