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首页> 外文期刊>The Journal of Pharmacology and Experimental Therapeutics: Official Publication of the American Society for Pharmacology and Experimental Therapeutics >Preclinical predictors of anticancer drug efficacy: Critical assessment with emphasis on whether nanomolar potency should be required of candidate agents
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Preclinical predictors of anticancer drug efficacy: Critical assessment with emphasis on whether nanomolar potency should be required of candidate agents

机译:临床前抗癌药预测指标:关键评估,重点在于候选药物是否应要求纳摩尔效价

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摘要

In the current paradigm of anticancer drug development, candidate compounds are evaluated by testing their in vitro potency against molecular targets relevant to carcinogenesis, their effect on cultured cancer cells, and their ability to inhibit cancer growth in animal models. We discuss the key assumptions inherent in these approaches. In recent years, great emphasis has been placed on selecting for development compounds with nanomolar in vitro potency, expecting that they will be efficacious and safer based on the assumption that they can be used at lower doses ("the nanomolar rule"). However, this rule ignores critical parameters affecting efficacy and toxicity such as physiochemical and absorption, distribution, metabolism and excretion properties, off-target effects, and multitargeting activities. Thus, uncritical application of the nanomolar rule may reject efficacious compounds or select ineffective or toxic compounds. We present examples of efficacious chemotherapeutic (alkylating agents, hormonal agents, antimetabolites, thalidomide, and valproic acid) and chemopreventive (aspirin and sulindac) agents having millimolar potency and compounds with nanomolar potency (cyclooxygenase-2 inhibitors) that, nevertheless, failed or proved to be unsafe. The effect of candidate drugs on animal models of cancer is a better predictor of human drug efficacy; particularly useful are tumor xenografts. Given the cost of failure at clinical stages, it is imperative to keep in mind the limitations of the nanomolar rule and use relevant in vivo models early in drug discovery to prioritize candidates. Although in vivo models will continue having a major role in cancer drug development, more robust approaches that combine high predictive ability with simplicity and low cost should be developed.
机译:在当前的抗癌药物开发范例中,通过在动物模型中测试候选化合物针对与致癌相关的分子靶标的体外效力,对培养的癌细胞的作用以及它们抑制癌症生长的能力,来评估候选化合物。我们讨论了这些方法中固有的关键假设。近年来,人们一直非常重视选择具有纳摩尔体外效力的开发化合物,并基于它们可以以较低剂量使用的假设(“纳摩尔规则”),期望它们将是有效和安全的。但是,该规则忽略了影响功效和毒性的关键参数,例如理化和吸收,分布,代谢和排泄特性,脱靶效应和多靶点活性。因此,毫不费力地应用纳摩尔规则可能会排斥有效的化合物或选择无效或有毒的化合物。我们提供了有效的化学疗法(烷化剂,激素药,抗代谢药,沙利度胺和丙戊酸)和化学预防药(阿司匹林和舒林酸)的实例,这些药物具有毫摩尔的效力,而具有纳摩尔浓度的化合物(环加氧酶-2抑制剂)却未能通过或证明是有效的不安全。候选药物对癌症动物模型的作用是人类药物疗效的更好预测指标。特别有用的是肿瘤异种移植物。考虑到临床阶段失败的代价,必须牢记纳摩尔法则的局限性,并在药物发现早期使用相关的体内模型来确定候选药物的优先级。尽管体内模型将继续在癌症药物开发中发挥重要作用,但应开发出将高预测能力与简单性和低成本相结合的更可靠的方法。

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