Computational approaches for characterizing the tumor immune microenvironment

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.

Keywords: bioinformatics; cancer genomics; tumor immunology; tumor microenvironment.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Antigens, Neoplasm / genetics
  • Antigens, Neoplasm / immunology*
  • Atlases as Topic
  • Computational Biology / methods*
  • Flow Cytometry / methods
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic / immunology*
  • Humans
  • Immune System / immunology
  • Immune System / pathology
  • Internet
  • Lymphocytes, Tumor-Infiltrating / immunology
  • Lymphocytes, Tumor-Infiltrating / pathology
  • Molecular Imaging / methods
  • Neoplasms / genetics
  • Neoplasms / immunology*
  • Neoplasms / pathology
  • Single-Cell Analysis / methods
  • Software*
  • Tumor Microenvironment / genetics
  • Tumor Microenvironment / immunology*

Substances

  • Antigens, Neoplasm