4.3 Article

GSTA1 diplotypes affect busulfan clearance and toxicity in children undergoing allogeneic hematopoietic stem cell transplantation: a multicenter study

期刊

ONCOTARGET
卷 8, 期 53, 页码 90852-90867

出版社

IMPACT JOURNALS LLC
DOI: 10.18632/oncotarget.20310

关键词

busulfan; pharmacokinetics; pharmacogenetics; toxicity; hematopoietic stem cell transplantion

资金

  1. Swiss National Science Foundation [153389]
  2. CANSEARCH Foundation
  3. Geneva Cancer League
  4. Dr. Henri Dubois-Ferriere Dinu Lipatti Foundation
  5. Foundation of Charles-Bruneau Cancer Center

向作者/读者索取更多资源

Busulfan (BU) dose adjustment following therapeutic drug monitoring contributes to better outcome of hematopoietic stem cell transplantation (HSCT). Further improvement could be achieved through genotype-guided BU dose adjustments. To investigate this aspect, polymorphism within glutathione S transferase genes were assessed. Particularly, promoter haplotypes of the glutathione S transferase A1 (GSTA1) were evaluated in vitro, with reporter gene assays and clinically, in a pediatric multi-center study (N = 138) through association with BU pharmacokinetics (PK) and clinical outcomes. Promoter activity significantly differed between the GSTA1 haplotypes (p< 0.001) supporting their importance in capturing PK variability. Four GSTA1 diplotype groups that significantly correlated with clearance (p= 0.009) were distinguished. Diplotypes underlying fast and slow metabolizing capacity showed higher and lower BU clearance (ml/min/kg), respectively. GSTA1 diplotypes with slow metabolizing capacity were associated with higher incidence of sinusoidal obstruction syndrome, acute graft versus host disease and combined treatment- related toxicity (p< 0.0005). Among other GST genes investigated, GSTP1 313GG correlated with acute graft versus host disease grade 1- 4 (p= 0.01) and GSTM1 non- null genotype was associated with hemorrhagic cystitis (p= 0.003). This study further strengthens the hypothesis that GST diplotypes/genotypes could be incorporated into already existing population pharmacokinetic models for improving first BU dose prediction and HSCT outcomes.

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