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Background In the present study, the authors aimed to compare the pharmacokinetics (PK) of micafungin in critically ill patients receiving continuous veno-venous hemofiltration (CVVH, 30 mL/kg/h) with those of patients receiving equidoses of hemodiafiltration (CVVHDF, 15 mL/kg/h + 15 mL/kg/h) and determine the optimal dosing regimen using the developed model. Methods Patients with septic shock undergoing continuous renal replacement therapy (CRRT) and receiving a conventional dose of 100 mg micafungin once daily were eligible for inclusion. Total micafungin plasma concentrations from eight CVVH sessions and eight CVVHDF sessions were subjected to a population PK analysis using Pmetrics. Validation of the model performance was reinforced by external validation. Monte Carlo simulations were performed considering the total ratio of free drug area under the curve (AUC) over 24 h to the minimum inhibitory concentration (MIC) (AUC0-24/MIC) in plasma. Results The median total body weight (min-max) was 94.8 (66-138) kg. Micafungin concentrations were best described by a two-compartmental PK model. No covariates, including CRRT modality (CVVH or CVVHDF), were retained in the final model. The mean parameter estimates (standard deviation) were 0.96 (0.32) L/h for clearance and 14.8 (5.3) L for the central compartment volume. External validation confirmed the performance of the developed PK model. Dosing simulations did not support the use of standard 100 mg daily dosing, except for Candida albicans on the second day of therapy. A loading dose of 150 mg followed by 100 mg daily reached the probability of target attainment for all C. albicans and C. glabrata, but not for C. krusei and C. parapsilosis. Conclusions No difference was observed in micafungin PK between equidoses of CVVH and CVVHDF. A loading dose of 150 mg is required to achieve the PK/PD target for less susceptible Candida species from the first day of therapy.

OBJECTIVES To describe micafungin pharmacokinetic (PK) alterations of sepsis induced in piglets and to determine whether the porcine septic model is able to predict the PK of micafungin in septic patients at the plasma and peritoneal sites. METHODS From healthy (n = 8) and septic piglet group (n = 16), total micafungin concentrations were subject to a population PK analysis using Monolix®. Data from 16 septic humans patients from others studies was used to compare micafungin PK between septic piglets and septic patients. RESULTS Sepsis induced in piglets slightly alters the total clearance and the volume of distribution, while inter-compartment clearance is increased (from 3.88 to 5.74 L/h) as well as the penetration into peritoneal cavity (from 61 to 90%). In septic human patients, PK parameters are similar except for the Vd, which is corrected by an allometric factor based on the body weight of each species. Micafungin penetration into peritoneal cavity of humans is lower than in septic piglets (40 versus 90%). CONCLUSIONS The sepsis induced in the porcine model alters the PK of micafungin comparable to that in humans. In addition, micafungin PK is similar between these two species at the plasma level taking into account the allometric relationship of the body weight of these species on the central volume of distribution. The porcine septic plasma model would be able to predict the micafungin PK in the septic patients. However, further studies on peritoneal penetration are necessary to characterize this inter-species difference.

International audience; PurposeThe aim of the present study was to characterize the pharmacokinetics of irinotecan and its four main metabolites (SN-38, SN-38G, APC and NPC) in metastatic colorectal cancer patients treated with FOLFIRI and FOLFIRINOX regimens and to quantify and explain the inter-individual pharmacokinetic variability in this context.MethodsA multicenter study including 109 metastatic colorectal cancer patients treated with FOLFIRI or FOLFIRINOX regimen, associated or not with a monoclonal antibody, was conducted. Concentrations of irinotecan and its four main metabolites were measured in 506 blood samples during the first cycle of treatment. Collected data were analyzed using the population approach. First, fixed and random effects models were selected using statistical and graphical methods; second, the impact of covariates on pharmacokinetic parameters was evaluated to explain the inter-individual variability in pharmacokinetic parameters.ResultsA seven-compartment model best described the pharmacokinetics of irinotecan and its four main metabolites. First-order rates were assigned to distribution, elimination, and metabolism processes, except for the transformation of irinotecan to NPC which was nonlinear. Addition of a direct conversion of NPC into SN-38 significantly improved the model. Co-administration of oxaliplatin significantly modified the distribution of SN-38.ConclusionTo our knowledge, the present model is the first to allow a simultaneous description of irinotecan pharmacokinetics and of its four main metabolites. Moreover, a direct conversion of NPC into SN-38 had never been described before in a population pharmacokinetic model of irinotecan. The model will be useful to develop pharmacokinetic-pharmacodynamic models relating SN-38 concentrations to efficacy and digestive toxicities.

What is known and objective Sunitinib pharmacokinetics can be influenced by the physio-pathological conditions of individual patients. Therapeutic drug monitoring (TDM) helps to optimize efficacy and reduce the risk of adverse effects. We report on the use of Bayesian analysis to optimize sunitinib blood levels. Case summary We describe two patients with risk of sunitinib pharmacokinetic variability due to gastrectomy and ongoing haemodialysis, respectively. TDM and Bayesian estimation allowed maintaining their sunitinib pharmacokinetic profiles within the usual limits. What is new and conclusion Our analysis showed that Bayesian analysis can be successfully applied for real-time TDM to optimize sunitinib blood levels in patients with major comorbidities.

International audience; A 53-year-old woman with papillary thyroid cancer treated with 800 mg sorafenib therapy rapidly experienced grade 3 toxicities. Dosing was reduced in a step-wise manner with several treatment discontinuations down to 200 mg every 2 days but severe toxicities continued. Plasma drug monitoring showed high exposure, even at low dose. Dosing was then further reduced at 200 mg every 3 days and tolerance was finally acceptable (i.e., grade 1 toxicity) with stable disease upon RECIST imaging. Pharmacogenetic investigations showed polymorphisms affecting both UGT1A9 ( UGT1A9-rs3832043) and nuclear receptor PXR ( NR1I2-rs3814055 , NR1I2-rs2472677 and NR1I2-rs10934498), possibly resulting in downregulation of liver metabolizing enzymes of sorafenib (i.e., CYP and UGT). Patient's clearance (0.48 l/h) estimated by Bayesian approach was consistently lower than usually described. This is the first time that, in addition to mutations affecting UGT1A9, genetic polymorphisms of NR1I2 have possibly been associated with both plasma overexposure and severe toxicities upon sorafenib intake.

International audience; NR1I2 (PXR) and NR1I3 (CAR) are nuclear receptors that are classified as xenoreceptors. Upon activation by various xenobiotics, including marketed drugs, they regulate the transcription level of major drug-metabolizing enzymes and transporters and facilitate the elimination of xenobiotics from the body. The modulation of the activity of these two xenoreceptors by various ligands is a major source of pharmacokinetic variability of environmental origin. NR1I2 and NR1I3 genetic polymorphisms can affect the pharmacokinetics and therapeutic response to many drugs, such as irinotecan, tacrolimus and atazanavir. This review provides an overview of NR1I2 and NR1I3 pharmacogenetic studies in various therapeutic fields (oncology, immunomodulation and infectiology) and discusses the implementation of NR1I2 and NR1I3 genetic polymorphism testing in the clinical routine.

International audience; PURPOSE:Temsirolimus is a mammalian target of rapamycin (mTOR) inhibitor that exhibits antitumor activity in renal cell carcinoma and mantle cell lymphoma. The metabolism of temsirolimus and its active metabolite sirolimus mainly depends on cytochrome P450 3A4/5 (CYP3A4/A5) and the ABCB1 transporter. Differently from sirolimus, no pharmacogenetic study on temsirolimus has been conducted. Therefore, the aim of this pilot study was to identify genetic determinants of the inter-individual variability in temsirolimus pharmacokinetics and toxicity.METHODS:Pharmacokinetic profiles were obtained for 16 patients with bladder cancer after intravenous infusion of 25 mg temsirolimus. Non-compartmental analysis was performed to calculate the pharmacokinetic parameters of temsirolimus and sirolimus, its main metabolite. The presence of single nucleotide polymorphisms (SNPs) in CYP3A5, ABCB1 and in their transcriptional regulator NR1I2 (PXR) was assessed by genotyping. Non-parametric statistical tests were used to assess associations between candidate SNPs and temsirolimus pharmacokinetics and toxicity.RESULTS:The ratio between sirolimus AUC and temsirolimus AUC was 1.6-fold higher in patients who experienced serious toxic events (p = 0.034). The frequency of adverse events was significantly higher in patients homozygous for the NR1I2-rs6785049 A allele (OR = 0.065, p = 0.04) or NR1I2-rs3814055 C allele (OR = 0.032, p = 0.006). These NR1I2 SNPs were also predictive of temsirolimus half-life and global exposure to temsirolimus and sirolimus. Finally, the effect of the ABCB1-rs1128503, ABCB1-rs2032582 and CYP3A5*3 SNPs on sirolimus pharmacokinetics was confirmed.CONCLUSIONS:Our findings suggest that SNPs of NR1I2 and its target genes CYP3A5 and ABCB1 are genetic determinants of temsirolimus pharmacokinetics and toxicity in patients with bladder cancer.

International audience; BACKGROUND AND OBJECTIVES:Nuclear receptors PXR (pregnane X receptor, NR1I2) and CAR (constitutive androstane receptor, NR1I3) are key regulators of irinotecan metabolism, and ligand-dependent modulation of their activity leads to significant drug-drug interactions. Because genetic polymorphisms can also affect the activity of these xenobiotic-sensing receptors, we hypothesized that they could contribute to the interpatient variability of irinotecan pharmacokinetics and to the toxicity of irinotecan-based regimens.PATIENTS AND METHODS:In a cohort of 109 metastatic colorectal cancer patients treated with irinotecan (180 mg/m(2)) in combination with other drugs, associations were assessed between 21 selected single nucleotide polymorphisms of NR1I2 or NR1I3 and pharmacokinetic parameters or toxicity of irinotecan and its metabolites.RESULTS:After adjustment of the tests by the UGT1A1*28 genotype and correction for multiple testing, the A allele of NR1I2-rs10934498 was associated with a decreased exposition and an increased degradation of SN-38, the active metabolite (p = 0.009 and p = 0.017, respectively). The risk of hematological toxicity was associated with NR1I2-rs10934498 and NR1I2-rs2472677 (p = 0.009 and p = 0.003, respectively).CONCLUSION:Our results reveal for the first time the involvement of NR1I2 in the pharmacogenetics of irinotecan and suggest that it may help to predict the toxicity of low-dose irinotecan.

Aim: The goal of our study was to assess the impact of patients’ genetic background on their sensitivity to carboplatin/paclitaxel hematotoxicity. Patients & methods: Parameters describing sensitivity to neutropenia and to thrombocytopenia of 201 patients were extracted from a previous pharmacokinetic/pharmacodynamics analysis, in order to assess their association with 52 candidates SNPs in 18 genes. Results: Carriers of a T allele of SLCO1B3-rs4149117 were 19% less sensitive to thrombocytopenia than the homozygotes for the G allele (p = 0.00279). Carriers of two copies of the ATG haplotypes of NR1I2-rs1523130, rs3814055 and rs1523127 were 19% less sensitive to thrombocytopenia than those harboring other haplotypes (p = 0.025). Conclusion: Our results revealed the importance of SLCO1B3 and NR1I2 in the sensitivity to carboplatin/paclitaxel thrombocytopenia.

Pharmacogenetics has progressively become a major concern in personalized medicine. The development of modern technologies in genetic testing and cost-effectiveness have rendered genotyping strategies easy to perform comparing to time-consuming phenotyping methods. In oncology, canonical markers such TPMT, DPYD or UGT1A1 are routinely included in clinical practice but their use is still controversial partly because of insufficient genotype to phenotype correlation. The next challenge is to accurately translate genotype-phenotype correlations into clinically useful diagnostics, and clinically useful leads concerning new therapeutic targets. Besides, recent studies have focused on emerging genetic variants of ADME genes such cytidine deaminase (CDA) or pregnane X receptor (PXR) that could be of interest for predicting anticancer drug response or toxicity. The candidate gene approach "metabolism guided" now evolves towards more global strategies thanks to genome resequencing projects such HapMap that have considerably increased our knowledge of genetics variations in humans. Multiplexed genotyping methods make possible the set-up of panels of candidate or tag SNPs for subsequent haplotypic analysis. Last, genome-wide association studies (GWAS) are feasible when large cohort of patients is available to identify new loci associated with drug response or adverse drug reactions or to definitively confirm the role of candidate genetic variations.

From the promising results we previously obtained in quinazoline series and to complete the evaluation of the in vitro antiplasmodial activity of original 2-trichloromethylquinazolines, we synthesized new quinazolines possessing a variously substituted phenoxy group at position 4 through a simple and efficient two-step-synthesis approach. The studies of their activity toward the multi-resistant W2 Plasmodium falciparum strain and of their cytotoxicity on the human hepatocyte HepG2 cell line highlighted a hit compound (molecule 7) displaying a W2 IC(50) value of 1.1 μM and a HepG2 CC(50) value of 50 μM, comparable to chloroquine and doxycycline. Structure-activity- and toxicity relationships indicate that the trichloromethyl group plays a key role in the antiplasmodial activity of such chemical scaffold and also that the phenoxy group substitution as a direct influence on the molecules selectivity. Moreover, molecule 7 displays significant specific activity against the Plasmodium genus in comparison with Toxoplasma and does not show any mutagenic property at the Ames test.