Computational principles and practice for decoding immune contexture in the tumor microenvironment
Computational principles and practice for decoding immune contexture in the tumor microenvironment
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DOI：
10.1093/bib/bbaa075
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发表时间：
2021-05-01
影响因子：
9.5
通讯作者：
Sun，Jie
中科院分区：
文献类型：
--
作者：
Zhang，Zicheng;Bao，Siqi;Sun，Jie
肿瘤浸润免疫细胞（TIIC）已被认为是肿瘤微环境（TME）的重要组成部分，并对肿瘤发生以及结果和治疗（特别是免疫治疗）产生有利和不利的影响。对 TME 中免疫细胞成分的计算机辅助研究已成为更好地了解免疫系统与肿瘤之间相互作用的一个有前途的途径。在这项研究中，我们概述了数据源、计算方法和软件工具，以及它们在推断 TME 中肿瘤浸润免疫细胞组成方面的应用。与此同时，我们探讨了未来更准确定量免疫细胞浸润可能面临的前景和挑战。总之，我们的研究为临床和实验免疫学领域的科学家提供了一些指导，帮助他们寻找专用资源和更有效的工具，以加速阐明肿瘤免疫相互作用及其对精准免疫治疗的影响。
Tumor-infiltrating immune cells (TIICs) have been recognized as crucial components of the tumor microenvironment (TME) and induced both beneficial and adverse consequences for tumorigenesis as well as outcome and therapy (particularly immunotherapy). Computer-aided investigation of immune cell components in the TME has become a promising avenue to better understand the interplay between the immune system and tumors. In this study, we presented an overview of data sources, computational methods and software tools, as well as their application in inferring the composition of tumor-infiltrating immune cells in the TME. In parallel, we explored the future perspectives and challenges that may be faced with more accurate quantitative infiltration of immune cells in the future. Together, our study provides a little guide for scientists in the field of clinical and experimental immunology to look for dedicated resources and more competent tools for accelerating the unraveling of tumor-immune interactions with the implication in precision immunotherapy.