Jo-Ann Wentland
Pfizer
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Jo-Ann Wentland.
Aaps Journal | 2014
Dhaval K. Shah; Lindsay King; Xiaogang Han; Jo-Ann Wentland; Yanhua Zhang; Judy Lucas; Nahor Haddish-Berhane; Alison Betts; Mauricio Leal
The objectives of this investigation were as follows: (a) to validate a mechanism-based pharmacokinetic (PK) model of ADC for its ability to a priori predict tumor concentrations of ADC and released payload, using anti-5T4 ADC A1mcMMAF, and (b) to analyze the PK model to find out main pathways and parameters model outputs are most sensitive to. Experiential data containing biomeasures, and plasma and tumor concentrations of ADC and payload, following A1mcMMAF administration in two different xenografts, were used to build and validate the model. The model performed reasonably well in terms of a priori predicting tumor exposure of total antibody, ADC, and released payload, and the exposure of released payload in plasma. Model predictions were within two fold of the observed exposures. Pathway analysis and local sensitivity analysis were conducted to investigate main pathways and set of parameters the model outputs are most sensitive to. It was discovered that payload dissociation from ADC and tumor size were important determinants of plasma and tumor payload exposure. It was also found that the sensitivity of the model output to certain parameters is dose-dependent, suggesting caution before generalizing the results from the sensitivity analysis. Model analysis also revealed the importance of understanding and quantifying the processes responsible for ADC and payload disposition within tumor cell, as tumor concentrations were sensitive to these parameters. Proposed ADC PK model provides a useful tool for a priori predicting tumor payload concentrations of novel ADCs preclinically, and possibly translating them to the clinic.
Biopharmaceutics & Drug Disposition | 1999
Anne E. Reed-Hagen; Megumi Tsuchiya; Kaoru Shimada; Jo-Ann Wentland; R. Scott Obach
The pharmacokinetics of ezlopitant were determined in the rat, gerbil, guinea pig, ferret, dog and monkey after intravenous and oral administration. In general, ezlopitant is marked by high clearance values that approach or exceed hepatic blood flow values, moderate to high values for steady-state volume of distribution (3. 9-28 L/kg), and terminal phase half-life values ranging from 0.6 h in the guinea pig to 7.7 h in the rat. Oral bioavailability ranged from <0.2% (guinea pig) to 28% (dog). Data from portal vein cannulated dogs suggested that 37% of an oral dose of ezlopitant enters the portal vein as an unchanged drug in this species. Ezlopitant is metabolized to two pharmacologically active metabolites, an alkene (CJ-12 458) and a benzyl alcohol (CJ-12 764). After administration of the parent compound, CJ-12 764 was found in greater abundance than CJ-12 458 in all species examined. Ezlopitant and CJ-12 458 were highly protein bound in plasma (or serum), whereas the protein binding of CJ-12 764 was somewhat lower. Measurement of the kinetics of ezlopitant, CJ-12 458 and CJ-12 764 in the cerebrospinal fluid (CSF) of dogs demonstrated that all three compounds can partition into the CSF, and thereby, be capable of contributing to centrally mediated pharmacological effects. Thus, these data suggest that the pharmacological activity exhibited by ezlopitant in preclinical species in vivo is likely a result of the parent compound plus the active metabolites. Furthermore, the contributions of ezlopitant and the active metabolites to pharmacological activity probably varies with the identity of the model species, as well as the dose and route of ezlopitant administration.
Bioconjugate Chemistry | 2015
Mauricio Leal; Jo-Ann Wentland; Xiaogang Han; Yanhua Zhang; Brian Rago; Nicole Duriga; Franklin Spriggs; Eugene Kadar; Wei Song; Jim McNally; Quazi Shakey; Leslie G. Lorello; Judy Lucas; Puja Sapra
The pharmacokinetics of an antibody (huA1)-drug (auristatin microtubule disrupting MMAF) conjugate, targeting 5T4-expressing cells, were characterized during the discovery and development phases in female nu/nu mice and cynomolgus monkeys after a single dose and in S-D rats and cynomolgus monkeys from multidose toxicity studies. Plasma/serum samples were analyzed using an ELISA-based method for antibody and conjugate (ADC) as well as for the released payload using an LC-MS/MS method. In addition, the distribution of the Ab, ADC, and released payload (cys-mcMMAF) was determined in a number of tissues (tumor, lung, liver, kidney, and heart) in two tumor mouse models (H1975 and MDA-MB-361-DYT2 models) using similar LBA and LC-MS/MS methods. Tissue distribution studies revealed preferential tumor distribution of cys-mcMMAF and its relative specificity to the 5T4 target containing tissue (tumor). Single dose studies suggests lower CL values at the higher doses in mice, although a linear relationship was seen in cynomolgus monkeys at doses from 0.3 to 10 mg/kg with no evidence of TMDD. Evaluation of DAR (drug-antibody ratio) in cynomolgus monkeys (at 3 mg/kg) indicated that at least half of the payload was still on the ADC 1 to 2 weeks after IV dosing. After multiple doses, the huA1 and conjugate data in rats and monkeys indicate that exposure (AUC) increases with increasing dose in a linear fashion. Systemic exposure (as assessed by Cmax and AUC) of the released payload increased with increasing dose, although exposure was very low and its pharmacokinetics appeared to be formation rate limited. The incidence of ADA was generally low in rats and monkeys. We will discuss cross species comparison, relationships between the Ab, ADC, and released payload exposure after multiple dosing, and insights into the distribution of this ADC with a focus on experimental design as a way to address or bypass apparent obstacles and its integration into predictive models.
Aaps Journal | 2016
Tracey Clark; Phillip Yates; Allison Given Chunyk; Alison Joyce; Aidong Wu; Petar Pop-Damkov; Yiqun Zhang; Elizabeth A. Dreher; Laurie Tylaska; Jo-Ann Wentland; Kathleen Pelletier; Lindsay King; Chad Ray
ABSTRACTThere are many sources of analytical variability in ligand binding assays (LBA). One strategy to reduce variability has been duplicate analyses. With recent advances in LBA technologies, it is conceivable that singlet analysis is possible. We retrospectively evaluated singlet analysis using Gyrolab data. Relative precision of duplicates compared to singlets was evaluated using 60 datasets from toxicokinetic (TK) or pharmacokinetic (PK) studies which contained over 23,000 replicate pairs composed of standards, quality control (QC), and animal samples measured with 23 different bioanalytical assays. The comparison was first done with standard curve and QCs followed by PK parameters (i.e., Cmax and AUC). Statistical analyses were performed on combined duplicate versus singlets using a concordance correlation coefficient (CCC), a measurement used to assess agreement. Variance component analyses were conducted on PK estimates to assess the relative analytical and biological variability. Overall, 97.5% of replicate pairs had a %CV of <11% and 50% of the results had a %CV of ≤1.38%. There was no observable bias in concentration comparing the first replicate with the second (CCC of 0.99746 and accuracy value of 1). The comparison of AUC and Cmax showed no observable difference between singlet and duplicate (CCC for AUC and Cmax >0.99999). Analysis of variance indicated an AUC inter-subject variability 35.3-fold greater than replicate variability and 8.5-fold greater for Cmax. Running replicates from the same sample will not significantly reduce variation or change PK parameters. These analyses indicated the majority of variance was inter-subject and supported the use of a singlet strategy.
Molecular Cancer Therapeutics | 2016
Anand Giddabasappa; Vijay Gupta; Rand Norberg; Parul Gupta; Mary E. Spilker; Jo-Ann Wentland; Brian Rago; Jeetendra Eswaraka; Mauricio Leal; Puja Sapra
Understanding a drugs whole-body biodistribution and tumor targeting can provide important information regarding efficacy, safety, and dosing parameters. Current methods to evaluate biodistribution include in vivo imaging technologies like positron electron tomography and single-photon emission computed tomography or ex vivo quantitation of drug concentrations in tissues using autoradiography and standard biochemical assays. These methods use radioactive compounds or are cumbersome and do not give whole-body information. Here, for the first time, we show the utility of fluorescence molecular tomography (FMT) imaging to determine the biodistribution and targeting of an antibody–drug conjugate (ADC). An anti–5T4-antibody (5T4-Ab) and 5T4-ADC were conjugated with a near-infrared (NIR) fluorophore VivoTag 680XL (VT680). Both conjugated compounds were stable as determined by SEC-HPLC and plasma stability studies. Flow cytometry and fluorescence microscopy studies showed that VT680-conjugated 5T4-ADC specifically bound 5T4-expressing cells in vitro and also exhibited a similar cytotoxicity profile as the unconjugated 5T4-ADC. In vivo biodistribution and tumor targeting in an H1975 subcutaneous xenograft model demonstrated no significant differences between accumulation of VT680-conjugated 5T4-Ab or 5T4-ADC in either normal tissues or tumor. In addition, quantitation of heart signal from FMT imaging showed good correlation with the plasma pharmacokinetic profile suggesting that it (heart FMT imaging) may be a surrogate for plasma drug clearance. These results demonstrate that conjugation of VT680 to 5T4-Ab or 5T4-ADC does not change the behavior of native biologic, and FMT imaging can be a useful tool to understand biodistribution and tumor-targeting kinetics of antibodies, ADCs, and other biologics. Mol Cancer Ther; 15(10); 2530–40. ©2016 AACR.
Oncotarget | 2017
Parul Gupta; Jo-Ann Wentland; Mauricio Leal; Dangshe Ma; Rachel Roach; Antonio Esparza; Lindsay King; Mary E. Spilker; Cedo M. Bagi; Christopher T. Winkelmann; Anand Giddabasappa
Non-invasive imaging using radiolabels is a common technique used to study the biodistribution of biologics. Due to the limited shelf-life of radiolabels and the requirements of specialized labs, non-invasive optical imaging is an attractive alternative for preclinical studies. Previously, we demonstrated the utility of fluorescence molecular tomography (FMT) an optical imaging modality in evaluating the biodistribution of antibody-drug conjugates. As FMT is a relatively new technology, few fluorophores have been validated for in vivo imaging. The goal of this study was to characterize and determine the utility of near-infrared (NIR) fluorophores for biodistribution studies using interleukin-13 receptor subunit alpha-2 antibody (IL13Rα2-Ab). Eight fluorophores (ex/em: 630/800 nm) with an N-hydroxysuccinimide (NHS) linker were evaluated for Ab conjugation. The resulting antibody-fluorophore (Ab-F) conjugates were evaluated in vitro for degree of conjugation, stability and target-binding, followed by in vivo/ex vivo FMT imaging to determine biodistribution in a xenograft model. The Ab-F conjugates (except Ab-DyLight800) showed good in vitro stability and antigen binding. All Ab-F conjugates (except for Ab-BOD630) resulted in a quantifiable signal in vivo and had similar biodistribution profiles, with peak tumor accumulation between 6 and 24 h post-injection. In vivo/ex vivo FMT imaging showed 17–34% ID/g Ab uptake by the tumor at 96 h. Overall, this is the first study to characterize the biodistribution of an Ab using eight NIR fluorophores. Our results show that 3-dimensional optical imaging is a valuable technology to understand biodistribution and targeting, but a careful selection of the fluorophore for each Ab is warranted.
Cancer Research | 2014
Anand Giddabasappa; Rand Norberg; Mauricio Leal; David Paterson; Kush Lalwani; Ted Levkoff; Stella Rapa; Puja Sapra; Michael Ritche; Jo-Ann Wentland; Brian Rago; Jeetendra Eswaraka
Proceedings: AACR Annual Meeting 2014; April 5-9, 2014; San Diego, CA Introduction: Currently bio-distribution of biologic drugs is evaluated by PET imaging, autoradioraphy using radio-labeled molecules or ex vivo methods. Advances in optical probes and non-invasive imaging technologies have given us an opportunity to conduct such studies without the use of radio-labeled materials or by traditional pharmacokinetic (PK) studies. 5T4 (also known as TPBG or oncofetal antigen) is a transmembrane glycoprotein expressed highly on tumor-initiating cells. Anti-5T4-mcMMAF used in these studies is an anti-5T4-antibody drug conjugate (ADC) that reacts to human, cyno and marmoset orthologs of 5T4. Previously, we showed the efficacy of anti-5T4-ADC in pre-clinical models (Sapra et al.,). In this study we show the utility of Fluorescence Molecular Tomography (FMT) imaging in bio-distribution studies with this ADC using a H1975 non-small cell lung cancer (NSCLC) xenograft model. Methods: For the H1975 xenograft model, five million cells in 50% matrigel were injected into the subcutaneous flanks of the female nu/nu mice, and a biodistribution study was initiated when the tumors reached ∼500 mm3. The anti-5T4-ADC and a control ADC (non-binding) were conjugated with near-IR fluorophore VivoTag680XL. The labeling efficiency and quality was determined by Nanodrop-8000 spectrophotometer and binding assays. FMT imaging was performed longitudinally at 5min, 6hr, 24hr, 48hr, 96hr and 240hrs post injection of labeled ADCs. Ex vivo imaging of organs was performed at intermittent time points after perfusing with PBS. Data was analyzed using TrueQuant software. Plasma and tissues were collected at various time points and analyzed by GyrolabTM workstation and LCMS methods. Results: VivoTag680XL conjugation was efficient and achieved degree of labeling between 2-3. Three-dimensional quantitative analysis of FMT data showed significant specific targeting of anti-5T4-ADC to the tumors (ex vivo and in vivo comparison), relative to the control non-binding ADC. The peak accumulation in tumor was observed at 48hrs post injection and the concentration decreased in later time points. Liver was the major organ for the non-specific accumulation of these antibodies/ADCs, followed by kidneys and lung. Both 5T4-ADC and Control-ADC showed similar accumulation at 48hrs and 96hrs in liver, whereas it decreased significantly at 240hrs. The FMT imaging data was comparative and correlated with the traditional plasma PK profile data. Conclusion: These results show that anti-5T4-ADC targets the tumor better than non-binding ADC. This study also shows the utility of FMT in bio-distribution studies of biologics. Since the fluorophore can be conjugated to any protein/peptide, this novel approach can become a platform technology in conducting biodistribution studies of all biologic drugs. Citation Format: Anand Giddabasappa, Rand Norberg, Mauricio Leal, David Paterson, Kush Lalwani, Ted Levkoff, Stella Rapa, Puja Sapra, Michael Ritche, Joann Wentland, Brian Rago, Jeetendra Eswaraka. Whole-body bio-distribution of anti-5T4-mcMMAF (anti-5T4-ADC) using fluorescence molecular tomography (FMT) imaging in a non-small cell lung cancer mice model. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 4293. doi:10.1158/1538-7445.AM2014-4293
Molecular Cancer Therapeutics | 2011
Mauricio Leal; Jo-Ann Wentland; Tracey Clark; Jenny Zhang; John M. Marcek; Kiran Khandke; John F. DiJoseph; Judy Lucas; Elizabeth Groeber; Xiaognag Han; George Hu; Hans-Peter Gerber; Puja Sapra
The pharmacokinetics of a novel antibody (huA1)-drug (auristatin tubulin inhibitor MMAF) conjugate, targeting 5T4-expressing cells, were obtained in female nu/nu mice after a single IV dose of 1, 3 or 10 mg/kg and in male cynomolgus monkeys from a 2-cycle exploratory toxicity study at doses of 1, 3 or 10 mg/kg/cycle. Plasma/serum samples, collected over a 336 hr period after dosing, were analyzed using an ELISA-based method for antibody and conjugate (ADC) as well as for the Auristatin payload using an LC/MS/MS method. A comparison across doses (1 − 10 mg/kg) suggests lower CL values at the higher doses (3 and 10 mg/kg) in mice. Exposure in the mouse at anti-tumor doses was within the exposure observed at nontoxic doses with the monkeys. The huA1 and conjugate toxicokinetic data in monkeys dosed with A1mcMMAF indicates that exposure (AUC) increases with increasing dose although it appears to increase in a greater than proportional manner at the higher doses. In both mice and monkeys, the elimination half-life was longer as the dose increased from 1 to 10 mg/kg (from 4.2 to 8.7 days in monkeys, respectively). Systemic exposure (as assessed by Cmax and AUC) of the released payload increased with increasing dose although exposure was very low and its pharmacokinetics appeared to be formation rate limited. The analytical data from these studies are being used to inform PKPD models, to both quantitatively characterize the system and ultimately provide dose projections for this ADC construct Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the AACR-NCI-EORTC International Conference: Molecular Targets and Cancer Therapeutics; 2011 Nov 12-16; San Francisco, CA. Philadelphia (PA): AACR; Mol Cancer Ther 2011;10(11 Suppl):Abstract nr C117.
Archive | 2010
Robert Rothlein; Jeffrey C. Webster; Gregory T. Bleck; Madan Katragadda; Manoj Rajadhyaksha; Bernard N. Violand; Jo-Ann Wentland
Alzheimers & Dementia | 2009
Ellen Q. Wang; Jo-Ann Wentland; Manoj Rajadhyaksha; Robert A. Durham; Gary Freeman