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Modeling mechanisms of in vivo variability in methotrexate accumulation and folate pathway inhibition in acute lymphoblastic leukemia cells
- Source :
- PLoS Computational Biology, Vol 6, Iss 12, p e1001019 (2010), PLoS Computational Biology
- Publication Year :
- 2010
- Publisher :
- Public Library of Science (PLoS), 2010.
-
Abstract
- Methotrexate (MTX) is widely used for the treatment of childhood acute lymphoblastic leukemia (ALL). The accumulation of MTX and its active metabolites, methotrexate polyglutamates (MTXPG), in ALL cells is an important determinant of its antileukemic effects. We studied 194 of 356 patients enrolled on St. Jude Total XV protocol for newly diagnosed ALL with the goal of characterizing the intracellular pharmacokinetics of MTXPG in leukemia cells; relating these pharmacokinetics to ALL lineage, ploidy and molecular subtype; and using a folate pathway model to simulate optimal treatment strategies. Serial MTX concentrations were measured in plasma and intracellular MTXPG concentrations were measured in circulating leukemia cells. A pharmacokinetic model was developed which accounted for the plasma disposition of MTX along with the transport and metabolism of MTXPG. In addition, a folate pathway model was adapted to simulate the effects of treatment strategies on the inhibition of de novo purine synthesis (DNPS). The intracellular MTXPG pharmacokinetic model parameters differed significantly by lineage, ploidy, and molecular subtypes of ALL. Folylpolyglutamate synthetase (FPGS) activity was higher in B vs T lineage ALL (p<br />Author Summary One of the primary agents used in the treatment of childhood acute lymphoblastic leukemia (ALL) is methotrexate (MTX). By better understanding its intracellular disposition, we are able to better design treatments that circumvent drug resistance and thus help improve ALL cure rates. In this study, we develop a system of mathematical models that describe the intracellular disposition of MTX along with its inhibition of important biosynthetic pathways necessary for cell division. First, we used the models to describe the disposition of intracellular MTX in a cohort of 194 patients enrolled on St. Jude Total XV protocol for newly diagnosed ALL. The results of this modeling allowed us to determine mechanisms of in vivo variability in MTX accumulation. These mechanisms related to both the influx and efflux of the drug along with the enzymes related to its metabolism. Next, we used model simulations to show the effects of changes in MTX dose and schedule on its efficacy. The results of these simulations show that longer infusions yield better efficacy and that higher MTX doses can circumvent resistance observed in ALL subtypes with lower intracellular MTX accumulate. The results from this study provide new insights into the design of more effective therapy for pediatric ALL.
- Subjects :
- Male
Pharmacology
Biology
Cohort Studies
03 medical and health sciences
Cellular and Molecular Neuroscience
Folic Acid
0302 clinical medicine
Pharmacokinetics
In vivo
Genetics
medicine
Humans
Neoplasm
Computer Simulation
Molecular Biology
Childhood Acute Lymphoblastic Leukemia
lcsh:QH301-705.5
Ecology, Evolution, Behavior and Systematics
030304 developmental biology
0303 health sciences
Polymorphism, Genetic
Computational Biology/Systems Biology
Ecology
Computational Biology
Hematology/Acute Lymphoblastic Leukemia
Precursor Cell Lymphoblastic Leukemia-Lymphoma
medicine.disease
3. Good health
Gene Expression Regulation, Neoplastic
Leukemia
Methotrexate
Polyglutamic Acid
Computational Theory and Mathematics
lcsh:Biology (General)
Drug Resistance, Neoplasm
030220 oncology & carcinogenesis
Modeling and Simulation
Female
Oncology/Pediatric Oncology
Mathematics/Statistics
Cell Division
Metabolic Networks and Pathways
Intracellular
Drug metabolism
Research Article
medicine.drug
Subjects
Details
- Language :
- English
- ISSN :
- 15537358
- Volume :
- 6
- Issue :
- 12
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology
- Accession number :
- edsair.doi.dedup.....cc61f3a0598d023e6f797008cd24e0db