逃避(道德)
免疫系统
共同进化
免疫疗法
癌症
癌症免疫疗法
机制(生物学)
癌症治疗
计算生物学
生物
免疫学
计算机科学
医学
进化生物学
遗传学
哲学
认识论
作者
Jason T. George,Herbert Levine
标识
DOI:10.1016/j.trecan.2020.12.005
摘要
Cancer represents a diverse collection of diseases characterized by heterogeneous cell populations that dynamically evolve in their environment. As painfully evident in cases of treatment failure and recurrence, this general feature makes identifying long-term successful therapies difficult. It is now well-established that the adaptive immune system recognizes and eliminates cancer cells, and various immunotherapeutic strategies have emerged to augment this effect. These therapies, while promising, often fail as a result of immune-specific cancer evasion. Increasingly available empirical evidence details both cancer and immune system populations pre- and post-treatment, providing rich opportunity for mathematical models of the tumor-immune interaction and subsequent co-evolution. Integrated mathematical and experimental efforts bear immediate relevance for optimized therapies and will undoubtedly accelerate our understanding of this emergent field.
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