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Erschienen in: Clinical Pharmacokinetics 3/2014

01.03.2014 | Original Research Article

Predictive Value of CYP3A and ABCB1 Phenotyping Probes for the Pharmacokinetics of Sunitinib: the ClearSun Study

verfasst von: 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

Erschienen in: Clinical Pharmacokinetics | Ausgabe 3/2014

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Abstract

Background and Objective

The wide inter-patient variability in drug exposure partly explains the toxicity and efficacy profile of sunitinib treatment. In this prospective study cytochrome P450 (CYP) 3A and adenosine triphosphate binding cassette (ABC) B1 phenotypes were correlated to the pharmacokinetics of sunitinib and its active metabolite N-desethylsunitinib.

Methods

A correlation analysis was performed between sunitinib pharmacokinetics and 1′OH-midazolam/midazolam ratio and parameters derived from technetium-99m-2-methoxy isobutyl isonitrile (99mTc-MIBI) scans, respectively. A population pharmacokinetic model using non-linear mixed-effects modeling software NONMEM was built, which included the phenotype tests as covariate.

Results

In 52 patients, the mean trough concentration of sunitinib plus metabolite increased from 21.4 ng/mL at day 1 of a cycle to 88.1 ng/mL in the fourth week of treatment. A trend for a correlation was observed between 99mTc-MIBI elimination constant and trough concentrations of N-desethylsunitinib; however, this was not significant. Correlations were found between 1′OH-midazolam/midazolam ratio and sunitinib clearance (P = 0.008) and day 1 N-desethylsunitinib trough concentrations (P = 0.005), respectively. Moreover, patients suffering from grade 3 toxicities had significant lower clearance of sunitinib than patients without grade 3 toxicities (34.4 vs. 41.4 L/h; P = 0.025).

Conclusions

Phenotype tests for ABCB1 and CYP3A4 did not explain inter-individual variability of sunitinib exposure sufficiently. However, the correlation between sunitinib clearance and the occurrence of severe toxicity suggests a direct exposure–toxicity relationship.
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Literatur
1.
Zurück zum Zitat Motzer RJ, Hutson TE, Tomczak P, et al. Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Engl J Med. 2007;356:115–24.CrossRef Motzer RJ, Hutson TE, Tomczak P, et al. Sunitinib versus interferon alfa in metastatic renal-cell carcinoma. N Engl J Med. 2007;356:115–24.CrossRef
2.
Zurück zum Zitat Demetri GD, van Oosterom AT, Garrett CR, et al. Efficacy and safety of sunitinib in patients with advanced gastrointestinal stromal tumour after failure of imatinib: a randomised controlled trial. Lancet. 2006;368:1329–38.CrossRef Demetri GD, van Oosterom AT, Garrett CR, et al. Efficacy and safety of sunitinib in patients with advanced gastrointestinal stromal tumour after failure of imatinib: a randomised controlled trial. Lancet. 2006;368:1329–38.CrossRef
3.
Zurück zum Zitat Faivre S, Demetri G, Sargent W, Raymond E. Molecular basis for sunitinib efficacy and future clinical development. Nat Rev Drug Discov. 2007;6:734–45.CrossRef Faivre S, Demetri G, Sargent W, Raymond E. Molecular basis for sunitinib efficacy and future clinical development. Nat Rev Drug Discov. 2007;6:734–45.CrossRef
4.
Zurück zum Zitat Raymond E, Dahan L, Raoul JL, et al. Sunitinib malate for the treatment of pancreatic neuroendocrine tumors. N Engl J Med. 2011;364:501–13.CrossRef Raymond E, Dahan L, Raoul JL, et al. Sunitinib malate for the treatment of pancreatic neuroendocrine tumors. N Engl J Med. 2011;364:501–13.CrossRef
5.
Zurück zum Zitat Faivre S, Delbaldo C, Vera K, et al. Safety, pharmacokinetic, and antitumor activity of SU11248, a novel oral multitarget tyrosine kinase inhibitor, in patients with cancer. J Clin Oncol. 2006;24:25–35.CrossRef Faivre S, Delbaldo C, Vera K, et al. Safety, pharmacokinetic, and antitumor activity of SU11248, a novel oral multitarget tyrosine kinase inhibitor, in patients with cancer. J Clin Oncol. 2006;24:25–35.CrossRef
6.
Zurück zum Zitat Mathijssen RH, van Schaik RH. Genotyping and phenotyping cytochrome P450: perspectives for cancer treatment. Eur J Cancer. 2006;42:141–8.CrossRef Mathijssen RH, van Schaik RH. Genotyping and phenotyping cytochrome P450: perspectives for cancer treatment. Eur J Cancer. 2006;42:141–8.CrossRef
7.
Zurück zum Zitat Mathijssen RH, Loos WJ, Verweij J. Determining the best dose for the individual patient. J Clin Oncol. 2011;29:4345–6.CrossRef Mathijssen RH, Loos WJ, Verweij J. Determining the best dose for the individual patient. J Clin Oncol. 2011;29:4345–6.CrossRef
8.
Zurück zum Zitat Goh BC, Lee SC, Wang LZ, et al. Explaining interindividual variability of docetaxel pharmacokinetics and pharmacodynamics in Asians through phenotyping and genotyping strategies. J Clin Oncol. 2002;20:3683–90.CrossRef Goh BC, Lee SC, Wang LZ, et al. Explaining interindividual variability of docetaxel pharmacokinetics and pharmacodynamics in Asians through phenotyping and genotyping strategies. J Clin Oncol. 2002;20:3683–90.CrossRef
9.
Zurück zum Zitat Mathijssen RH, de Jong FA, van Schaik RH, et al. Prediction of irinotecan pharmacokinetics by use of cytochrome P450 3A4 phenotyping probes. J Natl Cancer Inst. 2004;96:1585–92.CrossRef Mathijssen RH, de Jong FA, van Schaik RH, et al. Prediction of irinotecan pharmacokinetics by use of cytochrome P450 3A4 phenotyping probes. J Natl Cancer Inst. 2004;96:1585–92.CrossRef
10.
Zurück zum Zitat Eap CB, Buclin T, Cucchia G, et al. Oral administration of a low dose of midazolam (75 microg) as an in vivo probe for CYP3A activity. Eur J Clin Pharmacol. 2004;60:237–46.PubMed Eap CB, Buclin T, Cucchia G, et al. Oral administration of a low dose of midazolam (75 microg) as an in vivo probe for CYP3A activity. Eur J Clin Pharmacol. 2004;60:237–46.PubMed
11.
Zurück zum Zitat Wong M, Balleine RL, Collins M, Liddle C, Clarke CL, Gurney H. CYP3A5 genotype and midazolam clearance in Australian patients receiving chemotherapy. Clin Pharmacol Ther. 2004;75:529–38.CrossRef Wong M, Balleine RL, Collins M, Liddle C, Clarke CL, Gurney H. CYP3A5 genotype and midazolam clearance in Australian patients receiving chemotherapy. Clin Pharmacol Ther. 2004;75:529–38.CrossRef
12.
Zurück zum Zitat Agrawal M, Abraham J, Balis FM, et al. Increased 99mTc-sestamibi accumulation in normal liver and drug-resistant tumors after the administration of the glycoprotein inhibitor, XR9576. Clin Cancer Res. 2003;9:650–6.PubMed Agrawal M, Abraham J, Balis FM, et al. Increased 99mTc-sestamibi accumulation in normal liver and drug-resistant tumors after the administration of the glycoprotein inhibitor, XR9576. Clin Cancer Res. 2003;9:650–6.PubMed
13.
Zurück zum Zitat Luker GD, Fracasso PM, Dobkin J, Piwnica-Worms D. Modulation of the multidrug resistance P-glycoprotein: detection with technetium-99m-sestamibi in vivo. J Nucl Med. 1997;38:369–72.PubMed Luker GD, Fracasso PM, Dobkin J, Piwnica-Worms D. Modulation of the multidrug resistance P-glycoprotein: detection with technetium-99m-sestamibi in vivo. J Nucl Med. 1997;38:369–72.PubMed
14.
Zurück zum Zitat Wong M, Evans S, Rivory LP, et al. Hepatic technetium Tc 99m-labeled sestamibi elimination rate and ABCB1 (MDR1) genotype as indicators of ABCB1 (P-glycoprotein) activity in patients with cancer. Clin Pharmacol Ther. 2005;77:33–42.CrossRef Wong M, Evans S, Rivory LP, et al. Hepatic technetium Tc 99m-labeled sestamibi elimination rate and ABCB1 (MDR1) genotype as indicators of ABCB1 (P-glycoprotein) activity in patients with cancer. Clin Pharmacol Ther. 2005;77:33–42.CrossRef
15.
Zurück zum Zitat Wong M, Balleine RL, Blair EY, et al. Predictors of vinorelbine pharmacokinetics and pharmacodynamics in patients with cancer. J Clin Oncol. 2006;24:2448–55.CrossRef Wong M, Balleine RL, Blair EY, et al. Predictors of vinorelbine pharmacokinetics and pharmacodynamics in patients with cancer. J Clin Oncol. 2006;24:2448–55.CrossRef
16.
Zurück zum Zitat van Erp NP, Gelderblom H, Guchelaar HJ. Clinical pharmacokinetics of tyrosine kinase inhibitors. Cancer Treat Rev. 2009;35:692–706.CrossRef van Erp NP, Gelderblom H, Guchelaar HJ. Clinical pharmacokinetics of tyrosine kinase inhibitors. Cancer Treat Rev. 2009;35:692–706.CrossRef
17.
Zurück zum Zitat Shukla S, Robey RW, Bates SE, Ambudkar SV. Sunitinib (Sutent, SU11248), a small-molecule receptor tyrosine kinase inhibitor, blocks function of the ATP-binding cassette (ABC) transporters P-glycoprotein (ABCB1) and ABCG2. Drug Metab Dispos. 2009;37:359–65.CrossRef Shukla S, Robey RW, Bates SE, Ambudkar SV. Sunitinib (Sutent, SU11248), a small-molecule receptor tyrosine kinase inhibitor, blocks function of the ATP-binding cassette (ABC) transporters P-glycoprotein (ABCB1) and ABCG2. Drug Metab Dispos. 2009;37:359–65.CrossRef
18.
Zurück zum Zitat de Bruijn P, Sleijfer S, Lam MH, Mathijssen RH, Wiemer EA, Loos WJ. Bioanalytical method for the quantification of sunitinib and its n-desethyl metabolite SU12662 in human plasma by ultra performance liquid chromatography/tandem triple-quadrupole mass spectrometry. J Pharm Biomed Anal. 2010;51:934–41.CrossRef de Bruijn P, Sleijfer S, Lam MH, Mathijssen RH, Wiemer EA, Loos WJ. Bioanalytical method for the quantification of sunitinib and its n-desethyl metabolite SU12662 in human plasma by ultra performance liquid chromatography/tandem triple-quadrupole mass spectrometry. J Pharm Biomed Anal. 2010;51:934–41.CrossRef
19.
Zurück zum Zitat de Loor H, de Jonge H, Verbeke K, Vanrenterghem Y, Kuypers DR. A highly sensitive liquid chromatography tandem mass spectrometry method for simultaneous quantification of midazolam, 1′-hydroxymidazolam and 4-hydroxymidazolam in human plasma. Biomed Chromatogr. 2011;25:1091–8.CrossRef de Loor H, de Jonge H, Verbeke K, Vanrenterghem Y, Kuypers DR. A highly sensitive liquid chromatography tandem mass spectrometry method for simultaneous quantification of midazolam, 1′-hydroxymidazolam and 4-hydroxymidazolam in human plasma. Biomed Chromatogr. 2011;25:1091–8.CrossRef
20.
Zurück zum Zitat Keizer RJ, van Benten M, Beijnen JH, Schellens JH, Huitema AD. Pirana and PCluster: a modeling environment and cluster infrastructure for NONMEM. Comput Methods Programs Biomed. 2011;101:72–9.CrossRef Keizer RJ, van Benten M, Beijnen JH, Schellens JH, Huitema AD. Pirana and PCluster: a modeling environment and cluster infrastructure for NONMEM. Comput Methods Programs Biomed. 2011;101:72–9.CrossRef
21.
Zurück zum Zitat Beal SL. NONMEM users guides. Ellicott City: Icon Development Solutions; 1989. Beal SL. NONMEM users guides. Ellicott City: Icon Development Solutions; 1989.
22.
Zurück zum Zitat Houk BE, Bello CL, Kang D, Amantea M. A population pharmacokinetic meta-analysis of sunitinib malate (SU11248) and its primary metabolite (SU12662) in healthy volunteers and oncology patients. Clin Cancer Res. 2009;15:2497–506.CrossRef Houk BE, Bello CL, Kang D, Amantea M. A population pharmacokinetic meta-analysis of sunitinib malate (SU11248) and its primary metabolite (SU12662) in healthy volunteers and oncology patients. Clin Cancer Res. 2009;15:2497–506.CrossRef
23.
Zurück zum Zitat Savic RM, Karlsson MO. Importance of shrinkage in empirical Bayes estimates for diagnostics: problems and solutions. AAPS J. 2009;11:558–69.CrossRef Savic RM, Karlsson MO. Importance of shrinkage in empirical Bayes estimates for diagnostics: problems and solutions. AAPS J. 2009;11:558–69.CrossRef
24.
Zurück zum Zitat Haznedar JO, Patyna S, Bello CL, et al. Single- and multiple-dose disposition kinetics of sunitinib malate, a multitargeted receptor tyrosine kinase inhibitor: comparative plasma kinetics in non-clinical species. Cancer Chemother Pharmacol. 2009;64:691–706.CrossRef Haznedar JO, Patyna S, Bello CL, et al. Single- and multiple-dose disposition kinetics of sunitinib malate, a multitargeted receptor tyrosine kinase inhibitor: comparative plasma kinetics in non-clinical species. Cancer Chemother Pharmacol. 2009;64:691–706.CrossRef
25.
Zurück zum Zitat Wang L, McLeod HL, Weinshilboum RM. Genomics and drug response. N Engl J Med. 2011;364:1144–53.CrossRef Wang L, McLeod HL, Weinshilboum RM. Genomics and drug response. N Engl J Med. 2011;364:1144–53.CrossRef
26.
Zurück zum Zitat van Erp NP, Eechoute K, van der Veldt AA, et al. Pharmacogenetic pathway analysis for determination of sunitinib-induced toxicity. J Clin Oncol. 2009;27:4406–12.CrossRef van Erp NP, Eechoute K, van der Veldt AA, et al. Pharmacogenetic pathway analysis for determination of sunitinib-induced toxicity. J Clin Oncol. 2009;27:4406–12.CrossRef
27.
Zurück zum Zitat Radzialowski FM, Bousquet WF. Daily rhythmic variation in hepatic drug metabolism in the rat and mouse. J Pharmacol Exp Ther. 1968;163:229–38.PubMed Radzialowski FM, Bousquet WF. Daily rhythmic variation in hepatic drug metabolism in the rat and mouse. J Pharmacol Exp Ther. 1968;163:229–38.PubMed
28.
Zurück zum Zitat Takiguchi T, Tomita M, Matsunaga N, Nakagawa H, Koyanagi S, Ohdo S. Molecular basis for rhythmic expression of CYP3A4 in serum-shocked HepG2 cells. Pharmacogenet Genomics. 2007;17:1047–56.CrossRef Takiguchi T, Tomita M, Matsunaga N, Nakagawa H, Koyanagi S, Ohdo S. Molecular basis for rhythmic expression of CYP3A4 in serum-shocked HepG2 cells. Pharmacogenet Genomics. 2007;17:1047–56.CrossRef
29.
Zurück zum Zitat Houk BE, Bello CL, Poland B, Rosen LS, Demetri GD, Motzer RJ. Relationship between exposure to sunitinib and efficacy and tolerability endpoints in patients with cancer: results of a pharmacokinetic/pharmacodynamic meta-analysis. Cancer Chemother Pharmacol. 2010;66:357–71.CrossRef Houk BE, Bello CL, Poland B, Rosen LS, Demetri GD, Motzer RJ. Relationship between exposure to sunitinib and efficacy and tolerability endpoints in patients with cancer: results of a pharmacokinetic/pharmacodynamic meta-analysis. Cancer Chemother Pharmacol. 2010;66:357–71.CrossRef
30.
Zurück zum Zitat Diekstra MHM, Klümpen HJ, Lolkema MPJK, et al. Association analysis of polymorphisms in genes related to sunitinib pharmacokinetics [abstract no. 4580]. ASCO Annual Meeting; 24–26 October 2013; Chicago. Diekstra MHM, Klümpen HJ, Lolkema MPJK, et al. Association analysis of polymorphisms in genes related to sunitinib pharmacokinetics [abstract no. 4580]. ASCO Annual Meeting; 24–26 October 2013; Chicago.
31.
Zurück zum Zitat Beumer JH. Without therapeutic drug monitoring, there is no personalized cancer care. Clin Pharmacol Ther. 2013;93:228–30.CrossRef Beumer JH. Without therapeutic drug monitoring, there is no personalized cancer care. Clin Pharmacol Ther. 2013;93:228–30.CrossRef
Metadaten
Titel
Predictive Value of CYP3A and ABCB1 Phenotyping Probes for the Pharmacokinetics of Sunitinib: the ClearSun Study
verfasst von
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
Publikationsdatum
01.03.2014
Verlag
Springer International Publishing
Erschienen in
Clinical Pharmacokinetics / Ausgabe 3/2014
Print ISSN: 0312-5963
Elektronische ISSN: 1179-1926
DOI
https://doi.org/10.1007/s40262-013-0111-4

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