Predictive Markers to Personalize Medicine for Malignant Glioma

恶性胶质瘤个性化医疗的预测标记

基本信息

  • 批准号:
    8918452
  • 负责人:
  • 金额:
    $ 24.25万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2008
  • 资助国家:
    美国
  • 起止时间:
    2008-09-01 至 2016-08-31
  • 项目状态:
    已结题

项目摘要

There is a gap in in the availability of predictive biomarkers that are necessary to personalize treatment for patients with GBM. A challenge has been to separate prognostic makers (those that predict the natural history of the disease) from predictive (those that predict response to a particular treatment). l/Vfe hypothesize that effective biomarkers of treatment response must be decoupled from prognostic influences. Furthermore, to maximize clinical utility, these biomarkers must be developed as high-throughput, validated diagnostics applicable to small quantities of formalin-fixed, paraffin-embedded (FFPE) tissue. The specific aims of Project 3 are: 1) Develop a novel clinical diagnostic to classify patients suitable for FFPE tissue and incorporating the most robust molecular prognostic markers. 2) Develop a predictive marker of response to anti-angiogenic therapy. 3) Develop a predictive marker of response to immunomodulation. In the initial MDACC Brain SPORE funding, we developed a 9-gene FFPE biomarker that distinguished favorable from unfavorable patient prognosis. The assay was validated, commercialized, and incorporated as a prospective stratification factor in a phase III trial evaluating the anti-angiogenesis inhibitor bevacizumab [Radiation Therapy Oncology Group (RTOG) 0825]. To further improve survival discrimination, we expanded the 9-gene signature to a more robust 19-gene. In addition, we identified an additional epigenetic prognostic signature, the glioma CpG-island methlylator phenotype (G-CIMP). Using >300 cases from M.D. Anderson Cancer Center (MDACC) we developed a unified four risk group system called the molecular-clinical, prognosticator (MCP) that combines clinicopathologic factors with gene expression, genetic, and epigenetic factors. The analytic approach in constructing the MCP and its improved prognostic classification will allow us to better develop predictive makers independent of prognostic influences. Based on our success in the initial SPORE funding period and leveraging our expertise in biomarker development and our close involvement with the RTOG we know propose renewal of this project.
在个性化治疗所必需的预测性生物标志物的可用性方面存在差距

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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KENNETH D ALDAPE其他文献

KENNETH D ALDAPE的其他文献

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{{ truncateString('KENNETH D ALDAPE', 18)}}的其他基金

TOWARDS A REFINED MOLECULAR RECURSIVE PARTITIONING ANALYSIS MODEL FOR GLIOBLASTOM
建立精细的胶质母细胞分子递归分区分析模型
  • 批准号:
    7944134
  • 财政年份:
    2009
  • 资助金额:
    $ 24.25万
  • 项目类别:
TOWARDS A REFINED MOLECULAR RECURSIVE PARTITIONING ANALYSIS MODEL FOR GLIOBLASTOM
建立精细的胶质母细胞分子递归分区分析模型
  • 批准号:
    7853814
  • 财政年份:
    2009
  • 资助金额:
    $ 24.25万
  • 项目类别:
Predictive Markers to Personalize Medicine for Malignant Glioma
恶性胶质瘤个性化医疗的预测标记
  • 批准号:
    8588569
  • 财政年份:
    2008
  • 资助金额:
    $ 24.25万
  • 项目类别:
Pathology and Biorepository Core
病理学和生物样本库核心
  • 批准号:
    8588575
  • 财政年份:
    2008
  • 资助金额:
    $ 24.25万
  • 项目类别:
Pathology and Biorepository Core
病理学和生物样本库核心
  • 批准号:
    8753981
  • 财政年份:
    2008
  • 资助金额:
    $ 24.25万
  • 项目类别:
Pathology and Biorepository Core
病理学和生物样本库核心
  • 批准号:
    9128427
  • 财政年份:
    2008
  • 资助金额:
    $ 24.25万
  • 项目类别:
Predictive Markers to Personalize Medicine for Malignant Glioma
恶性胶质瘤个性化医疗的预测标记
  • 批准号:
    8753978
  • 财政年份:
    2008
  • 资助金额:
    $ 24.25万
  • 项目类别:
CB: Pathology and Tissue Procurement Core
CB:病理学和组织采购核心
  • 批准号:
    7450239
  • 财政年份:
    2008
  • 资助金额:
    $ 24.25万
  • 项目类别:
Prediction of Chemoradiation response in Glioblastoma to individualize Therapy
预测胶质母细胞瘤的放化疗反应以进行个体化治疗
  • 批准号:
    7450205
  • 财政年份:
    2008
  • 资助金额:
    $ 24.25万
  • 项目类别:
Predictive Markers to Personalize Medicine for Malignant Glioma
恶性胶质瘤个性化医疗的预测标记
  • 批准号:
    9128424
  • 财政年份:
    2008
  • 资助金额:
    $ 24.25万
  • 项目类别:

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