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Live Imaging of Drug Responses in the Tumor Microenvironment in Mouse Models of Breast Cancer
Published on: March 24, 2013
Tumor Microenvironment-Responsive Dual-Enzymatic Flasklike Nanobots for Enhanced Chemotherapy
Qinqin Ruan1, Meng Mao1, Qihan Zhang1
1Key Laboratory of Microsystems and Microstructures Manufacturing, School of Medicine and Health, Harbin Institute of Technology, Harbin, China.
Engineered nanobots navigate tumor microenvironments using glucose oxidase/catalase. These nanobots enhance chemotherapy delivery and significantly inhibit tumor growth, offering a promising strategy for targeted cancer treatment.
Area of Science:
- Biomedical Engineering
- Nanotechnology
- Cancer Therapy
Background:
- Tumor microenvironment (TME) presents challenges for drug delivery.
- Targeted drug delivery systems are crucial for enhancing chemotherapy efficacy.
- Nanoparticle-based strategies offer potential for overcoming TME barriers.
Purpose of the Study:
- To develop a glucose oxidase/catalase-driven nanobot for targeted chemotherapy delivery.
- To investigate the TME-responsive chemotactic behavior of the nanobots.
- To evaluate the efficacy of the nanobots in enhancing tumor penetration and inhibiting tumor growth.
Main Methods:
- Fabrication of tumor cell membrane-camouflaged flasklike pentosan nanobots (GC-M@FPNbots).
- Loading nanobots with doxorubicin for chemotherapy.
- Utilizing enzymatic cascade reactions (glucose oxidase/catalase) for propulsion.
- Assessing nanobot chemotaxis along proton and hydrogen peroxide gradients.
- Evaluating tumor penetration in 3D multicellular tumor spheroids and in vivo murine models.
- Comparing tumor growth inhibition rates with conventional chemotherapy.
Main Results:
- GC-M@FPNbots demonstrated chemotactic propulsion along concentration gradients in the TME.
- Enhanced extracellular matrix penetration and deep infiltration into tumor spheroids.
- Achieved a 5.7-fold increase in tumor targeting delivery efficiency compared to passive particles.
- Exhibited an 80.8% tumor growth inhibition rate over 16 days in a murine model.
- Outperformed conventional chemotherapeutic agents in tumor growth inhibition.
Conclusions:
- Dual-enzymatic nanobots show TME-responsive directional movement, mimicking immune cell chemotaxis.
- GC-M@FPNbots significantly improve tumor drug delivery and therapeutic efficacy.
- This technology holds potential for personalized cancer therapeutic strategies.
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