Sinek J, Frieboes H, Zheng X, Cristini V
Department of Mathematics.
Biomed Microdevices. 2004 Dec;6(4):297-309. doi: 10.1023/B:BMMD.0000048562.29657.64.
Zheng et al. (2004) developed a multiscale, two-dimensional tumor simulator with the capability of showing tumoral lesion progression through the stages of diffusion-limited dormancy, neo-vascularization (angiogenesis) and consequent rapid growth and tissue invasion. In this paper we extend their simulator to describe delivery of chemotherapeutic drugs to a highly perfused tumoral lesion and the tumor cells' response to the therapy. We perform 2-D simulations based on a self-consistent parameter estimation that demonstrate fundamental convective and diffusive transport limitations in delivering anticancer drug into tumors, whether this delivery is via free drug administration (e.g., intravenous drip), or via 100 nm nanoparticles injected into the bloodstream, extravasating and releasing the drug that then diffuses into the tumoral tissue, or via smaller 1-10 nm nanoparticles that are capable of diffusing directly and targeting the individual tumor cell. Even in a best-case scenario involving: constant ("smart") drug release from the nanoparticles; a homogenous tumor of one cell type, which is drug-sensitive and does not develop resistance; targeted nanoparticle delivery, with resulting low host tissue toxicity; and for model parameters calibrated to ensure sufficient drug or nanoparticle blood concentration to rapidly kill all cells in vitro ; our analysis shows that fundamental transport limitations are severe and that drug levels inside the tumor are far less than in vitro , leaving large parts of the tumor with inadequate drug concentration. A comparison of cell death rates predicted by our simulations reveals that the in vivo rate of tumor shrinkage is several orders of magnitude less than in vitro for equal chemotherapeutic carrier concentrations in the blood serum and in vitro, and after some shrinkage the tumor may achieve a new mass equilibrium far above detectable levels. We also demonstrate that adjuvant anti-angiogenic therapy "normalizing" the vasculature may ameliorate transport limitations, although leading to unwanted tumor fragmentation. Finally, our results suggest that small nanoparticles equipped with active transport mechanisms (e.g., chemotaxis) would overcome the predicted limitations and result in improved tumor response.
郑等人(2004年)开发了一种多尺度二维肿瘤模拟器,该模拟器能够展示肿瘤病变在扩散受限休眠、新血管生成(血管生成)以及随后的快速生长和组织侵袭等阶段的进展情况。在本文中,我们扩展了他们的模拟器,以描述化疗药物向高灌注肿瘤病变的递送以及肿瘤细胞对该治疗的反应。我们基于自洽参数估计进行二维模拟,结果表明,无论是通过游离药物给药(如静脉滴注),还是通过注入血液、渗出并释放药物然后扩散到肿瘤组织中的100纳米纳米颗粒,或者是能够直接扩散并靶向单个肿瘤细胞的更小的1 - 10纳米纳米颗粒,在将抗癌药物递送至肿瘤过程中都存在基本的对流和扩散传输限制。即使在最佳情况下,即:纳米颗粒持续(“智能”)释放药物;肿瘤由单一药物敏感且不产生耐药性的细胞类型组成且均匀一致;纳米颗粒靶向递送,对宿主组织毒性低;并且模型参数经过校准以确保有足够的药物或纳米颗粒血药浓度在体外快速杀死所有细胞;我们的分析表明,基本的传输限制仍然很严重,肿瘤内部的药物水平远低于体外水平,导致肿瘤的大部分区域药物浓度不足。我们模拟预测的细胞死亡率比较显示,对于血清和体外中相等的化疗载体浓度,体内肿瘤缩小率比体外低几个数量级,并且在一些缩小后,肿瘤可能达到远高于可检测水平的新质量平衡。我们还证明,使脉管系统“正常化”的辅助抗血管生成疗法可能会改善传输限制,尽管会导致不必要的肿瘤碎片化。最后,我们的结果表明,配备主动运输机制(如趋化作用)的小纳米颗粒将克服预测的限制并改善肿瘤反应。