Content posted to this wiki are contributions made by the IMAG research community.
Any questions or concerns should be directed to the individual authors. Full disclaimer statement found here

3D Hybrid Multi-scale Model of CRPC progression

What is being modeled?
The development of castration-resistant Prostate cancer
Description & purpose of resource

Prostate cancer (PCa) is the most commonly diagnosed malignancy and the second leading cause of cancer-related death in American men. Androgen deprivation therapy (ADT) has become a standard treatment strategy for advanced PCa. Although a majority of patients initially respond to ADT well, most of them will eventually develop castration-resistant PCa (CRPC). Previous studies suggest that ADT-induced changes in the immune microenvironment (mE) in PCa might be responsible for the failures of various therapies. However, the role of the immune system in CRPC development remains unclear. To systematically understand the immunity leading to CRPC progression and predict the optimal treatment strategy in silico, we developed a 3D Hybrid Multi-scale Model (HMSM), consisting of an ODE system and an agent-based model (ABM), to manipulate the tumor growth in a defined immune system. Based on our analysis, we revealed that the key factors (e.g. WNT5A, TRAIL, CSF1, etc.) mediated the activation of PC-Treg and PC-TAM interaction pathways, which induced the immunosuppression during CRPC progression. Our HMSM model also provided an optimal therapeutic strategy for improving the outcomes of PCa treatment.

Spatial scales
Temporal scales
weeks to months
This resource is currently
under early-stage development
a demonstration or a framework to be built upon (perhaps with a sample implementation)
Has this resource been validated?
Can this resource be associated with other resources? (e.g.: modular models, linked tools and platforms)
Key publications (e.g. describing or using resource)

Ji Z, Zhao W, Lin H-K, Zhou X (2019) Systematically understanding the immunity leading to CRPC progression. PLoS Comput Biol 15(9): e1007344. 

Xiaobo Zhou
PI contact information
Table sorting checkbox