Suppr超能文献

ROS1 抑制剂的差异网络分析揭示 lorlatinib 通过共同靶向 PYK2 实现多靶性。

Differential network analysis of ROS1 inhibitors reveals lorlatinib polypharmacology through co-targeting PYK2.

机构信息

Department of Drug Discovery, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA.

Proteomics and Metabolomics Core, H. Lee Moffitt Cancer Center & Research Institute, Tampa, FL 33612, USA.

出版信息

Cell Chem Biol. 2024 Feb 15;31(2):284-297.e10. doi: 10.1016/j.chembiol.2023.09.011. Epub 2023 Oct 16.

Abstract

Multiple tyrosine kinase inhibitors (TKIs) are often developed for the same indication. However, their relative overall efficacy is frequently incompletely understood and they may harbor unrecognized targets that cooperate with the intended target. We compared several ROS1 TKIs for inhibition of ROS1-fusion-positive lung cancer cell viability, ROS1 autophosphorylation and kinase activity, which indicated disproportionately higher cellular potency of one TKI, lorlatinib. Quantitative chemical and phosphoproteomics across four ROS1 TKIs and differential network analysis revealed that lorlatinib uniquely impacted focal adhesion signaling. Functional validation using pharmacological probes, RNA interference, and CRISPR-Cas9 knockout uncovered a polypharmacology mechanism of lorlatinib by dual targeting ROS1 and PYK2, which form a multiprotein complex with SRC. Rational multi-targeting of this complex by combining lorlatinib with SRC inhibitors exhibited pronounced synergy. Taken together, we show that systems pharmacology-based differential network analysis can dissect mixed canonical/non-canonical polypharmacology mechanisms across multiple TKIs enabling the design of rational drug combinations.

摘要

多种酪氨酸激酶抑制剂(TKI)通常针对同一适应症开发。然而,它们的相对整体疗效往往不完全清楚,并且它们可能具有与预期靶标合作的未被识别的靶标。我们比较了几种 ROS1 TKI 对 ROS1 融合阳性肺癌细胞活力、ROS1 自身磷酸化和激酶活性的抑制作用,结果表明一种 TKI(lorlatinib)具有不成比例的更高细胞效力。对四种 ROS1 TKI 的定量化学和磷酸蛋白质组学以及差异网络分析表明,lorlatinib 独特地影响粘着斑信号。使用药理学探针、RNA 干扰和 CRISPR-Cas9 敲除进行功能验证,揭示了 lorlatinib 通过双重靶向 ROS1 和 PYK2 的多药理学机制,PYK2 与 SRC 形成一个多蛋白复合物。通过将 lorlatinib 与 SRC 抑制剂联合使用对该复合物进行合理的多靶向治疗,表现出明显的协同作用。总之,我们表明,基于系统药理学的差异网络分析可以剖析多种 TKI 中的混合规范/非规范多药理学机制,从而能够设计合理的药物组合。

相似文献

本文引用的文献

2
ROS1-dependent cancers - biology, diagnostics and therapeutics.ROS1 依赖性癌症——生物学、诊断学与治疗学。
Nat Rev Clin Oncol. 2021 Jan;18(1):35-55. doi: 10.1038/s41571-020-0408-9. Epub 2020 Aug 5.
9
Role of Pyk2 in Human Cancers.Pyk2 在人类癌症中的作用。
Med Sci Monit. 2018 Nov 14;24:8172-8182. doi: 10.12659/MSM.913479.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验