title: Influence of pharmacogenetic variability on the pharmacokinetics and toxicity of the aurora kinase inhibitor danusertib.
abstract: OBJECTIVE
  Danusertib is a serine/threonine kinase inhibitor of multiple kinases, including aurora-A, B, and C. This explorative study aims to identify possible relationships between single nucleotide polymorphisms in genes coding for drug metabolizing enzymes and transporter proteins and clearance of danusertib, to clarify the interpatient variability in exposure. In addition, this study explores the relationship between target receptor polymorphisms and toxicity of danusertib.
  
  
  METHODS
  For associations with clearance, 48 cancer patients treated in a phase I study were analyzed for ABCB1, ABCG2 and FMO3 polymorphisms. Association analyses between neutropenia and drug target receptors, including KDR, RET, FLT3, FLT4, AURKB and AURKA, were performed in 30 patients treated at recommended phase II dose-levels in three danusertib phase I or phase II trials.
  
  
  RESULTS
  No relationships between danusertib clearance and drug metabolizing enzymes and transporter protein polymorphisms were found. Only, for the one patient with FMO3 18281AA polymorphism, a significantly higher clearance was noticed, compared to patients carrying at least 1 wild type allele. No effect of target receptor genotypes or haplotypes on neutropenia was observed.
  
  
  CONCLUSIONS
  As we did not find any major correlations between pharmacogenetic variability in the studied enzymes and transporters and pharmacokinetics nor toxicity, it is unlikely that danusertib is highly susceptible for pharmacogenetic variation. Therefore, no dosing alterations of danusertib are expected in the future, based on the polymorphisms studied. However, the relationship between FMO3 polymorphisms and clearance of danusertib warrants further research, as we could study only a small group of patients.
authors.affiliation: Department of Clinical Oncology, K1-P, Leiden University Medical Center, PO Box 9600, 2300 RC Leiden, The Netherlands.
authors.forename: Neeltje
authors.initials: N
authors.lastname: Steeghs
authors.forename: Ron H J
authors.initials: RH
authors.lastname: Mathijssen
authors.forename: Judith A M
authors.initials: JA
authors.lastname: Wessels
authors.forename: Anne-Joy
authors.initials: AJ
authors.lastname: de Graan
authors.forename: Tahar
authors.initials: T
authors.lastname: van der Straaten
authors.forename: Mariangela
authors.initials: M
authors.lastname: Mariani
authors.forename: Bernard
authors.initials: B
authors.lastname: Laffranchi
authors.forename: Silvia
authors.initials: S
authors.lastname: Comis
authors.forename: Maja J A
authors.initials: MJ
authors.lastname: de Jonge
authors.forename: Hans
authors.initials: H
authors.lastname: Gelderblom
authors.forename: Henk-Jan
authors.initials: HJ
authors.lastname: Guchelaar
mesh_terms: D000328:Adult; D000368:Aged; D000704:Analysis of Variance; D000970:Antineoplastic Agents / Q000009:adverse effects* / Q000493:pharmacokinetics* / Q000494:pharmacology; D064096:Aurora Kinase A; D064107:Aurora Kinase B; D064127:Aurora Kinases; D001549:Benzamides / Q000009:adverse effects* / Q000493:pharmacokinetics* / Q000494:pharmacology; D005260:Female; D006239:Haplotypes / Q000235:genetics; D006801:Humans; D008297:Male; D008875:Middle Aged; D060787:Neoplasm Grading; D010597:Pharmacogenetics; D011110:Polymorphism, Genetic; D047428:Protein Kinase Inhibitors / Q000009:adverse effects* / Q000493:pharmacokinetics* / Q000494:pharmacology; D017346:Protein Serine-Threonine Kinases / Q000037:antagonists & inhibitors* / Q000378:metabolism; D011720:Pyrazoles / Q000009:adverse effects* / Q000493:pharmacokinetics* / Q000494:pharmacology; D055815:Young Adult
chemical_list: D000970:Antineoplastic Agents; D001549:Benzamides; D047428:Protein Kinase Inhibitors; D011720:Pyrazoles; C576917:AURKA protein, human; C576921:AURKB protein, human; D064096:Aurora Kinase A; D064107:Aurora Kinase B; D064127:Aurora Kinases; D017346:Protein Serine-Threonine Kinases; C523797:danusertib