Stacy L. Throm

Dexamethasone increases expression and activity of multidrug resistance transporters at the rat blood-brain barrier

Brain edema is an important factor leading to morbidity and mortality associated with primary brain tumors. Dexamethasone, a synthetic glucocorticoid, is routinely prescribed with antineoplastic agents to alleviate pain associated with chemotherapy and reduce intracranial pressure. We investigated whether dexamethasone treatment increased the expression and activity of multidrug resistance (MDR) transporters at the blood-brain barrier. Treatment of primary rat brain microvascular endothelial cells with submicromolar concentrations of dexamethasone induced significantly higher levels of drug efflux transporters such as breast cancer resistance protein (abcg2), P-glycoprotein (P-gp; abcb1a/abcb1b), and MDR protein 2 (Mrp2; abcc2) as indicted by protein and mRNA levels as well as by functional activity. The effect of dexamethasone on transporter function was significant within 6 h of treatment, was dose dependent, and was reversible. Dexamethasone-induced upregulation of Bcrp and P-gp expression and function was partially abrogated by the glucocorticoid receptor (GR) antagonist RU486. In contrast, RU486 had no effect on the dexamethasone-induced upregulation of Mrp2, suggesting a GR-independent regulation of Mrp2, and a GR-dependent regulation of P-gp and Bcrp. In addition to the dexamethasone-induced upregulation of MDR transporters, we measured a dose-dependent and reversible increase in the expression of the nuclear transcription factor pregnane xenobiotic receptor (PXR). Administering dexamethasone to rats caused increased expression of PXR in brain microvessels within 24 h. These results suggest that adjuvant therapy with corticosteroids such as dexamethasone in the treatment of brain tumors may increase the expression of MDR transporters at the blood-brain barrier through pathways involving GR and PXR.

UGT1A1 Promoter Genotype Correlates With SN-38 Pharmacokinetics, but Not Severe Toxicity in Patients Receiving Low-Dose Irinotecan

PURPOSE To study the association between UDP-glucuronosyltransferase 1A1 (UGT1A1) genotypes and severe toxicity as well as irinotecan disposition in pediatric patients with solid tumors receiving low-dose, protracted irinotecan (15 to 75 mg/m2 daily for 5 days for 2 consecutive weeks). PATIENTS AND METHODS Seventy-four patients on five institutional clinical trials received irinotecan (15 to 75 mg/m2) daily intravenously or orally for 5 days for 2 consecutive weeks. Genomic DNA was genotyped for UGT1A1*28, and patients were designated as 6/6, 6/7, or 7/7 depending on the number of TA repeats in the UGT1A1 promoter region. Patients were evaluated for gastrointestinal and hematologic toxicity, as well as baseline and maximal serum bilirubin levels. Toxicity and pharmacokinetic results were evaluated during courses 1 and 2 of irinotecan therapy. RESULTS The frequencies of 6/6, 6/7, and 7/7 genotypes were 27 (36.5%), 36 (48.6%), and 9 (12.2%) of 74 patients, respectively. Patients with 7/7 genotype had a statistically greater baseline total bilirubin than patients with 6/6 or 6/7 genotype (P = .005). UGT1A1*28 genotype was not associated with grade 3 and 4 neutropenia (P = .21 for course 1; P = .23 for course 2) or diarrhea (P = .176 for course 1; P = .87 for course 2). However, patients with the 7/7 genotype tended to have higher SN-38 area under the plasma time-concentration curve (AUC) values and lower SN-38G/SN-38 AUC ratios. CONCLUSION Severe toxicity was not increased in pediatric patients with the 7/7 genotype when treated with a low-dose protracted schedule of irinotecan. Therefore, UGT1A1 genotyping is not a useful prognostic indicator of severe toxicity for patients treated with this irinotecan dosage and schedule.

Whole-Body Physiologically Based Pharmacokinetic Model for Nutlin-3a in Mice after Intravenous and Oral Administration

Nutlin-3a is an MDM2 inhibitor that is under investigation in preclinical models for a variety of pediatric malignancies, including retinoblastoma, rhabdomyosarcoma, neuroblastoma, and leukemia. We used physiologically based pharmacokinetic (PBPK) modeling to characterize the disposition of nutlin-3a in the mouse. Plasma protein binding and blood partitioning were assessed by in vitro studies. After intravenous (10 and 20 mg/kg) and oral (50, 100, and 200 mg/kg) dosing, tissue concentrations of nutlin-3a were determined in plasma, liver, spleen, intestine, muscle, lung, adipose, bone marrow, adrenal gland, brain, retina, and vitreous fluid. The PBPK model was simultaneously fit to all pharmacokinetic data using NONMEM. Nutlin-3a exhibited nonlinear binding to murine plasma proteins, with the unbound fraction ranging from 0.7 to 11.8%. Nutlin-3a disposition was characterized by rapid absorption with peak plasma concentrations at approximately 2 h and biphasic elimination consistent with a saturable clearance process. The final PBPK model successfully described the plasma and tissue disposition of nutlin-3a. Simulations suggested high bioavailability, rapid attainment of steady state, and little accumulation when administered once or twice daily at dosages up to 400 mg/kg. The final model was used to perform simulations of unbound tissue concentrations to determine which dosing regimens are appropriate for preclinical models of several pediatric malignancies.

Population Pharmacokinetics of Bevacizumab in Children with Osteosarcoma: Implications for Dosing

Purpose: To describe sources of interindividual variability in bevacizumab disposition in pediatric patients and explore associations among bevacizumab pharmacokinetics and clinical wound healing outcomes. Experimental Design: Before tumor resection, three doses of bevacizumab (15 mg/kg) were administered to patients (median age, 12.2 years) enrolled in a multi-institutional osteosarcoma trial. Serial sampling for bevacizumab pharmacokinetics was obtained from 27 patients. A population pharmacokinetic model was fit to the data, and patient demographics and clinical chemistry values were systematically tested as predictive covariates on model parameters. Associations between bevacizumab exposure and wound healing status were evaluated by logistic regression. Results: Bevacizumab concentration–time data were adequately described by a two-compartment model. Pharmacokinetic parameter estimates were similar to those previously reported in adults, with a long median (range) terminal half-life of 12.2 days (8.6 to 32.4 days) and a volume of distribution indicating confinement primarily to the vascular space, 49.1 mL/kg (27.1 to 68.3 mL/kg). Body composition was a key determinant of bevacizumab exposure, as body mass index percentile was significantly (P < 0.05) correlated to body-weight normalized clearance and volume of distribution. Furthermore, bevacizumab exposure before primary tumor resection was associated with increased risk of major wound healing complications after surgery (P < 0.05). Conclusion: A population pharmacokinetic model for bevacizumab was developed, which demonstrated that variability in bevacizumab exposure using weight-based dosing is related to body composition. Bevacizumab dosage scaling using ideal body weight would provide an improved dosing approach in children by minimizing pharmacokinetic variability and reducing likelihood of major wound healing complications. Clin Cancer Res; 20(10); 2783–92. ©2014 AACR.

Deriving therapies for children with primary CNS tumors using pharmacokinetic modeling and simulation of cerebral microdialysis data.

The treatment of children with primary central nervous system (CNS) tumors continues to be a challenge despite recent advances in technology and diagnostics. In this overview, we describe our approach for identifying and evaluating active anticancer drugs through a process that enables rational translation from the lab to the clinic. The preclinical approach we discuss uses tumor subgroup-specific models of pediatric CNS tumors, cerebral microdialysis sampling of tumor extracellular fluid (tECF), and pharmacokinetic modeling and simulation to overcome challenges that currently hinder researchers in this field. This approach involves performing extensive systemic (plasma) and target site (CNS tumor) pharmacokinetic studies. Pharmacokinetic modeling and simulation of the data derived from these studies are then used to inform future decisions regarding drug administration, including dosage and schedule. Here, we also present how our approach was used to examine two FDA approved drugs, simvastatin and pemetrexed, as candidates for new therapies for pediatric CNS tumors. We determined that due to unfavorable pharmacokinetic characteristics and insufficient concentrations in tumor tissue in a mouse model of ependymoma, simvastatin would not be efficacious in further preclinical trials. In contrast to simvastatin, pemetrexed was advanced to preclinical efficacy studies after our studies determined that plasma exposures were similar to those in humans treated at similar tolerable dosages and adequate unbound concentrations were found in tumor tissue of medulloblastoma-bearing mice. Generally speaking, the high clinical failure rates for CNS drug candidates can be partially explained by the fact that therapies are often moved into clinical trials without extensive and rational preclinical studies to optimize the transition. Our approach addresses this limitation by using pharmacokinetic and pharmacodynamic modeling of data generated from appropriate in vivo models to support the rational testing and usage of innovative therapies in children with CNS tumors.

Magnetic resonance imaging–guided microdialysis cannula implantation in a spontaneous high‐grade glioma murine model

Cerebral microdialysis is used to study anticancer drug penetration in the central nervous system (CNS) and brain tumors in animal models. Genetically engineered murine models (GEMMs) have been recently used to study many aspects of CNS tumors since they represent a more relevant model than orthotopic brain tumor xenograft models. However, it is challenging to implant microdialysis cannula in these animals because T2-weighted magnetic resonance imaging (MRI) does not show the reference point (bregma) traditionally used to obtain stereotactic coordinates. Thus, an alternative reference point that can be visualized on MRI images is needed. In this study, a novel reference point, identified as the intersection between the olfactory bulb/frontal lobe border and the midline between cerebral hemispheres on T2-weighted MRI images, was used to calculate anterior-posterior and medial-lateral coordinates of brain tumors in a GEMM. This point overlies a visible crossover between the rostral rhinal vein and the midline suture on the mouse skull, allowing for the conversion of the MRI coordinates into surgical stereotactic coordinates. Postmortem MRI and histological examination confirmed accurate probe placement. This procedure will facilitate the accurate and precise implantation of microdialysis probes for the study of anticancer drug penetration in brain tumors of GEMMs.

Abstract 2708: Development of an individualized 3D transport model of topotecan for a patient-derived orthotopic xenograft model of pediatric neuroblastoma

Resistance to chemotherapeutics and targeted therapies in pediatric solid tumors including neuroblastoma is a common cause of poor clinical outcome. These failures in part stem from shortcomings in understanding inter- and intra-tumor heterogeneities of drug penetration due to heterogeneities in blood perfusion. Herein we propose to develop an individualized 3D transport model of topotecan (TPT) for a patient-derived orthotopic xenograft model of pediatric NB5 neuroblastoma to account for inter- and intra-tumor heterogeneities in blood perfusion. The transport model uses a 3D reaction-diffusion equation to simulate diffusion of TPT from blood vessels into the tumor tissue and its flux in and out of intracellular space. Our transport model takes three types of inputs to predict TPT exposure maps defined over the volume of an individual tumor: a) plasma concentration-time profiles from an individualized physiologically-based pharmacokinetic (PBPK) model of TPT (separate cohort), b) 3D blood perfusion map of the individual tumor from contrast enhanced ultrasound (CEUS) using VisualSonics VEVO 2100 imaging system, and c) in vitro TPT cellular uptake and efflux kinetics from two-photon imaging. We use in vitro pharmacodynamics (PD) experiments with NB5 cells exposed to TPT to derive probabilistic PD-rules for drug effects (e.g., γ-H2AX response). Based on these rules and the exposure maps, we then compute probabilities of effects for the entire tumor volume. We will validate the predicted drug effect maps by comparing them to the observed effects measured by immunohistochemistry marker for γ-H2AX from the same tumor (location matched) using spatial correlation techniques. Citation Format: Abbas Shirinifard, Suresh Thiagarajan, Yogesh T. Patel, Abigail D. Davis, Megan O. Jacus, Stacy L. Throm, Jessica Roberts, Vinay Daryani, Clinton F. Stewart, Andras Sablauer. Development of an individualized 3D transport model of topotecan for a patient-derived orthotopic xenograft model of pediatric neuroblastoma. [abstract]. In: Proceedings of the 107th Annual Meeting of the American Association for Cancer Research; 2016 Apr 16-20; New Orleans, LA. Philadelphia (PA): AACR; Cancer Res 2016;76(14 Suppl):Abstract nr 2708.

Abstract 1496: Quantification of tumor blood perfusion of an orthotopic mouse model of neuroblastoma using nonlinear contrast-enhanced ultrasound imaging

Proceedings: AACR 106th Annual Meeting 2015; April 18-22, 2015; Philadelphia, PA This study quantifies tumor perfusion in individual tumors to estimate blood flow and blood volume parameters of an individualized tumor compartment of a comprehensive physiologically-based pharmacokinetic model of topotecan using an orthotopic xenograft model of pediatric neuroblastoma. We non-invasively imaged perfusion in orthotopic neuroblastoma (NB5) xenograft tumors (n = 3 CD1 nude mice/time point) using nonlinear contrast enhanced ultrasound technique (CEUS). Tumor tissue and organs from the mice were harvested at predefined time-points. We used a programmable syringe pump to inject MicroMarker® microbubbles via tail vein catheter and acquired images using VisualSonics VEVO 2100 imaging system. We used the burst-replenishment technique to image tumor perfusion, which requires a constant concentration of microbubbles in blood during acquisition. To maintain a steady concentration of microbubbles, we programmed the pump to inject a small bolus followed by constant infusion. Our preliminary analysis showed that healthy kidneys rapidly reach a steady state in less than 1 min, significantly shorter than the commonly used constant infusion without an initial bolus. The nonlinear CEUS signal intensities of kidney cortex showed less than 20% variation between mice. We used a custom program to acquire the CEUS perfusion images over a 3D volume that included the tumor and a kidney. We used the kidney as a reference organ to normalize whole tumor perfusion data. We fitted the log-normal perfusion model to estimate perfusion parameters for individual tumors. Our perfusion quantification over the entire tumor volume represents tumor perfusion more accurately than the commonly used methods based on a single 2D plane without a reference organ. Our approach provides population estimates of blood perfusion based on properly normalized estimates of individual blood perfusion parameters. Citation Format: Suresh Thiagarajan, Abbas Shirinifard, Megan O. Jacus, Abigail D. Davis, Yogesh T. Patel, Stacy L. Throm, Vinay Daryani, Clinton F. Stewart, Andras Sablauer. Quantification of tumor blood perfusion of an orthotopic mouse model of neuroblastoma using nonlinear contrast-enhanced ultrasound imaging. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 1496. doi:10.1158/1538-7445.AM2015-1496

Abstract 4519: Development of a whole body physiologically-based pharmacokinetic (PBPK) model with individualized tumor compartment for topotecan (TPT) in mice bearing neuroblastoma (NB)

Intratumoral pharmacokinetic (PK) and pharmacodynamic (PD) heterogeneity contribute to variability in NB tumor response to chemotherapy and can be responsible for tumor relapse. Herein we propose to develop a whole body PBPK model with an individualized tumor compartment to derive individual tumor specific concentration-time profiles for the NB standard of care drug TPT. This model can then relate intratumoral heterogeneity in tumor blood flow to PD response and antitumor effects. PK studies of TPT (0.6, 1.25, 5, and 20 mg/kg, IV bolus) will be performed in CD1 nude mice (n = 3 mice/time point) bearing orthotopic NB (NB5) xenograft. Blood samples will be collected at predetermined time points using cardiac puncture, and plasma separated and stored until analysis. Animals will be perfused using saline solution to remove residual blood, and tissue samples including tumor, muscle, adipose, bone, liver, gallbladder, kidney, spleen, lungs, brain, heart, duodenum, and large intestine collected. TPT concentrations in plasma and tissue homogenate samples will be quantified using a validated HPLC fluorescence spectrophotometry method. Tumor samples will be divided into two sections each, one for TPT quantification and one for immunohistochemistry of PD markers for DNA damage (γ-H2AX) and apoptosis (CASP3). A cohort of mice will be used to quantify tumor blood flow using contrast-enhanced ultrasound (CEUS) using MicroMarker® microbubbles prior to dosing the mice for the PK study. TPT plasma and tissue concentration-time data will be used to develop the whole-body PBPK model with an individualized tumor compartment using NONMEM. Individual tumor perfusion data obtained using CEUS will be combined with the PBPK model to derive tumor specific concentration-time profiles. A preliminary study conducted in non-tumor bearing mice receiving TPT 5 mg/kg showed that TPT plasma and tissue concentration-time data were reasonably described by our PBPK model. As expected from our previous studies, the brain tissue was found to have the lowest exposure to TPT with a brain to plasma partition coefficient (Kp,brain ∼ 8%). We also observed high permeability of TPT (Kp > 1) into the gallbladder, duodenum, large intestine, spleen, liver and kidney. In future we will study the correlations between individual tumor concentrations based on our comprehensive PBPK model and γ-H2AX and CASP3 activity. Citation Format: Yogesh T. Patel, Megan O. Jacus, Abbas Shirinifard, Abigail D. Davis, Suresh Thiagarajan, Stacy L. Throm, Vinay M. Daryani, Andras Sablauer, Clinton F. Stewart. Development of a whole body physiologically-based pharmacokinetic (PBPK) model with individualized tumor compartment for topotecan (TPT) in mice bearing neuroblastoma (NB). [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4519. doi:10.1158/1538-7445.AM2015-4519

Abstract 4526: Age dependent disposition of cyclophosphamide (CTX) and metabolites in infants ≤ 1 year old with brain tumors:

An ongoing trial of risk-adapted therapy for infants and young children Citation Format: Vinay M. Daryani, Thandranese S. Owens, K. Elaine Harstead, Yogesh T. Patel, David C. Turner, Stacy L. Throm, John C. Panetta, Amar Gajjar, Clinton F. Stewart. Age dependent disposition of cyclophosphamide (CTX) and metabolites in infants ≤ 1 year old with brain tumors. [abstract]. In: Proceedings of the 106th Annual Meeting of the American Association for Cancer Research; 2015 Apr 18-22; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2015;75(15 Suppl):Abstract nr 4526. doi:10.1158/1538-7445.AM2015-4526