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Personalized assessment of bladder cancer treatment response using urinary molecular biomarkers

Personalized assessment of bladder cancer treatment response using urinary molecular biomarkers
使用尿液分子生物标志物对膀胱癌治疗反应进行个性化评估
批准号:
10015540
负责人:
JOSEPH C LIAO
金额:
$0.0万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-10-01 至 2024-09-30
关键词:
AdultAfghanistanAromatic AminesAwarenessBCG LiveBacillus Calmette-Guerin TherapyBenignBiologicalBiological MarkersBladderBloodCancer DetectionCancer PatientCessation of lifeChemical ExposureClinicClinicalClinical ResearchClinical TrialsClinical Trials DesignCollaborationsCystoscopyCytologyDataDecision MakingDevelopmentDiagnosisDiagnosticDiagnostic SensitivityDiseaseDoctor of PhilosophyEmotionalEnvironmental ExposureEpidemiologistExposure toFoundationsGeneral PopulationGoalsHealthHealth Services AccessibilityHematuriaHigh-Throughput RNA SequencingHospitalsIraqLesionLiquid substanceMalignant NeoplasmsMalignant neoplasm of urinary bladderMeasurementMeasuresMedicalMessenger RNAMicrofluidicsMicroscopicModelingMolecularMonitorMorbidity - disease rateNucleic AcidsOperative Surgical ProceduresParticulatePatientsPerformancePopulationPrediction of Response to TherapyProceduresRecording of previous eventsRecurrenceResearchResearch DesignResearch PersonnelResidual CancersRiskRisk FactorsSamplingScientistScreening for cancerServicesSmokeSmokingSolidSymptomsTechnologyTestingTherapeutic InterventionTimeTobacco useTranslationsTransurethral ResectionTumor-DerivedUrineUrologic DiseasesUrologic OncologyUrologic SurgeonValidationVeteransVietnamagent orangebasebiomarker discoverybiomarker panelburden of illnesscancer riskcancer typeclinical translationexperiencefallshigh riskimprovedimproved outcomeintravesicalmolecular diagnosticsmolecular markernon-muscle invasive bladder cancerpatient stratificationpersonalized approachpersonalized medicinepersonalized therapeuticprospectiveresponserisk stratificationscreeningtooltreatment responsetreatment strategytumorurinaryvalidation studies

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中文摘要
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英文摘要
Bladder cancer is the sixth most common cancer in the U.S., has one of the highest recurrence rates of all solid cancers, and is the most expensive cancer to treat from diagnosis to death. Veterans are at increased risk for bladder cancer due higher rates of tobacco use and environmental exposure. There are significant unmet needs for biomarkers and molecular diagnostic tools to better inform decision making across all stages of bladder cancer. For patients with early stage disease, current diagnostic approaches are either invasive (e.g. cystoscopy) or lack sensitivity (e.g. urine cytology). We propose to develop molecular diagnostics that will lead to more effective and personalized therapeutic strategies for patients with localized bladder cancer. Tumor-derived nucleic acids in biological fluids such as urine represent promising biomarkers for non-invasive measurement of disease burden and response to therapy. Previously, we developed a pipeline for bladder cancer biomarker discovery, validation, and technology integration for clinical translation. We applied high throughput RNA sequencing of urinary sediments as a biomarker discovery tool and identified a urinary mRNA (u-mRNA) panel with promising diagnostic performance. In parallel, we validated an integrated microfluidics cartridge capable of “sample-in, answer-out” within 90 minutes using a separate u-mRNA panel. Our recent preliminary data indicate further improvement of diagnostic performance by combining the two panels within the integrated cartridge. Based on these promising preliminary data, we propose three specific aims: 1) to validate the optimized mRNA panel for bladder cancer surveillance and risk stratification; 2) to validate the optimized u- mRNA panel to improve bladder cancer screening and assess risk stratification; and 3) to validate the optimized u-mRNA panel for response assessment and monitoring in patients with high risk NMIBC treated with BCG immunotherapy. Our team is led by experienced academic VA investigators with complimentary expertise in molecular diagnostics (Liao), urologic oncology (Liao, Leppert), and clinical validation study design (Liao, Yu). Successful completion of the studies proposed here will serve as a foundation for incorporating urine-based biomarkers in bladder cancer surveillance and into prospective clinical trials to assess therapeutic interventions. We foresee that our approach will allow personalization of treatment strategies to improve outcomes for BC patients in both veterans and the general population.
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Intraoperative integration of artificial intelligence during cystoscopic surgery
  • 批准号:
    10365872
  • 项目类别:
  • 资助金额:
    $51.4万
  • 财政年份:
    2022
  • 负责人:
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  • 依托单位:
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  • 批准号:
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  • 项目类别:
  • 资助金额:
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  • 财政年份:
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  • 负责人:
    JOSEPH C LIAO
  • 依托单位:
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  • 批准号:
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  • 项目类别:
  • 资助金额:
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  • 财政年份:
    2021
  • 负责人:
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  • 依托单位:
海外基金