University Grenoble Alpes (UGA)/INSERM U1209/National Center for Scientific Research 5309, Institute for Advanced Biosciences, Grenoble, France.
Department of Biological Hematology, Grenoble Alpes University Hospital, Grenoble, France.
Blood Adv. 2021 Jan 12;5(1):156-166. doi: 10.1182/bloodadvances.2020002981.
Leukemic cells display some alterations in metabolic pathways, which play a role in leukemogenesis and in patients' prognosis. To evaluate the characteristics and the impact of this metabolic reprogramming, we explore the bone marrow samples from 54 de novo acute myeloid leukemia (AML) patients, using an untargeted metabolomics approach based on proton high-resolution magic angle spinning-nuclear magnetic resonance. The spectra obtained were subjected to multivariate statistical analysis to find specific metabolome alterations and biomarkers correlated to clinical features. We found that patients display a large diversity of metabolic profiles, according to the different AML cytologic subtypes and molecular statuses. The link between metabolism and molecular status was particularly strong for the oncometabolite 2-hydroxyglutarate (2-HG), whose intracellular production is directly linked to the presence of isocitrate dehydrogenase mutations. Moreover, patients' prognosis was strongly impacted by several metabolites, such as 2-HG that appeared as a good prognostic biomarker in our cohort. Conversely, deregulations in phospholipid metabolism had a negative impact on prognosis through 2 main metabolites (phosphocholine and phosphoethanolamine), which could be potential aggressiveness biomarkers. Finally, we highlighted an overexpression of glutathione and alanine in chemoresistant patients. Overall, our results demonstrate that different metabolic pathways could be activated in leukemic cells according to their phenotype and maturation levels. This confirms that metabolic reprogramming strongly influences prognosis of patients and underscores a particular role of certain metabolites and associated pathways in AML prognosis, suggesting common mechanisms developed by leukemic cells to maintain their aggressiveness even after well-conducted induction chemotherapy.
白血病细胞在代谢途径上表现出一些改变,这些改变在白血病的发生和患者的预后中起着作用。为了评估这种代谢重编程的特征和影响,我们使用基于质子高分辨率魔角旋转-核磁共振的非靶向代谢组学方法,对 54 例初发急性髓系白血病(AML)患者的骨髓样本进行了研究。对获得的光谱进行多变量统计分析,以找到与临床特征相关的特定代谢组改变和生物标志物。我们发现,根据不同的 AML 细胞学亚型和分子状态,患者表现出很大的代谢谱多样性。代谢与分子状态之间的联系在致癌代谢物 2-羟戊二酸(2-HG)中尤为强烈,其细胞内产生直接与异柠檬酸脱氢酶突变的存在相关。此外,几种代谢物对患者的预后有强烈影响,例如在我们的队列中,2-HG 作为一个良好的预后生物标志物。相反,磷脂代谢的失调通过 2 种主要代谢物(磷酸胆碱和磷酸乙醇胺)对预后产生负面影响,它们可能是潜在的侵袭性生物标志物。最后,我们在化疗耐药患者中发现谷胱甘肽和丙氨酸的过度表达。总的来说,我们的结果表明,根据白血病细胞的表型和成熟水平,不同的代谢途径可能在白血病细胞中被激活。这证实了代谢重编程强烈影响患者的预后,并强调了某些代谢物和相关途径在 AML 预后中的特殊作用,表明白血病细胞为了保持其侵袭性,即使在经过充分诱导化疗后,也会发展出共同的机制。