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Activity-Based Proteomics Reveals Heterogeneous Kinome and ATP-Binding Proteome Responses to MEK Inhibition in KRAS Mutant Lung Cancer

机译:基于活动的蛋白质组学揭示了KRAS突变型肺癌中MEK抑制的异质性基因组和ATP结合蛋白组学反应。

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摘要

One way cancer cells can escape from targeted agents is through their ability to evade drug effects by rapidly rewiring signaling networks. Many protein classes, such as kinases and metabolic enzymes, are regulated by ATP binding and hydrolysis. We hypothesized that a system-level profiling of drug-induced alterations in ATP-binding proteomes could offer novel insights into adaptive responses. Here, we mapped global ATP-binding proteomes perturbed by two clinical MEK inhibitors, AZD6244 and MEK162, in KRAS mutant lung cancer cells as a model system harnessing a desthiobiotin-ATP probe coupled with LC-MS/MS. We observed strikingly unique ATP-binding proteome responses to MEK inhibition, which revealed heterogeneous drug-induced pathway signatures in each cell line. We also identified diverse kinome responses, indicating each cell adapts to MEK inhibition in unique ways. Despite the heterogeneity of kinome responses, decreased probe labeling of mitotic kinases and an increase of kinases linked to autophagy were identified to be common responses. Taken together, our study revealed a diversity of adaptive ATP-binding proteome and kinome responses to MEK inhibition in KRAS mutant lung cancer cells, and our study further demonstrated the utility of our approach to identify potential candidates of targetable ATP-binding enzymes involved in adaptive resistance and to develop rational drug combinations.
机译:癌细胞可以逃脱靶向药物的一种方式是通过迅速重新连接信号网络来逃避药物作用的能力。 ATP结合和水解可调节许多蛋白质类型,例如激酶和代谢酶。我们假设,药物诱导的ATP结合蛋白质组变化的系统级分析可以为适应性反应提供新的见解。在这里,我们绘制了在KRAS突变型肺癌细胞中被两种临床MEK抑制剂AZD6244和MEK162扰动的全球ATP结合蛋白质组,作为利用脱硫生物素-ATP探针与LC-MS / MS耦合的模型系统。我们观察到了对MEK抑制的惊人独特的ATP结合蛋白质组反应,揭示了每个细胞系中异源药物诱导的途径签名。我们还确定了各种激酶反应,表明每个细胞以独特的方式适应MEK抑制。尽管kinome反应的异质性,有丝分裂激酶的探针标记减少和与自噬相关的激酶的增加被认为是常见的反应。综上所述,我们的研究揭示了KRAS突变型肺癌细胞中针对MEK抑制的适应性ATP结合蛋白质组和激酶组应答的多样性,并且我们的研究进一步证明了我们的方法可用于识别参与适应性研究的可靶向ATP结合酶的潜在候选人抗药性并发展合理的药物组合。

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