Mathematical model of immunomodulated tumor growth predicts responsiveness to immunotherapy
2017
Center of Cancer Systems Biology, Boston, USA
Immune response can both stimulate and inhibit tumor growth. The interplay between these competing influences of the immune system has complex implications for tumor development, cancer dormancy, and immunotherapies. The study builds a mathematical model able to predict non-intuitive yet clinically observed patterns of immunomodulated tumor growth. It may provide a means to help classify patient response dynamics to aid the identification of appropriate treatments exploiting immune response to improve tumor suppression, including the potential attainment of an immune-induced dormant state.
Modeling the dichotomy of the immune response to cancer: cytotoxic effects and tumor-promoting inflammation
Philip Hahnfeldt
Added on: 07-06-2021
[1] https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5611811/[2] https://data.jrc.ec.europa.eu/dataset/352f7dfd-05cf-434b-a96a-7e270dc76573
