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Metabolomic insights into pathogenesis and therapeutic potential in adult acute lymphoblastic leukemia

代谢组学 细胞内 癌症研究 新陈代谢 药理学 生物 医学 生物信息学 生物化学
作者
Jun-Yu Wang,Tuantuan Gui,Bo Jiao,Liu Xuan,Xiaolin Ma,Cheng Wang,Jing Qiao,Weiyang Liu,Lijun Peng,Jiayi Ren,Yong‐Mei Zhu,Xiang-Qin Weng,Chao Wang,Qian-Qian Zhang,Gaoxian Song,Yuting Dai,Zhenyi Wang,Gang Lv,Chenxu Gao,Q. L. Niu,Ming Zhang,Yun Tan,Yuanfang Liu,Shengyue Wang,Jian Hou,Duohui Jing,Ankang Lyu,Jian‐Qing Mi,Zhu Chen,Wen‐Lian Chen,Yin Tong,Hai Fang,Jin Wang,Sai‐Juan Chen
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:122 (7)
标识
DOI:10.1073/pnas.2423169122
摘要

Acute lymphoblastic leukemia (ALL) poses challenges in adult patients, considering its heterogeneous nature and often suboptimal treatment outcomes. Here, we performed a study on 201 newly diagnosed adult ALL cases (age ≥ 15 y) to generate intracellular and dynamic serum metabolomic profiles. Our findings revealed a predominant increase in bile acid (BA) metabolites in serum, alongside metabolic rewiring that supported highly proliferative states and actively metabolic signaling, such as enriched nucleotide metabolism in leukemic blasts. By integrating intracellular metabolomics and transcriptomics, we constructed the Comprehensive Metabolic Information Dataset (CMID), which facilitated the development of a clustering system to supplement current risk stratification. Furthermore, we explored potential metabolic interventions targeting the serum BA profile and energy metabolism in blasts. The combined use of simvastatin with vincristine and dexamethasone regimen demonstrated a synergistic therapeutic effect in a murine ALL model, effectively lowering key BA levels in serum and suppressing the infiltration of leukemic blasts in the liver. In light of the enhanced intracellular redox metabolism, combining FK866 (a nicotinamide phosphoribosyltransferase inhibitor) and venetoclax significantly prolonged survival in a patient-derived xenograft ALL model. Our findings, along with the resulting resources ( http://www.genetictargets.com/MALL ), provide a framework for the metabolism-centered management of ALL.
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