Jackson T L, Lubkin S R, Murray J D
Department of Applied Mathematics, University of Washington, Box 352420, Seattle WA 98195-2420, USA.
J Math Biol. 1999 Oct;39(4):353-76. doi: 10.1007/s002850050195.
Considerable research has been aimed at improving the efficacy of chemotherapeutic agents for cancer therapy. A promising two-step approach that is designed to minimize systemic drug toxicity while maximizing activity in tumors employs monoclonal antibody-enzyme conjugates for the activation of anti-cancer prodrugs. A mathematical model based on the biology of human 3677 melanoma xenografts in nude mice is presented, analyzed, and numerically simulated to study the biodistribution, pharmacokinetics, and intratumoral localization properties of L49-beta-lactamase fusion proteins in solid tumor masses. The model predictions were compared with published experimental data and an excellent correlation was found to exist. Analytic expressions for the total concentration of conjugate in the tumor, the time at which the concentration is maximal, and the half life of conjugate in the tissue were derived. From these results, key parameters were isolated; and the effects of the tumor vasculature, binding kinetics, and administration schedule were investigated. The antibody-antigen dissociation ratio, the conjugate permeability, and the inter-capillary half distance within the tumor mass were found to strongly influence localization and retention in the tumor. The model was used to examine various dosing strategies in an attempt to determine which regimen would provide the best biodistribution results. The results of administering a uniform dose of conjugate via bolus injection, multiple injections, and continuous infusion were compared. The model predicts that when saturation of binding sites does not occur, dosing strategy has little effect on the amount of conjugate that localizes in the tumor.
大量研究致力于提高化疗药物治疗癌症的疗效。一种有前景的两步法旨在将全身药物毒性降至最低,同时使肿瘤内活性最大化,该方法采用单克隆抗体 - 酶偶联物来激活抗癌前药。本文提出、分析并对基于裸鼠体内人3677黑色素瘤异种移植生物学的数学模型进行了数值模拟,以研究L49 - β - 内酰胺酶融合蛋白在实体瘤块中的生物分布、药代动力学和肿瘤内定位特性。将模型预测结果与已发表的实验数据进行比较,发现存在良好的相关性。推导了肿瘤中偶联物总浓度、浓度达到最大值时的时间以及组织中偶联物半衰期的解析表达式。从这些结果中分离出关键参数;并研究了肿瘤血管系统、结合动力学和给药方案的影响。发现抗体 - 抗原解离率、偶联物渗透率和肿瘤块内毛细血管间半距离对肿瘤内的定位和滞留有强烈影响。该模型用于研究各种给药策略,试图确定哪种方案能提供最佳的生物分布结果。比较了通过推注、多次注射和持续输注给予均匀剂量偶联物的结果。该模型预测,当结合位点未发生饱和时,给药策略对肿瘤中定位的偶联物量影响很小。