Predicting on-target, off-tumor toxicity of Solitomab, an EpCAM/CD3 BiTE


Applied BioMath Assess™ can be used to evaluate the risk of on-target, off-tumor toxicities for CD3 bispecific T-cell engagers and to make an early prediction about therapeutic index and projections of effective and tolerable doses for T-cell engagers in solid tumors. In this case study, we will demonstrate the ability to predict the on-target, off-tumor toxicity observed for solitomab. We will use this model to identify properties of tumor-associated antigens that could be more successfully targeted with a TCE. Furthermore, we will explore the feasibility of next generation T-cell engager molecules to enhance tissue selectivity leading to improved therapeutic index (TI).  We will explore this in the context of solitomab, an EpCAM/CD3 BiTE and focus on the following questions:

  • What is the dose at which we would predict on-target off-tumor toxicity for solitomab?
  • What difference in target expression between the tumor and the GI would be necessary for a TCE to have a reasonable therapeutic index?
  • Can we achieve tissue selectivity with a next generation T-cell engager design?


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