Targeted Imaging Mass Spectroscopy for Biomarker Detection in Human Tissues

用于人体组织生物标志物检测的靶向成像质谱

基本信息

  • 批准号:
    8122426
  • 负责人:
  • 金额:
    $ 26.63万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2012
  • 资助国家:
    美国
  • 起止时间:
    2012-09-26 至 2014-08-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Biomarkers are measured in patient tissue biopsies to refine diagnosis, and to guide therapy. For a patient, this means receiving the therapy or drug most likely to work while avoiding the expense and toxic side effects of alternatives. In pathology, a long-standing problem is that the most accurate methods for biomarker detection in tissues require extraction and disruption of the tissue. Because microscopic diagnosis remains the gold standard for diagnosis, methods to measure biomarkers in intact tissue are needed. Existing methods depend upon human eye inspection and qualitative scoring of the amount of a pigment indicating a biomarker. Biomarkers are typically performed one at a time. This causes variability in scoring, and limits the amount of testing that can be done on small tissue biopsies. Our project is to replace human eye detection with automated targeted imaging mass spectroscopy which allows simultaneous measurement of many biomarkers on each tissue biopsy. We use "bar coded" cleavable tags for probes (antibodies) that identify biomarker targets in intact tissue sections. The bar coded tags are like the bar code one finds on items at the grocery store. Our machine detector is the counterpart of the scanner at the grocery store checkout line. The store bar codes are almost infinitely variable but like a fingerprint, each uniquely identifies the product. Through existing chemical methods we can create many different mass tag bar codes so that many different tests can be performed on each tissue section. A laser scans the tissue, breaking the tags from their probes so that they fly off the tissue to an automatic detector. The location of the laser is precisely known so that each time a bar coded tag flies off the tissue, it is related to the standard picture used by the pathologist. The long term goal is to measure tissue biomarkers at lower cost and more accurately. PHASE I HYPOTHESIS: Using HER-2 as a model, we hypothesize that TIMS produces tissue biomarker results that are comparable to IHC detection of HER-2 in breast cancer. Specific Aim 1: Design and implement a new generation of photo cleavable (trityl) molecules conjugated to antibodies. Specific Aim 2: Development of a multiplexed TIMS protocol. PLANS FOR PHASE II: Examine how many tags there are on each antibody; Determine stability and shelf life of bound and unbound trityl tags; Determine whether proteins, DNA, and RNA can be simultaneously targeted in a multiplexed assay; Examine whether the laser can be narrowed, refining its resolution to individual cells; Determine whether laser induced release of mass tags is a linear or non-linear function of laser intensity COMMERCIAL APPLICATION: We will seek drug developers as customers. If used in early phase discovery, it is likely that TIMS would also be used prospectively in subsequent clinical trials to identify and enroll patients whose tumors contain targets appropriate for the drug. This would pull the method along into the wider diagnostics marketplace. PUBLIC HEALTH RELEVANCE: Diseases are complex and differ from patient to patient, and our ability to see these differences is improving. Patients should receive the therapy or drug most likely to benefit them while avoiding the expense and toxic side effects of ineffective alternatives. More effective measurement of markers of disease in human tissue biopsies can more accurately align patients with the treatment most likely to benefit them.
描述(由申请人提供):在患者组织活检中测量生物标志物,以完善诊断并指导治疗。对于患者来说,这意味着接受最有可能起作用的治疗或药物,同时避免替代品的费用和毒副作用。在病理学中,一个长期存在的问题是,用于组织中生物标志物检测的最准确方法需要提取和破坏组织。由于显微镜诊断仍然是诊断的金标准,因此需要测量完整组织中生物标志物的方法。现有方法依赖于人眼检查和指示生物标志物的色素量的定性评分。生物标志物通常一次进行一个。这导致评分的变化,并限制了可以在小组织活检上进行的测试量。我们的项目是用自动靶向成像质谱取代人眼检测,从而可以同时测量每个组织活检上的许多生物标志物。我们使用“条形码”可切割标签作为探针(抗体),以识别完整组织切片中的生物标志物靶标。条形码标签就像人们在杂货店找到的物品上的条形码。我们的机器检测器是杂货店结账线上的扫描仪的对应物。商店的条形码几乎是无限可变的,但就像指纹一样,每个条形码都能唯一地识别产品。通过现有的化学方法,我们可以创建许多不同的质量标签条形码,以便可以对每个组织切片进行许多不同的测试。激光扫描组织,打破他们的探针标签,使他们飞离组织的自动检测器。激光的位置是精确的,因此每次条形码标签飞离组织时,它与病理学家使用的标准图片相关。长期目标是以更低的成本和更准确地测量组织生物标志物。第一阶段假设:使用HER-2作为模型,我们假设TIMS产生的组织生物标志物结果与乳腺癌中HER-2的IHC检测结果相当。具体目标1:设计和实现新一代的光可裂解(三苯甲基)分子与抗体结合。具体目标2:开发多路TIMS方案。第二阶段计划:检查每种抗体上有多少个标签;确定结合和未结合的三苯甲基标签的稳定性和保质期;确定蛋白质、DNA和RNA是否可以在多重测定中同时靶向;检查激光是否可以变窄,将其分辨率细化到单个细胞;确定激光诱导的质量标签的释放是激光强度的线性函数还是非线性函数商业应用:我们将寻求药物开发商作为客户。如果用于早期发现,TIMS也可能前瞻性地用于随后的临床试验,以识别和招募肿瘤中含有适合药物靶点的患者。这将使该方法沿着进入更广泛的诊断市场。 公共卫生相关性:疾病是复杂的,不同的病人,我们看到这些差异的能力正在提高。患者应该接受最有可能使他们受益的治疗或药物,同时避免无效替代品的费用和毒副作用。更有效地测量人体组织活检中的疾病标志物,可以更准确地将患者与最有可能使他们受益的治疗方法联系起来。

项目成果

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DEAN A TROYER其他文献

DEAN A TROYER的其他文献

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{{ truncateString('DEAN A TROYER', 18)}}的其他基金

PHOSPHOLIPIDS, DIABETES, AND GLOMERULAR PATHOLOGY
磷脂、糖尿病和肾小球病理学
  • 批准号:
    3446026
  • 财政年份:
    1985
  • 资助金额:
    $ 26.63万
  • 项目类别:
PHOSPHOLIPIDS, DIABETES, AND GLOMERULAR PATHOLOGY
磷脂、糖尿病和肾小球病理学
  • 批准号:
    3447286
  • 财政年份:
    1985
  • 资助金额:
    $ 26.63万
  • 项目类别:
PHOSPHOLIPIDS, DIABETES, AND GLOMERULAR PATHOLOGY
磷脂、糖尿病和肾小球病理学
  • 批准号:
    3447287
  • 财政年份:
    1985
  • 资助金额:
    $ 26.63万
  • 项目类别:

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