Caddy George, Stebbing Justin, Wakefield Gareth, Xu Xiao Yun
Department of Chemical Engineering, South Kensington Campus, Imperial College London, London SW7 2AZ, UK.
Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK.
Pharmaceutics. 2022 Aug 2;14(8):1615. doi: 10.3390/pharmaceutics14081615.
Radio-sensitizing nanoparticles are a potential method to increase the damage caused to cancerous cells during the course of radiotherapy. The distribution of these particles in a given targeted tumour is a relevant factor in determining the efficacy of nanoparticle-enhanced treatment. In this study, a three-part mathematical model is shown to predict the distribution of nanoparticles after direct injection into a tumour. In contrast with previous studies, here, a higher value of diffusivity for charged particles was used and the concentration profile of deposited particles was studied. Simulation results for particle concentrations both in the interstitial fluid and deposited onto cells are compared for different values of particle surface charges during and after injection. Our results show that particles with a negative surface charge can spread farther from the injection location as compared to uncharged particles with charged particles occupying 100% of the tumour volume compared to 8.8% for uncharged particles. This has implications for the future development of radiosensitizers and any associated trials.
放射增敏纳米颗粒是一种在放射治疗过程中增加对癌细胞损伤的潜在方法。这些颗粒在特定靶向肿瘤中的分布是决定纳米颗粒增强治疗效果的一个相关因素。在本研究中,展示了一个三部分的数学模型来预测纳米颗粒直接注入肿瘤后的分布。与先前的研究相比,这里使用了更高的带电粒子扩散率值,并研究了沉积颗粒的浓度分布。针对注射期间和注射后不同的颗粒表面电荷值,比较了间质液中以及沉积在细胞上的颗粒浓度的模拟结果。我们的结果表明,与不带电颗粒相比,表面带负电荷的颗粒可以从注射位置扩散得更远,带电荷颗粒占据肿瘤体积的100%,而不带电颗粒为8.8%。这对放射增敏剂的未来发展以及任何相关试验都有影响。