Use of 3D Quantitative Optical Methods to Optimize Mebendazole Treatment of Ovarian Cancer
Use of 3D Quantitative Optical Methods to Optimize Mebendazole Treatment of Ovarian Cancer
批准号:
10662191
负责人:
Lauren Elizabeth Dockery
金额:
$18.08万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-02-15 至 2026-12-31
关键词:
3-DimensionalAddressAnimalsAntiparasitic AgentsAutopsyBindingBlood VesselsCalibrationCancer CenterCancer PatientCell DeathCellsCenters of Research ExcellenceClinicalClinical ResearchClinical TrialsDataDevelopmentDiagnosisDiseaseDisease remissionDoseElectronicsEndoplasmic ReticulumEngineeringEnterobiusEpithelial ovarian cancerEpitheliumFDA approvedFenbendazoleFluorescenceFutureGlycogenGrantHumanHydrophobicityImageImaging TechniquesImaging technologyMalignant Female Reproductive System NeoplasmMalignant NeoplasmsMalignant neoplasm of ovaryMammalsMathematicsMeasurementMeasuresMedical ImagingMedical centerMethodsMicrotubule PolymerizationModelingMorphologyOklahomaOncologyOptical Coherence TomographyOptical MethodsOptical TomographyOvarianParasitesPatient-Focused OutcomesPatientsPenetrationPharmaceutical PreparationsPublic HealthRecurrenceResearchResearch PersonnelResearch Project GrantsResearch SupportResistance developmentResolutionSurfaceSurvival RateTestingTherapeuticTherapeutic EffectTissue imagingTissuesToxic effectTreatment EfficacyTumor TissueUnited States National Institutes of HealthVariantWomanXenograft procedureanti-canceranticancer activityanticancer treatmentbenzimidazolebiomarker evaluationbiomedical imagingcancer therapycancer typechemotherapyclinical applicationcollegedensitydrug developmentdrug mechanismdrug repurposingeffective therapyefficacy evaluationglucose uptakehelminth infectionhigh resolution imaginghuman subjectimaging biomarkerimaging modalityimprovedin vivoinnovationintraperitonealmetermouse modelneoplastic cellnovelnovel therapeuticspre-clinicalpredictive modelingquantitative imagingreconstructionresponsetranslational cancer researchtreatment responsetreatment strategytumortumor heterogeneitytumor microenvironment
中文摘要
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英文摘要
Effective treatment for recurrent epithelial ovarian cancer is a major, unmet public health need as the
response rates of the patients are often low with the traditional chemotherapy. Repurposing drugs is an
increasingly popular strategy in oncology due to the financial and logistical constraints of new drug development.
Recently, anti-parasitic drugs such as mebendazole have surfaced as repurposed oncology drugs and showed
promise in treating multiple types of tumors. The anti-parasitic drugs, fenbendazole and mebendazole, are in the
benzimidazole class and have been FDA-approved to treat pinworm and other helminthic infections in humans
and animals for decades. The selectivity of these drugs for the parasite rather than the host is explained by
irreversible blockade of glucose uptake in the parasite, leading to glycogen depletion and degeneration of the
endoplasmic reticulum with eventual cell death. In addition, both fenbendazole and mebendazole inhibit
microtubule polymerization and function in parasites but not in humans or mammals, owing to differential key
residues, which create an inaccessible hydrophobic pocket to which the anti-parasitic drugs cannot bind.
Although these seem to be the mechanisms of action in parasites, the exact mechanism of their anti-cancer
effect in human cells is unknown. In order to investigate this issue, we hypothesize that by measuring and
quantifying changes of tumor morphology, vasculature, and density using the combination of two novel highresolution tissue imaging methods including optical coherence tomography (OCT) and fluorescence laminar
optical tomography (FLOT), drug mechanism of action and therapeutic effects can be accurately assessed in
vivo. The primary objective of this project is to thoroughly evaluate the anti-cancer effects of anti-parasitic drugs
in an ovarian cancer mouse model using OCT and FLOT. In order to validate our hypothesis and realize the
objective of this project, we propose the following three specific aims. Aim 1: To optimize calibration of
intraperitoneal post-necropsy tumor measurements in an ovarian cancer xenograft mouse model treated with
mebendazole using OCT and FLOT compared to standard electronic caliper measurements. Aim 2: To use OCT
and FLOT to characterize changes in blood vessel morphology upon exposure of an ovarian cancer xenograft
mouse model to mebendazole treatment. Aim 3: To use OCT and FLOT to measure superficial versus deep
tumor cell death and identify quantitative imaging markers for evaluating efficacy of mebendazole-based anticancer treatment. If successful, the results of this project will provide important information regarding anti-cancer
effects of mebendazole and also the convinced preliminary or pre-clinical data to support the research project
leader (RPL) to apply for a more comprehensive project (i.e., NIH R01 or DOD CDMRP Level 2 grant) to further
investigate and determine the optimal mechanism of applying this promising anti-parasitic drug to more
effectively treat epithelial ovarian cancer in the clinical study or trial involving human subjects.
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Use of 3D Quantitative Optical Methods to Optimize Mebendazole Treatment of Ovarian Cancer
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批准号:10654379
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项目类别:
-
资助金额:$16.0万
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财政年份:2022
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负责人:Lauren Elizabeth Dockery
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依托单位:
海外基金