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基于结构建模解析 RAF 抑制剂耐药性揭示克服致癌 RAS 信号的方法。

Dissecting RAF Inhibitor Resistance by Structure-based Modeling Reveals Ways to Overcome Oncogenic RAS Signaling.

机构信息

Systems Biology Ireland, University College Dublin, Dublin, Ireland.

University of Luxembourg, Luxembourg; ProtATonce Ltd, Athens, Greece.

出版信息

Cell Syst. 2018 Aug 22;7(2):161-179.e14. doi: 10.1016/j.cels.2018.06.002. Epub 2018 Jul 11.

Abstract

Clinically used RAF inhibitors are ineffective in RAS mutant tumors because they enhance homo- and heterodimerization of RAF kinases, leading to paradoxical activation of ERK signaling. Overcoming enhanced RAF dimerization and the resulting resistance is a challenge for drug design. Combining multiple inhibitors could be more effective, but it is unclear how the best combinations can be chosen. We built a next-generation mechanistic dynamic model to analyze combinations of structurally different RAF inhibitors, which can efficiently suppress MEK/ERK signaling. This rule-based model of the RAS/ERK pathway integrates thermodynamics and kinetics of drug-protein interactions, structural elements, posttranslational modifications, and cell mutational status as model rules to predict RAF inhibitor combinations for inhibiting ERK activity in oncogenic RAS and/or BRAFV600E backgrounds. Predicted synergistic inhibition of ERK signaling was corroborated by experiments in mutant NRAS, HRAS, and BRAFV600E cells, and inhibition of oncogenic RAS signaling was associated with reduced cell proliferation and colony formation.

摘要

临床上使用的 RAF 抑制剂在 RAS 突变型肿瘤中无效,因为它们增强了 RAF 激酶的同二聚体和异二聚体形成,导致 ERK 信号的反常激活。克服增强的 RAF 二聚化和由此产生的耐药性是药物设计的一个挑战。联合使用多种抑制剂可能更有效,但尚不清楚如何选择最佳组合。我们构建了一个下一代的机制动态模型来分析结构不同的 RAF 抑制剂的组合,这些抑制剂可以有效地抑制 MEK/ERK 信号。该 RAS/ERK 通路的基于规则的模型整合了药物-蛋白相互作用、结构元件、翻译后修饰和细胞突变状态的热力学和动力学作为模型规则,以预测 RAF 抑制剂组合在致癌 RAS 和/或 BRAFV600E 背景下抑制 ERK 活性。在突变型 NRAS、HRAS 和 BRAFV600E 细胞中的实验证实了对 ERK 信号的协同抑制,并且抑制致癌 RAS 信号与降低细胞增殖和集落形成有关。

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