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Lucas CJ, Martin JH. Pharmacokinetic-Guided Dosing of New Oral Cancer Agents. J Clin Pharmacol 2017; 57 Suppl 10:S78-S98. [DOI: 10.1002/jcph.937] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Accepted: 04/10/2017] [Indexed: 12/12/2022]
Affiliation(s)
- Catherine J. Lucas
- Discipline of Clinical Pharmacology, School of Medicine and Public Health; University of Newcastle; New South Wales Australia
| | - Jennifer H. Martin
- Discipline of Clinical Pharmacology, School of Medicine and Public Health; University of Newcastle; New South Wales Australia
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Janssen A, Verkleij CPM, van der Vlist A, Mathijssen RHJ, Bloemendal HJ, Ter Heine R. Towards better dose individualisation: metabolic phenotyping to predict cabazitaxel pharmacokinetics in men with prostate cancer. Br J Cancer 2017; 116:1312-1317. [PMID: 28399110 PMCID: PMC5482735 DOI: 10.1038/bjc.2017.91] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Accepted: 03/15/2017] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Cabazitaxel is approved for treatment of castration-resistant metastatic prostate cancer. The current dosing strategy of cabazitaxel is based on body surface area (BSA). Body surface area is known as a poor predictor for total systemic exposure to drugs, since it does not take into account variability in activity of metabolising enzymes, necessary for clearance of drugs. As exposure to cabazitaxel is related to treatment response, it is essential to develop a better individualised dosing strategy. METHODS Ten patients with metastatic castration-resistant prostate cancer, who received cabazitaxel dosed on BSA as a part of routine palliative care, were enrolled in this study. Midazolam was administered as phenotyping probe for cytochrome P450 isoenzyme 3A (CYP3A). The relationship between midazolam and cabazitaxel clearance was investigated using non-linear mixed effects modelling. RESULTS The clearance of Midazolam highly correlated with cabazitaxel clearance (R=0.74). Midazolam clearance significantly (P<0.004) explained the majority (∼60%) of the inter-individual variability in cabazitaxel clearance in the studied population. CONCLUSIONS Metabolic phenotyping of CYP3A using midazolam is a promising strategy to individualise cabazitaxel dosing. Before clinical application, a randomised study is warranted.
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Affiliation(s)
- A Janssen
- Laboratory of Translational Immunology, University Medical Center, Utrecht 3584 CX, The Netherlands
| | - C P M Verkleij
- Department of Internal Medicine, St Antonius Hospital, Nieuwegein 3435 CM, The Netherlands
| | - A van der Vlist
- Department of Pulmonology, Jeroen Bosch Hospital, Den Bosch 5223 GZ, The Netherlands
| | - R H J Mathijssen
- Department of Medical Oncology, Erasmus Medical Center, Rotterdam 3075 EA, The Netherlands
| | - H J Bloemendal
- Department of Internal Medicine, Meander Medical Center, Amersfoort 3813 TZ, The Netherlands.,Department of Medical Oncology, University Medical Center Utrecht, Utrecht 3584 CX, The Netherlands
| | - R Ter Heine
- Department of Pharmacy, Radboud UMC, Nijmegen 6525 GA, The Netherlands
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Maher HM, Alzoman NZ, Shehata SM, Abahussain AO. Comparative pharmacokinetic profiles of selected irreversible tyrosine kinase inhibitors, neratinib and pelitinib, with apigenin in rat plasma by UPLC–MS/MS. J Pharm Biomed Anal 2017; 137:258-267. [DOI: 10.1016/j.jpba.2017.01.039] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2016] [Revised: 01/18/2017] [Accepted: 01/19/2017] [Indexed: 11/28/2022]
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Herviou P, Thivat E, Richard D, Roche L, Dohou J, Pouget M, Eschalier A, Durando X, Authier N. Therapeutic drug monitoring and tyrosine kinase inhibitors. Oncol Lett 2016; 12:1223-1232. [PMID: 27446421 DOI: 10.3892/ol.2016.4780] [Citation(s) in RCA: 58] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2015] [Accepted: 04/25/2016] [Indexed: 01/18/2023] Open
Abstract
The therapeutic activity of drugs can be optimized by establishing an individualized dosage, based on the measurement of the drug concentration in the serum, particularly if the drugs are characterized by an inter-individual variation in pharmacokinetics that results in an under- or overexposure to treatment. In recent years, several tyrosine kinase inhibitors (TKIs) have been developed to block intracellular signaling pathways in tumor cells. These oral drugs are candidates for therapeutic drug monitoring (TDM) due to their high inter-individual variability for therapeutic and toxic effects. Following a literature search on PubMed, studies on TKIs and their pharmacokinetic characteristics, plasma quantification and inter-individual variability was studied. TDM is commonly used in various medical fields, including cardiology and psychiatry, but is not often applied in oncology. Plasma concentration monitoring has been thoroughly studied for imatinib, in order to evaluate the usefulness of TDM. The measurement of plasma concentration can be performed by various analytical techniques, with liquid chromatography-mass spectrometry being the reference method. This method is currently used to monitor the efficacy and tolerability of imatinib treatments. Although TDM is already being used for imatinib, additional studies are required in order to improve this practice with the inclusion of other TKIs.
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Affiliation(s)
- Pauline Herviou
- Department of Pharmacology, CHU Clermont-Ferrand, Clermont-Ferrand F-63003, France; INSERM U 1107, Neuro-Dol, Clermont-Ferrand F-63000, France; Centre Jean Perrin, Clermont-Ferrand F-63011, France
| | - Emilie Thivat
- Centre Jean Perrin, Clermont-Ferrand F-63011, France; ERTICa EA 4677, Research Team on Individualized Treatment of Cancers in Auvergne, Auvergne University and Centre Jean Perrin, Clermont-Ferrand F-63011, France; INSERM UMR 990, Auvergne University, Clermont-Ferrand F-63000, France
| | - Damien Richard
- Department of Pharmacology, CHU Clermont-Ferrand, Clermont-Ferrand F-63003, France; INSERM U 1107, Neuro-Dol, Clermont-Ferrand F-63000, France
| | - Lucie Roche
- Department of Pharmacology, CHU Clermont-Ferrand, Clermont-Ferrand F-63003, France; INSERM U 1107, Neuro-Dol, Clermont-Ferrand F-63000, France
| | - Joyce Dohou
- Centre Jean Perrin, Clermont-Ferrand F-63011, France; ERTICa EA 4677, Research Team on Individualized Treatment of Cancers in Auvergne, Auvergne University and Centre Jean Perrin, Clermont-Ferrand F-63011, France; INSERM UMR 990, Auvergne University, Clermont-Ferrand F-63000, France
| | - Mélanie Pouget
- Centre Jean Perrin, Clermont-Ferrand F-63011, France; INSERM UMR 990, Auvergne University, Clermont-Ferrand F-63000, France; Clinical Investigation Center, INSERM U 501, Auvergne University, Clermont-Ferrand F-63000, France
| | - Alain Eschalier
- Department of Pharmacology, CHU Clermont-Ferrand, Clermont-Ferrand F-63003, France; INSERM U 1107, Neuro-Dol, Clermont-Ferrand F-63000, France; Department of Fundamental and Clinical Pharmacology of Pain, Auvergne University, Clermont-Ferrand F-63000, France
| | - Xavier Durando
- Centre Jean Perrin, Clermont-Ferrand F-63011, France; INSERM UMR 990, Auvergne University, Clermont-Ferrand F-63000, France; CREaT EA 3846, Cancer Resistance Exploring and Targeting, Auvergne University and Centre Jean Perrin, Clermont-Ferrand F-63011, France
| | - Nicolas Authier
- Department of Pharmacology, CHU Clermont-Ferrand, Clermont-Ferrand F-63003, France; INSERM U 1107, Neuro-Dol, Clermont-Ferrand F-63000, France; Department of Fundamental and Clinical Pharmacology of Pain, Auvergne University, Clermont-Ferrand F-63000, France
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de Wit D, Gelderblom H, Sparreboom A, den Hartigh J, den Hollander M, König-Quartel JMC, Hessing T, Guchelaar HJ, van Erp NP. Midazolam as a phenotyping probe to predict sunitinib exposure in patients with cancer. Cancer Chemother Pharmacol 2013; 73:87-96. [DOI: 10.1007/s00280-013-2322-7] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Accepted: 10/09/2013] [Indexed: 12/28/2022]
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Abstract
Breath tests (BTs) have been investigated as diagnostic tools to phenotype drug disposition in cancer patients in the pursuit to individualize drug treatment. The choice of the right phenotype probe is crucial and depends on the metabolic pathway of the anticancer agent of interest. BTs using orally or intravenously administered selective non-radioactive (13)C-labeled probes to non-invasively evaluate dihydropyrimidine dehydrogenase, cytochrome P450 (CYP) 3A4, and CYP2D6 enzyme activity have been published. Clinically, a (13)C-dextromethorphan BT to predict endoxifen levels in breast cancer patients and a (13)C-uracil BT to predict fluoropyrimidine toxicity in colorectal cancer patients are most promising. However, the clinical benefit and cost effectiveness of these phenotype BTs need to be determined in order to make the transition from an experimental setting to clinical practice as companion diagnostic tests.
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Lancaster CS, Bruun GH, Peer CJ, Mikkelsen TS, Corydon TJ, Gibson AA, Hu S, Orwick SJ, Mathijssen RHJ, Figg WD, Baker SD, Sparreboom A. OATP1B1 polymorphism as a determinant of erythromycin disposition. Clin Pharmacol Ther 2012; 92:642-50. [PMID: 22990751 DOI: 10.1038/clpt.2012.106] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Previous studies have demonstrated that the pharmacokinetic profile of erythromycin, a probe for CYP3A4 activity, is affected by inhibitors or inducers of hepatic solute carriers. We hypothesized that these interactions are mediated by OATP1B1 (gene symbol, SLCO1B1), a polypeptide expressed on the basolateral surface of hepatocytes. Using stably transfected Flp-In T-Rex293 cells, erythromycin was found to be a substrate for OATP1B1*1A (wild type) with a Michaelis-Menten constant of ~13 µmol/l, and that its transport was reduced by ~50% in cells expressing OATP1B1*5 (V174A). Deficiency of the ortholog transporter Oatp1b2 in mice was associated with a 52% decrease in the metabolic rate of erythromycin (P = 0.000043). In line with these observations, in humans the c.521T>C variant in SLCO1B1 (rs4149056), encoding OATP1B1*5, was associated with a decline in erythromycin metabolism (P = 0.0072). These results suggest that impairment of OATP1B1 function can alter erythromycin metabolism, independent of changes in CYP3A4 activity.
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Affiliation(s)
- C S Lancaster
- Department of Pharmaceutical Sciences, St Jude Children's Research Hospital, Memphis, Tennessee, USA
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