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Clinical platform for high-throughput analyses of extracellular vesicles

Clinical platform for high-throughput analyses of extracellular vesicles
细胞外囊泡高通量分析的临床平台
批准号:
10224771
负责人:
Hakho Lee
金额:
$58.88万
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:
已结题
起止时间:
2018-08-02 至 2023-07-31
关键词:
AddressAdoptedAdoptionBenchmarkingBiological AssayBiomedical EngineeringBiopsyBiotechnologyBlood CirculationBlood specimenCancer DetectionCancer DiagnosticsCancer PatientCellsClinicClinicalClinical ResearchConsumptionDana-Farber Cancer InstituteDetectionDevelopmentDevice DesignsDevicesDiagnosisDiagnosticDiseaseDrug resistanceEnrollmentEnsureEnzyme-Linked Immunosorbent AssayEvolutionGeneral HospitalsGoalsGoldHeterogeneityImmunotherapeutic agentIndustryIndustry StandardLaboratoriesLeadMalignant NeoplasmsMalignant neoplasm of ovaryMassachusettsMeasuresMedical DeviceMethodsMicrofabricationMolecularMolecular AnalysisMonitorNatureNucleic AcidsOutcomes ResearchParentsPatientsPeriodicityPharmaceutical PreparationsPlatinumPreparationProductionProtein AnalysisProteinsProtocols documentationQuality ControlRNAReaderReproducibilityResearchResourcesSamplingScreening for Ovarian CancerSignal TransductionStandardizationStructureSurface Plasmon ResonanceSystemSystems BiologyTechniquesTechnologyTestingTherapy trialThinkingTimeTissuesTranslatingTranslationsTreatment EfficacyTreatment outcomeTumor BurdenUltracentrifugationVariantVesicleWestern Blottingbasecancer biomarkerscancer carecancer cellcancer drug resistancecancer therapycirculating biomarkersclinical applicationclinical diagnosticsclinical translationclinically translatabledesigndiagnostic technologiesexosomeextracellular vesicleshigh throughput analysisin-vitro diagnosticsindustry partnerinhibitor/antagonistinnovationinnovative technologiesinstrumentliquid biopsymultidisciplinarynanoplasmonicnext generationnovelnovel diagnosticspatient oriented researchpersonalized cancer therapyprecision medicinescreeningsensor technologysuccesstooltranslational impacttreatment responsetumortumor heterogeneity

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英文摘要
Extracellular vesicles (EVs) have emerged as a promising surrogate for the tissue biopsy, potentially enabling non-invasive, real-time cancer monitoring. Most cancer cells release large numbers of EVs into circulation that carry molecular constituents of the parent tumor. Analyzing EVs could thus offer new avenues to assess tumor burden and tumor heterogeneity. Adoption of EV analyses into a clinical workflow, however, is impeded by the lack of standardized, practical methods. Conventional assay tools (e.g., ultracentrifugation, Western blotting, ELISA) require large sample volumes and extensive processing; they are impractical for clinical applications. Variations in sample handling and testing protocols often lead to inconsistent and variable findings. The goal of this proposal is i) to address such technical challenges by advancing a robust platform for EV protein analyses, and ii) to rigorously evaluate EVs' clinical value as cancer biomarkers. We formed a strategic academic-industry partnership to achieve this goal: Exosome Diagnostics, an industry leader in EV-based cancer diagnostics, offering ready capacity to develop and manufacture in-vitro diagnostic medical devices; and the Center for Systems Biology at Massachusetts General Hospital, a pioneer in developing novel analytical technologies for EV analyses. These teams will bring in their multidisciplinary expertise, innovative technologies and complementary resources to carry out the following translational projects: First, we will build a sensitive, high-throughput platform for EV protein screening. The system will adopt our recently developed nPLEX (nano-plasmonic exosome) technology that is based on novel surface plasmon resonance (SPR) through nanohole structures. Our initial study showed that nPLEX achieved >1000-fold higher sensitivity than conventional methods and yet consumed scant sample volumes (0.1 μL). The new nPLEX system will have expanded analytical capacity and scalability for commercial production. We will design a new SPR chip and a detection instrument for massively parallel EV screening, and also establish standardized assay protocols. Leveraging the developmental and regulatory expertise of Exosome Diagnostics, the resulting platform will be ready for translation into clinical diagnostic laboratories. Second, we will perform a targeted clinical study, particularly testing whether EV protein signatures can be used as a biomarker for cancer detection and treatment monitoring. We will collect circulating EVs from ovarian cancer patients undergoing therapies, and track serial changes of EV protein levels. We will ensure assay reliability and reproducibility to deliver clinically translatable EV diagnostics. We will follow stringent quality control on device design and sample processing, accrue well-annotated patient and control samples, and perform multisite testing. The technical and scientific outcomes of this research could have a significant translational impact in cancer, establishing a robust, highly specific assay to guide treatment decision and assess therapeutic efficacy. Exosome Diagnostics will provide regulatory guidance as well as channels to market new tests and devices.
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High-throughput Phenotyping of iPSC-derived Airway Epithelium by Multiscale Machine Learning Microscopy
  • 批准号:
    10659397
  • 项目类别:
  • 资助金额:
    $78.12万
  • 财政年份:
    2023
  • 负责人:
    Hakho Lee
  • 依托单位:
3D Fourier Imaging System for High Throughput Analyses of Cancer Organoids
  • 批准号:
    10577796
  • 项目类别:
  • 资助金额:
    $19.24万
  • 财政年份:
    2022
  • 负责人:
    Hakho Lee
  • 依托单位:
3D Fourier Imaging System for High Throughput Analyses of Cancer Organoids
  • 批准号:
    10358186
  • 项目类别:
  • 资助金额:
    $19.64万
  • 财政年份:
    2022
  • 负责人:
    Hakho Lee
  • 依托单位:
海外基金