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Genotypes Affecting the Pharmacokinetics of Anticancer Drugs

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Specialty Pharmacology
Date 2016 Sep 20
PMID 27641154
Citations 31
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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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References
1.
Borges S, Desta Z, Li L, Skaar T, Ward B, Nguyen A . Quantitative effect of CYP2D6 genotype and inhibitors on tamoxifen metabolism: implication for optimization of breast cancer treatment. Clin Pharmacol Ther. 2006; 80(1):61-74. DOI: 10.1016/j.clpt.2006.03.013. View

2.
Weng W, Negrin R, Lavori P, Horning S . Immunoglobulin G Fc receptor FcgammaRIIIa 158 V/F polymorphism correlates with rituximab-induced neutropenia after autologous transplantation in patients with non-Hodgkin's lymphoma. J Clin Oncol. 2009; 28(2):279-84. PMC: 2815716. DOI: 10.1200/JCO.2009.25.0274. View

3.
Diekstra M, Swen J, Boven E, Castellano D, Gelderblom H, Mathijssen R . CYP3A5 and ABCB1 polymorphisms as predictors for sunitinib outcome in metastatic renal cell carcinoma. Eur Urol. 2015; 68(4):621-9. DOI: 10.1016/j.eururo.2015.04.018. View

4.
Oshiro C, Marsh S, Mcleod H, Whirl Carrillo M, Klein T, Altman R . Taxane pathway. Pharmacogenet Genomics. 2010; 19(12):979-83. PMC: 2998989. DOI: 10.1097/FPC.0b013e3283335277. View

5.
Johnson G, Lin K, Cox T, Oates M, Sibson D, Eccles R . CYP2B6*6 is an independent determinant of inferior response to fludarabine plus cyclophosphamide in chronic lymphocytic leukemia. Blood. 2013; 122(26):4253-8. DOI: 10.1182/blood-2013-07-516666. View