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Review
. 2017 Apr;56(4):317-337.
doi: 10.1007/s40262-016-0450-z.

Genotypes Affecting the Pharmacokinetics of Anticancer Drugs

Affiliations
Review

Genotypes Affecting the Pharmacokinetics of Anticancer Drugs

Daphne Bertholee et al. Clin Pharmacokinet. 2017 Apr.

Abstract

Cancer treatment is becoming more and more individually based as a result of the large inter-individual differences that exist in treatment outcome and toxicity when patients are treated using population-based drug doses. Polymorphisms in genes encoding drug-metabolizing enzymes and transporters can significantly influence uptake, metabolism, and elimination of anticancer drugs. As a result, the altered pharmacokinetics can greatly influence drug efficacy and toxicity. Pharmacogenetic screening and/or drug-specific phenotyping of cancer patients eligible for treatment with chemotherapeutic drugs, prior to the start of anticancer treatment, can identify patients with tumors that are likely to be responsive or resistant to the proposed drugs. Similarly, the identification of patients with an increased risk of developing toxicity would allow either dose adaptation or the application of other targeted therapies. This review focuses on the role of genetic polymorphisms significantly altering the pharmacokinetics of anticancer drugs. Polymorphisms in DPYD, TPMT, and UGT1A1 have been described that have a major impact on the pharmacokinetics of 5-fluorouracil, mercaptopurine, and irinotecan, respectively. For other drugs, however, the association of polymorphisms with pharmacokinetics is less clear. To date, the influence of genetic variations on the pharmacokinetics of the increasingly used monoclonal antibodies has hardly been investigated. Some studies indicate that genes encoding the Fcγ-receptor family are of interest, but more research is needed to establish if screening before the start of therapy is beneficial. Considering the profound impact of polymorphisms in drug transporters and drug-metabolizing enzymes on the pharmacokinetics of chemotherapeutic drugs and hence, their toxicity and efficacy, pharmacogenetic and pharmacokinetic profiling should become the standard of care.

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Conflict of interest statement

Funding

No sources of funding were used to assist with the preparation of this review.

Conflict of interest

Daphne Bertholee, Dr. Jan Gerard Maring, and Dr. André B.P. van Kuilenburg have no conflicts of interest that are relevant to the content of this review.

Figures

Fig. 1
Fig. 1
Metabolism of drugs interfering with purine and pyrimidine synthesis. a Metabolism of fluoropyrimidine-containing drugs. b Thiopurine metabolism. c Methotrexate metabolism. d Nucleoside metabolism. ABC adenosine triphosphate-binding cassette family of transporters, CDA cytidine deaminase, DCK deoxycytidine kinase, DHF dihydrofolate, DHFR dihydrofolate reductase, DPYD dihydropyrimidine dehydrogenase, DPYS dihydropyrimidinase, FBAL fluoro-β-alanine, FGPS folylpolyglutamate synthase, FUH 2 5-fluoro-dihydrouracil, FUPA fluoro-β-ureidopropionate, GGH γ-glutamyl hydrolase, HPRT1 hypoxanthine-guanine phosphoribosyltransferase, MTX methotrexate, MTX-PGs MTX-polyglutamate, NA (deoxy)nucleoside analogs, RFC reduced folate carrier, SLCO1B1 solute carrier organic anion transporter B, THF tetrahydrofolate, dehydrogenase/oxidase, TPMT thiopurine-S-methyltransferase, UPB1 β-ureidopropionase, XDH xanthine, 5-FU 5-fluorouracil, 6-MeMP 6-methylmercaptopurine, 6-MeTIMP 6-methylthioinosine monophosphate, 6-MP 6-mercaptopurine, 6-TGN 6-thioguanine nucleotides, 6-TIMP 6-thioinosine monophosphate, 6-TUA 6-thiouric acid

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