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计算方法在肿瘤免疫微环境特征分析中的应用。

Computational approaches for characterizing the tumor immune microenvironment.

机构信息

Immunology Graduate Program, School of Medicine, Stanford University, Stanford, CA, USA.

Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University, Stanford, CA, USA.

出版信息

Immunology. 2019 Oct;158(2):70-84. doi: 10.1111/imm.13101.

Abstract

Recent advances in high-throughput molecular profiling technologies and multiplexed imaging platforms have revolutionized our ability to characterize the tumor immune microenvironment. As a result, studies of tumor-associated immune cells increasingly involve complex data sets that require sophisticated methods of computational analysis. In this review, we present an overview of key assays and related bioinformatics tools for analyzing the tumor-associated immune system in bulk tissues and at the single-cell level. In parallel, we describe how data science strategies and novel technologies have advanced tumor immunology and opened the door for new opportunities to exploit host immunity to improve cancer clinical outcomes.

摘要

高通量分子分析技术和多指标成像平台的最新进展彻底改变了我们对肿瘤免疫微环境进行分析的能力。因此,与肿瘤相关免疫细胞的研究越来越多地涉及需要复杂计算分析方法的复杂数据集。在这篇综述中,我们介绍了用于分析批量组织和单细胞水平肿瘤相关免疫系统的关键检测方法和相关生物信息学工具概述。与此同时,我们还描述了数据科学策略和新技术如何推进肿瘤免疫学的发展,并为利用宿主免疫来改善癌症临床结果提供了新的机会。

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