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优化肿瘤学研究中的临床前研究设计。

Optimizing preclinical study design in oncology research.

机构信息

Flint Animal Cancer Center, Department of Clinical Sciences, Colorado State University, 300 West Drake Road, Fort Collins, CO 80523-1620, United States.

出版信息

Chem Biol Interact. 2011 Apr 25;190(2-3):73-8. doi: 10.1016/j.cbi.2011.01.029. Epub 2011 Feb 4.

Abstract

The current drug development pathway in oncology research has led to a large attrition rate for new drugs, in part due to a general lack of appropriate preclinical studies that are capable of accurately predicting efficacy and/or toxicity in the target population. Because of an obvious need for novel therapeutics in many types of cancer, new compounds are being investigated in human Phase I and Phase II clinical trials before a complete understanding of their toxicity and efficacy profiles is obtained. In fact, for newer targeted molecular agents that are often cytostatic in nature, the conventional preclinical evaluation used for traditional cytotoxic chemotherapies utilizing primary tumor shrinkage as an endpoint may not be appropriate. By utilizing an integrated pharmacokinetic/pharmacodynamic approach, along with proper selection of a model system, the drug development process in oncology research may be improved leading to a better understanding of the determinants of efficacy and toxicity, and ultimately fewer drugs that fail once they reach human clinical trials.

摘要

目前肿瘤学研究中的药物开发途径导致新药的淘汰率很高,部分原因是普遍缺乏能够准确预测目标人群疗效和/或毒性的适当临床前研究。由于许多类型的癌症明显需要新的治疗方法,因此在完全了解其毒性和疗效特征之前,正在对人类 I 期和 II 期临床试验中的新型化合物进行研究。事实上,对于新型靶向分子药物,由于其通常具有细胞抑制作用,因此利用原发性肿瘤缩小作为终点的传统细胞毒性化疗药物所使用的常规临床前评估可能并不合适。通过利用药代动力学/药效学综合方法,并适当选择模型系统,肿瘤学研究中的药物开发过程可能会得到改善,从而更好地了解疗效和毒性的决定因素,最终减少一旦进入人体临床试验就失败的药物。

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