Development of a population pharmacokinetic (PPK) model of intravenous (IV) trastuzumab in patients with a variety of solid tumors to support dosing and treatment recommendations.

2017 ◽  
Vol 35 (15_suppl) ◽  
pp. 2525-2525 ◽  
Author(s):  
Whitney Paige Kirschbrown ◽  
Angelica Linnea Quartino ◽  
Hanbin Li ◽  
Ranvir Mangat ◽  
D Russell Wada ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast ◽  
Compartment Model ◽  
Population Pharmacokinetic ◽  
Parameter Estimates ◽  
Tumor Type ◽  
Concentration Data ◽  
Two Compartment Model ◽  
Linear And Nonlinear ◽  
The Impact

2525 Background: The aim of this analysis was to develop a PPK model for IV trastuzumab (Herceptin), to assess the impact of patient covariates on PK, and perform simulations to support dosing recommendations. Methods: Serum trastuzumab concentration data (26,040 samples) from 1582 patients with metastatic breast cancer (MBC), early breast cancer (EBC), advanced gastric cancer (AGC) or other tumor types, and 6 healthy volunteers in 18 Phase I, II, and III trials were analyzed using nonlinear mixed-effects modeling (NONMEM). Monte Carlo simulations were performed using the NONMEM PK parameter estimates (with variability) to inform dosing recommendations. Results: A two-compartment model with parallel linear and nonlinear elimination best described the data. Significant covariates (P < 0.001) influencing linear CL were baseline weight, SGOT, albumin, primary tumor type, and presence of liver metastases. MBC had similar PK parameters as EBC, with lower distributions of Cmin,ss in MBC explained by covariates. The higher linear CL in AGC patients resulted in a 30.5% lower Cmin,ss. Simulations for drug washout indicated that 95% of patients with breast cancer (BC) reach trastuzumab concentrations < 1 µg/mL (~97% washout) at ≤7 months. Simulations also indicated that a missed dose of trastuzumab in BC or AGC patients of ≤1 week did not result in a long PK under-exposure (i.e. the trastuzumab concentration is within 15% of Cmin,ss by 3 weeks) but a missed dose of > 1 week took approximately 6 weeks to get back within the steady-state exposure range. Conclusions: Trastuzumab PK was well described by a two-compartment model with parallel linear and nonlinear eliminationacross cancer types, disease status, and regimens. No dose adjustment is required based on any of the identified patient covariates (e.g. weight, tumor type). Simulations using the PPK model informed the prescribing information for Herceptin; trastuzumab has a 7-month serum washout period during which patients should avoid an anthracycline-based therapy, pregnancy, or breastfeeding. A re-loading dose is required if a maintenance dose is missed by > 1 week to maintain serum concentrations.

scholarly journals Population Pharmacokinetic Analysis of Voriconazole and Anidulafungin in Adult Patients with Invasive Aspergillosis

2014 ◽  
Vol 58 (8) ◽  
pp. 4718-4726 ◽  
Author(s):  
Ping Liu ◽  
Diane R. Mould
Keyword(s):  
Invasive Aspergillosis ◽  
Area Under The Curve ◽  
Compartment Model ◽  
Population Pharmacokinetic Analysis ◽  
Institutional Review Boards ◽  
Pharmacokinetic Analysis ◽  
Population Pharmacokinetic ◽  
Parameter Estimates ◽  
First Order ◽  
Two Compartment Model

ABSTRACTTo assess the pharmacokinetics (PK) of voriconazole and anidulafungin in patients with invasive aspergillosis (IA) in comparison with other populations, sparse PK data were obtained for 305 adults from a prospective phase 3 study comparing voriconazole and anidulafungin in combination versus voriconazole monotherapy (voriconazole, 6 mg/kg intravenously [IV] every 12 h [q12h] for 24 h followed by 4 mg/kg IV q12h, switched to 300 mg orally q12h as appropriate; with placebo or anidulafungin IV, a 200-mg loading dose followed by 100 mg q24h). Voriconazole PK was described by a two-compartment model with first-order absorption and mixed linear and time-dependent nonlinear (Michaelis-Menten) elimination; anidulafungin PK was described by a two-compartment model with first-order elimination. For voriconazole, the normal inverse Wishart prior approach was implemented to stabilize the model. Compared to previous models, no new covariates were identified for voriconazole or anidulafungin. PK parameter estimates of voriconazole and anidulafungin are in agreement with those reported previously except for voriconazole clearance (the nonlinear clearance component became minimal). At a 4-mg/kg IV dose, voriconazole exposure tended to increase slightly as age, weight, or body mass index increased, but the difference was not considered clinically relevant. Estimated voriconazole exposures in IA patients at 4 mg/kg IV were higher than those reported for healthy adults (e.g., the average area under the curve over a 12-hour dosing interval [AUC0–12] at steady state was 46% higher); while it is not definitive, age and concomitant medications may impact this difference. Estimated anidulafungin exposures in IA patients were comparable to those reported for the general patient population. This study was approved by the appropriate institutional review boards or ethics committees and registered on ClinicalTrials.gov (NCT00531479).

scholarly journals Population Pharmacokinetic Analysis of Fevipiprant in Healthy Subjects and Asthma Patients using a Tukey’s g-and-h Distribution

Drug Research ◽  
2021 ◽  
Author(s):  
Xinting Wang ◽  
Christian Bartels ◽  
Swarupa Kulkarni ◽  
Ramachandra Sangana ◽  
Monish Jain ◽  
...  
Keyword(s):  
Healthy Subjects ◽  
Compartment Model ◽  
Skewed Distribution ◽  
Phase Iii ◽  
Pharmacokinetic Analysis ◽  
Population Pharmacokinetic ◽  
Concentration Data ◽  
First Order ◽  
Two Compartment Model ◽  
Asthma Patients

Abstract Aim The objective of this analysis was to characterize the population pharmacokinetics (PK) of fevipiprant in asthma patients and to evaluate the effect of baseline covariates on the PK of fevipiprant. Methods PK data from 1281 healthy subjects or asthma patients were available after single or once daily dosing of fevipiprant. Population PK analysis was conducted to describe fevipiprant plasma concentration data using a non-linear mixed effect modeling approach. Results Fevipiprant PK was described by a two-compartment model with first-order absorption and first-order elimination. Exploration of fevipiprant PK in the population from the phase III studies revealed an over-dispersed and skewed distribution. This unusual distribution was described using Tukey’s g-and-h distribution (TGH) on the between-subject variability of apparent clearance (CL/F). The model identified a significant impact of disease status on CL/F, with the value in healthy subjects being 62% higher than that in asthma patients. Bodyweight, age and renal function showed statistically significant impact on fevipiprant clearance; however, compared with a typical asthma patient, the simulated difference in steady-state exposure was at most 16%. Conclusion Fevipiprant PK was described by a two-compartment model with first-order absorption and first-order elimination. The TGH distribution was appropriate to describe the over-dispersed and skewed PK data as observed in the current studies. Asthma patients had approximately 37% higher exposure than healthy subjects did. Other covariates changed exposure by at most 16%.

scholarly journals Evaluation of Alternate Categorical Tumor Metrics and Cut Points for Response Categorization Using the RECIST 1.1 Data Warehouse

2014 ◽  
Vol 32 (8) ◽  
pp. 841-850 ◽  
Author(s):  
Sumithra J. Mandrekar ◽  
Ming-Wen An ◽  
Jeffrey Meyers ◽  
Axel Grothey ◽  
Jan Bogaerts ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Data Warehouse ◽  
Tumor Response ◽  
Metastatic Breast ◽  
Predictive Performance ◽  
Tumor Type ◽  
Validation Data ◽  
Meaningful Improvement ◽  
Cut Points ◽  
The Impact

Purpose We sought to test and validate the predictive utility of trichotomous tumor response (TriTR; complete response [CR] or partial response [PR] v stable disease [SD] v progressive disease [PD]), disease control rate (DCR; CR/PR/SD v PD), and dichotomous tumor response (DiTR; CR/PR v others) metrics using alternate cut points for PR and PD. The data warehouse assembled to guide the Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 was used. Methods Data from 13 trials (5,480 patients with metastatic breast cancer, non–small-cell lung cancer, or colorectal cancer) were randomly split (60:40) into training and validation data sets. In all, 27 pairs of cut points for PR and PD were considered: PR (10% to 50% decrease by 5% increments) and PD (10% to 20% increase by 5% increments), for which 30% and 20% correspond to the RECIST categorization. Cox proportional hazards models with landmark analyses at 12 and 24 weeks stratified by study and number of lesions (fewer than three v three or more) and adjusted for average baseline tumor size were used to assess the impact of each metric on overall survival (OS). Model discrimination was assessed by using the concordance index (c-index). Results Standard RECIST cut points demonstrated predictive ability similar to the alternate PR and PD cut points. Regardless of tumor type, the TriTR, DiTR, and DCR metrics had similar predictive performance. The 24-week metrics (albeit with higher c-index point estimate) were not meaningfully better than the 12-week metrics. None of the metrics did particularly well for breast cancer. Conclusion Alternative cut points to RECIST standards provided no meaningful improvement in OS prediction. Metrics assessed at 12 weeks have good predictive performance.

scholarly journals Population pharmacokinetic modeling of pyrotinib in patients with HER2-positive advanced or metastatic breast cancer

2020 ◽  
Author(s):  
Haini Wen ◽  
Yixi Liu ◽  
Da Xu ◽  
Kaijing Zhao ◽  
Zheng Jiao
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Total Protein ◽  
Metastatic Breast ◽  
Patient Characteristics ◽  
Population Pharmacokinetic ◽  
Phase I Clinical Trials ◽  
Her2 Positive ◽  
Protein Levels ◽  
The Impact

Objective: Pyrotinib, a novel oral irreversible dual pan-ErbB tyrosine kinase inhibitor (TKI), has been approved in China for the treatment of HER2-positive advanced or metastatic breast cancer. This study aimed to perform a population pharmacokinetics (PK) analysis of pyrotinib and to evaluate the impact of certain HER2-positive breast cancer patient characteristics on pyrotinib's PK. Method: A total of 1152 samples, provided by 59 adult female patients from two phase I clinical trials, were analyzed by nonlinear mixed-effects modeling. Monte Carlo simulation was conducted to assess the impact of covariates following exposure to pyrotinib. Results: The PK of pyrotinib was adequately described by a one-compartment model with first-order absorption and elimination. Patient's age and total protein levels can affect pyrotinib's apparent volume of distribution, and concomitant use of montmorillonite powder had significant effects on the bioavailability of pyrotinib. No PK interactions were observed between capecitabine and pyrotinib. Conclusion: In this study, a population PK model of pyrotinib was developed to determine the influence of patient characteristics on the PK of pyrotinib. While patient age and total protein levels can significantly affect the apparent distribution volume of pyrotinib, the magnitude of the impact was limited, thus no dosage adjustment was recommended. Furthermore, concomitant use of montmorillonite powder for diarrhea can decrease the bioavailability of pyrotinib by 50.3%.

scholarly journals Interspecies Mixed-Effect Pharmacokinetic Modeling of Penicillin G in Cattle and Swine

2014 ◽  
Vol 58 (8) ◽  
pp. 4495-4503 ◽  
Author(s):  
Mengjie Li ◽  
Ronette Gehring ◽  
Lisa Tell ◽  
Ronald Baynes ◽  
Qingbiao Huang ◽  
...  
Keyword(s):  
Compartment Model ◽  
Penicillin G ◽  
Population Pharmacokinetic ◽  
Parameter Estimates ◽  
Pharmacokinetic Studies ◽  
Population Parameter ◽  
Concentration Data ◽  
Mixed Effect ◽  
Animal Products ◽  
Swine Liver

ABSTRACTExtralabel drug use of penicillin G in food-producing animals may cause an excess of residues in tissue which will have the potential to damage human health. Of all the antibiotics, penicillin G may have the greatest potential for producing allergic responses to the consumer of food animal products. There are, however, no population pharmacokinetic studies of penicillin G for food animals. The objective of this study was to develop a population pharmacokinetic model to describe the time-concentration data profile of penicillin G across two species. Data were collected from previously published pharmacokinetic studies in which several formulations of penicillin G were administered to diverse populations of cattle and swine. Liver, kidney, and muscle residue data were also used in this study. Compartmental models with first-order absorption and elimination were fit to plasma and tissue concentrations using a nonlinear mixed-effect modeling approach. A 3-compartment model with extra tissue compartments was selected to describe the pharmacokinetics of penicillin G. Typical population parameter estimates (interindividual variability) were central volumes of distribution of 3.45 liters (12%) and 3.05 liters (8.8%) and central clearance of 105 liters/h (32%) and 16.9 liters/h (14%) for cattle and swine, respectively, with peripheral clearance of 24.8 liters/h (13%) and 9.65 liters/h (23%) for cattle and 13.7 liters/h (85%) and 0.52 liters/h (40%) for swine. Body weight and age were the covariates in the final pharmacokinetic models. This study established a robust model of penicillin for a large and diverse population of food-producing animals which could be applied to other antibiotics and species in future analyses.

scholarly journals Population Pharmacokinetic Model Linking Plasma and Peripheral Blood Mononuclear Cell Concentrations of Efavirenz and Its Metabolite, 8-Hydroxy-Efavirenz, in HIV Patients

2017 ◽  
Vol 61 (8) ◽  
Author(s):  
Abiy Habtewold ◽  
Eleni Aklillu ◽  
Eyasu Makonnen ◽  
Getnet Yimer ◽  
Leif Bertilsson ◽  
...  
Keyword(s):  
Peripheral Blood ◽  
Mononuclear Cells ◽  
Compartment Model ◽  
Central Compartment ◽  
Peripheral Compartment ◽  
Population Pharmacokinetic ◽  
Concentration Data ◽  
Peripheral Blood Mononuclear ◽  
First Order ◽  
Two Compartment Model

ABSTRACT The objectives of this study were to characterize the population pharmacokinetics (PK) of efavirenz (EFV) and 8-hydroxy-efavirenz (8OHEFV) in plasma and peripheral blood mononuclear cells (PBMCs) and to explore covariates affecting the PK parameters. Fifty-one patients had steady-state 0-to-24-h concentrations of EFV and 8OHEFV in plasma with corresponding concentrations in PBMCs, while 261 patients had one or two sparse concentrations at 16 ± 1 h postdose at weeks 4 and/or 16. The pharmacogenetic markers CYP2B6*6, CYP3A5*3, CYP3A5*6, UGT2B7*2, ABCB1 (3435C→T, 3842A→G), OATP1B1*1B, and OATP1B1*5, the presence of a rifampin-based antituberculosis (anti-TB) regimen, baseline body weight and organ function values, and demographic factors were explored as covariates. EFV concentration data were well described by a two-compartment model with first-order absorption (Ka ) and absorption lag time (A lag) (Ka = 0.2 h−1; A lag = 0.83 h; central compartment clearance [CLc/F] for CYP2B6*1/*1 = 18 liters/h, for CYP2B6*1/*6 = 14 liters/h, and for CYP2B6*6/*6 = 8.6 liters/h) and PBMCs as a peripheral compartment. EFV transfer from plasma to PBMCs was first order (CLp/F = 32 liters/h), followed by capacity-limited return (V max = 4,400 ng/ml/h; Km = 710 ng/ml). Similarly, 8OHEFV displayed a first-order elimination and distribution to PBMCs, with a capacity-limited return to plasma. No covariate relationships resulted in a significant explanation of interindividual variability (IIV) on the estimated PK parameters of EFV and 8OHEFV, except for CYP2B6*6 genotypes, which were consistent with prior evidence. Both EFV and 8OHEFV accumulated to higher concentrations in PBMCs than in plasma and were well described by first-order input and Michaelis-Menten kinetics removal from PBMCs. CYP2B6*6 genotype polymorphisms were associated with decreased EFV and 8OHEFV clearance.

scholarly journals Advancement of pharmacokinetic models of iohexol in patients aged 70 years or older with impaired kidney function

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Max Taubert ◽  
Elke Schaeffner ◽  
Peter Martus ◽  
Markus van der Giet ◽  
Uwe Fuhr ◽  
...  
Keyword(s):  
Random Effects ◽  
Compartment Model ◽  
Optimal Timing ◽  
Population Pharmacokinetic ◽  
Optimal Sampling ◽  
Post Injection ◽  
Concentration Data ◽  
Compartment Models ◽  
Three Compartment Model ◽  
The Impact

AbstractPlasma clearance of iohexol is a pivotal metric to quantify glomerular filtration rate (GFR), but the optimal timing and frequency of plasma sampling remain to be assessed. In this study, we evaluated the impact of a Bayesian estimation procedure on iohexol clearance estimates, and we identified an optimal sampling strategy based on data in individuals aged 70+. Assuming a varying number of random effects, we re-estimated previously developed population pharmacokinetic two- and three-compartment models in a model development group comprising 546 patients with iohexol concentration data up to 300 min post injection. Model performance and optimal sampling times were assessed in an evaluation group comprising 104 patients with reduced GFR and concentration data up to 1440 min post injection. Two- and three-compartment models with random effects for all parameters overestimated clearance values (bias 5.07 and 4.40 mL/min, respectively) and underpredicted 24-h concentrations (bias − 14.5 and − 12.0 µg/ml, respectively). Clearance estimates improved distinctly when limiting random effects of the three-compartment model to clearance and central volume of distribution. Two blood samples, one early and one 300 min post injection, were sufficient to estimate iohexol clearance. A simplified three-compartment model is optimal to estimate iohexol clearance in elderly patients with reduced GFR.

The impact of HER2 phenotype of circulating tumor cells in metastatic breast cancer: a study in 107 patients

2014 ◽  
Vol 74 (S 01) ◽  
Author(s):  
M Wallwiener ◽  
AD Hartkopf ◽  
S Riethdorf ◽  
J Nees ◽  
FA Taran ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Tumor Cells ◽  
Circulating Tumor Cells ◽  
Metastatic Breast ◽  
The Impact

scholarly journals Impact of Pharmaceutical Prophylaxis on Radiation-Induced Liver Disease Following Radioembolization

Cancers ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 1992
Author(s):  
Max Seidensticker ◽  
Matthias Philipp Fabritius ◽  
Jannik Beller ◽  
Ricarda Seidensticker ◽  
Andrei Todica ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Metastatic Breast Cancer ◽  
Liver Disease ◽  
Positive Impact ◽  
Metastatic Breast ◽  
Normal Liver ◽  
Liver Parenchyma ◽  
Breast Cancer Patients ◽  
Radiation Induced ◽  
The Impact

Background: Radioembolization (RE) with yttrium-90 (90Y) resin microspheres yields heterogeneous response rates in with primary or secondary liver cancer. Radiation-induced liver disease (RILD) is a potentially life-threatening complication with higher prevalence in cirrhotics or patients exposed to previous chemotherapies. Advances in RILD prevention may help increasing tolerable radiation doses to improve patient outcomes. This study aimed to evaluate the impact of post-therapeutic RILD-prophylaxis in a cohort of intensely pretreated liver metastatic breast cancer patients; Methods: Ninety-three patients with liver metastases of breast cancer received RE between 2007 and 2016. All Patients received RILD prophylaxis for 8 weeks post-RE. From January 2014, RILD prophylaxis was changed from ursodeoxycholic acid (UDCA) and prednisolone (standard prophylaxis [SP]; n = 59) to pentoxifylline (PTX), UDCA and low-dose low molecular weight heparin (LMWH) (modified prophylaxis (MP); n = 34). The primary endpoint was toxicity including symptoms of RILD; Results: Dose exposure of normal liver parenchyma was higher in the modified vs. standard prophylaxis group (47.2 Gy (17.8–86.8) vs. 40.2 Gy (12.5–83.5), p = 0.017). All grade RILD events (mild: bilirubin ≥ 21 µmol/L (but <30 μmol/L); severe: (bilirubin ≥ 30 µmol/L and ascites)) were observed more frequently in the SP group than in the MP group, albeit without significance (7/59 vs. 1/34; p = 0.140). Severe RILD occurred in the SP group only (n = 2; p > 0.1). ALBI grade increased in 16.7% patients in the MP and in 27.1% patients in the SP group, respectively (group difference not significant); Conclusions: At established dose levels, mild or severe RILD events proved rare in our cohort. RILD prophylaxis with PTX, UDCA and LMWH appears to have an independent positive impact on OS in patients with metastatic breast cancer and may reduce the frequency and severity of RILD. Results of this study as well as pathophysiological considerations warrant further investigations of RILD prophylaxis presumably targeting combinations of anticoagulation (MP) and antiinflammation (SP) to increase dose prescriptions in radioembolization.

Plasma ESR1 Mutations and the Treatment of Estrogen Receptor–Positive Advanced Breast Cancer

2016 ◽  
Vol 34 (25) ◽  
pp. 2961-2968 ◽  
Author(s):  
Charlotte Fribbens ◽  
Ben O’Leary ◽  
Lucy Kilburn ◽  
Sarah Hrebien ◽  
Isaac Garcia-Murillas ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Estrogen Receptor ◽  
Advanced Breast Cancer ◽  
Metastatic Breast ◽  
Advanced Breast ◽  
Phase Iii ◽  
Wild Type ◽  
Estrogen Receptor Positive ◽  
Esr1 Mutations ◽  
The Impact

Purpose ESR1 mutations are selected by prior aromatase inhibitor (AI) therapy in advanced breast cancer. We assessed the impact of ESR1 mutations on sensitivity to standard therapies in two phase III randomized trials that represent the development of the current standard therapy for estrogen receptor–positive advanced breast cancer. Materials and Methods In a prospective-retrospective analysis, we assessed ESR1 mutations in available archived baseline plasma from the SoFEA (Study of Faslodex Versus Exemestane With or Without Arimidex) trial, which compared exemestane with fulvestrant-containing regimens in patients with prior sensitivity to nonsteroidal AI and in baseline plasma from the PALOMA3 (Palbociclib Combined With Fulvestrant in Hormone Receptor–Positive HER2-Negative Metastatic Breast Cancer After Endocrine Failure) trial, which compared fulvestrant plus placebo with fulvestrant plus palbociclib in patients with progression after receiving prior endocrine therapy. ESR1 mutations were analyzed by multiplex digital polymerase chain reaction. Results In SoFEA, ESR1 mutations were found in 39.1% of patients (63 of 161), of whom 49.1% (27 of 55) were polyclonal, with rates of mutation detection unaffected by delays in processing of archival plasma. Patients with ESR1 mutations had improved progression-free survival (PFS) after taking fulvestrant (n = 45) compared with exemestane (n = 18; hazard ratio [HR], 0.52; 95% CI, 0.30 to 0.92; P = .02), whereas patients with wild-type ESR1 had similar PFS after receiving either treatment (HR, 1.07; 95% CI, 0.68 to 1.67; P = .77). In PALOMA3, ESR1 mutations were found in the plasma of 25.3% of patients (91 of 360), of whom 28.6% (26 of 91) were polyclonal, with mutations associated with acquired resistance to prior AI. Fulvestrant plus palbociclib improved PFS compared with fulvestrant plus placebo in both ESR1 mutant (HR, 0.43; 95% CI, 0.25 to 0.74; P = .002) and ESR1 wild-type patients (HR, 0.49; 95% CI, 0.35 to 0.70; P < .001). Conclusion ESR1 mutation analysis in plasma after progression after prior AI therapy may help direct choice of further endocrine-based therapy. Additional confirmatory studies are required.

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