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:10754997
- 负责人:
- 金额:$ 34.45万
- 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
- 起止时间:2022-12-16 至 2026-03-31
- 项目状态:未结题
- 来源:
- 关键词:
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/摘要
晚期卵巢癌治疗的一个主要挑战是存在播散性卵巢癌。
腹腔内的显微镜下肿瘤结节。尽管手术和辅助化疗,
多达50%的患者可表现为隐匿性播散性疾病,仅有43%的存活率。此外,委员会认为,
全身化疗可能具有毒副作用。因此,最近的努力旨在改善检测
和微转移的治疗。化学光疗法(CPT),化学疗法和光动力学的组合
治疗是一种新兴的癌症治疗方式,可以提供两种治疗的协同功效。的
总体目标是实施一种定量腹腔镜成像和治疗方法,
检测微小转移瘤并优化CPT,以靶向破坏卵巢微小转移瘤,
毒副作用定量荧光腹腔镜成像将提供高灵敏度和分辨率,
检测微小转移瘤以及图像引导的药物递送。叶酸受体α(FA)将用作
因为它对上皮性卵巢癌具有高度特异性,因此是一个很有前景的靶点。拟议的有针对性的CPT
化合物具有约6倍的肿瘤特异性,提供增强的荧光对比度。这些叶酸靶向的,
卟啉-磷脂掺杂的脂质体直接由近红外(NIR)光触发。这将激活
抗癌光敏剂外层并释放抗癌剂阿霉素(Dox)。虽然这
纳米载体有望改善微转移的检测,活组织中的组织吸收和散射可
混淆荧光对比度。基于空间频域成像的定量成像可以
消除这些混杂效应,并提供定量对比,以实现更灵敏的检测
与原始荧光或白色光可视化相比。此外,这种定量能力可以发挥作用,
以提供关于药物释放的反馈,从而允许图像引导的治疗优化
光,以确保每个肿瘤内的药物充分释放。在目标1中,宽视野双通道腹腔镜,快速
将实施和优化定量算法和靶向脂质体纳米构建体。在目标2中,
将在体内验证该平台相对于原始荧光和白色光的微转移的改进检测。
在目标3中,将在体内验证该平台的功效,以破坏靶向肿瘤中的微转移,
减少对周围正常组织的毒性。成功完成这一方法预计将导致
改善微小转移瘤的检测和治疗,减少副作用。预计这最终将导致
降低复发率和提高总体生存率。虽然这种成像方法主要集中在上皮细胞,
卵巢癌的诊断和治疗,它可以适用于广泛的上皮性疾病,如
口腔癌、肺癌和胃肠癌。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('Ulas Sunar', 18)}}的其他基金
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:
$ 34.45万 - 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:
$ 34.45万 - 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:
$ 34.45万 - 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:
$ 34.45万 - 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:
10058694 - 财政年份:2020
- 资助金额:
$ 34.45万 - 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:
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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:
$ 34.45万 - 项目类别:
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