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Evaluation of Patient-Matched Primary and Metastatic Samples to Identify and Vali

Evaluation of Patient-Matched Primary and Metastatic Samples to Identify and Vali
评估患者匹配的原发性和转移性样本以进行识别和验证
批准号:
8486586
负责人:
JEANETTE E ECKEL PASSOW
金额:
$25.08万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-04-01 至 2015-03-31

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项目成果

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中文摘要
翻译
描述(由申请人提供):引起ccRCC转移的分子事件仍然知之甚少,这是30多年来ccRCC死亡率缓慢上升的一个主要因素。事实上,目前批准用于转移性ccRCC的药物是针对据报道在原发性ccRCC肿瘤中常见的分子改变而设计的,但不一定针对转移性ccRCC肿瘤。因此,尽管在过去十年中转移性ccRCC的治疗方法稳步增加,但5年生存率仍低于10%,这并不奇怪。因此,一个关键的临床问题是需要询问ccRCC转移性肿瘤,以确定转移性肿瘤特有的分子改变。正是这些改变最有可能增强预后预测,预测对当前治疗的反应,并为开发新的靶向治疗提供信息。为了直接响应这一需求,我们的多学科研究团队使用Affymetrix基因阵列分析了14例患者匹配的原发性和转移性ccRCC肿瘤(所有转移到肺部),并确定了7个新的候选基因,它们在转移性和原发性ccRCC中表达差异:DCN、SLIT2、LUM、LAMA2、ADAMTS12、CEACAM6和LMO3。在此,我们建议通过以下方式扩展我们的试点工作:(1)在一个大型独立队列中验证这些候选基因,该队列中有良好注释的患者匹配的原发和转移性ccRCC肿瘤,包括肺以外的其他转移部位;(2)评估这些基因在转移性肿瘤中的表达与生存和治疗反应的关联。(3)扩大我们现有的努力,包括探索与转移后预后相关的其他转移性基因改变。总之,我们的总体目标是更好地了解RCC转移的发病机制,以帮助集中三级预防和治疗工作。通过鉴定与ccRCC从原发肿瘤发展为致命转移性疾病相关的遗传变异,该项目最终将有可能为ccRCC进展的生物学提供信息,改善预后和对治疗的反应,并为新疗法提供基本靶点。
英文摘要
DESCRIPTION (provided by applicant): The molecular events that cause ccRCC metastasis remain poorly understood and this is a major contributing factor to why ccRCC mortality rates have been slowly rising for more than three decades. Indeed, current drugs approved for metastatic ccRCC are designed to target molecular alterations that have been reported to be common in primary ccRCC tumors, but not necessarily in metastatic ccRCC tumors specifically. As such, it is not surprising that despite a steady increase over the past decade in therapeutics for metastatic ccRCC, the five year survival is still less than 10%. Thus, a key clinical issue is the need to interrogate ccRCC metastatic tumors in order to identify molecular alterations that are unique to metastatic tumors. It is these alterations that will have the highest probability to enhance prognostic forecasting, predict response to current therapies, and inform the development of novel, targeted therapeutics. In direct response to this need, our multidisciplinary team of investigators has used Affymetrix gene arrays to analyze 14 patient-matched primary and metastatic ccRCC tumors (all metastases are to lung) and identified seven novel candidate genes that are differentially expressed in metastatic versus primary ccRCC: DCN, SLIT2, LUM, LAMA2, ADAMTS12, CEACAM6 and LMO3. Herein, we propose to expand on our pilot work by (1) validating these candidates in a large independent cohort of well annotated patient-matched primary and metastatic ccRCC tumors that include other metastatic sites in addition to lung, (2) evaluating the association of expression of these genes in the metastatic tumors with survival and treatment response, and (3) expanding our existing efforts to include the exploration of additional metastatic genetic alterations that are associated with prognosis after metastasis. In summary, our overall goal is to better understand the pathogenesis of RCC metastasis in order to help focus tertiary prevention and treatment efforts. By identifying genetic variants that are associated with ccRCC progression from primary tumor to lethal metastatic disease, this project will ultimately have the potential to inform the biologyof ccRCC progression, improve prognostic and response to treatment efforts as well as provide rationale targets for novel therapeutics.
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Diagnosis of indeterminate brain lesions using MRI-based machine learning and polygenic risk models
  • 批准号:
    10406296
  • 项目类别:
  • 资助金额:
    $62.31万
  • 财政年份:
    2020
  • 负责人:
    JEANETTE E ECKEL PASSOW
  • 依托单位:
Diagnosis of indeterminate brain lesions using MRI-based machine learning and polygenic risk models
  • 批准号:
    10224946
  • 项目类别:
  • 资助金额:
    $62.31万
  • 财政年份:
    2020
  • 负责人:
    JEANETTE E ECKEL PASSOW
  • 依托单位:
Diagnosis of indeterminate brain lesions using MRI-based machine learning and polygenic risk models
  • 批准号:
    10654009
  • 项目类别:
  • 资助金额:
    $62.31万
  • 财政年份:
    2020
  • 负责人:
    JEANETTE E ECKEL PASSOW
  • 依托单位:
海外基金