Eckenstein Kazumi, Cengiz Beyza, Chang Matthew E K, Cartier Jessie May, Flory Mark R, Thomas George V
Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, USA.
Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health and Science University, Portland, OR 97201, USA.
Metabolites. 2025 Jun 12;15(6):393. doi: 10.3390/metabo15060393.
Renal cell carcinoma (RCC) exhibits distinctive metabolic vulnerabilities that may be therapeutically targeted. This study investigates how tigecycline, an FDA-approved antibiotic that inhibits mitochondrial translation, affects RCC cells and explores potential combinatorial approaches to enhance its efficacy. We employed comprehensive metabolomic profiling, subcellular proteomics, and functional assays to characterize the effects of tigecycline on RCC cell lines, patient-derived organoids, and xenograft models. The synergistic potential of tigecycline with the histone deacetylase inhibitor entinostat was evaluated using combination index analysis. Tigecycline selectively inhibited mitochondrial translation in RCC cells, reducing mitochondrially-encoded proteins while sparing nuclear-encoded components, profoundly disrupting mitochondrial bioenergetics and reducing tumor growth in xenograft models. Subcellular proteomic analyses revealed that tigecycline treatment triggered a significant accumulation of multiple histone variants concurrent with cell cycle arrest. Based on this discovery, combined treatment with tigecycline and entinostat demonstrated remarkable synergism across RCC cell lines and patient-derived. Our findings identify a promising therapeutic opportunity by targeting the crosstalk between mitochondrial function and epigenetic homeostasis in RCC, with the potential for rapid clinical translation given the established pharmacological profiles of both agents.
肾细胞癌(RCC)表现出独特的代谢脆弱性,可能成为治疗靶点。本研究调查了替加环素(一种美国食品药品监督管理局批准的抑制线粒体翻译的抗生素)如何影响RCC细胞,并探索增强其疗效的潜在联合方法。我们采用综合代谢组学分析、亚细胞蛋白质组学和功能测定来表征替加环素对RCC细胞系、患者来源的类器官和异种移植模型的影响。使用联合指数分析评估了替加环素与组蛋白去乙酰化酶抑制剂恩替诺特的协同潜力。替加环素选择性抑制RCC细胞中的线粒体翻译,减少线粒体编码的蛋白质,同时保留核编码成分,严重破坏线粒体生物能量学并减少异种移植模型中的肿瘤生长。亚细胞蛋白质组学分析表明,替加环素处理引发多种组蛋白变体的显著积累,同时导致细胞周期停滞。基于这一发现,替加环素和恩替诺特联合治疗在RCC细胞系和患者来源的样本中显示出显著的协同作用。我们的研究结果通过靶向RCC中线粒体功能和表观遗传稳态之间的相互作用,确定了一个有前景的治疗机会,鉴于这两种药物已确立的药理学特征,有可能迅速转化为临床应用。