The interaction between immunotherapy and radiotherapy is complex and not yet fully understood. On one hand, combining these treatments can enhance anti-tumor immunity by increasing tumor antigen presentation and stimulating immune responses. On the other hand, radiotherapy can also lead to radiation-induced lymphopenia, depleting circulating lymphocytes and potentially compromising the effectiveness of immunotherapy. Understanding and optimizing this balance is crucial for improving treatment outcomes.
In our group, we use mathematical modeling to study this intricate interplay between the immune system and radiotherapy in cancer treatment. These models help us to understand comprehensive influence of RT on immune system, aiming to minimize the negative impact of radiotherapy on the immune system while maximizing the synergy between immunotherapy and radiation.

Specifically, we:

• develope a Predictive Biophysical Model to describe the combined effects of radiation therapy and immunotherapy on tumors.
• maintain a Database of Lymphocyte Count Dynamics during radiotherapy by systematically analyzing data from published studies.
• create a Biokinetic Model of Radiation-Induced Lymphopenia to better understand the depletion and recovery of lymphocytes during and after treatment.
• combine these tools to investigate lymphopenia and its relevance for radioimmunotherapy, in particular after radiotherapy with ions.