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1304-Multiomic Profiling of Acute Myeloid Leukemia

This comprehensive research presents a multiomic atlas of acute myeloid leukemia (AML), utilizing data from 173 patients to bridge the gap between genetic mutations and clinical outcomes. By integrating thirteen different data modalities, including proteomics, metabolomics, and lipidomics, the study defines eight distinct molecular subtypes that transcend traditional classification systems. The findings highlight a critical metabolic divide where primitive and committed leukemia cells display opposing activities in the MYC and mTOR pathways. Furthermore, the analysis identifies unique…

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