Suppr超能文献

线粒体抑制剂规避了 venetoclax 和阿糖胞苷联合治疗急性髓系白血病的适应性耐药。

Mitochondrial inhibitors circumvent adaptive resistance to venetoclax and cytarabine combination therapy in acute myeloid leukemia.

机构信息

Centre de Recherches en Cancérologie de Toulouse, Université de Toulouse, Inserm, CNRS, Toulouse, France.

LabEx Toucan, Toulouse, France.

出版信息

Nat Cancer. 2021 Nov;2(11):1204-1223. doi: 10.1038/s43018-021-00264-y. Epub 2021 Nov 11.

Abstract

Therapy resistance represents a major clinical challenge in acute myeloid leukemia (AML). Here we define a 'MitoScore' signature, which identifies high mitochondrial oxidative phosphorylation in vivo and in patients with AML. Primary AML cells with cytarabine (AraC) resistance and a high MitoScore relied on mitochondrial Bcl2 and were highly sensitive to venetoclax (VEN) + AraC (but not to VEN + azacytidine). Single-cell transcriptomics of VEN + AraC-residual cell populations revealed adaptive resistance associated with changes in oxidative phosphorylation, electron transport chain complex and the TP53 pathway. Accordingly, treatment of VEN + AraC-resistant AML cells with electron transport chain complex inhibitors, pyruvate dehydrogenase inhibitors or mitochondrial ClpP protease agonists substantially delayed relapse following VEN + AraC. These findings highlight the central role of mitochondrial adaptation during AML therapy and provide a scientific rationale for alternating VEN + azacytidine with VEN + AraC in patients with a high MitoScore and to target mitochondrial metabolism to enhance the sensitivity of AML cells to currently approved therapies.

摘要

治疗抵抗是急性髓系白血病(AML)的一个主要临床挑战。在这里,我们定义了一个“线粒体评分(MitoScore)”特征,该特征可在体内和 AML 患者中识别出高线粒体氧化磷酸化。具有阿糖胞苷(AraC)耐药性和高 MitoScore 的原发性 AML 细胞依赖于线粒体 Bcl2,对 venetoclax(VEN)+AraC(但对 VEN+阿扎胞苷无反应)高度敏感。VEN+AraC 残留细胞群的单细胞转录组学揭示了与氧化磷酸化、电子传递链复合物和 TP53 途径变化相关的适应性耐药。因此,用电子传递链复合物抑制剂、丙酮酸脱氢酶抑制剂或线粒体 ClpP 蛋白酶激动剂治疗 VEN+AraC 耐药的 AML 细胞,可显著延迟 VEN+AraC 后的复发。这些发现强调了线粒体适应在 AML 治疗中的核心作用,并为在高 MitoScore 患者中交替使用 VEN+阿扎胞苷和 VEN+AraC 以及靶向线粒体代谢以提高 AML 细胞对现有批准疗法的敏感性提供了科学依据。

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