Bender Joe, Fang Jianwen, Simon Richard
Biometric Research Program, Division of Cancer Treatment and Diagnosis, National Cancer Institute, 9609 Medical Center Dr, Rockville, MD, 20850, USA.
BMC Syst Biol. 2017 Nov 21;11(1):108. doi: 10.1186/s12918-017-0498-x.
Drug resistance mediated by P-glycoprotein (P-gp) renders many cancer therapies ineffective. One P-gp substrate is the widely used chemotherapy drug paclitaxel. Co-administration of paclitaxel and another drug that inhibits P-gp may enhance the therapeutic effectiveness of paclitaxel by preventing its efflux from tumor cells.
Here we present a computational approach that combines docking studies with mass action kinetic modeling to investigate how kinase inhibitors may inhibit P-gp mediated paclitaxel efflux. The results show that the inhibition can be attributed to competition between paclitaxel and a tyrosine kinase inhibitor (TKI) for the substrate binding domain (SBD) as well as competition between the kinase inhibitor and ATP for the nuclear (ATP) binding domain (NBD). The relative scales of these two competitions are TKI dependent and determined by the relative affinities of paclitaxel and TKIs to the SBD and NBD of P-gp, and their membrane partition coefficients. Additional simulations suggested that there is no single strategy to further improve the ability of TKIs to inhibit paclitaxel efflux and the most efficient way likely depends on the properties of the TKIs.
The developed model fits existing experimental results well and thus detailed analyses of isolated parameters provide insight into the mechanisms of rather important drug efflux. It can be used to guide how to design better TKIs or develop feasible drug combination strategies for targeting P-gp induced drug resistance.
由P-糖蛋白(P-gp)介导的耐药性使许多癌症治疗方法无效。一种P-gp底物是广泛使用的化疗药物紫杉醇。紫杉醇与另一种抑制P-gp的药物联合使用,可能通过防止其从肿瘤细胞中流出而提高紫杉醇的治疗效果。
在此,我们提出一种计算方法,该方法将对接研究与质量作用动力学建模相结合,以研究激酶抑制剂如何抑制P-gp介导的紫杉醇流出。结果表明,这种抑制作用可归因于紫杉醇与酪氨酸激酶抑制剂(TKI)之间对底物结合域(SBD)的竞争,以及激酶抑制剂与ATP之间对核苷(ATP)结合域(NBD)的竞争。这两种竞争的相对规模取决于TKI,并由紫杉醇和TKI对P-gp的SBD和NBD的相对亲和力及其膜分配系数决定。进一步的模拟表明,没有单一的策略可以进一步提高TKI抑制紫杉醇流出的能力,最有效的方法可能取决于TKI的特性。
所建立的模型与现有的实验结果吻合良好,因此对孤立参数的详细分析为相当重要的药物流出机制提供了深入了解。它可用于指导如何设计更好的TKI或制定针对P-gp诱导的耐药性的可行药物联合策略。