(PQC5) Detecting small clusters of tumor cells with a PTPmu probe

(PQC5) 使用 PTPmu 探针检测小簇肿瘤细胞

基本信息

  • 批准号:
    8727498
  • 负责人:
  • 金额:
    $ 59.85万
  • 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
  • 起止时间:
    2013-09-01 至 2016-08-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Early tumor detection is a critically important goal in oncologic imaging because it would enable treatment (or redirection of treatment) at earlier stages of disease. However, the challenge is imaging small collections of tumor cells because conventional in vivo imaging methods suffer from limited resolution and tumor contrast. MRI, which presents exquisite anatomical detail and many contrast mechanisms, still often proves incapable of detecting small clusters of tumor cells. Our strategy will be to develop a magnetic resonance imaging (MRI) agent with great amplification potential and to use magnetic resonance (MR) acquisition and image processing techniques to provide contrast sufficient to detect even very small tumors. Our proposal builds upon substantial preliminary data and brings together significant multi-disciplinary expertise in probe chemistry, tumor models, tumor biology, unique 3D microscopic cryo-imaging, advanced MR techniques, and quantitative image analysis. To date, we have discovered a novel molecular imaging strategy by targeting extracellular fragments of PTP¿ abundantly found in the tumor microenvironment; created mouse orthotopic models of gliomas; developed cryo-imaging methods to visualize and quantify tumor size, cell dispersal, white matter tracts and blood vessel density in 3D brain reconstructions; and discovered that a fluorescent PTP¿ probe quickly labeled main tumor as well as dispersed cells and even single migrating cells up to 3.5 mm away from the main tumor mass. Recently preliminary studies using a gadolinium conjugated PTP¿ probe indicate that we can see small tumors using MRI. We seek funding to demonstrate delineation of the dispersing tumor boundary and detection of tiny clusters of cancer cells using the PTP¿ molecular imaging probe by MRI. Even a skilled radiologist will not have the confidence to specifically diagnose a tumor until it is bigger than 5x5x5 mm3 even though typical spatial resolution is about 1x1x5 mm3 because of the non-specific, non-quantitative nature of the MR signal. Our approach will be to greatly increase contrast of the MR signal relative to background anatomical variations through amplification characteristics of PTP¿ MRI probe (PTP¿-Gd), hardware, acquisition, and software improvements. We hypothesize that we can specifically identify and characterize tumors 2-3 orders of magnitude smaller than currently possible through the use of the PTP¿ molecular targeting agent combined with high resolution and quantitative MR. The Specific Aims are: 1. Optimize and test the ability of the molecular PTP¿-Gd probe to detect brain tumors in orthotopic xenografts and compare to "conventional" brain tumor MRI. 2. Determine the ability of PTP¿-Gd to accurately image dispersing brain tumors as compared to gold-standard GFP-labeled tumor from microscopic cryo-imaging. 3. Optimize quantitative MRI using a clinically feasible (3T) dual-agent approach to test the limits for detecting small isolated brain tumors in a very highly dispersing tumor model.
描述(由申请人提供):早期肿瘤检测是肿瘤成像中至关重要的目标,因为它可以在疾病的早期阶段进行治疗(或重新定向治疗)。然而,由于传统的体内成像方法存在分辨率和肿瘤对比度有限的问题,因此对小范围肿瘤细胞进行成像是一个挑战。MRI虽然具有精细的解剖细节和许多对比机制,但往往无法检测到小簇的肿瘤细胞。我们的策略将是开发一种具有巨大放大潜力的磁共振成像(MRI)试剂,并使用磁共振(MR)采集和图像处理技术来提供足够的对比度,以检测甚至非常小的肿瘤。我们的提案建立在大量初步数据的基础上,并汇集了探针化学,肿瘤模型,肿瘤生物学,独特的3D显微冷冻成像,先进的MR技术和定量图像分析方面的重要多学科专业知识。迄今为止,我们已经发现了一种新的分子成像策略,即靶向肿瘤微环境中丰富存在的PTP¿的细胞外片段;建立小鼠胶质瘤原位模型;开发了冷冻成像方法,在三维脑重建中可视化和量化肿瘤大小、细胞分散、白质束和血管密度;发现荧光PTP¿探针可以快速标记主要肿瘤以及离主要肿瘤肿块3.5毫米远的分散细胞甚至单个迁移细胞。最近,使用钆偶联PTP¿探针的初步研究表明,我们可以使用MRI看到小肿瘤。我们寻求资金来证明分散的肿瘤边界的描绘和微小的癌细胞簇的检测使用PTP¿分子成像探针的MRI。由于MR信号的非特异性、非定量性质,即使是熟练的放射科医生也没有信心在肿瘤大于5x5x5mm3之前对其进行特异性诊断,即使典型的空间分辨率约为1x1x5mm3。我们的方法是通过PTP¿MRI探头(PTP¿-Gd)的放大特性、硬件、采集和软件改进,大大增加MR信号相对于背景解剖变化的对比度。我们假设,通过使用PTP¿分子靶向剂结合高分辨率和定量mr,我们可以特异性地识别和表征比目前可能小2-3个数量级的肿瘤。优化和测试分子PTP¿-Gd探针在原位异种移植物中检测脑肿瘤的能力,并与“传统”脑肿瘤MRI进行比较。2. 确定PTP¿-Gd与金标准gfp标记的肿瘤显微冷冻成像相比,准确成像分散脑肿瘤的能力。3. 使用临床可行的(3T)双药方法优化定量MRI,以测试检测小的孤立脑肿瘤的局限性

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(2)

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SUSANN M BRADY-KALNAY其他文献

SUSANN M BRADY-KALNAY的其他文献

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{{ truncateString('SUSANN M BRADY-KALNAY', 18)}}的其他基金

Detection, Radiosensitization and Theranostic Targeting of Metastatic Breast Cancer by PTPmu
PTPmu 转移性乳腺癌的检测、放射增敏和治疗诊断靶向
  • 批准号:
    10594178
  • 财政年份:
    2022
  • 资助金额:
    $ 59.85万
  • 项目类别:
Whole-Organism, Real-time Decision-enabled 3D Tissue Imaging and Recovery for Molecular Analysis
用于分子分析的全生物体、实时决策 3D 组织成像和恢复
  • 批准号:
    10546698
  • 财政年份:
    2022
  • 资助金额:
    $ 59.85万
  • 项目类别:
A Novel Molecular Imaging Agent for Surgical Resection of Invasive Brain Tumors
用于手术切除侵袭性脑肿瘤的新型分子成像剂
  • 批准号:
    9363032
  • 财政年份:
    2017
  • 资助金额:
    $ 59.85万
  • 项目类别:
A Novel Molecular Imaging Agent for Surgical Resection of Invasive Brain Tumors
用于手术切除侵袭性脑肿瘤的新型分子成像剂
  • 批准号:
    9927600
  • 财政年份:
    2017
  • 资助金额:
    $ 59.85万
  • 项目类别:
A Novel Molecular Imaging Agent for Surgical Resection of Invasive Brain Tumors
用于手术切除侵袭性脑肿瘤的新型分子成像剂
  • 批准号:
    10164729
  • 财政年份:
    2017
  • 资助金额:
    $ 59.85万
  • 项目类别:
(PQC5) Detecting small clusters of tumor cells with a PTPmu probe
(PQC5) 使用 PTPmu 探针检测小簇肿瘤细胞
  • 批准号:
    8913906
  • 财政年份:
    2013
  • 资助金额:
    $ 59.85万
  • 项目类别:
(PQC5) Detecting small clusters of tumor cells with a PTPmu probe
(PQC5) 使用 PTPmu 探针检测小簇肿瘤细胞
  • 批准号:
    8589825
  • 财政年份:
    2013
  • 资助金额:
    $ 59.85万
  • 项目类别:
Detecting invading glioma cells through in vivo molecular imaging of the cell sur
通过细胞表面的体内分子成像检测入侵的神经胶质瘤细胞
  • 批准号:
    8243573
  • 财政年份:
    2009
  • 资助金额:
    $ 59.85万
  • 项目类别:
Detecting invading glioma cells through in vivo molecular imaging of the cell sur
通过细胞表面的体内分子成像检测入侵的神经胶质瘤细胞
  • 批准号:
    7562871
  • 财政年份:
    2009
  • 资助金额:
    $ 59.85万
  • 项目类别:
Detecting invading glioma cells through in vivo molecular imaging of the cell sur
通过细胞表面的体内分子成像检测入侵的神经胶质瘤细胞
  • 批准号:
    8449143
  • 财政年份:
    2009
  • 资助金额:
    $ 59.85万
  • 项目类别:

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