Metabolic Fingerprint in Childhood Acute Lymphoblastic Leukemia
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Published:2024-03-24
Issue:7
Volume:14
Page:682
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ISSN:2075-4418
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Container-title:Diagnostics
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language:en
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Short-container-title:Diagnostics
Author:
Papadopoulou Maria T.12ORCID, Panagopoulou Paraskevi1, Paramera Efstathia3, Pechlivanis Alexandros45, Virgiliou Christina56ORCID, Papakonstantinou Eugenia7ORCID, Palabougiouki Maria8, Ioannidou Maria8ORCID, Vasileiou Eleni8, Tragiannidis Athanasios8ORCID, Papakonstantinou Evangelos3, Theodoridis Georgios45ORCID, Hatzipantelis Emmanuel8ORCID, Evangeliou Athanasios19ORCID
Affiliation:
1. 4th Pediatric Department, Papageorgiou General Hospital, Aristotle University of Thessaloniki, Papageorgiou General Hospital, Ring Road, Nea Efkarpia, 56403 Thessaloniki, Greece 2. Woman-Mother-Child Hospital, University Hospitals of Lyon, 69500 Bron, France 3. NEOLAB S.A., Medical Laboratory, 11527 Athens, Greece 4. Department of Chemistry, Aristotle University of Thessaloniki, 54635 Thessaloniki, Greece 5. BIOMIC_Auth, Center for Interdisciplinary Research of the Aristotle University of Thessaloniki (CIRI), Balkan Center, 10th Km Thessaloniki-Thermi Rd, P.O. Box 8318, 57001 Thessaloniki, Greece 6. Analytical Chemistry Laboratory, Department of Chemical Engineering, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece 7. Department of Pediatric Oncology, Ippokratio General Hospital, 54642 Thessaloniki, Greece 8. Pediatric & Adolescents Hematology-Oncology Unit, 2nd Pediatric Department, AHEPA Hospital, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece 9. St Luke’s Hospital S.A., 55236 Pannorama, Greece
Abstract
Introduction: Acute lymphoblastic leukemia (ALL) is the most prevalent childhood malignancy. Despite high cure rates, several questions remain regarding predisposition, response to treatment, and prognosis of the disease. 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 have 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. Materials and Methods: In this prospective case–control study (NCT03035344), plasma and urinary metabolites were analyzed 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 analyses were performed using SIMCAP and scripts under the R programming language. Results: Metabolomic analysis showed distinct changes in patients with ALL compared to controls on both D0 and D33. The metabolomic fingerprint within the patient group differed significantly between common B-ALL and pre-B ALL and between D0 and D33, reflecting the effect of treatment. We have further identified the major components of this metabolic dysregulation, indicating shifts in fatty acid synthesis, transfer and oxidation, in amino acid and glycerophospholipid metabolism, and in the glutaminolysis/TCA cycle. Conclusions: The disease type and time point-specific metabolic alterations observed in pediatric ALL are of particular interest as they may offer potential for the discovery of new prognostic biomarkers and therapeutic targets.
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