Basseville Agnes, Violet Pierre-Christian, Safari Maryam, Sourbier Carole, Linehan W Marston, Robey Robert W, Levine Mark, Sackett Dan L, Bates Susan E
Developmental Therapeutics Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Omics Data Science Unit, Institut de Cancérologie de l'Ouest, 49055 Angers, France.
Cancers (Basel). 2022 May 26;14(11):2643. doi: 10.3390/cancers14112643.
The mechanism of action of romidepsin and other histone deacetylase inhibitors is still not fully explained. Our goal was to gain a mechanistic understanding of the RAS-linked phenotype associated with romidepsin sensitivity.
The NCI60 dataset was screened for molecular clues to romidepsin sensitivity. Histone acetylation, DNA damage, ROS production, metabolic state (real-time measurement and metabolomics), and gene expression alterations (transcriptomics) were determined in KRAS-WT versus KRAS-mutant cell groups. The search for biomarkers in response to HDACi was implemented by supervised machine learning analysis on a 608-cell transcriptomic dataset and validated in a clinical dataset.
Romidepsin treatment induced depletion in acetyl-CoA in all tested cell lines, which led to oxidative stress, metabolic stress, and increased death-particularly in KRAS-mutant cell lines. Romidepsin-induced stresses and death were rescued by acetyl-CoA replenishment. Two acetyl-CoA gene expression signatures associated with HDACi sensitivity were derived from machine learning analysis in the CCLE (Cancer Cell Line Encyclopedia) cell panel. Signatures were then validated in the training cohort for seven HDACi, and in an independent 13-patient cohort treated with belinostat.
Our study reveals the importance of acetyl-CoA metabolism in HDAC sensitivity, and it highlights acetyl-CoA generation pathways as potential targets to combine with HDACi.
罗米地辛及其他组蛋白去乙酰化酶抑制剂的作用机制仍未完全阐明。我们的目标是深入了解与罗米地辛敏感性相关的RAS连锁表型的作用机制。
在NCI60数据集中筛选罗米地辛敏感性的分子线索。在KRAS野生型与KRAS突变型细胞组中测定组蛋白乙酰化、DNA损伤、活性氧生成、代谢状态(实时测量和代谢组学)以及基因表达改变(转录组学)。通过对608细胞转录组数据集进行监督式机器学习分析来寻找对HDACi有反应的生物标志物,并在临床数据集中进行验证。
罗米地辛处理导致所有测试细胞系中的乙酰辅酶A耗竭,进而导致氧化应激、代谢应激和细胞死亡增加——尤其是在KRAS突变型细胞系中。补充乙酰辅酶A可挽救罗米地辛诱导的应激和细胞死亡。通过在CCLE(癌细胞系百科全书)细胞组中进行机器学习分析,得出了两个与HDACi敏感性相关的乙酰辅酶A基因表达特征。然后在七个HDACi的训练队列以及接受贝利司他治疗的13名患者的独立队列中对这些特征进行了验证。
我们的研究揭示了乙酰辅酶A代谢在HDAC敏感性中的重要性,并强调乙酰辅酶A生成途径作为与HDACi联合使用的潜在靶点。