Modelling metastatic dynamics in breast cancer: an agent-based approach with BioDynaMo

Breast cancer (BC) is the leading cause of cancer-related deaths worldwide. One of the most critical factors affecting prognosis is the tumour cells’ ability to metastasize, particularly to the axillary lymph nodes (ALNs), which serve as a key pathway for cancer dissemination. Understanding the mechanisms that drive this metastatic spread is essential for improving early detection, treatment strategies, and patient outcomes. Cancer is a multicellular and spatial dynamic process involving complex interactions between tumour cells, immune cells, and the microenvironment. In this context, agent-based models offer a powerful framework for simulating such complex biological systems at the cellular level. Thus, this project proposes developing an agent-based model using BioDynaMo, a high-performance, open-source simulation platform, to perform multicellular spatial mapping of ALN metastasis in BC patients. By modelling the behaviour of individual cells and their interactions within a 3D environment, the project aims to provide new insights into breast tumour progression, immune response, and potential therapeutic strategies.

Supervisors: Alba Fischer, Jérôme Noailly