Modeling combination chemo‐immunotherapy for heterogeneous tumors
Hypermutable cancers create opportunities for the development of various immunotherapies, such as immune checkpoint blockade (ICB) therapy. However, emergent studies have revealed that many hypermutated tumors have poor prognosis due to heterogeneous tumor antigen landscapes, yet the underlying mechanisms remain poorly understood. To understand the mechanisms that govern the responses to therapies, we develop mathematical models to explore the impact of combining chemotherapy and ICB therapy on heterogeneous tumors. Our results uncover how chemotherapy reduces antigenic heterogeneity, creating improved immunological conditions within tumors, which, in turn, enhances the therapeutic effect when combined with ICB. Furthermore, our results show that the recovery of the immune system after chemotherapy is crucial for enhancing the response to chemo-ICB combination therapy.
Authors
- Da Zhou (ORCID: https://orcid.org/0000-0002-0272-6644)
- Zheng Hu (ORCID: https://orcid.org/0000-0003-1552-0060)
- Shaoqing Chen (ORCID: https://orcid.org/0000-0002-4890-512X)
Institutions
- Xiamen University (CN)
- Shenzhen Institutes of Advanced Technology (CN)
Publication Details
- Journal
- Quantitative Biology
- Published
- 2025-03-14
- DOI
- https://doi.org/10.1002/qub2.98
- Citations
- 1
- Primary Topic
- Immunotherapy and Immune Responses
- Type
- article
- Field-Weighted Citation Impact
- 0.80
Funders
- National Natural Science Foundation of China
- Central University Basic Research Fund of China
- Basic and Applied Basic Research Foundation of Guangdong Province