School of Mathematics, University of Minnesota and Masonic Cancer Center, Minneapolis, MN, USA.
J Thorac Oncol. 2012 Oct;7(10):1583-93. doi: 10.1097/JTO.0b013e31826146ee.
Erlotinib (Tarceva) is an epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor, which effectively targets EGFR-mutant driven non-small-cell lung cancer. However, the evolution of acquired resistance because of a second-site mutation (T790M) within EGFR remains an obstacle to successful treatment.
We used mathematical modeling and available clinical trial data to predict how different pharmacokinetic parameters (fast versus slow metabolism) and dosing schedules (low dose versus high dose; missed doses with and without make-up doses) might affect the evolution of T790M-mediated resistance in mixed populations of tumor cells.
We found that high-dose pulses with low-dose continuous therapy impede the development of resistance to the maximum extent, both pre- and post-emergence of resistance. The probability of resistance is greater in fast versus slow drug metabolizers, suggesting a potential mechanism, unappreciated to date, influencing acquired resistance in patients. In case of required dose modifications because of toxicity, little difference is observed in terms of efficacy and resistance dynamics between the standard daily dose (150 mg/d) and 150 mg/d alternating with 100 mg/d. Missed doses are expected to lead to resistance faster, even if make-up doses are attempted.
For existing and new kinase inhibitors, this novel framework can be used to rationally and rapidly design optimal dosing strategies to minimize the development of acquired resistance.
厄洛替尼(特罗凯)是一种表皮生长因子受体(EGFR)酪氨酸激酶抑制剂,能有效针对 EGFR 突变驱动的非小细胞肺癌。然而,由于 EGFR 内的二次突变(T790M)而产生的获得性耐药仍然是成功治疗的障碍。
我们使用数学模型和现有临床试验数据来预测不同药代动力学参数(快速代谢与缓慢代谢)和给药方案(低剂量与高剂量;有或无补救剂量的漏服剂量)如何影响混合肿瘤细胞中 T790M 介导的耐药性的演变。
我们发现,高剂量脉冲与低剂量持续治疗相结合,在耐药性出现之前和之后最大程度地阻碍了耐药性的发展。在药物代谢较快的患者中,耐药的可能性大于代谢较慢的患者,这表明存在一种潜在的机制,迄今为止尚未被认识,影响着患者获得性耐药。如果由于毒性需要调整剂量,那么标准日剂量(150mg/d)与 150mg/d 与 100mg/d 交替使用在疗效和耐药动力学方面几乎没有差异。即使尝试补救剂量,漏服剂量预计也会更快导致耐药性的产生。
对于现有的和新的激酶抑制剂,这个新的框架可以用于合理快速地设计最佳的给药策略,以最大程度地减少获得性耐药的发生。