Literature DB >> 19667267

Pharmacogenetic pathway analysis for determination of sunitinib-induced toxicity.

Nielka P van Erp1, Karel Eechoute, Astrid A van der Veldt, John B Haanen, An K L Reyners, Ron H J Mathijssen, Epie Boven, Tahar van der Straaten, Renée F Baak-Pablo, Judith A M Wessels, Henk-Jan Guchelaar, Hans Gelderblom.   

Abstract

PURPOSE: To identify genetic markers in the pharmacokinetic and pharmacodynamic pathways of sunitinib that predispose for development of toxicities: thrombocytopenia, leukopenia, mucosal inflammation, hand-foot syndrome, and any toxicity according to National Cancer Institute Common Toxicity Criteria higher than grade 2. PATIENTS AND METHODS: A multicenter pharmacogenetic association study was performed in 219 patients treated with single-agent sunitinib. A total of 31 single nucleotide polymorphisms in 12 candidate genes, together with several nongenetic variants, were analyzed for a possible association with toxicity. In addition, genetic haplotypes were developed and related to toxicity.
RESULTS: The risk for leukopenia was increased when the G allele in CYP1A1 2455A/G (odds ratio [OR], 6.24; P = .029) or the T allele in FLT3 738T/C (OR, 2.8; P = .008) were present or CAG in the NR1I3 (5719C/T, 7738A/C, 7837T/G) haplotype (OR, 1.74; P = .041) was absent. Any toxicity higher than grade 2 prevalence was increased when the T allele of vascular endothelial growth factor receptor 2 1191C/T (OR, 2.39; P = .046) or a copy of TT in the ABCG2 (-15622C/T, 1143C/T) haplotype (OR, 2.63; P = .016) were present. The risk for mucosal inflammation was increased in the presence of the G allele in CYP1A1 2455A/G (OR, 4.03; P = .021) and the prevalence of hand-foot syndrome was increased when a copy of TTT in the ABCB1 (3435C/T, 1236C/T, 2677G/T) haplotype (OR, 2.56; P = .035) was present.
CONCLUSION: This exploratory study suggests that polymorphisms in specific genes encoding for metabolizing enzymes, efflux transporters, and drug targets are associated with sunitinib-related toxicities. A better understanding of genetic and nongenetic determinants of sunitinib toxicity should help to optimize drug treatment in individual patients.

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Year:  2009        PMID: 19667267     DOI: 10.1200/JCO.2008.21.7679

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  62 in total

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Authors:  J S L Kloth; M C Verboom; J J Swen; T van der Straaten; S Sleijfer; A K L Reyners; N Steeghs; H Gelderblom; H J Guchelaar; R H J Mathijssen
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4.  Cytochromes P450 1A2 and 3A4 Catalyze the Metabolic Activation of Sunitinib.

Authors:  Gracia M Amaya; Rebecca Durandis; David S Bourgeois; James A Perkins; Arsany A Abouda; Kahari J Wines; Mohamed Mohamud; Samuel A Starks; R Nathan Daniels; Klarissa D Jackson
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9.  Myelosuppression by sunitinib is flt-3 genotype dependent.

Authors:  N P van Erp; R H J Mathijssen; A A van der Veldt; J B Haanen; A K L Reyners; K Eechoute; E Boven; J A M Wessels; H-J Guchelaar; H Gelderblom
Journal:  Br J Cancer       Date:  2010-08-03       Impact factor: 7.640

10.  Predictive value of CYP3A and ABCB1 phenotyping probes for the pharmacokinetics of sunitinib: the ClearSun study.

Authors:  Jacqueline S L Kloth; Heinz-Josef Klümpen; Huixin Yu; Karel Eechoute; Caroline F Samer; Boen L R Kam; Alwin D R Huitema; Youssef Daali; Aeilko H Zwinderman; Bavanthi Balakrishnar; Roelof J Bennink; Mark Wong; Jan H M Schellens; Ron H J Mathijssen; Howard Gurney
Journal:  Clin Pharmacokinet       Date:  2014-03       Impact factor: 6.447

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