Antibodies Targeting Closely Adjacent or Minimally Overlapping Epitopes Can Displace One Another.

Here we describe how real-time label-free biosensors can be used to identify antibodies that compete for closely adjacent or minimally overlapping epitopes on their specific antigen via a mechanism of antibody displacement. By kinetically perturbing one another's binding towards their antigen via the formation of a transient trimolecular complex, antibodies can displace one another in a fully reversible and dose-dependent manner. Displacements can be readily identified when epitope binning assays are performed in a classical sandwich assay format whereby a solution antibody (analyte) is tested for binding to its antigen that is first captured via an immobilized antibody (ligand) because an inverted sandwiching response is observed when an analyte displaces a ligand, signifying the antigen's unusually rapid dissociation from its ligand. In addition to classifying antibodies within a panel in terms of their ability to block or sandwich pair with one another, displacement provides a hybrid mechanism of competition. Using high-throughput epitope binning studies we demonstrate that displacements can be observed on any target, if the antibody panel contains appropriate epitope diversity. Unidirectional displacements occurring between disparate-affinity antibodies can generate apparent asymmetries in a cross-blocking experiment, confounding their interpretation. However, examining competition across a wide enough concentration range will often reveal that these displacements are reversible. Displacement provides a gentle and efficient way of eluting antigen from an otherwise high affinity binding partner which can be leveraged in designing reagents or therapeutic antibodies with unique properties.

Specific inhibition of Notch1 signaling enhances the antitumor efficacy of chemotherapy in triple negative breast cancer through reduction of cancer stem cells.

Recent evidence suggests that Notch signaling may play a role in regulation of cancer stem cell (CSC) self-renewal and differentiation hence presenting a promising target for development of novel therapies for aggressive cancers such as triple negative breast cancer (TNBC). We generated Notch1 monoclonal antibodies (mAbs) that specifically bind to the negative regulatory region of human Notch1. Notch1 inhibition in TNBC Sum149 and patient derived xenograft (PDX) 144580 models led to significant TGI particularly in combination with docetaxel. More interestingly, Notch1 mAbs caused a reduction in mammosphere formation and CD44+/CD24-/lo cell population. It also resulted in decreased tumor incidence upon re-implantation and delay in tumor recurrence. Our data demonstrated a potent antitumor efficacy of Notch1 mAbs, with a remarkable activity against CSCs. These findings suggest that anti-Notch1 mAbs may provide novel therapies to improve the efficacy of conventional therapies by directly targeting the CSC niche. They may also delay tumor recurrence and hence have a major impact on cancer patient survival.

Label-free epitope binning assays of monoclonal antibodies enable the identification of antigen heterogeneity.

Label-free biosensors are often used in the discovery of therapeutic antibodies to characterize the epitope binding regions of a panel of monoclonal antibodies that target a specific antigen, thus facilitating their organization into epitope groups or "bins". When tested in a pairwise combinatorial manner, two antibodies that compete with one another for binding to a specific antigen may be grouped into the same epitope bin - that is, they recognize similar or overlapping epitopes - whereas two antibodies that bind simultaneously to the antigen are placed into different epitope bins. However, depending on the assay format used, results from such experiments can sometimes contradict one another. Here, we provide two examples that illustrate how antigen heterogeneity, either inherent in an antigen sample, or induced by the assay conditions, can confound the interpretation of epitope binning results and, in some cases, lead to erroneous conclusions. We highlight why assays that employ solution antigen are often more reliable than those that employ immobilized antigen and, by corroborating our binning results with assays that utilize native antigen, we determine which subpopulations of our heterogeneous antigen samples are biologically relevant and thus improve the correlation between epitope bins and functional activity. Furthermore, we provide recommendations for performing definitive binning assays and a diagnostic assay procedure that can be followed when antigen heterogeneity is suspected.

Exploring the dynamic range of the kinetic exclusion assay in characterizing antigen-antibody interactions.

Therapeutic antibodies are often engineered or selected to have high on-target binding affinities that can be challenging to determine precisely by most biophysical methods. Here, we explore the dynamic range of the kinetic exclusion assay (KinExA) by exploiting the interactions of an anti-DKK antibody with a panel of DKK antigens as a model system. By tailoring the KinExA to each studied antigen, we obtained apparent equilibrium dissociation constants (K(D) values) spanning six orders of magnitude, from approximately 100 fM to 100 nM. Using a previously calibrated antibody concentration and working in a suitable concentration range, we show that a single experiment can yield accurate and precise values for both the apparent K(D) and the apparent active concentration of the antigen, thereby increasing the information content of an assay and decreasing sample consumption. Orthogonal measurements obtained on Biacore and Octet label-free biosensor platforms further validated our KinExA-derived affinity and active concentration determinations. We obtained excellent agreement in the apparent affinities obtained across platforms and within the KinExA method irrespective of the assay orientation employed or the purity of the recombinant or native antigens.

The application of target information and preclinical pharmacokinetic/pharmacodynamic modeling in predicting clinical doses of a Dickkopf-1 antibody for osteoporosis.

PF-04840082 is a humanized prototype anti-Dickkopf-1 (Dkk-1) immunoglobulin isotype G(2) (IgG(2)) antibody for the treatment of osteoporosis. In vitro, PF-04840082 binds to human, monkey, rat, and mouse Dkk-1 with high affinity. After administration of PF-04840082 to rat and monkey, free Dkk-1 concentrations decreased rapidly and returned to baseline in a dose-dependent manner. In rat and monkey, PF-04840082 exhibited nonlinear pharmacokinetics (PK) and a target-mediated drug disposition (TMDD) model was used to characterize PF-04840082 versus Dkk-1 concentration response relationship. PK/pharmacodynamic (PK/PD) modeling enabled estimation of antibody non-target-mediated elimination, Dkk-1 turnover, complex formation, and complex elimination. The TMDD model was translated to human to predict efficacious dose and minimum anticipated biological effect level (MABEL) by incorporating information on typical IgG(2) human PK, antibody-target association/dissociation rates, Dkk-1 expression, and turnover rates. The PK/PD approach to MABEL was compared with the standard "no adverse effect level" (NOAEL) approach to calculating clinical starting doses and a pharmacological equilibrium method. The NOAEL method gave estimates of dose that were too high to ensure safety of clinical trials. The pharmacological equilibrium approach calculated receptor occupancy (RO) based on equilibrium dissociation constant alone and did not take into account rate of turnover of the target or antibody-target complex kinetics and, as a result, it likely produced a substantial overprediction of RO at a given dose. It was concluded that the calculation of MABEL according to the TMDD model was the most appropriate means for ensuring safety and efficacy in clinical studies.

Community consultation and communication for a population-based DNA biobank: the Marshfield clinic personalized medicine research project.

The purpose of this article is to describe community consultation and communication efforts for the Personalized Medicine Research Project (PMRP), a population-based biobank. A series of focus group discussions was held in the year preceding initial recruitment efforts with potentially eligible community residents and slightly less than a year after initial recruitment with eligible residents who had declined participation in PMRP. A Community Advisory Group, with 19 members reflecting the demographics of the eligible community, was formed and meets twice yearly to provide advice and feedback to the PMRP Principal Investigator and the local IRB. Ongoing communication with study subjects, who consent on the condition that personal genetic results will not be disclosed, takes place through a newsletter that is distributed twice yearly, community talks and media coverage. Most focus group participants were concerned about the confidentiality of both their medical and genetic data. Focus group discussions with eligible residents who elected not to participate in PMRP revealed that many knew very little about the project, but thought that too much information had been provided, leading them to believe that it would take too long for them to understand and enroll in the study. In conclusion, an engaged community advisory group can provide a sounding board to study investigators for many study issues and can provide guidance for broader communication activities. Researchers need to balance the provision of information for potential subjects to make informed decisions about study participation, with respect for individuals' time to read and interpret study materials.