Simulating Nanoparticle Efficacies for Glioma Treatment in 3-D
Overview
Glioblastoma multiforme (GBM), an aggressive and highly lethal form of central nervous system (CNS) cancer, is characterized by its resistance to conventional therapies due to the impermeability of the blood-brain barrier (BBB). Nanoparticle-based treatments can be limited by their inability to effectively penetrate the BBB and to selectively target tumor cells. Despite promising in vitro and in vivo results, nanoparticle-based treatments often fail in human patients due to the complexity of the CNS in comparison with even anatomically-similar organisms. This study introduces a real-time, 3-D simulation model, NEXT 3D, designed to evaluate custom nanoparticles both for their ability to penetrate the BBB and for their thermotherapeutic efficacy. Users can adjust nanoparticle designs at the molecular level, adjusting parameters such as size, shape, composition, and polarity, to optimize their BBB penetration. The Unity-based simulation environment enables the user to have precise control over thermal conditions and regionally tracks thermal energy levels to determine potential apoptosis in glioma cells. Key metrics, such as permeability and thermal conductivity, are monitored to evaluate therapeutic efficacy; metrics for 15 nm gold nanoparticles were validated against in vitro and in vivo benchmarks to confirm realistic outcomes. NEXT 3D is intended as a complementary tool to accelerate preclinical designs that require further in vivo validation. Enhancements will focus on increasing the breadth of simulation capability to greater therapeutic interventions through performance optimization. This study aims to provide a tool for accelerating the optimization of nanoparticle designs in various oncological contexts.
Competition history
- AJAS 2025
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Source: AAAS Annual Meeting (Confex) / American Junior Academy of Science