College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China.
Cancer Immunol Res. 2023 Sep 1;11(9):1159-1167. doi: 10.1158/2326-6066.CIR-22-0926.
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.
癌症免疫疗法的显著成功彻底改变了癌症治疗，强调了肿瘤-免疫相互作用在癌症演变和治疗中的重要性。肿瘤免疫编辑描述了肿瘤-免疫相互作用的双重效应：通过破坏肿瘤细胞抑制肿瘤生长，通过塑造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，开发用于衡量癌症免疫编辑程度的计算方法至关重要。在这篇综述中，我们全面概述了用于量化癌症免疫编辑的计算方法。我们专注于描述基本思想、计算过程、优点、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方法的不断改进，未来的研究将进一步帮助确定免疫在肿瘤发生中的作用，并有望为新的个性化癌症免疫治疗策略的设计提供依据。
