Modeling tumor-immune interactions for immune cell therapy development
Explore six key considerations that can help you design preclinical models that better reflect tumor-immune interactions and support more interpretable immune cell therapy research.
As immune cell therapies move into more complex solid tumor settings, your model system needs to account for the biological factors that can influence therapeutic response. Model complexity, the tumor microenvironment, donor context, and the choice of functional readouts can all affect how you interpret your experimental results.
In this infographic, you'll learn how to:
- Match your model system to your therapeutic question and mechanism of action
- Choose the appropriate level of complexity, from 2D assays to 3D immune-tumor co-cultures
- Incorporate relevant components of the tumor microenvironment
- Account for donor variability and HLA context
- Select functional readouts that capture immune activity beyond tumor cell killing
- Reduce avoidable variability through more standardized model design