Computational principles and practice for decoding immune contexture in the tumor microenvironment. Issue 3 (3rd June 2020)

• Record Type: Journal Article
• Authors: Zhang, Zicheng; Bao, Siqi; Yan, Congcong; Hou, Ping; Zhou, Meng; Sun, Jie
• Is Part Of: Briefings in bioinformatics. Volume 22:Issue 3(2021)
• Publication Date: 2020-06-03
• Subjects: bioinformatics -- tumor microenvironment -- tumor-infiltrating immune cells -- immunoinformatics -- immunology; Genetics -- Data processing -- Periodicals; Molecular biology -- Data processing -- Periodicals; Genomes -- Data processing -- Periodicals; 572.80285
• DOI: 10.1093/bib/bbaa075
• Languages: English
• ISSNs: 1467-5463

Abstract

Abstract: 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.