Tumor-targeted pH-sensitive manganese oxide nanoparticle for enhanced breast cancer detection using MRI
Tumor-targeted pH-sensitive manganese oxide nanoparticle for enhanced breast cancer detection using MRI
批准号:
10709272
负责人:
Margaret Bennewitz
金额:
$23.78万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
未结题
起止时间:
2018-08-01 至 2028-06-30
关键词:
AddressAnxietyBehaviorBenignBiodistributionBiopsyBloodBlood CirculationBlood PlateletsBrainBreast Cancer CellBreast Cancer DetectionBreast Cancer Early DetectionBreast Cancer ModelBreast CarcinomaBreast Magnetic Resonance ImagingCancer DetectionCancerousCardiacCell CommunicationCellsClinicalClinical TrialsComplex AnalysisContrast MediaCoupledDNADataDiagnosisDrug KineticsEarly DiagnosisEncapsulatedEndosomesEndothelial CellsEndotheliumEnsureExposure toExtracellular SpaceFiberFutureGadoliniumGoalsHepaticHumanImplantLabelLeukocytesLiverLungMRI ScansMagnetic Resonance ImagingMalignant - descriptorMalignant NeoplasmsMalignant neoplasm of lungMalignant neoplasm of ovaryMalignant neoplasm of pancreasMalignant neoplasm of prostateMammary Gland ParenchymaMammary NeoplasmsMammographyMeasuresMedical Care CostsMetalsModalityMotorMucin 1 proteinMusNormal tissue morphologyOperative Surgical ProceduresOutcomePainPeptidesPerformancePropertyResearchResolutionSafetyScreening procedureSensorySignal TransductionSkinTechniquesTestingTimeToxic effectVisualizationWomanWorkbehavior changebehavior testbonecancer cellchelationclinical translationcytokineefficacy testingextracellularfluorescence imagingfollow-upimaging detectionimprovedin vivoinnovationintravital fluorescence microscopyintravital microscopymalignant breast neoplasmmammarymanganese oxidemouse modelmultimodalitynanonanomaterialsnanoparticlenanoscaleneoplastic cellneutrophilnoveloptical imagingoverexpressionparticlepatient derived xenograft modelsupplemental screeningtheranosticstumortumor microenvironmentuptakeyoung woman
中文摘要
项目总结-肿瘤靶向ph敏感氧化锰纳米颗粒增强乳房
英文摘要
PROJECT SUMMARY - Tumor-targeted pH-sensitive manganese oxide nanoparticle for enhanced breast
cancer detection using MRI
Breast cancer screening is plagued with high rates of misdiagnosis for younger women with dense breast tissue.
These women are subjected to needless follow-up testing including painful biopsies, increased anxiety, and
higher medical costs. Compared to mammography, magnetic resonance imaging (MRI) detects more breast
cancers yet suffers from high false positive rates due to the clinically used contrast agents, e.g., gadolinium (Gd)-
chelates. Our long-term goal is to develop novel, safe contrast agents for early detection of breast cancer that
reduce the false positives and false negatives of breast MRI. The poor performance of Gd-chelates results from
their lack of targeting and constant MRI signal. Gd-chelates highlight both benign and malignant tumors and
achieve lower contrast due to the high background signal produced in normal tissues. To address our long-term
goal, we developed Nano-, Encapsulated Manganese Oxide (NEMO) particles as superior replacements for Gd-
chelates. Our preliminary data shows we have successfully decorated NEMO particles with a peptide that targets
underglycosylated mucin-1 (uMUC-1), which is overexpressed exclusively on breast cancer cells to ensure
selectivity. Upon uptake by cancer cells into acidic endosomes (pH 5), NEMO particles generate a unique pH-
switchable signal. Minimal signal is produced at pH of blood (pH 7.4) and tumor extracellular space (pH 6.5).
NEMO particles create a stronger signal vs. Gd-chelates and are safely tolerated in vivo. It is necessary to test
the efficacy of contrast agents via MRI; however, MRI cannot detect small scale nanoparticle-multicellular
interactions in real-time. Thus, the goals of the current project are to apply a novel, integrated approach of MRI
and intravital fluorescence imaging via a technique that incorporates a window surgically implanted over the
mammary tumor in mice for long-term visualization to correlate MRI signal with fluorescent nanoparticle-cell
dynamics. We hypothesize that NEMO particles will selectively label breast cancer cells, yield higher MRI
contrast, and elicit low toxicity in breast cancer mouse models versus conventional Gd-chelates. We propose
the following aims: (1) Determine sensitivity and selectivity of NEMO particle MRI signal in breast cancer models,
(2) Assess NEMO particle-cell interactions in the tumor microenvironment with optical imaging, and (3) Evaluate
safety and pharmacokinetics of NEMO particles in vivo. There are three main innovations for this project: First,
uMUC-1 targeted NEMO particles will generate contrast only in breast cancer cells to produce a simple binary
readout (benign “OFF”, malignancy “ON”). Second, we will develop a novel MRI compatible intravital window to
evaluate real-time dynamic nanoparticle-cell interactions in breast tumors. Third, we will test unexplored
intravascular contrast agent safety mechanisms in human blood and mouse models. The proposed research is
significant, as improved MRI contrast agents will expedite, simplify, and enhance breast cancer MRI diagnosis.
Our multimodal platform will be applicable to other cancers and will enable new directions in evaluating MRI
theranostic agents. This work will lead to future clinical trials of NEMO particles for enhanced cancer detection.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Finding NEMO's Switchable MRI Signal Using Microfluidic Tumor Models
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批准号:10652001
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项目类别:
-
资助金额:$44.46万
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财政年份:2023
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负责人:Margaret Bennewitz
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依托单位:
Tumor-targeted pH-sensitive manganese oxide nanoparticle for enhanced breast cancer detection using MRI
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批准号:10487424
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项目类别:
-
资助金额:$21.29万
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财政年份:2018
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负责人:Margaret Bennewitz
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依托单位:
Tumor-targeted pH-sensitive manganese oxide nanoparticle for enhanced breast cancer detection using MRI
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批准号:10246798
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项目类别:
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资助金额:$21.31万
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财政年份:2018
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负责人:Margaret Bennewitz
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依托单位:
海外基金