研究动态
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癌症免疫编辑的计算量化。

Computational Quantification of Cancer Immunoediting.

发表日期:2023 Aug 03
作者: Kun Liu, Shengyuan He, Shangqin Sun, Xinxin Zhang, Yanzhen He, Fei Quan, Bo Pang, Yun Xiao
来源: Immunity & Ageing

摘要:

癌症免疫疗法的显著成功已经彻底改革了癌症治疗,强调了肿瘤免疫相互作用在癌症演变和治疗中的重要性。癌症免疫编辑描述了肿瘤免疫相互作用的双重效应:通过摧毁肿瘤细胞抑制肿瘤生长,通过形塑肿瘤免疫原性促进肿瘤逃逸。为了更好地理解肿瘤免疫相互作用,开发计算方法来衡量癌症免疫编辑的范围至关重要。在本综述中,我们全面概述了计算测量癌症免疫编辑的方法。我们着重描述了基本思想、计算过程、优势、局限性和影响因素。我们还总结了最近在量化癌症免疫编辑研究方面的进展,并强调了未来的研究方向。随着量化癌症免疫编辑的方法不断改进,未来的研究将进一步帮助定义免疫在肿瘤发生中的作用,并有望为新的个体化癌症免疫疗法策略的设计提供基础。©2023 American Association for Cancer Research.
The remarkable success of cancer immunotherapy has revolutionized cancer treatment, emphasizing the importance of tumor-immune interactions in cancer evolution and treatment. Cancer immunoediting describes the dual effect of tumor-immune interactions: inhibiting tumor growth by destroying tumor cells and facilitating tumor escape by shaping tumor immunogenicity. To better understand tumor-immune interactions, it is critical to develop computational methods to measure the extent of cancer immunoediting. In this review, we provide a comprehensive overview of the computational methods for quantifying cancer immunoediting. We focus on describing the basic ideas, computational processes, advantages, limitations, and influential factors. We also summarize recent advances in quantifying cancer immunoediting studies and highlight future research directions. As the methods for quantifying cancer immunoediting are continuously improved, future research will further help define the role of immunity in tumorigenesis and hopefully provide a basis for the design of new personalized cancer immunotherapy strategies.©2023 American Association for Cancer Research.