Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania.
Mol Cancer Res. 2019 Jun;17(6):1365-1377. doi: 10.1158/1541-7786.MCR-18-0256. Epub 2019 Mar 12.
Current methods to evaluate effects of kinase inhibitors in cancer are suboptimal. Analysis of changes in cancer metabolism in response to the inhibitors creates an opportunity for better understanding of the interplay between cell signaling and metabolism and, from the translational perspective, potential early evaluation of response to the inhibitors as well as treatment optimization. We performed genomic, metabolomic, and fluxomic analyses to evaluate the mechanism of action of the Bruton's tyrosine kinase (BTK) inhibitor ibrutinib (IBR) in mantle cell lymphoma (MCL) cells. Our comprehensive analysis of the data generated by these diverse technologies revealed that IBR profoundly affected key metabolic pathways in IBR-sensitive cells including glycolysis, pentose phosphate pathway, TCA cycle, and glutaminolysis while having much less effects on IBR-poorly responsive cells. Changes in H magnetic resonance spectroscopy (MRS)-detectable lactate and alanine concentrations emerged as promising biomarkers of response and resistance to IBR as demonstrated from experiments on various MCL cell lines. The metabolic network analysis on the C MRS and C LC/MS experimental data provided quantitative estimates of various intracellular fluxes and energy contributions. Glutaminolysis contributed over 50% of mitochondrial ATP production. Administration of the glutaminase inhibitor CB-839 induced growth suppression of the IBR-poorly responsive cells. IMPLICATIONS: Our study demonstrates application of the advanced metabolomic/fluxomic techniques for comprehensive, precise, and prompt evaluations of the effects of kinase inhibition in MCL cells and has strong translational implications by potentially permitting early evaluation of cancer patient response versus resistance to kinase inhibitors and on design of novel therapies for overcoming the resistance.
目前评估激酶抑制剂在癌症中的疗效的方法并不理想。分析癌症代谢对抑制剂的反应为更好地理解细胞信号转导和代谢之间的相互作用提供了机会,从转化的角度来看,也为早期评估对抑制剂的反应以及治疗优化提供了可能。我们进行了基因组、代谢组和通量组分析,以评估布鲁顿酪氨酸激酶(BTK)抑制剂伊布替尼(IBR)在套细胞淋巴瘤(MCL)细胞中的作用机制。我们对这些不同技术产生的数据进行了全面分析,结果表明 IBR 显著影响了 IBR 敏感细胞中的关键代谢途径,包括糖酵解、戊糖磷酸途径、三羧酸循环和谷氨酰胺分解,而对 IBR 反应不佳的细胞影响较小。磁共振波谱(MRS)检测到的乳酸和丙氨酸浓度的变化作为对 IBR 反应和耐药的有前途的生物标志物出现,这从对各种 MCL 细胞系的实验中得到了证明。基于 C MRS 和 C LC/MS 实验数据的代谢网络分析提供了各种细胞内通量和能量贡献的定量估计。谷氨酰胺分解为线粒体 ATP 生成贡献了超过 50%。谷氨酰胺酶抑制剂 CB-839 的给药诱导 IBR 反应不佳的细胞生长抑制。意义:我们的研究展示了先进的代谢组学/通量组学技术在全面、精确和快速评估 MCL 细胞中激酶抑制作用的应用,并通过潜在地允许早期评估癌症患者对激酶抑制剂的反应与耐药性以及设计克服耐药性的新疗法,具有很强的转化意义。