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癌症治疗中靶向细胞周期蛋白依赖性激酶的历史与未来

The history and future of targeting cyclin-dependent kinases in cancer therapy.

作者信息

Asghar Uzma, Witkiewicz Agnieszka K, Turner Nicholas C, Knudsen Erik S

机构信息

Breakthrough Breast Cancer Research Centre, Chester Beatty Laboratories, Institute of Cancer Research, London, SW3 6JB, UK.

Simmons Cancer Center and Department of Pathology, University of Texas Southwestern, Dallas, USA.

出版信息

Nat Rev Drug Discov. 2015 Feb;14(2):130-46. doi: 10.1038/nrd4504.

Abstract

Cancer represents a pathological manifestation of uncontrolled cell division; therefore, it has long been anticipated that our understanding of the basic principles of cell cycle control would result in effective cancer therapies. In particular, cyclin-dependent kinases (CDKs) that promote transition through the cell cycle were expected to be key therapeutic targets because many tumorigenic events ultimately drive proliferation by impinging on CDK4 or CDK6 complexes in the G1 phase of the cell cycle. Moreover, perturbations in chromosomal stability and aspects of S phase and G2/M control mediated by CDK2 and CDK1 are pivotal tumorigenic events. Translating this knowledge into successful clinical development of CDK inhibitors has historically been challenging, and numerous CDK inhibitors have demonstrated disappointing results in clinical trials. Here, we review the biology of CDKs, the rationale for therapeutically targeting discrete kinase complexes and historical clinical results of CDK inhibitors. We also discuss how CDK inhibitors with high selectivity (particularly for both CDK4 and CDK6), in combination with patient stratification, have resulted in more substantial clinical activity.

摘要

癌症是细胞不受控制的分裂的一种病理表现;因此,长期以来人们一直期望,我们对细胞周期调控基本原理的理解能够带来有效的癌症治疗方法。特别是,促进细胞周期转换的细胞周期蛋白依赖性激酶(CDK)被认为是关键的治疗靶点,因为许多致瘤事件最终通过影响细胞周期G1期的CDK4或CDK6复合物来驱动细胞增殖。此外,由CDK2和CDK1介导的染色体稳定性扰动以及S期和G2/M期调控方面是关键的致瘤事件。将这一知识转化为CDK抑制剂的成功临床开发在历史上一直具有挑战性,并且许多CDK抑制剂在临床试验中都显示出令人失望的结果。在这里,我们综述CDK的生物学特性、靶向离散激酶复合物的治疗原理以及CDK抑制剂的历史临床结果。我们还将讨论具有高选择性(特别是对CDK4和CDK6两者)的CDK抑制剂,结合患者分层,如何带来了更显著的临床活性。

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