Development of a prediction model for hyperthermia-enhanced drug delivery using thermosensitive nanoparticles

Abstract

Therapies targeting solid tumors are often hindered by drug resistance mechanisms, which presenting significant challenges. This study investigates the synergistic effect of hyperthermia and chemotherapy by utilizing thermosensitive nanoparticles (NPs) to enhance drug uptake by cancer cells. The thermoresponsive nature of NPs enables precise drug release under hyperthermic conditions, making them ideal for localized treatment. To achieve this, we developed a multi-component numerical model of focused ultrasound-enhanced doxorubicin delivery using tumor-targeting nanoparticles. The model incorporates critical factors such as blood coagulation and non-Fourier heat transfer, and it was validated against experimental results, thereby enhancing the reliability and accuracy of our findings. Ultimately, a prediction model was developed to estimate heat-driven irreversible cell damage in relation to heating power and NP size. The results demonstrated a remarkable 13-fold increase in drug penetration and a 4.6-fold enhancement in the fraction of killed cells with hyperthermia. These findings underscore the importance of accurately controlling the temperature field and heating power for optimal hyperthermia-assisted chemotherapy outcomes.