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

机译:优化靶向癌症疗法:对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,遗传和表观遗传改变最终最终达到驱动恶性过程的信号转导途径的不安全的激活。这种途径的药理学或生物学抑制对于设计癌症的理性治疗具有重要的希望。因此,追求癌症患者组织样品中激酶活性的鲁棒特征的技术概念已经受到调查。在本综述中,我们提供了全面的这些技术概述,并讨论了系统生物学方法的优缺点,以鉴定肿瘤疾病中的激酶靶标。阵列基肽 - 衬底激酶活性屏幕的开发和应用的最新进展表现出克服特定恶性肿瘤或甚至个体患者在特定恶性肿瘤中的异常细胞信号传导之间的差异以及现有的高度特异性目标治疗策略的差异。这些发展有可能导致更有效的激酶抑制剂选择,从而优化基于机制的患者特异性治疗策略。鉴于目前对肿瘤Kinome的研究结果,对异常肿瘤细胞信号传导的产生网络视图对于满足这一挑战至关重要。

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