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Paludetto M, Puisset F, Chatelut E, Arellano C. Identifying the reactive metabolites of tyrosine kinase inhibitors in a comprehensive approach: Implications for drug‐drug interactions and hepatotoxicity. Med Res Rev 2019; 39:2105-2152. [DOI: 10.1002/med.21577] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Revised: 02/06/2019] [Accepted: 03/08/2019] [Indexed: 02/06/2023]
Affiliation(s)
- Marie‐Noëlle Paludetto
- Centre de Recherches en Cancérologie de Toulouse, INSERMUMR1037Université de Toulouse Toulouse Cedex 1 France
- Faculté de PharmacieUniversité Paul Sabatier Toulouse France
- Département PharmacieInstitut Claudius Regaud, IUCT‐O Toulouse France
| | - Florent Puisset
- Centre de Recherches en Cancérologie de Toulouse, INSERMUMR1037Université de Toulouse Toulouse Cedex 1 France
- Faculté de PharmacieUniversité Paul Sabatier Toulouse France
- Département PharmacieInstitut Claudius Regaud, IUCT‐O Toulouse France
| | - Etienne Chatelut
- Centre de Recherches en Cancérologie de Toulouse, INSERMUMR1037Université de Toulouse Toulouse Cedex 1 France
- Faculté de PharmacieUniversité Paul Sabatier Toulouse France
| | - Cécile Arellano
- Centre de Recherches en Cancérologie de Toulouse, INSERMUMR1037Université de Toulouse Toulouse Cedex 1 France
- Faculté de PharmacieUniversité Paul Sabatier Toulouse France
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2
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Yu F, Zhang T, Guo L, Wu B. Liver Receptor Homolog-1 Regulates Organic Anion Transporter 2 and Docetaxel Pharmacokinetics. Drug Metab Dispos 2018; 46:980-988. [PMID: 29669824 DOI: 10.1124/dmd.118.080895] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 04/09/2018] [Indexed: 01/15/2023] Open
Abstract
Organic anion transporter 2 (OAT2/SLC22A7) is an uptake transporter that plays an important role in drug disposition. Here, we investigate a potential role of liver receptor homolog-1 (Lrh-1) in regulation of Oat2 and docetaxel pharmacokinetics. Hepatoma cells (Hepa1-6 and HepG2 cells) were transfected with Lrh-1/LRH-1 expression vector or siRNA. The relative mRNA and protein levels of Oat2/OAT2 in the cells or livers of Lrh-1hep-/- mice were determined by qPCR and Western blotting, respectively. Transcriptional regulation of Oat2/OAT2 by Lrh-1/LRH-1 was investigated using luciferase reporter, mobility shift, and chromatin immunoprecipitation (ChIP) assays. Pharmacokinetic studies were performed with wild-type (Lrh-1fl/fl) and Lrh-1hep-/- mice after intraperitoneal injection of docetaxel. Overexpression of Lrh-1 in Hepa1-6 cells led to significant increases in Oat2 mRNA and protein. Consistently, Lrh-1 knockdown caused decreases in Oat2 mRNA and protein, as well as reduced cellular uptake of PGE2, a prototypical substrate of Oat2. Similarly, an activation effect of LRH-1 on OAT2 expression was observed in HepG2 cells. In addition, the levels of Oat2 mRNA and protein were markedly reduced in Lrh-1hep-/- mice. Lrh-1/LRH-1 induced the transcription of Oat2/OAT2 in luciferase reporter assays. Truncation analysis revealed a potential Lrh-1 response element (-716- to -702-bp) in Oat2 promoter. Direct binding of Lrh-1 to this response element was confirmed by mobility shift and ChIP assays. Furthermore, systemic exposure of docetaxel was upregulated in Lrh-1hep-/- mice due to reduced hepatic uptake. In conclusion, Lrh-1 transcriptionally regulates Oat2, thereby impacting tissue uptake and pharmacokinetics of Oat2 substrates.
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MESH Headings
- Animals
- Cell Line
- Cell Line, Tumor
- Dinoprostone/genetics
- Dinoprostone/metabolism
- Docetaxel
- Gene Expression Regulation/genetics
- HEK293 Cells
- Hep G2 Cells
- Humans
- Liver/metabolism
- Male
- Mice
- Mice, Inbred C57BL
- Organic Anion Transporters, Sodium-Independent/genetics
- Organic Anion Transporters, Sodium-Independent/metabolism
- Promoter Regions, Genetic/genetics
- RNA, Messenger/genetics
- RNA, Messenger/metabolism
- Receptors, Cytoplasmic and Nuclear/genetics
- Receptors, Cytoplasmic and Nuclear/metabolism
- Response Elements/genetics
- Taxoids/pharmacokinetics
- Transcription, Genetic/genetics
- Transcriptional Activation/genetics
- Up-Regulation/genetics
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Affiliation(s)
- Fangjun Yu
- Research Center for Biopharmaceutics and Pharmacokinetics, College of Pharmacy (F.Y., T.Z., L.G., B.W.) and Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research (F.Y., B.W.), Jinan University, Guangzhou, China
| | - Tianpeng Zhang
- Research Center for Biopharmaceutics and Pharmacokinetics, College of Pharmacy (F.Y., T.Z., L.G., B.W.) and Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research (F.Y., B.W.), Jinan University, Guangzhou, China
| | - Lianxia Guo
- Research Center for Biopharmaceutics and Pharmacokinetics, College of Pharmacy (F.Y., T.Z., L.G., B.W.) and Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research (F.Y., B.W.), Jinan University, Guangzhou, China
| | - Baojian Wu
- Research Center for Biopharmaceutics and Pharmacokinetics, College of Pharmacy (F.Y., T.Z., L.G., B.W.) and Guangdong Province Key Laboratory of Pharmacodynamic Constituents of Traditional Chinese Medicine and New Drugs Research (F.Y., B.W.), Jinan University, Guangzhou, China
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3
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Paller CJ, Bradbury PA, Ivy SP, Seymour L, LoRusso PM, Baker L, Rubinstein L, Huang E, Collyar D, Groshen S, Reeves S, Ellis LM, Sargent DJ, Rosner GL, LeBlanc ML, Ratain MJ. Design of phase I combination trials: recommendations of the Clinical Trial Design Task Force of the NCI Investigational Drug Steering Committee. Clin Cancer Res 2015; 20:4210-7. [PMID: 25125258 DOI: 10.1158/1078-0432.ccr-14-0521] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Anticancer drugs are combined in an effort to treat a heterogeneous tumor or to maximize the pharmacodynamic effect. The development of combination regimens, while desirable, poses unique challenges. These include the selection of agents for combination therapy that may lead to improved efficacy while maintaining acceptable toxicity, the design of clinical trials that provide informative results for individual agents and combinations, and logistic and regulatory challenges. The phase I trial is often the initial step in the clinical evaluation of a combination regimen. In view of the importance of combination regimens and the challenges associated with developing them, the Clinical Trial Design (CTD) Task Force of the National Cancer Institute Investigational Drug Steering Committee developed a set of recommendations for the phase I development of a combination regimen. The first two recommendations focus on the scientific rationale and development plans for the combination regimen; subsequent recommendations encompass clinical design aspects. The CTD Task Force recommends that selection of the proposed regimens be based on a biologic or pharmacologic rationale supported by clinical and/or robust and validated preclinical evidence, and accompanied by a plan for subsequent development of the combination. The design of the phase I clinical trial should take into consideration the potential pharmacokinetic and pharmacodynamic interactions as well as overlapping toxicity. Depending on the specific hypothesized interaction, the primary endpoint may be dose optimization, pharmacokinetics, and/or pharmacodynamics (i.e., biomarker).
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Affiliation(s)
- Channing J Paller
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Hospital, Baltimore
| | | | - S Percy Ivy
- National Cancer Institute, Bethesda, Maryland
| | - Lesley Seymour
- NCIC Clinical Trials Group, Queen's University, Kingston, Ontario, Canada
| | | | | | | | - Erich Huang
- National Cancer Institute, Bethesda, Maryland
| | | | - Susan Groshen
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | | | - Lee M Ellis
- University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Gary L Rosner
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Hospital, Baltimore
| | - Michael L LeBlanc
- Fred Hutchinson Cancer Research Center, Cancer Research and Biostatistics, Seattle, Washington
| | - Mark J Ratain
- The University of Chicago, Department of Medicine, Chicago, Illinois; and
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4
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de Graan AJM, Sparreboom A, de Bruijn P, de Jonge E, van der Holt B, Wiemer EAC, Verweij J, Mathijssen RHJ, van Schaik RHN. 4β-hydroxycholesterol as an endogenous CYP3A marker in cancer patients treated with taxanes. Br J Clin Pharmacol 2015; 80:560-8. [PMID: 26119961 DOI: 10.1111/bcp.12707] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2015] [Revised: 06/20/2015] [Accepted: 06/24/2015] [Indexed: 12/22/2022] Open
Abstract
AIM Taxanes are anti-cancer agents used to treat several types of solid tumours. They are metabolized by cytochrome P450 (CYP) 3A, displaying a large pharmacokinetic (PK) variability. In this study, we evaluated the endogenous CYP3A4 marker 4β-hydroxycholesterol (4β-OHC) as a potential individual taxane PK predictor. METHODS Serum 4β-OHC and cholesterol concentrations were determined in 291 paclitaxel and 151 docetaxel-treated patients, and were subsequently correlated with taxane clearance. RESULTS In the patients treated with paclitaxel, no clinically relevant correlations between the 4β-OHC or 4β-OHC : cholesterol ratio and paclitaxel clearance were found. In the patients treated with docetaxel, 4β-OHC concentration was weakly correlated with docetaxel clearance in males (r = 0.35 P = 0.01, 95% CI 0.08, 0.58). Of the 10% patients with taxane outlier clearance values, 4β-OHC did correlate with docetaxel clearance in males (r = 0.76, P = 0.03, 95% CI 0.12, 0.95). CONCLUSION There was no clinical correlation between paclitaxel clearance and the CYP3A4 activity markers 4β-OHC or the 4β-OHC : cholesterol ratio. A weak correlation was observed between 4β-OHC and docetaxel clearance, but only in males. This endogenous CYP3A4 marker has limited predictive value for taxane clearance in patients.
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Affiliation(s)
- Anne-Joy M de Graan
- Department of Medical Oncology, Erasmus MC Cancer Institute, 's-Gravendijkwal 230, 3015CE, Rotterdam
| | - Alex Sparreboom
- Department of Medical Oncology, Erasmus MC Cancer Institute, 's-Gravendijkwal 230, 3015CE, Rotterdam.,Department of Pharmaceutical Sciences, St Jude Children's Research Hospital, 262 Danny Thomas Place, 38105-3678, Memphis, TN, USA
| | - Peter de Bruijn
- Department of Medical Oncology, Erasmus MC Cancer Institute, 's-Gravendijkwal 230, 3015CE, Rotterdam
| | - Evert de Jonge
- Department of Clinical Chemistry, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015CE, Rotterdam, the Netherlands
| | - Bronno van der Holt
- Department of Trials and Statistics, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015CE, Rotterdam, the Netherlands
| | - Erik A C Wiemer
- Department of Medical Oncology, Erasmus MC Cancer Institute, 's-Gravendijkwal 230, 3015CE, Rotterdam
| | - Jaap Verweij
- Department of Medical Oncology, Erasmus MC Cancer Institute, 's-Gravendijkwal 230, 3015CE, Rotterdam
| | - Ron H J Mathijssen
- Department of Medical Oncology, Erasmus MC Cancer Institute, 's-Gravendijkwal 230, 3015CE, Rotterdam
| | - Ron H N van Schaik
- Department of Clinical Chemistry, Erasmus University Medical Center, 's-Gravendijkwal 230, 3015CE, Rotterdam, the Netherlands
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5
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Nieuweboer AJM, de Morrée ES, de Graan AJM, Sparreboom A, de Wit R, Mathijssen RHJ. Inter-patient variability in docetaxel pharmacokinetics: A review. Cancer Treat Rev 2015; 41:605-13. [PMID: 25980322 DOI: 10.1016/j.ctrv.2015.04.012] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2015] [Revised: 04/26/2015] [Accepted: 04/28/2015] [Indexed: 11/17/2022]
Abstract
Docetaxel is a frequently used chemotherapeutic agent in the treatment of solid cancers. Because of the large inter-individual variability (IIV) in the pharmacokinetics (PK) of docetaxel, it is challenging to determine the optimal dose in individual patients in order to achieve optimal efficacy and acceptable toxicity. Despite the established correlation between systemic docetaxel exposure and efficacy, the precise factors influencing docetaxel PK are not yet completely understood. This review article highlights currently known factors that influence docetaxel PK, and focusses on those that are clinically relevant. For example, liver impairment should be taken into account when calculating docetaxel dosages as this may decrease docetaxel clearance. In addition, drug-drug interactions may be of distinct clinical importance when using docetaxel. Particularly, drugs strongly inhibiting CYP3A4 such as ketoconazole should not be concurrently administered without dose modification, as they may decrease the clearance of docetaxel. Gender, castration status, and menopausal status might be of importance as potential factors influencing docetaxel PK. The role of pharmacogenetics in predicting docetaxel PK is still limited, since no polymorphisms of clinical importance have yet been established.
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Affiliation(s)
| | - Ellen S de Morrée
- Department of Urology, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Anne-Joy M de Graan
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Alex Sparreboom
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands; Department of Pharmaceutical Sciences, St Jude Children's Research Hospital, Memphis, TN, United States
| | - Ronald de Wit
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | - Ron H J Mathijssen
- Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
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6
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Shao J, Markowitz JS, Bei D, An G. Enzyme-Transporter-Mediated Drug Interactions with Small Molecule Tyrosine Kinase Inhibitors. J Pharm Sci 2014; 103:3810-3833. [DOI: 10.1002/jps.24113] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2014] [Revised: 07/11/2014] [Accepted: 07/14/2014] [Indexed: 12/19/2022]
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7
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Fackler MJ, Lopez Bujanda Z, Umbricht C, Teo WW, Cho S, Zhang Z, Visvanathan K, Jeter S, Argani P, Wang C, Lyman JP, de Brot M, Ingle JN, Boughey J, McGuire K, King TA, Carey LA, Cope L, Wolff AC, Sukumar S. Novel methylated biomarkers and a robust assay to detect circulating tumor DNA in metastatic breast cancer. Cancer Res 2014; 74:2160-70. [PMID: 24737128 DOI: 10.1158/0008-5472.can-13-3392] [Citation(s) in RCA: 117] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The ability to consistently detect cell-free tumor-specific DNA in peripheral blood of patients with metastatic breast cancer provides the opportunity to detect changes in tumor burden and to monitor response to treatment. We developed cMethDNA, a quantitative multiplexed methylation-specific PCR assay for a panel of ten genes, consisting of novel and known breast cancer hypermethylated markers identified by mining our previously reported study of DNA methylation patterns in breast tissue (103 cancer, 21 normal on the Illumina HumanMethylation27 Beadchip) and then validating the 10-gene panel in The Cancer Genome Atlas project breast cancer methylome database. For cMethDNA, a fixed physiologic level (50 copies) of artificially constructed, standard nonhuman reference DNA specific for each gene is introduced in a constant volume of serum (300 μL) before purification of the DNA, facilitating a sensitive, specific, robust, and quantitative assay of tumor DNA, with broad dynamic range. Cancer-specific methylated DNA was detected in training (28 normal, 24 cancer) and test (27 normal, 33 cancer) sets of recurrent stage IV patient sera with a sensitivity of 91% and a specificity of 96% in the test set. In a pilot study, cMethDNA assay faithfully reflected patient response to chemotherapy (N = 29). A core methylation signature present in the primary breast cancer was retained in serum and metastatic tissues collected at autopsy two to 11 years after diagnosis of the disease. Together, our data suggest that the cMethDNA assay can detect advanced breast cancer, and monitor tumor burden and treatment response in women with metastatic breast cancer.
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Affiliation(s)
- Mary Jo Fackler
- Authors' Affiliations: Departments of Oncology, Surgery, and Surgical Pathology, Johns Hopkins University School of Medicine; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore Maryland; Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, New York; Departments of Oncology and Surgery, Mayo Clinic, Rochester, Minnesota; Department of Surgical Oncology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania; and Department of Medicine, University of North Carolina, Chapel Hill, North Carolina
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8
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Affiliation(s)
- Dominique Levêque
- Pharmacy, Hôpital Hautepierre, avenue Molière, 67000 Strasbourg, France.
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9
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Inhibition of OATP1B1 by tyrosine kinase inhibitors: in vitro-in vivo correlations. Br J Cancer 2014; 110:894-8. [PMID: 24398510 PMCID: PMC3929889 DOI: 10.1038/bjc.2013.811] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2013] [Revised: 12/04/2013] [Accepted: 12/06/2013] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND Several tyrosine kinase inhibitors (TKIs) can decrease docetaxel clearance in patients by an unknown mechanism. We hypothesised that these interactions are mediated by the hepatic uptake transporter OATP1B1. METHODS The influence of 16 approved TKIs on transport was studied in vitro using HEK293 cells expressing OATP1B1 or its mouse equivalent Oatp1b2. Pharmacokinetic studies were performed with Oatp1b2-knockout and OATP1B1-transgenic mice. RESULTS All docetaxel-interacting TKIs, including sorafenib, were identified as potent inhibitors of OATP1B1 in vitro. Although Oatp1b2 deficiency in vivo was associated with increased docetaxel exposure, single- or multiple-dose sorafenib did not influence docetaxel pharmacokinetics. CONCLUSION These findings highlight the importance of identifying proper preclinical models for verifying and predicting TKI-chemotherapy interactions involving transporters.
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10
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Krens SD, McLeod HL, Hertz DL. Pharmacogenetics, enzyme probes and therapeutic drug monitoring as potential tools for individualizing taxane therapy. Pharmacogenomics 2013; 14:555-74. [PMID: 23556452 DOI: 10.2217/pgs.13.33] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
The taxanes are a class of chemotherapeutic agents that are widely used in the treatment of various solid tumors. Although taxanes are highly effective in cancer treatment, their use is associated with serious complications attributable to large interindividual variability in pharmacokinetics and a narrow therapeutic window. Unpredictable toxicity occurrence necessitates close patient monitoring while on therapy and adverse effects frequently require decreasing, delaying or even discontinuing taxane treatment. Currently, taxane dosing is based primarily on body surface area, ignoring other factors that are known to dictate variability in pharmacokinetics or outcome. This article discusses three potential strategies for individualizing taxane treatment based on patient information that can be collected before or during care. The clinical implementation of pharmacogenetics, enzyme probes or therapeutic drug monitoring could enable clinicians to personalize taxane treatment to enhance efficacy and/or limit toxicity.
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Affiliation(s)
- Stefanie D Krens
- UNC Institute for Pharmacogenomics & Individualized Therapy, University of North Carolina at Chapel Hill, 120 Mason Farm Road, CB 7361, Chapel Hill, NC 27599, USA
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Thomas-Schoemann A, Blanchet B, Bardin C, Noé G, Boudou-Rouquette P, Vidal M, Goldwasser F. Drug interactions with solid tumour-targeted therapies. Crit Rev Oncol Hematol 2013; 89:179-96. [PMID: 24041628 DOI: 10.1016/j.critrevonc.2013.08.007] [Citation(s) in RCA: 67] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2013] [Revised: 07/11/2013] [Accepted: 08/16/2013] [Indexed: 12/20/2022] Open
Abstract
Drug interactions are an on-going concern in the treatment of cancer, especially when targeted therapies, such as tyrosine kinase inhibitors (TKI) or mammalian target of rapamycin (mTOR) inhibitors, are being used. The emergence of elderly patients and/or patients with both cancer and other chronic co-morbidities leads to polypharmacy. Therefore, the risk of drug-drug interactions (DDI) becomes a clinically relevant issue, all the more so as TKIs and mTOR inhibitors are essentially metabolised by cytochrome P450 enzymes. These DDIs can result in variability in anticancer drug exposure, thus favouring the selection of resistant cellular clones or the occurrence of toxicity. This review provides a comprehensive overview of DDIs that involve targeted therapies approved by the FDA for the treatment of solid tumours for more than 3 years (sorafenib, sunitinib, erlotinib, gefitinib, imatinib, lapatinib, everolimus, temsirolimus) and medicinal herb or drugs. This review also provides some guidelines to help oncologists and pharmacists in their clinical practice.
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Affiliation(s)
- Audrey Thomas-Schoemann
- Centre d'Étude et de Recours aux Inhibiteurs de l'Angiogénèse, Paris, France; UF de Pharmacocinétique et Pharmacochimie, Groupement des Hôpitaux Paris Centre, 75014 Paris, France.
| | - Benoit Blanchet
- Centre d'Étude et de Recours aux Inhibiteurs de l'Angiogénèse, Paris, France; UF de Pharmacocinétique et Pharmacochimie, Groupement des Hôpitaux Paris Centre, 75014 Paris, France
| | - Christophe Bardin
- UF de Pharmacocinétique et Pharmacochimie, Groupement des Hôpitaux Paris Centre, 75014 Paris, France
| | - Gaëlle Noé
- UF de Pharmacocinétique et Pharmacochimie, Groupement des Hôpitaux Paris Centre, 75014 Paris, France
| | - Pascaline Boudou-Rouquette
- Centre d'Étude et de Recours aux Inhibiteurs de l'Angiogénèse, Paris, France; Service d'Oncologie Médicale, Groupement des Hôpitaux Paris Centre, AP-HP, Paris, France
| | - Michel Vidal
- Centre d'Étude et de Recours aux Inhibiteurs de l'Angiogénèse, Paris, France; UF de Pharmacocinétique et Pharmacochimie, Groupement des Hôpitaux Paris Centre, 75014 Paris, France; UMR 8638 CNRS, UFR des Sciences Pharmaceutiques et Biologiques, Université Paris Descartes, Sorbonne Paris Cité, 75270 Paris, France
| | - François Goldwasser
- Centre d'Étude et de Recours aux Inhibiteurs de l'Angiogénèse, Paris, France; Service d'Oncologie Médicale, Groupement des Hôpitaux Paris Centre, AP-HP, Paris, France
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12
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Cortes J, Roché H. Docetaxel combined with targeted therapies in metastatic breast cancer. Cancer Treat Rev 2012; 38:387-96. [DOI: 10.1016/j.ctrv.2011.08.001] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2011] [Revised: 07/29/2011] [Accepted: 08/01/2011] [Indexed: 10/17/2022]
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13
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Filppula AM, Laitila J, Neuvonen PJ, Backman JT. Potent mechanism-based inhibition of CYP3A4 by imatinib explains its liability to interact with CYP3A4 substrates. Br J Pharmacol 2012; 165:2787-98. [PMID: 22014153 DOI: 10.1111/j.1476-5381.2011.01732.x] [Citation(s) in RCA: 62] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND AND PURPOSE Imatinib, a cytochrome P450 2C8 (CYP2C8) and CYP3A4 substrate, markedly increases plasma concentrations of the CYP3A4/5 substrate simvastatin and reduces hepatic CYP3A4/5 activity in humans. Because competitive inhibition of CYP3A4/5 does not explain these in vivo interactions, we investigated the reversible and time-dependent inhibitory effects of imatinib and its main metabolite N-desmethylimatinib on CYP2C8 and CYP3A4/5 in vitro. EXPERIMENTAL APPROACH Amodiaquine N-deethylation and midazolam 1'-hydroxylation were used as marker reactions for CYP2C8 and CYP3A4/5 activity. Direct, IC(50) -shift, and time-dependent inhibition were assessed with human liver microsomes. KEY RESULTS Inhibition of CYP3A4 activity by imatinib was pre-incubation time-, concentration- and NADPH-dependent, and the time-dependent inactivation variables K(I) and k(inact) were 14.3 µM and 0.072 in(-1) respectively. In direct inhibition experiments, imatinib and N-desmethylimatinib inhibited amodiaquine N-deethylation with a K(i) of 8.4 and 12.8 µM, respectively, and midazolam 1'-hydroxylation with a K(i) of 23.3 and 18.1 µM respectively. The time-dependent inhibition effect of imatinib was predicted to cause up to 90% inhibition of hepatic CYP3A4 activity with clinically relevant imatinib concentrations, whereas the direct inhibition was predicted to be negligible in vivo. CONCLUSIONS AND IMPLICATIONS Imatinib is a potent mechanism-based inhibitor of CYP3A4 in vitro and this finding explains the imatinib-simvastatin interaction and suggests that imatinib could markedly increase plasma concentrations of other CYP3A4 substrates. Our results also suggest a possibility of autoinhibition of CYP3A4-mediated imatinib metabolism leading to a less significant role for CYP3A4 in imatinib biotransformation in vivo than previously proposed.
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Affiliation(s)
- A M Filppula
- Department of Clinical Pharmacology, University of Helsinki, Helsinki, Finland
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14
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Orr STM, Ripp SL, Ballard TE, Henderson JL, Scott DO, Obach RS, Sun H, Kalgutkar AS. Mechanism-based inactivation (MBI) of cytochrome P450 enzymes: structure-activity relationships and discovery strategies to mitigate drug-drug interaction risks. J Med Chem 2012; 55:4896-933. [PMID: 22409598 DOI: 10.1021/jm300065h] [Citation(s) in RCA: 160] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Suvi T M Orr
- Worldwide Medicinal Chemistry, Pfizer Global Research and Development, Eastern Point Road, Groton, Connecticut 06340, United States
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15
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Di Gion P, Kanefendt F, Lindauer A, Scheffler M, Doroshyenko O, Fuhr U, Wolf J, Jaehde U. Clinical Pharmacokinetics of Tyrosine Kinase Inhibitors. Clin Pharmacokinet 2011; 50:551-603. [DOI: 10.2165/11593320-000000000-00000] [Citation(s) in RCA: 144] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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