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Optimizing targeted cancer therapy: Towards clinical application of systems biology approaches

机译:优化靶向癌症治疗:系统生物学方法的临床应用

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In cancer, genetic and epigenetic alterations ultimately culminate in discordant activation of signal transduction pathways driving the malignant process. Pharmacological or biological inhibition of such pathways holds significant promise with respect to devising rational therapy for cancer. Thus, technical concepts pursuing robust characterization of kinase activity in tissue samples from cancer patients have been subject of investigation. In the present review we provide a comprehensive overview of these techniques and discuss their advantages and disadvantages for systems biology approaches to identify kinase targets in oncological disease. Recent advances in the development and application of array-based peptide-substrate kinase activity screens show great promise in overcoming the discrepancy between the evaluation of aberrant cell signaling in specific malignancies or even individual patients and the currently available ensemble of highly specific targeted treatment strategies. These developments have the potential to result in a more effective selection of kinase inhibitors and thus optimize mechanism-based patient-specific therapeutic strategies. Given the results from current research on the tumor kinome, generating network views on aberrant tumor cell signaling is critical to meet this challenge.
机译:在癌症中,遗传和表观遗传学改变最终导致驱动恶性过程的信号转导途径的不协调激活。就设计合理的癌症治疗而言,这种途径的药理或生物学抑制作用具有重大前景。因此,追求对癌症患者的组织样品中的激酶活性进行可靠表征的技术概念已经成为研究的主题。在本综述中,我们提供了这些技术的全面概述,并讨论了它们在系统生物学方法中确定肿瘤疾病中激酶靶点的优缺点。基于阵列的肽-底物激酶活性筛选技术的开发和应用的最新进展显示出巨大的希望,可以克服特定恶性肿瘤甚至个别患者中异常细胞信号的评估与目前高度可用的靶向治疗策略之间的差异。这些发展有可能导致更有效地选择激酶抑制剂,从而优化基于机制的患者特异性治疗策略。鉴于目前有关肿瘤激酶组研究的结果,生成有关异常肿瘤细胞信号传导的网络视图对于应对这一挑战至关重要。

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