ABSTRACT
BACKGROUND AND OBJECTIVE: Trough abiraterone concentration (ABI Cmin) of 8.4 ng/mL has been identified as an appropriate efficacy threshold in patients treated for metastatic castration-resistant prostate cancer (mCRPC). The aim of the phase II OPTIMABI study was to evaluate the efficacy of pharmacokinetics (PK)-guided dose escalation of abiraterone acetate (AA) in underexposed patients with mCRPC with early tumour progression. METHODS: This multicentre, non-randomised study consisted of two sequential steps. In step 1, all patients started treatment with 1000 mg of AA once daily. Abiraterone Cmin was measured 22-26 h after the last dose intake each month during the first 12 weeks of treatment. In step 2, underexposed patients (Cmin < 8.4 ng/mL) with tumour progression within the first 6 months of treatment were enrolled and received AA 1000 mg twice daily. The primary endpoint was the rate of non-progression at 12 weeks after the dose doubling. During step 1, adherence to ABI treatment was assessed using the Girerd self-reported questionnaire. A post-hoc analysis of pharmacokinetic (PK) data was conducted using Bayesian estimation of Cmin from samples collected outside the sampling guidelines (22-26 h). RESULTS: In the intention-to-treat analysis (ITT), 81 patients were included in step 1. In all, 21 (26%) patients were underexposed in step 1, and 8 of them (38%) experienced tumour progression within the first 6 months. A total of 71 patients (88%) completed the Girerd self-reported questionnaire. Of the patients, 62% had a score of 0, and 38% had a score of 1 or 2 (minimal compliance failure), without a significant difference in mean ABI Cmin in the two groups. Four patients were enrolled in step 2, and all reached the exposure target (Cmin > 8.4 ng/mL) after doubling the dose, but none met the primary endpoint. In the post-hoc analysis of PK data, 32 patients (39%) were underexposed, and ABI Cmin was independently associated with worse progression-free survival [hazard ratio (HR) 2.50, 95% confidence interval (CI) 1.07-5.81; p = 0.03], in contrast to the ITT analysis. CONCLUSION: The ITT and per-protocol analyses showed no statistical association between ABI underexposure and an increased risk of early tumour progression in patients with mCRPC, while the Bayesian estimator showed an association. However, other strategies than dose escalation at the time of progression need to be evaluated. Treatment adherence appeared to be uniformly good in the present study. Finally, the use of a Bayesian approach to recover samples collected outside the predefined blood collection time window could benefit the conduct of clinical trials based on drug monitoring. OPTIMABI trial is registered as National Clinical Trial number NCT03458247, with the EudraCT number 2017-000560-15).
Subject(s)
Prostatic Neoplasms, Castration-Resistant , Humans , Male , Prostatic Neoplasms, Castration-Resistant/drug therapy , Prostatic Neoplasms, Castration-Resistant/blood , Prostatic Neoplasms, Castration-Resistant/pathology , Aged , Middle Aged , Aged, 80 and over , Disease Progression , Dose-Response Relationship, Drug , Androstenes/administration & dosage , Androstenes/pharmacokinetics , Androstenes/therapeutic use , Abiraterone Acetate/administration & dosage , Abiraterone Acetate/pharmacokinetics , Abiraterone Acetate/therapeutic use , Antineoplastic Agents/pharmacokinetics , Antineoplastic Agents/administration & dosage , Antineoplastic Agents/therapeutic use , Antineoplastic Agents/blood , Neoplasm MetastasisABSTRACT
OBJECTIVES: Data about hydroxychloroquine (HCQ) levels during pregnancy are sparse. We assessed HCQ whole blood levels at first trimester of pregnancy as a potential predictor of maternal and obstetric/fetal outcomes in patients with systemic lupus erythematosus (SLE). METHODS: We included pregnant SLE patients enrolled in the prospective GR2 study receiving HCQ, with at least one available first-trimester whole-blood HCQ assay. We evaluated several cut-offs for HCQ whole blood levels, including ≤200 ng/ml for severe non-adherence. Primary outcomes were maternal flares during the second and third trimesters of pregnancy, and adverse pregnancy outcomes (APOs: fetal/neonatal death, placental insufficiency with preterm delivery, and small-for-gestational-age neonates). RESULTS: We included 174 patients (median age: 32.1 years, IQR 28.8-35.2). Thirty (17.2%) patients had flares, 4 (2.3%) being severe. APOs occurred in 28 patients (16.1%). There were no significant differences in APOs by HCQ level for either those with subtherapeutic HCQ levels (≤500 ng/ml vs >500 ng/ml: 23.5% vs 14.3%, p = 0.19) or those with non-adherent HCQ levels (≤200 ng/ml vs >200 ng/ml: 20.0% vs 15.7%, p = 0.71). Similarly, the overall rate of maternal flares did not differ significantly by HCQ level cut-off, but patients with subtherapeutic (HCQ ≤500 ng/ml: 8.8% vs 0.7%, p = 0.02) and non-adherent HCQ levels (≤200 ng/ml: 13.3% vs 1.3%, p = 0.04) had significantly more severe flares. CONCLUSION: In this large prospective study of pregnant SLE patients, first-trimester subtherapeutic (≤500 ng/ml) and severe non-adherent (≤200 ng/ml) HCQ levels were associated with severe maternal flares, but not with APOs. TRIAL REGISTRATION: ClinicalTrials.gov, NCT02450396.
ABSTRACT
Background: Olaparib is an inhibitor of the human poly-(ADP-ribose)-polymerase enzymes (PARP1/2) needed to repair single-strand DNA breaks. It is used in breast, ovarian, prostate and pancreatic cancer. Objectives: This work aimed to describe the pharmacokinetics/pharmacodynamics (PK/PD) relationship between olaparib plasma concentrations and common adverse effects (i.e. anaemia and hypercreatininaemia), in a real-life setting, to propose a target concentration for therapeutic drug monitoring. Methods: Two PK/PD models describing the evolution of haemoglobinaemia and creatininaemia as a function of time were developed, based on data from, respectively, 38 and 37 patients receiving olaparib. The final model estimates were used to calculate the incidence of anaemia and creatinine increase according to plasma trough concentrations for 1000 virtual subjects to define target exposure. Results: The final models correctly described the temporal evolution of haemoglobinaemia and creatininaemia for all patients. The haemoglobinaemia PK/PD model is inspired by Friberg's model, and the creatininaemia PK/PD model is an indirect response model. Model parameters were in agreement with physiological values and close to literature values for similar models. The mean (population) plasma haemoglobin concentration at treatment initiation, as estimated by the model, was 11.62 g/dL, while creatinine concentration was 71.91 µmol/L. Using simulations, we have identified a target trough concentration of 3500-4000 ng/mL, above which more than 20% of patients would report grade ≥3 anaemia. Conclusion: Based on real-world data, we were able to properly describe the time course of haemoglobinaemia and plasma creatininaemia during olaparib treatment.
ABSTRACT
BACKGROUND: Reducing nivolumab dose intensity could increase patients' life quality and decrease the financial burden while maintaining efficacy. The aims of this study were to develop a population PK model of nivolumab based on data from unselected metastatic cancer patients and to simulate extended-interval regimens allowing to maintain minimal effective plasma concentrations (MEPC). METHODS: Concentration-time data (992 plasma nivolumab concentrations, 364 patients) were modeled using a two-compartment model with linear elimination clearance in Monolix software. Extended-interval regimens allowing to maintain steady-state trough concentrations (Cmin,ss) above the MEPC of 2.5 mg/L or 1.5 mg/L in >90% of patients were simulated. RESULTS: Increasing 3-times the dosing interval from 240 mg every two weeks (Q2W) to Q6W and 2-times from 480 mg Q4W to Q8W resulted in Cmin,ss above 2.5 mg/L in 95.8% and 95.4% of patients, respectively. 240 mg Q8W and 480 mg Q10W resulted in Cmin,ss above 1.5 mg/L in 91.0% and 91.8% of patients, respectively. Selection of a 240 mg Q6W regimen would decrease by 3-fold the annual treatment costs compared to standard regimen of 240 mg Q2W (from 78,744 to 26,248 in France). CONCLUSIONS: Clinical trials are warranted to confirm the non-inferiority of extended-interval compared to standard regimen.
Subject(s)
Drug Administration Schedule , Neoplasms , Nivolumab , Humans , Nivolumab/administration & dosage , Nivolumab/pharmacokinetics , Neoplasms/drug therapy , Neoplasms/pathology , Female , Male , Aged , Middle Aged , Computer Simulation , Antineoplastic Agents, Immunological/administration & dosage , Antineoplastic Agents, Immunological/pharmacokinetics , Adult , Aged, 80 and over , Immune Checkpoint Inhibitors/administration & dosage , Immune Checkpoint Inhibitors/pharmacokinetics , Models, BiologicalABSTRACT
BACKGROUND: Interindividual pharmacokinetic variability may influence the clinical benefit or toxicity of cabozantinib in metastatic renal cell carcinoma (mRCC). We aimed to investigate the exposure-toxicity and exposure-response relationship of cabozantinib in unselected mRCC patients treated in routine care. METHODS: This ambispective multicenter study enrolled consecutive patients receiving cabozantinib in monotherapy. Steady-state trough concentration (Cmin,ss) within the first 3 months after treatment initiation was used for the PK/PD analysis with dose-limiting toxicity (DLT) and survival outcomes. Logistic regression and Cox proportional-hazards models were used to identify the risk factors of DLT and inefficacy in patients, respectively. RESULTS: Seventy-eight mRCC patients were eligible for the statistical analysis. Fifty-two patients (67%) experienced DLT with a median onset of 2.1 months (95%CI 0.7-8.2). In multivariate analysis, Cmin,ss was identified as an independent risk factor of DLT (OR 1.46, 95%CI [1.04-2.04]; p = 0.029). PFS and OS were not statistically associated with the starting dose (p = 0.81 and p = 0.98, respectively). In the multivariate analysis of PFS, Cmin, ss > 336 ng/mL resulted in a hazard ratio of 0.28 (95%CI, 0.10-0.77, p = 0.014). By contrast, Cmin, ss > 336 ng/mL was not statistically associated with longer OS. CONCLUSION: Early plasma drug monitoring may be useful to optimise cabozantinib treatment in mRCC patients treated in monotherapy, especially in frail patients starting at a lower than standard dose.
Subject(s)
Carcinoma, Renal Cell , Kidney Neoplasms , Humans , Carcinoma, Renal Cell/pathology , Kidney Neoplasms/pathology , Anilides/adverse effects , Pyridines/adverse effects , Retrospective StudiesABSTRACT
BACKGROUND: Improving pigs' ability to digest diets with an increased dietary fiber content is a lever to improve feed efficiency and limit feed costs in pig production. The aim of this study was to determine whether information on the gut microbiota and host genetics can contribute to predict digestive efficiency (DE, i.e. digestibility coefficients of energy, organic matter, and nitrogen), feed efficiency (FE, i.e. feed conversion ratio and residual feed intake), average daily gain, and daily feed intake phenotypes. Data were available for 1082 pigs fed a conventional or high-fiber diet. Fecal samples were collected at 16 weeks, and DE was estimated using nearinfrared spectrometry. A cross-validation approach was used to predict traits within the same diet, for the opposite diet, and for a combination of both diets, by implementing three models, i.e. with only genomic (Gen), only microbiota (Micro), and both genomic and microbiota information (Micro+Gen). The predictive ability with and without sharing common sires and breeding environment was also evaluated. Prediction accuracy of the phenotypes was calculated as the correlation between model prediction and phenotype adjusted for fixed effects. RESULTS: Prediction accuracies of the three models were low to moderate (< 0.47) for growth and FE traits and not significantly different between models. In contrast, for DE traits, prediction accuracies of model Gen were low (< 0.30) and those of models Micro and Micro+Gen were moderate to high (> 0.52). Prediction accuracies were not affected by the stratification of diets in the reference and validation sets and were in the same order of magnitude within the same diet, for the opposite diet, and for the combination of both diets. Prediction accuracies of the three models were significantly higher when pigs in the reference and validation populations shared common sires and breeding environment than when they did not (P < 0.001). CONCLUSIONS: The microbiota is a relevant source of information to predict DE regardless of the diet, but not to predict growth and FE traits for which prediction accuracies were similar to those obtained with genomic information only. Further analyses on larger datasets and more diverse diets should be carried out to complement and consolidate these results.
Subject(s)
Diet , Microbiota , Animals , Swine , Diet/veterinary , Eating/genetics , Phenotype , Genome , Animal Feed/analysisABSTRACT
Objective To develop a simple method of determination of sorafenib in serum by reversed-phase high performance liquid chromatography (RP-HPLC) and to explore its application in sorafenib therapeutic drug monitoring (TDM).Methods Sorafenib extracted by ethyl ether-petroleum (9∶1) with internal standard of erlotinib from serum was wiped off in 60 ℃ water bath.Sorafenib was redissolved by mobile buffer and analyzed by 40 μl.Chromatographic column was Symmetry Rp18 (5 μm,4.6 mm×250 mm,waters) column in normal temperature.The mobile buffer was 28 mmol/L acetate buffer (pH 5.8)-acetonitrile (37∶63).Sorafenib and erlotinib were detected in 249 nm and 335 nm,respectively.Results The concentration range of sorafenib was 0.50-20.00 μg/ml (r =0.9999).The within-day and between-day accuracies of sorafenib were less than 4.77 % and 8.79 %,respectively.The average recovery rate was 98.48 %.Sorafenib was stable in serum or after extraction.The concentrations of sorafenib in two patients were detected.Conclusion Detection of sorafenib in serum by RP-HPLC is simple and accurate,which is available to determine sorafenib in serum.The TDM of sorafenib has clinical significance.