@article{oai:kanazawa-u.repo.nii.ac.jp:00045107,
 author = {西山, 宣昭 and Nishiyama, Yoshiaki and Nishiyama, Nobuaki},
 journal = {The Science Reports of Kanazawa University, The Science Reports of Kanazawa University},
 month = {},
 note = {Very recently, we proposed an ordinary differential equation model incorporating promotion of regulatory T cell (Tregs) expansion by leukemic cells, which describes co-evolutional dynamics between leukemic and immune cells in progression of acute myeloid leukemia (AML). To evaluate the ability of our model to predict effectiveness of immunotherapy for AML, we performed Monte Carlo simulation of trajectories in phase plane and generated relapse free survival (RFS) curves, which could be compared with clinical data. The resulting RFS curves were in good accordance with clinical outcomes reported in immunotherapies of NK cells infusion with/without Tregs depletion. In addition, our simulation results focusing on consecutive cycles of cell infusion with/without cell depletion qualitatively accounts for the effectiveness of corresponding clinical immunotherapy. The present results suggest that our model may provide valuable information for future design of immunotherapy in AML.},
 pages = {25--38},
 title = {Modeling immunotherapy and outcomes in acute myeloid leukemia},
 volume = {61},
 year = {2017}
}