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首页> 外文期刊>Investigational new drugs. >Screening candidate anticancer drugs for brain tumor chemotherapy: pharmacokinetic-driven approach for a series of (E)-N-(substituted aryl)-3-(substituted phenyl)propenamide analogues.
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Screening candidate anticancer drugs for brain tumor chemotherapy: pharmacokinetic-driven approach for a series of (E)-N-(substituted aryl)-3-(substituted phenyl)propenamide analogues.

机译:筛选用于脑肿瘤化疗的候选抗癌药物:一系列(E)-N-(取代的芳基)-3-(取代的苯基)丙烯酰胺类似物的药代动力学驱动方法。

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A pharmacokinetic [PK]-driven screening process was implemented to select new agents for brain tumor chemotherapy from a series of low molecular weight anticancer agents [ON27x] that consisted of 141 compounds. The screening procedures involved a combination of in silico, in vitro and in vivo mouse studies that were cast into a pipeline of tier 1 and tier 2 failures that resulted in a final investigation of 2 analogues in brain tumor-bearing mice. Tier 1 failures included agents with a molecular weight of > 450 Da, a predicted log P (log P) of either <2 or > 3.5, and a cytotoxicity IC(50) value of > 2 uM. Next, 18 compounds underwent cassette dosing studies in normal mice that identified compounds with high systemic clearance, and low blood-brain barrier [BBB] penetration. These indices along with a derived parameter, referred to as the brain exposure index, comprised tier 2 failures that led to the administration of 2 compounds [ON27570, ON27740] as single agents [discrete dosing] to mice bearing intracerebral tumors. Comparison of ON27570's resultant PK parameters to those obtained in the cassette dosing format suggested a drug-drug interaction most likely at the level of BBB transport, and prompted the use of the in vitro MDCK-MDR1 transport model to help assess the nature of the discrepancy. Overall, the approach was able to identify candidate compounds with suitable PK characteristics yet further revisions to the method, such as the use of in vitro metabolism and transport assays, may improve the PK-directed approach to identify efficacious agents for brain tumor chemotherapy.
机译:实施了药代动力学[PK]驱动的筛选过程,以从一系列由141种化合物组成的低分子量抗癌药[ON27x]中选择用于脑肿瘤化疗的新药。筛选程序涉及计算机模拟,体外和体内小鼠研究的组合,这些研究被植入第1级和第2级失败的流水线中,从而导致了对带有脑瘤的小鼠中2种类似物的最终研究。第1层故障包括分子量> 450 Da,预测log P(log P)<2或> 3.5以及细胞毒性IC(50)值> 2 uM的药物。接下来,在正常小鼠中对18种化合物进行了盒式剂量研究,这些化合物鉴定出具有高系统清除率和低血脑屏障[BBB]穿透性的化合物。这些指数以及一个称为脑暴露指数的派生参数,包含第2级失败,导致第2类化合物[ON27570,ON27740]作为单一药物[离散给药]给药于患有脑内肿瘤的小鼠。将ON27570的所得PK参数与以盒式给药方式获得的PK参数进行比较,表明药物-药物相互作用最可能在BBB转运水平上进行,并提示使用体外MDCK-MDR1转运模型来帮助评估差异的性质。总体而言,该方法能够鉴定具有合适PK特性的候选化合物,但对该方法的进一步修订(例如使用体外代谢和转运测定法)可能会改进PK指导的方法,以鉴定出用于脑肿瘤化疗的有效药物。

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