Literature DB >> 20608756

Population pharmacokinetics of gemcitabine and its metabolite in Japanese cancer patients: impact of genetic polymorphisms.

Emiko Sugiyama1, Nahoko Kaniwa, Su-Ryang Kim, Ryuichi Hasegawa, Yoshiro Saito, Hideki Ueno, Takuji Okusaka, Masafumi Ikeda, Chigusa Morizane, Shunsuke Kondo, Noboru Yamamoto, Tomohide Tamura, Junji Furuse, Hiroshi Ishii, Teruhiko Yoshida, Nagahiro Saijo, Jun-Ichi Sawada.   

Abstract

BACKGROUND AND
OBJECTIVE: Gemcitabine (2',2'-difluorodeoxycytidine) is an anticancer drug, which is effective against solid tumours, including non-small-cell lung cancer and pancreatic cancer. After gemcitabine is transported into cells by equilibrative and concentrative nucleoside transporters, it is phosphorylated by deoxycytidine kinase (DCK) and further phosphorylated to its active diphosphorylated and triphosphorylated forms. Gemcitabine is rapidly metabolized by cytidine deaminase (CDA) to an inactive metabolite, 2',2'-difluorodeoxyuridine (dFdU), which is excreted into the urine. Toxicities of gemcitabine are generally mild, but unpredictable severe toxicities such as myelosuppression and interstitial pneumonia are occasionally encountered. The aim of this study was to determine the factors, including genetic polymorphisms of CDA, DCK and solute carrier family 29A1 (SLC29A1 [hENT1]), that alter the pharmacokinetics of gemcitabine in Japanese cancer patients. PATIENTS AND METHODS: 250 Japanese cancer patients who received 30-minute intravenous infusions of gemcitabine at 800 or 1000 mg/m2 in the period between September 2002 and July 2004 were recruited for this study. However, four patients were excluded from the final model built in this study because they showed bimodal concentration-time curves. Two patients who experienced gemcitabine-derived life-threatening toxicities in October 2006 and January 2008 were added to this analysis. One of these patients received 30-minute intravenous infusions of gemcitabine at 454 mg/m2 instead of the usual dose (1000 mg/m2). Plasma concentrations of gemcitabine and dFdU were measured by high-performance liquid chromatography-photodiode array/mass spectrometry. In total, 1973 and 1975 plasma concentrations of gemcitabine and dFdU, respectively, were used to build population pharmacokinetic models using nonlinear mixed-effects modelling software (NONMEM version V level 1.1). RESULTS AND DISCUSSION: Two-compartment models fitted well to plasma concentration-time curves for both gemcitabine and dFdU. Major contributing factors for gemcitabine clearance were genetic polymorphisms of CDA, including homozygous CDA*3 [208G>A (Ala70Thr)] (64% decrease), heterozygous *3 (17% decrease) and CDA -31delC (an approximate 7% increase per deletion), which has a strong association with CDA*2 [79A>C (Lys27Gln)], and coadministered S-1, an oral, multicomponent anti-cancer drug mixture consisting of tegafur, gimeracil and oteracil (an approximate 19% increase). The estimated contribution of homozygous CDA*3 to gemcitabine clearance provides an explanation for the life-threatening severe adverse reactions, including grade 4 neutropenia observed in three Japanese patients with homozygous CDA*3. Genetic polymorphisms of DCK and SLC29A1 (hENT1) had no significant correlation with gemcitabine pharmacokinetic parameters. Aging and increased serum creatinine levels correlated with decreased dFdU clearance.
CONCLUSION: A population pharmacokinetic model that included CDA genotypes as a covariate for gemcitabine and dFdU in Japanese cancer patients was successfully constructed. The model confirms the clinical importance of the CDA*3 genotype.

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Year:  2010        PMID: 20608756     DOI: 10.2165/11532970-000000000-00000

Source DB:  PubMed          Journal:  Clin Pharmacokinet        ISSN: 0312-5963            Impact factor:   6.447


  27 in total

Review 1.  Gemcitabine. A review of its pharmacology and clinical potential in non-small cell lung cancer and pancreatic cancer.

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Journal:  Drugs       Date:  1997-09       Impact factor: 9.546

2.  Severe non-haematological toxicity after treatment with gemcitabine.

Authors:  A Sauer-Heilborn; R Kath; C P Schneider; K Höffken
Journal:  J Cancer Res Clin Oncol       Date:  1999-11       Impact factor: 4.553

3.  Unexpected severe myelotoxicity of gemcitabine in pretreated breast cancer patients.

Authors:  G J Locker; C Wenzel; M Schmidinger; M F Gnant; C Marosi; R Jakesz; C C Zielinski; G G Steger
Journal:  Anticancer Drugs       Date:  2001-03       Impact factor: 2.248

4.  Thirty novel genetic variations in the SLC29A1 gene encoding human equilibrative nucleoside transporter 1 (hENT1).

Authors:  Su-Ryang Kim; Yoshiro Saito; Keiko Maekawa; Emiko Sugiyama; Nahoko Kaniwa; Hideki Ueno; Takuji Okusaka; Chigusa Morizane; Noboru Yamamoto; Masafumi Ikeda; Teruhiko Yoshida; Hironobu Minami; Junji Furuse; Hiroshi Ishii; Nagahiro Saijo; Naoyuki Kamatani; Shogo Ozawa; Jun-ichi Sawada
Journal:  Drug Metab Pharmacokinet       Date:  2006-06       Impact factor: 3.614

5.  Retrospective analysis of adverse drug reactions induced by gemcitabine treatment in patients with non-small cell lung cancer.

Authors:  L Gallelli; M Nardi; T Prantera; S Barbera; M Raffaele; D Arminio; D Pirritano; M Colosimo; R Maselli; G Pelaia; P De Gregorio; G B De Sarro
Journal:  Pharmacol Res       Date:  2004-03       Impact factor: 7.658

6.  Population pharmacokinetics of gemcitabine and its metabolite in patients with cancer: effect of oxaliplatin and infusion rate.

Authors:  Xuemin Jiang; Peter Galettis; Matthew Links; Paul L Mitchell; Andrew J McLachlan
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Authors:  Wei Kong; Karen Engel; Joanne Wang
Journal:  Curr Drug Metab       Date:  2004-02       Impact factor: 3.731

8.  Functional nucleoside transporters are required for gemcitabine influx and manifestation of toxicity in cancer cell lines.

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Journal:  Cancer Res       Date:  1998-10-01       Impact factor: 12.701

9.  Pharmacokinetics of gemcitabine in a patient with end-stage renal disease: effective clearance of its main metabolite by standard hemodialysis treatment.

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Journal:  Cancer Chemother Pharmacol       Date:  2003-03-04       Impact factor: 3.333

10.  A phase I clinical, plasma, and cellular pharmacology study of gemcitabine.

Authors:  J L Abbruzzese; R Grunewald; E A Weeks; D Gravel; T Adams; B Nowak; S Mineishi; P Tarassoff; W Satterlee; M N Raber
Journal:  J Clin Oncol       Date:  1991-03       Impact factor: 44.544

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  18 in total

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Review 2.  Covariate pharmacokinetic model building in oncology and its potential clinical relevance.

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Journal:  AAPS J       Date:  2012-01-25       Impact factor: 4.009

Review 3.  The Emerging Role of Cytidine Deaminase in Human Diseases: A New Opportunity for Therapy?

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Review 4.  Overcoming nucleoside analog chemoresistance of pancreatic cancer: a therapeutic challenge.

Authors:  Sau Wai Hung; Hardik R Mody; Rajgopal Govindarajan
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5.  Physiologically-based pharmacokinetic and pharmacodynamic models for gemcitabine and birinapant in pancreatic cancer xenografts.

Authors:  Xu Zhu; Sheryl Trueman; Robert M Straubinger; William J Jusko
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6.  A meta-analysis of gemcitabine biomarkers in patients with pancreaticobiliary cancers.

Authors:  Christina H Wei; Tristan R Gorgan; David A Elashoff; O Joe Hines; James J Farrell; Timothy R Donahue
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7.  Chemotherapy-induced toxicity is highly heritable in Drosophila melanogaster.

Authors:  Galina Kislukhin; Maura L Murphy; Mahtab Jafari; Anthony D Long
Journal:  Pharmacogenet Genomics       Date:  2012-04       Impact factor: 2.089

Review 8.  Integrating pharmacogenetics into gemcitabine dosing--time for a change?

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Journal:  Nat Rev Clin Oncol       Date:  2011-02-08       Impact factor: 66.675

9.  Determinants of the interindividual variability in serum cytidine deaminase activity of patients with solid tumours.

Authors:  R Cohen; L H Preta; V Joste; E Curis; O Huillard; A Jouinot; C Narjoz; A Thomas-Schoemann; A Bellesoeur; M Tiako Meyo; J Quilichini; D Desaulle; I Nicolis; A Cessot; M Vidal; F Goldwasser; J Alexandre; B Blanchet
Journal:  Br J Clin Pharmacol       Date:  2019-01-30       Impact factor: 4.335

10.  Predicting Chemotherapy-Induced Neutropenia and Granulocyte Colony-Stimulating Factor Response Using Model-Based In Vitro to Clinical Translation.

Authors:  Wenbo Chen; Britton Boras; Tae Sung; Wenyue Hu; Mary E Spilker; David Z D'Argenio
Journal:  AAPS J       Date:  2020-11-06       Impact factor: 4.009

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