Targeted chemotherapy delivery and capture

靶向化疗递送和捕获

基本信息

  • 批准号:
    9913518
  • 负责人:
  • 金额:
    $ 53.84万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2017
  • 资助国家:
    美国
  • 起止时间:
    2017-06-06 至 2022-03-31
  • 项目状态:
    已结题

项目摘要

Abstract Chemotherapy is the major treatment option for cancer patients. However, systemic toxicity from these drugs can significantly impact patient's quality of life and overall survival. Prevention and effective management of side effects of chemotherapy drugs represents a significant bottleneck in oncology today. Many drugs in Phase I trials have been abandoned and many patients have been denied hope from promising treatment regimens because of the associated adverse systemic side effects (4). Furthermore, toxicity from FDA-approved drugs, like interleukin-2, have prevented their use despite having efficacy. To address these limitations of chemotherapy, we propose a transformative technology where the chemotherapy drug is intra-arterially infused from a drug- eluting stent (DES) and captured along the venous outflow of the tumor using an intravascular drug-capturing device (DCD). We believe that by using the DES/DCD pair system, the tumor site will receive highly localized chemotherapy while systemic presence of the excessive drug molecules will be minimized or eliminated (Fig. 1). This strategy can be applied to many cancers, i.e., internal iliac vein/artery for pelvic tumors, bronchial artery/pulmonary vein for lung cancers, internal mammary vein/artery for breast cancer. In this proposal, we will focus on liver cancer because of our liver angiography experience, the liver has a dual blood supply, liver vasculature is large enough to accommodate stent placements and lower cost of imaging, experimentation and maintaining rabbits. As proof of principle, we will use liver cancer as a model to demonstrate the efficacy of this novel strategy, by delivering DNA-targeting anti-cancer drug doxorubicin, which naturally fluoresces at 480 nm allowing easy detection and quantification. Our preliminary data demonstrates exciting results showing our capability in fabrication of anti-thrombotic biomaterials that can selectively release and capture drug molecules. In addition, we have rich experience in catheter-based delivery of biomaterials for a number of in vivo applications, which will ensure successful completion of the proposed project. First we will develop the DES (Aim 1), then develop the DCD (Aim 2) and finally test the drug release and capture concept in rat and rabbit animal models (Aim 3). Successful development of such a system will represent a paradigm shift in the oncology community by improving patient's quality of life, potentially prolonging survival, resurrecting failed Phase I trials from drug toxicity, increasing the use of FDA-approved previously toxic drugs, and opening up new clinical trials to test much higher doses. The proposed idea of drug release and capture represents a platform technology and may have unparalleled impact in other diseases. For example, the system can be designed to isolate exposure to thrombolytic therapy or immunosuppressants.
摘要

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Engineering hairy cellulose nanocrystals for chemotherapy drug capture.
工程毛状纤维素纳米晶体用于化疗药物捕获。
  • DOI:
    10.1016/j.mtchem.2021.100711
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Young,SarahAE;Muthami,Joy;Pitcher,Mica;Antovski,Petar;Wamea,Patricia;Murphy,RobertDenis;Haghniaz,Reihaneh;Schmidt,Andrew;Clark,Samuel;Khademhosseini,Ali;Sheikhi,Amir
  • 通讯作者:
    Sheikhi,Amir
{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Ali Khademhosseini其他文献

Ali Khademhosseini的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Ali Khademhosseini', 18)}}的其他基金

Drug eluting injectable biomaterials for next generation chemoembolization
用于下一代化疗栓塞的药物洗脱可注射生物材料
  • 批准号:
    10397659
  • 财政年份:
    2021
  • 资助金额:
    $ 53.84万
  • 项目类别:
Healing enterocutaneous fistulas using bioengineered biomaterials
使用生物工程生物材料治愈肠皮瘘
  • 批准号:
    10384769
  • 财政年份:
    2021
  • 资助金额:
    $ 53.84万
  • 项目类别:
Drug eluting injectable biomaterials for next generation chemoembolization
用于下一代化疗栓塞的药物洗脱可注射生物材料
  • 批准号:
    10620134
  • 财政年份:
    2021
  • 资助金额:
    $ 53.84万
  • 项目类别:
Drug eluting injectable biomaterials for next generation chemoembolization
用于下一代化疗栓塞的药物洗脱可注射生物材料
  • 批准号:
    10230909
  • 财政年份:
    2021
  • 资助金额:
    $ 53.84万
  • 项目类别:
Healing enterocutaneous fistulas using bioengineered biomaterials
使用生物工程生物材料治愈肠皮瘘
  • 批准号:
    10532787
  • 财政年份:
    2021
  • 资助金额:
    $ 53.84万
  • 项目类别:
Treatment of arterial aneurysms using an injectable biomaterial
使用可注射生物材料治疗动脉瘤
  • 批准号:
    10171610
  • 财政年份:
    2018
  • 资助金额:
    $ 53.84万
  • 项目类别:
Treatment of arterial aneurysms using an injectable biomaterial
使用可注射生物材料治疗动脉瘤
  • 批准号:
    9883832
  • 财政年份:
    2018
  • 资助金额:
    $ 53.84万
  • 项目类别:
Engineering personalized micro-tumor ecosystems
设计个性化微肿瘤生态系统
  • 批准号:
    10261573
  • 财政年份:
    2017
  • 资助金额:
    $ 53.84万
  • 项目类别:
Engineering personalized micro-tumor ecosystems
设计个性化微肿瘤生态系统
  • 批准号:
    9981696
  • 财政年份:
    2017
  • 资助金额:
    $ 53.84万
  • 项目类别:
Engineering personalized micro-tumor ecosystems
设计个性化微肿瘤生态系统
  • 批准号:
    9756346
  • 财政年份:
    2017
  • 资助金额:
    $ 53.84万
  • 项目类别:

相似海外基金

SBIR Phase II: Novel size-changing, gadolinium-free contrast agent for magnetic resonance angiography
SBIR II 期:用于磁共振血管造影的新型尺寸变化、无钆造影剂
  • 批准号:
    2322379
  • 财政年份:
    2023
  • 资助金额:
    $ 53.84万
  • 项目类别:
    Cooperative Agreement
ImproviNg rEnal outcomes following coronary angiograPhy and/or percuTaneoUs coroNary intErventions: a pragmatic, adaptive, patient-oriented randomized controlled trial
改善冠状动脉造影和/或经皮冠状动脉介入治疗后的肾脏结局:一项务实、适应性、以患者为导向的随机对照试验
  • 批准号:
    478732
  • 财政年份:
    2023
  • 资助金额:
    $ 53.84万
  • 项目类别:
    Operating Grants
Neonatal Optical Coherence Tomography Angiography to Assess the Effects of Postnatal Exposures on Retinal Development and Predict Neurodevelopmental Outcomes
新生儿光学相干断层扫描血管造影评估产后暴露对视网膜发育的影响并预测神经发育结果
  • 批准号:
    10588086
  • 财政年份:
    2023
  • 资助金额:
    $ 53.84万
  • 项目类别:
Motion-Resistant Background Subtraction Angiography with Deep Learning: Real-Time, Edge Hardware Implementation and Product Development
具有深度学习的抗运动背景减影血管造影:实时、边缘硬件实施和产品开发
  • 批准号:
    10602275
  • 财政年份:
    2023
  • 资助金额:
    $ 53.84万
  • 项目类别:
Highly Accelerated Magnetic Resonance Angiography using Deep Learning
使用深度学习的高加速磁共振血管造影
  • 批准号:
    2886357
  • 财政年份:
    2023
  • 资助金额:
    $ 53.84万
  • 项目类别:
    Studentship
Development of a method to simultaneously obtain cerebral blood flow information and progression of cerebral white matter lesions using head MR angiography.
开发一种使用头部磁共振血管造影同时获取脑血流信息和脑白质病变进展的方法。
  • 批准号:
    23K14839
  • 财政年份:
    2023
  • 资助金额:
    $ 53.84万
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Development of a new diagnostic method for coronary artery disease using automated image analysis with postmortem coronary angiography CT
使用死后冠状动脉造影 CT 自动图像分析开发冠状动脉疾病的新诊断方法
  • 批准号:
    23K19795
  • 财政年份:
    2023
  • 资助金额:
    $ 53.84万
  • 项目类别:
    Grant-in-Aid for Research Activity Start-up
Novel ultrahigh speed swept source OCT angiography methods in diabetic retinopathy
糖尿病视网膜病变的新型超高速扫源 OCT 血管造影方法
  • 批准号:
    10656644
  • 财政年份:
    2023
  • 资助金额:
    $ 53.84万
  • 项目类别:
Automated Machine Learning-Based Brain Artery Segmentation, Anatomical Prior Labeling, and Feature Extraction on MR Angiography
基于自动机器学习的脑动脉分割、解剖先验标记和 MR 血管造影特征提取
  • 批准号:
    10759721
  • 财政年份:
    2023
  • 资助金额:
    $ 53.84万
  • 项目类别:
SCH: A physics-informed machine learning approach to dynamic blood flow analysis from static subtraction computed tomographic angiography imaging
SCH:一种基于物理的机器学习方法,用于从静态减影计算机断层血管造影成像中进行动态血流分析
  • 批准号:
    2205265
  • 财政年份:
    2022
  • 资助金额:
    $ 53.84万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了