Seelig Anna
Biozentrum, University of Basel, Basel, Switzerland.
Front Oncol. 2020 Oct 26;10:576559. doi: 10.3389/fonc.2020.576559. eCollection 2020.
P-glycoprotein or multidrug resistance protein (MDR1) is an adenosine triphosphate (ATP) binding cassette transporter (ABCB1) intensely investigated because it is an obstacle to successful pharmacotherapy of cancers. P-glycoprotein prevents cellular uptake of a large number of structurally and functionally diverse compounds, including most cancer therapeutics and in this way causes multidrug resistance (MDR). To overcome MDR, and thus improve cancer treatment, an understanding of P-glycoprotein inhibition at the molecular level is required. With this goal in mind, we propose rules that predict whether a compound is a modulator, substrate, inhibitor, or inducer of P-glycoprotein. This new set of rules is derived from a quantitative analysis of the drug binding and transport properties of P-glycoprotein. We further discuss the role of P-glycoprotein in immune surveillance and cell metabolism. Finally, the predictive power of the proposed rules is demonstrated with a set of FDA approved drugs which have been repurposed for cancer therapy.
P-糖蛋白或多药耐药蛋白(MDR1)是一种三磷酸腺苷(ATP)结合盒转运蛋白(ABCB1),因其是癌症成功药物治疗的障碍而受到深入研究。P-糖蛋白可阻止细胞摄取大量结构和功能各异的化合物,包括大多数癌症治疗药物,从而导致多药耐药(MDR)。为了克服多药耐药,进而改善癌症治疗,需要在分子水平上了解P-糖蛋白的抑制作用。出于这一目的,我们提出了一些规则,用于预测一种化合物是P-糖蛋白的调节剂、底物、抑制剂还是诱导剂。这组新规则源自对P-糖蛋白药物结合和转运特性的定量分析。我们还进一步讨论了P-糖蛋白在免疫监视和细胞代谢中的作用。最后,通过一组已被重新用于癌症治疗的FDA批准药物,证明了所提出规则的预测能力。