Nanoparticle-Based Triple Modality Imaging and Photothermal Therapy of Brain Tumors
基于纳米颗粒的脑肿瘤三模态成像和光热疗法
基本信息
- 批准号:9092358
- 负责人:
- 金额:$ 35.95万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:ADME StudyAddressAnimal ModelAnimalsBedsBiodistributionBlood - brain barrier anatomyBrainBrain NeoplasmsCanis familiarisChemistryClinicalClinical ManagementDetectionDevicesDiagnostic ImagingDoseEnsureExcisionExcretory functionFormulationGadoliniumGlioblastomaGliomaGoalsGoldGrowthHousingHumanImageImageryInjection of therapeutic agentIonsLeadMagnetic ResonanceMagnetic Resonance ImagingMalignant - descriptorMalignant NeoplasmsMalignant neoplasm of brainMeasuresMetabolismMicroscopicModalityModelingMusNanotechnologyOperating RoomsOperative Surgical ProceduresOutcomeOvarianPancreasPatientsPhysiologyPrimary Brain NeoplasmsProductionProstateQuality of lifeRadiation therapyResidual TumorsResidual stateResistanceResolutionSensitivity and SpecificityShapesSignal TransductionSilicon DioxideSolid NeoplasmSpecificityStagingSurgical ManagementTherapeuticTimeToxic effectTransgenic MiceTranslationsTumor BurdenTumor TissueVisualWeightWorkabsorptionarmbasebiological systemsbrain tissuebrain tumor resectioncancer imagingcell typechemotherapygadolinium oxideimage guided therapyimaging agentimaging modalityimprovedin vivointravenous injectionminiaturizemolecular imagingmouse modelnanoparticlenanorodneoplastic cellnovelphotoacoustic imagingpublic health relevancequantitative imagingretinal rodssmall moleculestandard of caretechnique developmenttheranosticstooltumortumor ablationuptake
项目摘要
DESCRIPTION (provided by applicant): Clinical and surgical management of malignant primary brain tumors particularly glioblastoma multiforme (glioma or GBM) is a major therapeutic challenge. The reasons for this are two-fold: 1) surgical resection cannot remove all of the highly infiltrative tumor mass, and 2) GBM is resistant to radiotherapy and chemotherapy. As a result, the tumor frequently recurs, and the median survival is a dismal 9-15 months. The overall goal of this project is a novel two-armed approach to GBM treatment involving both imaging-guided therapy. Using a single agent, we will provide both preoperative staging and intraoperative high-resolution imaging. This same imaging agent will offer photothermal therapy to further ablate any residual tumor mass. We will accomplish this with a novel triple-modality MRI-Photoacoustic-Raman nanoparticle (MPRN) recently developed in our lab. This ultra-high sensitivity (pM) nanoparticle consists of a Raman active small molecule layer adsorbed on an inert gold core and protected by a silica shell. This shell is subsequently coated with gadolinium ions for T1-weighted MRI signal. We have used this tool for three-dimensional visualization of brain tumors with MRI, deep tumor visualization with photoacoustics, and high-resolution guidance of tumor resection with Raman imaging in a mouse model of GBM. Because the nanoparticle is retained by the brain tumor for more than a week, it allows imaging of the brain tumor both preoperatively and intraoperatively with a single intravenous injection of the nanoparticle. We now propose to further improve MPRN sensitivity, optimize shape and size, simplify chemistry and production, and characterize its clinical utility in animal models. We will also investigate the whole-body and tumor biodistribution of the nanoparticle, and perform detailed Absorption, Distribution, Metabolism, Excretion and Toxicity (ADME-Tox) studies. We will then use the MPRN to assess the accuracy of delineation of brain tumors by MRI pre-operatively as well as invasive tumor margins by intraoperative Raman and PAI. We will also investigate the feasibility of simultaneous imaging and therapy using photothermal tumor ablation. Such therapy is especially critical to eliminate tumor foci that cannot be removed due to their integration with normal brain tissue. For these in vivo studies, we will use spontaneous canine cases and transgenic mouse brain tumor models that closely mimic the growth of human gliomas. Because the MPRN approach used here is based on gold and silica-based nanoparticles that are relatively inert and have already entered human trials in certain formulations, our approach has significant potential for clinical translation. In addition, miniaturized Raman and photoacoustic devices that could be used in the operating room have already been developed both in house and commercially, and the improvements proposed here could significantly accelerate clinical translation. We hope that this approach will ultimately lea to not only to improved GBM resection and treatment, but also find applications to many solid tumors including prostate and ovarian.
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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SANJIV S GAMBHIR其他文献
SANJIV S GAMBHIR的其他文献
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{{ truncateString('SANJIV S GAMBHIR', 18)}}的其他基金
World Molecular Imaging Congress 2017: IMAGinING the Future: from Molecules to Medicine
2017 年世界分子影像大会:想象未来:从分子到医学
- 批准号:
9398016 - 财政年份:2017
- 资助金额:
$ 35.95万 - 项目类别:
Nanoparticle-Based Triple Modality Imaging and Photothermal Therapy of Brain Tumors
基于纳米粒子的脑肿瘤三模态成像和光热疗法
- 批准号:
9766199 - 财政年份:2016
- 资助金额:
$ 35.95万 - 项目类别:
Optimization of an activatable photoacoustic agent to image thyroid cancer
优化可激活光声剂对甲状腺癌进行成像
- 批准号:
9223698 - 财政年份:2015
- 资助金额:
$ 35.95万 - 项目类别:
Optimization of an activatable photoacoustic agent to image thyroid cancer
优化可激活光声剂对甲状腺癌进行成像
- 批准号:
9060321 - 财政年份:2015
- 资助金额:
$ 35.95万 - 项目类别:
Center for Cancer Nanotechnology Excellence for Translational Diagnostics (CCNE-TD)
转化诊断癌症纳米技术卓越中心 (CCNE-TD)
- 批准号:
9324940 - 财政年份:2015
- 资助金额:
$ 35.95万 - 项目类别:
Vevo LAZR Photoacoustic and Ultrasound Imaging System
Vevo LAZR 光声和超声成像系统
- 批准号:
8447766 - 财政年份:2013
- 资助金额:
$ 35.95万 - 项目类别:
Improved Prostate Cancer Detection Using Combined Ultrasound and Photoacoustic Im
使用超声波和光声成像相结合改进前列腺癌检测
- 批准号:
8569337 - 财政年份:2013
- 资助金额:
$ 35.95万 - 项目类别:
Center for Cancer Nanotechnology Excellence and Translation (CCNE-T)
癌症纳米技术卓越与转化中心 (CCNE-T)
- 批准号:
8540368 - 财政年份:2010
- 资助金额:
$ 35.95万 - 项目类别:
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