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- W4387310561 abstract "Introduction: Acute lymphoblastic leukemia (ALL) represents the most prevalent childhood malignancy. Despite high cure rates, several questions regarding predisposition, response to treatment, and prognosis of the disease remain. The role of intermediary metabolism in the individualized mechanistic pathways of the disease is unclear. We have hypothesized that children with any (sub)type of ALL present a distinct metabolomic fingerprint at diagnosis when compared: i) to a control group; ii) to children with a different (sub)type of ALL; iii) to the end of the induction treatment. Methods: This prospective case-control study (NCT03035344) analyzed plasma and urinary metabolites in 34 children with ALL before the beginning (D0) and at the end of the induction treatment (D33). Their metabolic fingerprint was defined by targeted analysis of 106 metabolites and compared to that of an equal number of matched controls. Multivariate and univariate statistical analysis was conducted by SIMCAP and scripts under R programming language. Results: Metabolome analysis showed distinct changes in patients with ALL compared to controls on both D0 and D33. The metabolomic fingerprint within the group of patients differed significantly between common B and pre-B ALL, and between D0 and D33, reflecting the effect of treatment. We have further identified the main components of this metabolic dysregulation that indicate shifts in fatty acid synthesis, transfer and oxidation, in amino acid and glycerophospholipids metabolism and in glutaminolysis/TCA cycle. Conclusions: The notable type and disease time point specific metabolic alterations observed in pediatric ALL may offer the potential for the discovery of new prognostic biomarkers and therapeutic targets." @default.
- W4387310561 created "2023-10-04" @default.
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- W4387310561 date "2023-10-03" @default.
- W4387310561 modified "2023-10-05" @default.
- W4387310561 title "METABOLIC FINGERPRINT IN CHILDHOOD ACUTE LYMPHOBLASTIC LEUKEMIA" @default.
- W4387310561 doi "https://doi.org/10.22541/au.169633095.55732900/v1" @default.
- W4387310561 hasPublicationYear "2023" @default.
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