CONTACT US for more information
Syngeneic Models
The Key to Immuno-oncology
Syngeneic models represent a foundational tool in oncology research, particularly in the field of immuno-oncology. Unlike other models that use immunodeficient mice, syngeneic models are characterized by employing immunocompetent mice – meaning they have a fully functional immune system. In these models, murine (mouse-derived) tumor cell lines are implanted into a host mouse that shares an identical or very similar genetic background. This genetic similarity is crucial, as it allows the mouse’s immune system to recognize the tumor as «self» in a physiological context, without rejecting it.
Unraveling Tumor-Immune Interactions
The primary objective of syngeneic models is to closely simulate and study the dynamic interplay between the tumor and the host’s immune system. They enable researchers to investigate how the immune system responds to cancer, how the tumor can evade or suppress that response, and how various therapies, especially immunotherapies, can modulate this balance. By maintaining an immunologically active and relevant tumor microenvironment, these models are ideal for exploring resistance mechanisms and developing strategies to enhance anti-tumor responses.
Beyond Basic Efficacy Testing
Evaluating Immuno-modulatory Drug Responses
They are indispensable for testing the efficacy of immunotherapies (such as immune checkpoint inhibitors, monoclonal antibodies, cancer vaccines) and understanding their mechanisms of action in an environment where immunity plays an active role.
Studying Tumor-Immune Interactions and the Tumor Microenvironment
They allow for the dissection of the roles of different immune cell populations (T lymphocytes, NK cells, macrophages) in tumor progression or regression, as well as the analysis of the influence of non-cellular components of the microenvironment.
Optimizing Combination Therapy Testing
They facilitate the testing of combinations of immunotherapies with conventional treatments (chemotherapy, radiation therapy) or with other targeted therapies, seeking synergies that improve anti-tumor responses and overcome resistance.
Investigating Predictive Biomarkers
They help identify biomarkers that can predict response or resistance to immunotherapy, which is vital for personalized medicine.
