Background

Immunogenicity, the propensity of a product to elicit an immune response to itself or related structures, has the potential to reduce or eliminate the therapeutic benefit it is intended to provide, and may even lead to adverse clinical events. Because of its potential impact on safety and efficacy of therapeutic protein products, evaluation of a product’s immunogenicity is required by regulatory authorities (e.g. FDA and EMA). However, the predictive value of animal studies is low, and because immunogenicity can be based on product-, treatment- and patient-specific factors, evaluation of a product’s immunogenicity risk can be challenging to accurately assess prior to or even during clinical trials. In some cases, a product’s immunogenicity may not be fully known until after it has been approved and used in larger patient populations over extended periods of time. There is an unmet need for a reliable tool that can be used to more accurately predict both the likelihood and level of clinical immunogenicity prior to administration in human subjects.

Technology Overview

This University at Buffalo invention provides a tool that enables reliable measurement and prediction of a therapeutic protein’s immunogenic potential based on mechanism-based markers, including those specific to its route of administration, namely via the subcutaneous route. The tool provides a stimulation index as well as an indication of immune cell migratory potential, both of which can be measured against a control and compared to those of approved therapeutic proteins. To date, the tool has been demonstrated with five proteins, including adalimumab (Humira™), emicizumab (Hemlibra™) and the SARS-CoV-2 spike subunit 1 ‘S1’ protein, and the relative immunogenicity of each reflects that seen in the clinic.

Stage of Development

In vitro.

Benefits

Ability to predict clinical immunogenic response prior to administration in a human subject
Provides mechanistic insights into the driver(s) of immunogenicity
Can be generalized to a patient population or tailored to predict immunogenicity on a subject-by-subject basis

Applications

Biomedical Research
Drug and Vaccine Development
Personalized Medicine

Opportunity

Available for licensing or collaboration.

Tool for Predicting Clinical Immunogenicity

Patents

IP Status

Seeking