A phage-derived human monoclonal antibody against VEGF-C was developed as a potential anti-tumor therapeutic and exhibited fast clearance in preclinical species, with notably faster clearance in serum than in plasma. The purpose of this work was to understand the factors contributing to its fast clearance. In vitro incubations in animal and human blood, plasma, and serum were conducted with radiolabeled anti-VEGF-C to determine potential protein and cell-based interactions with the antibody as well as any matrix-dependent recovery dependent upon the matrix. A tissue distribution study was conducted in mice with and without heparin infusion in order to identify a tissue sink and determine whether heparin could affect antibody recovery from serum and/or plasma. Incubation of radiolabeled anti-VEGF-C in human and animal blood, plasma, or serum revealed that the antibody formed a complex with an endogenous protein, likely VEGF-C. This complex was trapped within the blood clot during serum preparation from blood, but not within the blood cell pellet during plasma preparation. Low level heparin infusion in mice slowed down clot formation during serum preparation and allowed for better recovery of the radiolabeled antibody in serum. No tissue sink was found in mice. Thus, during this characterization, we determined that the blood sampling matrix greatly impacted the amount of antibody recovered in the samples, therefore, altering its derived pharmacokinetic parameters. Target biology should be considered when selecting appropriate sampling matrices for PK analysis.

Antibody drug conjugates (ADC), in which small molecule cytotoxic agents are non-specifically linked to antibodies, can enable targeted delivery of chemotherapeutics to tumor cells. ADCs are often produced and administered as a mixture of conjugated antibodies with different drug to antibody ratios (DAR) resulting in complex and heterogeneous disposition kinetics. We developed a mechanism-based platform model that can describe and predict the complex pharmacokinetic (PK) behavior of ADCs with protease-cleavable valine-citrulline (VC) linker linked to Monomethylmonomethyl auristatin F/E by incorporating known mechanisms of ADC disposition. The model includes explicit representation of all DAR species; DAR-dependent sequential deconjugation of the drug, resulting in the conversion of higher DAR to lower DAR species; and DAR-dependent antibody/ADC clearance. PK profiles of multiple analytes (total antibody, drug-conjugated antibody, and/or antibody-conjugated drug) for different ADC molecules and targets in rodents and cynomolgus monkeys were used for model development. The integrated cross-species model was successful in capturing the multi-analyte PK profiles after administration of purified ADCs with defined DAR species and ADCs with mixtures of DAR. Human PK predictions for DSTP3086S (anti-STEAP1-vc-MMAE) with the platform model agreed well with PK (total antibody and antibody-conjugated drug concentrations) measurements in the dose-ranging phase I clinical study. The integrated model is applicable to various other ADCs with different formats, conjugated drugs, and linkers, and provides a valuable tool for the exploration of mechanisms governing disposition of ADCs and enables translational predictions.

The quantitative relationship between neonatal Fc receptor (FcRn) binding affinity at both acidic and physiological pH and the pharmacokinetics of protein engineered FcRn IgG1 variants has not yet been reported. Our objective was to develop a quantitatively mechanism-based competitive binding model to describe the effects of FcRn binding affinity at acidic and physiological pH on the pharmacokinetics of anti-VEGF IgG1 antibodies when both endogenous and exogenous antibodies are competing for the same FcRn. Pharmacokinetic (PK) and FcRn binding data from five Fc variants of humanized anti-VEGF IgG1 monoclonal antibodies with wide range of FcRn binding affinity were used for the analysis. Sixty-seven anti-VEGF IgG1 antibody-treated animals and 25 control animals with simulated endogenous IgG levels were used to develop the final model. A hybrid iterative two stages and Monte Carlo parametric expectation-maximization method was used to obtain the final model parameters estimates. The final model well described the observed PK data. Quantitative FcRn binding affinity-pharmacokinetics relationships was constructed to provide important biological insights in better understanding of the FcRn binding effect on pharmacokinetics of anti-VEGF IgG1 antibodies in cynomolgus monkeys and served as an important model-based drug discovery platform to guide the design and development of the future generation of anti-VEGF or other therapeutic IgG1 antibodies.

Currently, more than 350 monoclonal antibodies (mAbs) and mAb derivatives are under development as therapeutics. The prediction of mAb pharmacokinetics (PK)/pharmacodynamics (PD) plays a key role in starting dose selection for first-in-human (FIH) studies. This article presents a brief overview of the biology and mechanisms of absorption, distribution, metabolism and excretion (ADME) for mAbs. In addition, a detailed review of mAb human PK/PD prediction from nonclinical data is provided, including allometry for mAbs with linear or nonlinear PK, species-invariant time method, physiologically based PK (PBPK) modeling and target-mediated drug disposition (TMDD) model, bioavailability projection and immunogenicity impact on PK prediction. Finally, from an industry perspective a decision tree of mAb human PK projection is proposed to facilitate drug development.

Purpose: Several neonatal Fc receptor (FcRn) variants of an anti-tumor necrosis factor (TNF)-alpha humanized monoclonal IgG antibodies (mAbs) were developed but the effect of their differential FcRn binding affinities on pharmacokinetic (PK) behavior were difficult to be definitively measured in vivo due to formation of anti-therapeutic antibody (ATA). A semi-mechanistic model was developed to investigate the quantitative relationship between the FcRn binding affinity and PK of tnAbs in cynomolgus monkey with the presence of ATA.Methods: PK and ATA data from cynomolgus monkeys which received a single intravenous dose of adalimumab, wild-type or two FcRn variant (N434H and N434A) anti-TNF-alpha mAbs were included in the analysis. Likelihood-based censored data handling method was used to include many PK observations with BQL values for model development. A fully integrated PK-ATA model was developed and used to fit simultaneously to the PK/ATA data.Results and conclusions: The PK and ATA time-profiles and effect of FcRn-binding affinity on PK of mAbs were well described by the model and the parameters were estimated with good precision. The model was used successfully to construct quantitative relationships between FcRn binding affinity and PK of anti-TNF-alpha mAbs in the presence of the ATA-mediated elimination and interferences. (C) 2013 Elsevier B.V. All rights reserved.

The neonatal Fc receptor (FcRn) plays an important and well-known role in antibody recycling in endothelial and hematopoietic cells and thus it influences the systemic pharmacokinetics (PK) of immunoglobulin G (IgG). However, considerably less is known about FcRn's role in the metabolism of IgG within individual tissues after intravenous administration. To elucidate the organ distribution and gain insight into the metabolism of humanized IgG1 antibodies with different binding affinities FcRn, comparative biodistribution studies in normal CD-1 mice were conducted. Here, we generated variants of herpes simplex virus glycoprotein D-specific antibody (humanized anti-gD) with increased and decreased FcRn binding affinity by genetic engineering without affecting antigen specificity. These antibodies were expressed in Chinese hamster ovary cell lines, purified and paired radiolabeled with iodine-125 and indium-111. Equal amounts of I-125-labeled and In-111-labeled antibodies were mixed and intravenously administered into mice at 5 mg/kg. This approach allowed us to measure both the real-time IgG uptake (I-125) and cumulative uptake of IgG and catabolites (In-111) in individual tissues up to 1 week post-injection. The PK and distribution of the wild-type IgG and the variant with enhanced binding for FcRn were largely similar to each other, but vastly different for the rapidly cleared low-FcRn-binding variant. Uptake in individual tissues varied across time, FcRn binding affinity, and radiolabeling method. The liver and spleen emerged as the most concentrated sites of IgG catabolism in the absence of FcRn protection. These data provide an increased understanding of FcRn's role in antibody PK and catabolism at the tissue level.

The neonatal Fc receptor (FcRn) plays an important and well-known role in antibody recycling in endothelial and hematopoietic cells and thus it influences the systemic pharmacokinetics (PK) of immunoglobulin G (IgG). However, considerably less is known about FcRn’s role in the metabolism of IgG within individual tissues after intravenous administration. To elucidate the organ distribution and gain insight into the metabolism of humanized IgG1 antibodies with different binding affinities FcRn, comparative biodistribution studies in normal CD-1 mice were conducted. Here, we generated variants of herpes simplex virus glycoprotein D-specific antibody (humanized anti-gD) with increased and decreased FcRn binding affinity by genetic engineering without affecting antigen specificity. These antibodies were expressed in Chinese hamster ovary cell lines, purified and paired radiolabeled with iodine-125 and indium-111. Equal amounts of I-125-labeled and In-111-labeled antibodies were mixed and intravenously administered into mice at 5 mg/kg. This approach allowed us to measure both the real-time IgG uptake (I-125) and cumulative uptake of IgG and catabolites (In-111) in individual tissues up to 1 week post-injection. The PK and distribution of the wild-type IgG and the variant with enhanced binding for FcRn were largely similar to each other, but vastly different for the rapidly cleared low-FcRn-binding variant. Uptake in individual tissues varied across time, FcRn binding affinity, and radiolabeling method. The liver and spleen emerged as the most concentrated sites of IgG catabolism in the absence of FcRn protection. These data provide an increased understanding of FcRn’s role in antibody PK and catabolism at the tissue level.

A solid understanding of physiology is beneficial in optimizing drug delivery and in the development of clinically predictive models of drug disposition kinetics. Although an abundance of data exists in the literature, it is often confounded by the use of various experimental methods and a lack of consensus in values from different sources. To help address this deficiency, we sought to directly compare three important vascular parameters at the tissue level using the same experimental approach in both mice and rats. Interstitial volume, vascular volume, and blood flow were radiometrically measured in selected harvested tissues of both species by extracellular marker infusion, red blood cell labeling, and rubidium chloride bolus distribution, respectively. The latter two parameters were further compared by whole-body autoradiographic imaging. An overall good interspecies agreement was observed for interstitial volume and blood flow on a weight-normalized basis in most tissues. In contrast, the measured vascular volumes of most rat tissues were higher than for mouse. Mice and rats, the two most commonly utilized rodent species in translational drug development, should not be considered as interchangeable in terms of vascular volume per gram of tissue. This will be particularly critical in biodistribution studies of drugs, as the amount of drug in the residual blood of tissues is often not negligible, especially for biologic drugs (e.g., antibodies) having long circulation half-lives. Physiologically based models of drug pharmacokinetics and/or pharmacodynamics also rely on accurate knowledge of biological parameters in tissues. For tissue parameters with poor interspecies agreement, the significance and possible drivers are discussed.

The development of clinically relevant preclinical models that mimic the hallmarks of neurodegenerative disease is an ongoing pursuit in early drug development. In particular, robust physiological characterization of central nervous system (CNS) disease models is necessary to predict drug delivery to target tissues and to correctly interpret pharmacodynamic responses to disease-modifying therapeutic candidates. Efficient drug delivery across the blood-CNS barrier is a particularly daunting task, prompting our strategy to evaluate the biodistribution of five distinct molecular probes in a well-characterized mouse model of neurodegeneration. A transgenic mouse model of amyotrophic lateral sclerosis was selected based on a phenotype resembling clinical symptoms, including loss of motor neurons from the spinal cord and paralysis in one or more limbs, due to expression of a G93A mutant form of human superoxide dismutase (SOD1). The tissue distributions of two proteins, albumin and a representative immunoglobulin G antibody, as well as two blood flow markers, the lipophilic blood flow marker Ceretec (i.e., (99m)Tc-HMPAO) and the polar ionic tracer, rubidium-86 chloride ((86)RbCl), were measured following intravenous injection in SOD1(G93A) and age-matched control mice. The radiopharmaceutical TechneScan PYP was also used to measure the distribution of (99m)Tc-labeled red blood cells as a blood pool marker. Both the antibody and (86)Rb were able to cross the blood-spinal cord barrier in SOD1(G93A) mice to a greater extent than in control mice. Although the biodistribution patterns of antibody, albumin, and RBCs were largely similar, notable differences were detected in muscle and skin. Moreover, vastly different biodistribution patterns were observed for a lipophilic and polar perfusion agent, with SOD1(G93A) mutation resulting in reduced renal filtration rates for the former but not the latter. Overall, the multiprobe strategy provided an opportunity to efficiently collect an abundance of physiological information, including the degree and regional extent of blood-CNS barrier permeability, in a preclinical model of neurodegeneration.

A known limitation of iodine radionuclides for labeling and biological tracking of receptor targeted proteins is the tendency of iodotyrosine to rapidly diffuse from cells following endocytosis and lysosomal degradation. In contrast, radiometal-chelate complexes such as indium-111-1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid (In-111-DOTA) accumulate within target cells due to the residualizing properties of the polar, charged metal-chelate-amino acid adduct. Iodine radionuclides boast a diversity of nuclear properties and chemical means for incorporation, prompting efforts to covalently link radioiodine with residualizing molecules. Herein, we describe the Ugi-assisted synthesis of [I-125]HIP-DOTA, a 4-hydroxy-3-iodophenyl (HIP) derivative of DOTA, and demonstration of its residualizing properties in a murine xenograft model. Overall, this study displays the power of multicomponent synthesis to yield a versatile radioactive probe for antibodies across multiple therapeutic areas with potential applications in both preclinical biodistribution studies and clinical radioimmunotherapies.

1079 Objectives Iodine radionuclides boast a diversity of nuclear properties and chemical means for incorporation, prompting efforts to covalently link radioiodine with residualizing molecules. Overall, we sought to design a simple residualizing iodine probe while avoiding the use of peptide synthesis, carbohydrates, or lengthy synthetic routes. Methods A 4-hydroxy-3-iodophenyl derivative of DOTA (designated HIP-DOTA) was synthesized using a multicomponent Ugi strategy followed by radioiodination and conjugation to a thiol-containing version of trastuzumab (anti-HER2). The resulting radioimmunoconjugate was evaluated in a HER2-expressing murine xenograft model of breast cancer for blood pharmacokinetics and uptake in tumor and several tissues. Trastuzumab was also modified by the indirect Iodogen method of radioiodination for comparison. Results Radioiodination of the shelf compound 1 yielded [I-125]HIP-DOTA (2) with a 24% radiochemical yield, and the final radioimmunoconjugate was obtained with a 39% conjugation yield. At 3 days post-injection, [I-125]HIP-DOTA-trastuzumab demonstrated a 154% increase in tumor uptake and comparable blood exposure relative to tyrosine-labeled I-125-trastuzumab. Conclusions The novel residualizing iodine probe, HIP-DOTA, is potentially useful for targeted radioimmunotherapy of cancer, and may also benefit translational research efforts for antibodies across multiple therapeutic areas. Research Support All studies were funded by Genentech, a member of the Roche Group.

Modulating the binding affinities to IgE or changing the FcγR binding properties of anti-IgE antibodies offers an opportunity to enhance the therapeutic potential of anti-IgE antibodies, but the influence of increased affinity to IgE or reduced Fc effector function on the pharmacological properties of anti-IgE therapies remains unclear. Our studies were designed to characterize the pharmacokinetics, pharmacodynamics and immune-complex distribution of two high-affinity anti-IgE monoclonal antibodies, high-affinity anti-IgE antibody (HAE) 1 and 2, in mice and monkeys. HAE1, also known as PRO98498, is structurally similar to omalizumab (Xolair®), a humanized anti-IgE IgG1 marketed for the treatment of asthma, but differs by 9 amino acid changes in the complementarity-determining region resulting in a 23-fold improvement in affinity. HAE2 is similar to HAE1, but its Fc region was altered to reduce binding to Fcγ receptors. As expected given the decreased binding to Fcγ receptors, systemic exposure to pre-formed HAE2:IgE complexes in mice was greater (six-fold) and distribution to the liver lower (four-fold) compared with HAE1:IgE complexes. In monkeys, systemic exposure to HAE1 was similar to that previously observed for omalizumab in this species, but required comparatively lower serum drug concentrations to suppress free IgE levels. HAE2 treatment resulted in greater exposure and greater increase of total IgE, relative to HAE1, because of decreased clearance of HAE2:IgE complexes. Overall, these data suggest that increased binding affinity to IgE may provide a more effective therapeutic for asthma patients, and that retaining FcγR binding of the anti-IgE antibody is important for elimination of anti-IgE:IgE complexes.

AbstractBoth human epidermal growth factor receptor 2 (HER-2/neu) and VEGF overexpression correlate with aggressive phenotypes and decreased survival among breast cancer patients. Concordantly, the combination of trastuzumab (anti-HER2) with bevacizumab (anti-VEGF) has shown promising results in preclinical xenograft studies and in clinical trials. However, despite the known antiangiogenic mechanism of anti-VEGF antibodies, relatively little is known about their effects on the pharmacokinetics and tissue distribution of other antibodies. This study aimed to measure the disposition properties, with a particular emphasis on tumor uptake, of trastuzumab in the presence or absence of anti-VEGF. Radiolabeled trastuzumab was administered alone or in combination with an anti-VEGF antibody to mice bearing HER2-expressing KPL-4 breast cancer xenografts. Biodistribution, autoradiography, and single-photon emission computed tomography–X-ray computed tomography imaging all showed that anti-VEGF administration reduced accumulation of trastuzumab in tumors despite comparable blood exposures and similar distributions in most other tissues. A similar trend was also observed for an isotype-matched IgG with no affinity for HER2, showing reduced vascular permeability to macromolecules. Reduced tumor blood flow (P < 0.05) was observed following anti-VEGF treatment, with no significant differences in the other physiologic parameters measured despite immunohistochemical evidence of reduced vascular density. In conclusion, anti-VEGF preadministration decreased tumor uptake of trastuzumab, and this phenomenon was mechanistically attributed to reduced vascular permeability and blood perfusion. These findings may ultimately help inform dosing strategies to achieve improved clinical outcomes. Mol Cancer Ther; 11(3); 752–62. ©2012 AACR.

Molecular Imaging Probes for Cancer Research, pp. 1015-1039 (2012) No AccessMolecular Imaging in Cancer Drug DevelopmentC. Andrew Boswell, Daniela Bumbaca, Cinthia V. Pastuskovas, Eduardo E. Mundo, Ben Q. Shen, Richard A.D. Carano, Jan Marik, Simon P. Williams, Frank-Peter Theil, Paul J. Fielder, Nicholas van Bruggen, and Leslie A. KhawliC. Andrew BoswellPharmacokinetic and Pharmacodynamic Sciences, Genentech, Inc., South San Francisco, CA 94080, USA, Daniela BumbacaPharmacokinetic and Pharmacodynamic Sciences, Genentech, Inc., South San Francisco, CA 94080, USA, Cinthia V. PastuskovasPharmacokinetic and Pharmacodynamic Sciences, Genentech, Inc., South San Francisco, CA 94080, USA, Eduardo E. MundoPharmacokinetic and Pharmacodynamic Sciences, Genentech, Inc., South San Francisco, CA 94080, USA, Ben Q. ShenPharmacokinetic and Pharmacodynamic Sciences, Genentech, Inc., South San Francisco, CA 94080, USA, Richard A.D. CaranoBiomedical Imaging, Genentech, Inc., South San Francisco, CA 94080, USA, Jan MarikBiomedical Imaging, Genentech, Inc., South San Francisco, CA 94080, USA, Simon P. WilliamsBiomedical Imaging, Genentech, Inc., South San Francisco, CA 94080, USA, Frank-Peter TheilBiomedical Imaging, Genentech, Inc., South San Francisco, CA 94080, USA, Paul J. FielderPharmacokinetic and Pharmacodynamic Sciences, Genentech, Inc., South San Francisco, CA 94080, USA, Nicholas van BruggenBiomedical Imaging, Genentech, Inc., South San Francisco, CA 94080, USA, and Leslie A. KhawliPharmacokinetic and Pharmacodynamic Sciences, Genentech, Inc., South San Francisco, CA 94080, USACorresponding author.https://doi.org/10.1142/9789814293686_0033Cited by:1 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: The following sections are included: Introduction Preclinical Imaging Tools and Disease Models Imaging for the Study of Pharmacokinetics and Pharmacodynamics Cancer Imaging Endpoints Anatomical and Physiological Imaging Molecular Target-Specific Imaging Metabolic Imaging FDG Hypoxia Other metabolic probes Perspectives References FiguresReferencesRelatedDetailsCited By 1Labeling and Imaging Techniques for Quantification of Therapeutic BiologicsJulie K. Jang, David Canter, Peisheng Hu, Alan L. Epstein and Leslie A. Khawli30 December 2015 Molecular Imaging Probes for Cancer ResearchMetrics History PDF download

Monoclonal antibodies are increasingly being developed to treat multiple disease areas, including those related to oncology, immunology, neurology, and ophthalmology. There are multiple factors, such as charge, size, neonatal Fc receptor (FcRn) binding affinity, target affinity and biology, immunoglobulin G (IgG) subclass, degree and type of glycosylation, injection route, and injection site, that could affect the pharmacokinetics (PK) of these large macromolecular therapeutics, which in turn could have ramifications on their efficacy and safety. This minireview examines how characteristics of the antibodies could be altered to change their PK profiles. For example, it was observed that a net charge modification of at least a 1-unit shift in isoelectric point altered antibody clearance. Antibodies with enhanced affinity for FcRn at pH 6.0 display longer serum half-lives and slower clearances than wild type. Antibody fragments have different clearance rates and tissue distribution profiles than full length antibodies. Fc glycosylation is perceived to have a minimal effect on PK while that of terminal high mannose remains unclear. More investigation is warranted to determine if injection route and/or site impacts PK. Nonetheless, a better understanding of the effects of all these variations may allow for the better design of antibody therapeutics.