定义癌症免疫能力的模拟策略
Defining a Simulation Strategy for Cancer Immunocompetence
摘要：
虽然有各种类型的癌症治疗方法，但目前这些方法都没有考虑到免疫系统老化的影响，因此改变了对癌症的反应。最近的研究表明，体外刺激T细胞可以帮助治疗患者。在模拟生物体的免疫活性时，必须考虑许多因素。我们特别感兴趣的是随着年龄的免疫功能丧失的研究。我们试图回答这样的问题：给定一定年龄的患者，他们的免疫系统是否适合对抗癌症？考虑到患者的免疫表型和年龄，免疫增强是否会提高癌症治疗的有效性？我们相信，通过计算机模拟了解免疫系统老化和退化的过程可能有助于回答这些问题。具体来说，我们决定研究幼稚T细胞数量随年龄的变化，因为它们在对癌症和抗肿瘤疫苗接种的反应中起着重要作用。在这项工作中，我们提出了一个基于代理的模拟模型，以了解随着时间的推移影响幼稚T细胞群体的相互作用。我们的代理模型是基于现有的数学系统动态模型，但相比之下，提供了更好的范围定制和详细的分析。我们相信，所获得的结果可以在未来帮助肿瘤内T细胞群的建模。
英文摘要：
Although there are various types of cancer treatments, none of these currently take into account the effect of ageing of the immune system and hence altered responses to cancer. Recent studies have shown that in vitro stimulation of T cells can help in the treatment of patients. There are many factors that have to be considered when simulating an organism's immunocompetence. Our particular interest lies in the study of loss of immunocompetence with age. We are trying to answer questions such as: Given a certain age of a patient, how fit is their immune system to fight cancer? Would an immune boost improve the effectiveness of a cancer treatment given the patient's immune phenotype and age? We believe that understanding the processes of immune system ageing and degradation through computer simulation may help in answering these questions. Specifically, we have decided to look at the change in numbers of naive T cells with age, as they play a important role in responses to cancer and anti-tumour vaccination. In this work we present an agent-based simulation model to understand the interactions which influence the naive T cell populations over time. Our agent model is based on existing mathematical system dynamic model, but in comparisons offers better scope for customisation and detailed analysis. We believe that the results obtained can in future help with the modelling of T cell populations inside tumours.
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