Quantitative Fluorescence Imaging-Guided Detection and Targeted Therapy Monitoring Platform for Ovarian Cancer Micrometastases
卵巢癌微转移定量荧光成像引导检测及靶向治疗监测平台
基本信息
- 批准号:10058694
- 负责人:
- 金额:$ 34.09万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-01 至 2025-04-30
- 项目状态:未结题
- 来源:
- 关键词:AcidsAddressAdjuvant ChemotherapyAlgorithmsAntineoplastic AgentsBiodistributionBiopsyCancer PatientCell Culture TechniquesCell LineClinicClinicalCombination Drug TherapyDataDetectionDiagnosisDiseaseDoseDoxorubicinDrug TargetingEnsureEpithelialEpithelial ovarian cancerEpitheliumExcisionExposure toFOLR1 geneFeedbackFluorescenceFolic AcidGoalsImageImaging technologyIn VitroKineticsLaparoscopesLeadLesionLightLightingLipidsLiposomal DoxorubicinLiposomesMalignant NeoplasmsMalignant neoplasm of gastrointestinal tractMalignant neoplasm of lungMalignant neoplasm of ovaryMapsMetastatic Malignant Neoplasm to the OvaryMicrometastasisMicroscopicModalityMonitorNeoplasm MetastasisNoduleNormal tissue morphologyOperative Surgical ProceduresOvarianOvarian CarcinomaPUVA PhotochemotherapyPatientsPharmaceutical PreparationsPhospholipidsPhotosensitizationPhotosensitizing AgentsPhototherapyPhysiologicalPlatinumPorphyrinsProtocols documentationPublic HealthQuality of lifeRecurrenceResistanceResolutionSchemeSensitivity and SpecificityShapesSignal TransductionSpatial Frequency Domain ImagingStructureSurfaceSurvival RateSystemTechnologyTherapeuticTimeTissuesToxic effectTranslatingTreatment EfficacyVisualizationabsorptionanti-cancerattenuationbasecancer cellcancer diagnosiscancer therapychemotherapycontrast enhancedcontrolled releasedeep learningdeep learning algorithmfluorescence imagingimage guidedimage guided therapyimage-guided drug deliveryimaging approachimaging modalityimaging platformimprovedin vivointraperitonealliposome vectormalignant mouth neoplasmnanonanocarriernanomedicinenoveloptical imagingphantom modelquantitative imagingside effectspatiotemporaltargeted treatmenttreatment optimizationtumortumor specificityuptake
项目摘要
PROJECT SUMMARY/ABSTRACT
A major challenge in the management of advanced ovarian cancer is the presence of disseminated
microscopic tumor nodules within the intraperitoneal cavity. Despite surgery and adjuvant chemotherapy, as
many as 50% of patients can show occult disseminated disease, with only a 43% survival rate. Furthermore,
systemic chemotherapy can have toxic side effects. Thus, recent efforts have aimed at improving detection
and treatment of micromets. Chemophototherapy (CPT), the combination of chemotherapy and photodynamic
therapy, is an emerging cancer treatment modality that can provide synergistic efficacy of both therapies. The
overall goal is to implement a quantitative laparoscopic imaging and treatment approach for advanced
detection of micromets and optimization of CPT for targeted destruction of ovarian micromets and reduced
toxic side effects. Quantitative fluorescence laparoscopic imaging will provide high sensitivity and resolution for
detecting micromets as well as image guided drug delivery. Folate receptor alpha (FA) will be used as a
promising target because it is highly specific of epithelial ovarian cancer. The proposed targeted CPT
compound has a ~6-fold tumor-specificity providing enhanced fluorescence contrast. These folate-targeted,
porphyrin-phospholipid doped liposomes are triggered directly by near infrared (NIR) light. This activates the
anti-cancer photosensitizer outer layer and releases the anti-cancer agent Doxorubicin (Dox). While this
nanocarrier is expected to improve detection of micromets, tissue absorption and scattering in living tissue can
confound fluorescence contrast. Quantitative imaging based on spatial frequency domain imaging can
eliminate these confounding effects and provide quantitative contrasts to enable more sensitive detection
compared to raw fluorescence or white light visualization. Furthermore, this quantitative capability can function
in near-real-time to provide feedback on drug release, thus allowing image-guided optimization of treatment
light to ensure full drug release within each tumor. In Aim 1, a wide-field dual-channel laparoscope, fast
quantification algorithms and targeted liposomal nano-construct will be implemented and optimized. In Aim 2,
the platform will be validated in vivo for improved detection of micromets vs. raw fluorescence and white light.
In Aim 3, the platform’s efficacy will be validated in vivo for destroying micromets in targeted tumors while
reducing toxicity to surrounding normal tissues. Successful completion of this approach is expected to result in
improved detection and treatment of micromets with reduced side effects. This is ultimately expected to lead to
reduced recurrence rates and overall improved survival. Although this imaging approach focuses on epithelial
ovarian cancer diagnosis and treatment, it can be applicable to a wide range of epithelial diseases, such as
oral, lung, and gastrointestinal cancers.
项目总结/文摘
项目成果
期刊论文数量(0)
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{{ truncateString('Ulas Sunar', 18)}}的其他基金
Quantitative Fluorescence Imaging-Guided Detection and Targeted Therapy Monitoring Platform for Ovarian Cancer Micrometastases
卵巢癌微转移定量荧光成像引导检测及靶向治疗监测平台
- 批准号:
10754997 - 财政年份:2022
- 资助金额:
$ 34.09万 - 项目类别:
Quantitative Diffuse Correlation Spectroscopy for Assessing Human Brain Function
用于评估人脑功能的定量漫相关光谱
- 批准号:
10265818 - 财政年份:2021
- 资助金额:
$ 34.09万 - 项目类别:
Quantitative Diffuse Correlation Spectroscopy for Assessing Human Brain Function
用于评估人脑功能的定量漫相关光谱
- 批准号:
10754343 - 财政年份:2021
- 资助金额:
$ 34.09万 - 项目类别:
Non-invasive characterization of secondary brain injuries after severe acute brain injury using integrated functional optical imaging and electroencephalography
使用集成功能光学成像和脑电图对严重急性脑损伤后继发性脑损伤进行非侵入性表征
- 批准号:
10198065 - 财政年份:2020
- 资助金额:
$ 34.09万 - 项目类别:
Quantitative Fluorescence Imaging-Guided Detection and Targeted Therapy Monitoring Platform for Ovarian Cancer Micrometastases
卵巢癌微转移定量荧光成像引导检测及靶向治疗监测平台
- 批准号:
10219200 - 财政年份:2020
- 资助金额:
$ 34.09万 - 项目类别:
Non-invasive characterization of secondary brain injuries after severe acute brain injury using integrated functional optical imaging and electroencephalography
使用集成功能光学成像和脑电图对严重急性脑损伤后继发性脑损伤进行非侵入性表征
- 批准号:
10064369 - 财政年份:2020
- 资助金额:
$ 34.09万 - 项目类别:
Quantitative endoscopic imaging and structured light delivery for controlled drug
用于受控药物的定量内窥镜成像和结构光传输
- 批准号:
8772899 - 财政年份:2014
- 资助金额:
$ 34.09万 - 项目类别:
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