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Extrapolation of pharmacokinetic interaction data of proton pump inhibitors obtained in healthy subjects for oral targeted therapies in cancer patients

机译:外推药代动力学相互作用的数据质子泵抑制剂获得的健康受试者口服靶向治疗的癌症病人

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摘要

During the drug-development process, it is essential to evaluate the potential for any drug-drug interaction (DDI) during early clinical Phase I stage based on the in vitro absorption distribution metabolism excretion (ADME) data gathered during the discovery-development transition phase leading to the IND filing of the new chemical entity [1,2]. Such an evaluation becomes critical for anticancer therapy due to a higher risk of the occurrence of clinical DDI if the novel chemical entity is a victim or a perpetrator drug of cytochrome P450 enzyme (CYP) and/or uptake (liver/renal) transporters because of the existence of polypharmacy in the treatment of cancer patients [3,4], In this context, a recent article describes the dilemma observed in the PK data interpretation when rifampicin was used as a tool drug to study the induction of CYP3A4 enzyme in cancer patients [5]. Because rifampicin contributes for DDI via additional mechanisms such as P-glycoprotein (Pgp)/UDP glucuronosyl transferase (UGT) induction and uptake transporter inhibition, the interpretation of the PK data poses a challenge [5].
机译:在药物研发过程中,它是评估潜在的任何的关键在早期临床药物之间的相互作用(DDI)基于体外吸收期阶段分布代谢排泄(ADME)数据聚集在discovery-development过渡阶段导致的印第安纳州申请新化学实体[1,2]。抗癌药物治疗由于变得非常关键临床DDI如果发生的风险更高这部小说是受害者还是化学实体犯罪者药物的细胞色素P450酶(CYP)和/或吸收(肝/肾)转运蛋白因为复方用药治疗的存在的癌症患者(3、4),在这种情况下,一个最近的文章描述了观察到的困境当利福平PK数据解释作为工具药研究的感应CYP3A4酶在癌症患者[5]。利福平为DDI通过额外的贡献22 (Pgp) / UDP等机制glucuronosyl转移酶(UGT)诱导和吸收的抑制,解释PK数据构成的挑战[5]。

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