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Variants in TPMT, ITPA, ABCC4 and ABCB1 genes as predictors of 6-mercaptopurine induced toxicity in children with acute lymphoblastic leukemia

  • Goran Milosevic
  • , Nikola Kotur
  • , Nada Krstovski
  • , Jelena Lazic
  • , Branka Zukic
  • , Biljana Stankovic
  • , Dragana Janic
  • , Theodora Katsila
  • , George P. Patrinos
  • , Sonja Pavlovic
  • , Lidija Dokmanovic
  • University Children Hospital
  • University of Belgrade
  • University of Patras

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Background: Acute lymphoblastic leukemia is the most common childhood malignancy. Optimal use of antileukemic drugs has led to less toxicity and adverse reactions, and a higher survival rate. Thiopurine drugs, including 6-mercap-topurine, are mostly used as antileukemic medications in the maintenance phase of treatment for children with acute lymphoblastic leukemia. For those patients, TPMT genotype-tailored 6-mercaptopurine therapy is already implemented in the treatment protocols. We investigated the role of TPMT, ITPA, ABCC4 and ABCB1 genetic variants as predictors of outcome and 6-mercaptopurine induced toxicity during the maintenance phase of treatment in pediatric acute lymphoblastic leukemia. Methods: Sixty-eight children with acute lymphoblastic leukemia were enrolled in this study. Patients have been treated according to ALL IC-BFM 2002 or ALL IC-BFM 2009 protocols. Toxicity and adverse events have been monitored via surrogate markers (off-therapy weeks, episodes of leukopenia and average 6-mercaptopurine dose) and a probabilistic model was employed to predict overall 6-mercap-topurine related toxicity. Results: We confirmed that patients with acute lymphoblastic leukemia that carry inactive TPMT allele(s) require 6-mercaptopurine dose reduction. ITPA and ABCC4 genetic variants failed to show an association with 6-mercapto-purine induced toxicity during the maintenance phase. Carriers of ABCB1 variant allele experienced greater hepatotoxicity. The probabilistic model Neural net which considered all the analysed genetic variants was assessed to be the best prediction model. It was able to discriminate ALL patients with good and poor 6-mercaptopurin tolerance in 71% of cases (AUC=0.71). Conclusions: This study contributes to the design of a panel of pharmacogenetic markers for predicting thiopurine-induced toxicity in pediatric ALL.

Original languageEnglish
Pages (from-to)320-327
Number of pages8
JournalJournal of Medical Biochemistry
Volume37
Issue number3
DOIs
StatePublished - Jul 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • 6-mercaptopurine (6-MP)
  • ABCB1
  • ABCC4
  • Childhood acute lymphoblastic leukemia (ALL)
  • ITPA
  • TPMT

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