A Novel Pharmacodynamic Biomarker and Mechanistic Modeling Facilitate the Development of Tovetumab, a Monoclonal Antibody Directed Against Platelet-Derived Growth Factor Receptor Alpha, for Cancer Therapy.

Tovetumab (MEDI-575) is a fully human IgG2κ monoclonal antibody that specifically binds to human platelet-derived growth factor receptor alpha (PDGFRα) and blocks receptor signal transduction by PDGF ligands. The affinity of tovetumab determined using surface plasmon resonance technology and flow cytometry demonstrated comparable binding affinity for human and monkey PDGFRα. In single and repeat-dose monkey pharmacokinetic-pharmacodynamic (PK-PD) studies, tovetumab administration resulted in dose-dependent elevation of circulating levels of PDGF-AA, a member of the PDGF ligand family, due to displacement of PDGF-AA from PDGFRα by tovetumab and subsequent blockade of PDGFRα-mediated PDGF-AA degradation. As such, PDGF-AA accumulation is an indirect measurement of receptor occupancy and is a novel PD biomarker for tovetumab. The nonlinear PK of tovetumab and dose-dependent increase in circulating PDGF-AA profiles were well described by a novel mechanistic model, in which tovetumab and PDGF-AA compete for the binding to PDGFRα. To facilitate translational simulation, the internalization half-lives of PDGF-AA and tovetumab upon binding to PDGFRα were determined using confocal imaging to be 14 ± 4 min and 30 ± 8 min, respectively. By incorporating PDGFRα internalization kinetics, the model not only predicted the target receptor occupancy by tovetumab, but also the biologically active agonistic ligand-receptor complex. This work described a novel PD biomarker approach applicable for anti-receptor therapeutics and the first mechanistic model to delineate the in vivo tri-molecular system of a drug, its target receptor, and a competing endogenous ligand, which collectively have been used for optimal dose recommendation supporting clinical development of tovetumab.

Correlation of screening and confirmatory results in tiered immunogenicity testing by solution-phase bridging assays.

Biotherapeutic proteins induce undesired immune responses that can affect drug efficacy and safety. For this reason, immunogenicity assessment is an integral part of drug development and is mandated by the regulatory authorities. Immunogenicity is typically evaluated by a tiered approach consisting of a screening assay followed by a competitive inhibition with unlabeled drug serving as confirmatory assay and additional characterization of the immune response. The confirmatory assay is intended to reduce the number of false positive responses generated in the screening tier and ensure that all samples are correctly classified as positive or negative. The positive-negative sample decisions are based on screening and confirmatory assay cut points that are statistically derived through evaluation of drug-naive samples. In this paper, we describe the analysis of cut point data for the presence of statistical correlation between the screening and confirmatory results. Data were obtained from validations of solution-phase bridging assays for detection of anti-drug antibodies against monoclonal antibody therapeutics. All data sets showed moderate to strong positive correlation, indicating that the screening and confirmatory assays were not independent and were likely to generate similar information. We present theoretical evidence that correlated results may be a general feature of the tiered approach when the same test platform is used for both screening and confirmatory assays. The competitive inhibition test, therefore, may be of limited value beyond reduction of the overall false positive rate. Our results indicate that similar sample results could be obtained by using just the screening assay with the false positive rate set to 1%.

Translational strategies for development of monoclonal antibodies from discovery to the clinic.

Successful strategies for the development of monoclonal antibodies require integration of knowledge with respect to target antigen properties, antibody design criteria such as affinity, isotype selection, Fc domain engineering, PK/PD properties and antibody cross-reactivity across species from the early stages of antibody development. Biophysical measurements are one of the critical components necessary for the design of effective translational strategies for lead selection and evaluation of relevant animal species for preclinical safety and efficacy studies. Incorporation of effective translational strategies from the early stages of the antibody development process is a necessity; when considered it not only reduces development time and cost, but also fosters implementation of rational decision-making throughout all phases of antibody development.

Preclinical and clinical safety of monoclonal antibodies.

Owing to their unique specificity, monoclonal antibodies have provided a novel approach to the treatment of human diseases. Several types of antibodies against a diverse array of pharmacological targets have been marketed and many more are currently in clinical trials. Factors related to antigen expression, target pharmacology, and antibody effector functions can contribute to the adverse event profiles observed with monoclonal antibodies. Effective translation of information gained from preclinical research and safety studies into clinical development is a crucial step for successful development of monoclonal antibodies.