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We introduce a mathematical mannequin of the cancer-immunity cycle and use it to check a number of hypotheses concerning the mix, timing, and optimization related to chemotherapy and immunotherapy dosing schedules within the context of competitors and time-dependent choice strain. A key concept is the worth of synchronizing the dosing schedules with the basic interval of the cancer-immunity cycle. The rivals within the inhabitants dynamics evolutionary recreation are the most cancers cells, wholesome (regular) cells, and T cells, which conceptually kind a nontransitive rock-paper-scissor chain. The chemotherapy and immunotherapy dosing schedules every act as management capabilities whose timing and magnitudes we synchronize with the basic interval of the underlying nonlinear dynamical system. With the mannequin, we present amongst different extra detailed outcomes, that chemotherapy and immunotherapy pulse-dosing schedules don’t commute; the very best period of the chemotherapy is one-quarter of the cancer-immunity cycle, whereas for immunotherapy it’s one-half cycle; immunotherapy dosing ought to precede chemotherapy dosing and final twice as lengthy. A common conclusion is that optimized timing of the dosing schedules could make up for decrease whole dose, opening up new potentialities for designing much less poisonous and extra efficacious dosing regimens with medication presently in use. Obtaining and calibrating extra correct measurements of the cycle-period throughout affected person populations could be an essential step in making a few of these concepts clinically actionable.
Keywords:
cancer-immunity cycle; evolutionary video games; suggestions loops; optimum management idea; synchronization.
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https://pubmed.ncbi.nlm.nih.gov/40779253/%3Futm_source%3DSimplePie%26utm_medium%3Drss%26utm_campaign%3Dpubmed-2%26utm_content%3D1bAXfGTh08tVk-e1kpwuqxoVfiUn_5olMN9ewCML2bdAMGPEOD%26fc%3D20220524054416%26ff%3D20250808125932%26v%3D2.18.0.post9%2Be462414
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