School of Biomedical Engineering, Wenzhou Medical University.
Brief Bioinform. 2021 May 20;22(3). doi: 10.1093/bib/bbaa075.
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.
肿瘤浸润免疫细胞（TIICs）已被认为是肿瘤微环境（TME）的关键组成部分，它们对肿瘤的发生、结局和治疗（特别是免疫治疗）产生了有益和不利的影响。计算机辅助研究 TME 中的免疫细胞成分已成为更好地理解免疫系统与肿瘤相互作用的有前途的途径。在这项研究中，我们概述了数据来源、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。同时，我们探讨了未来可能面临的未来展望和挑战，以便更准确地定量浸润免疫细胞。总的来说，我们的研究为临床和实验免疫学领域的科学家提供了一个小指南，以寻找专门的资源和更有能力的工具，加速解开肿瘤免疫相互作用的奥秘，为精准免疫治疗提供启示。
