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The Immune Landscape of Cancer

  • The Cancer Genome Atlas Research Network
  • Institute for Systems Biology
  • BC Cancer
  • University of California at San Francisco
  • University of North Carolina at Chapel Hill
  • Columbia University
  • Barcelona Supercomputing Center
  • SBP Medical Discovery Institute
  • Department of Molecular Biology
  • Arizona State University
  • Sage Bionetworks
  • Dana-Farber Cancer Institute
  • Johns Hopkins University
  • Stanford University
  • Seven Bridges Genomics Inc
  • University of Calgary
  • Université libre de Bruxelles
  • University of Texas MD Anderson Cancer Center
  • Chan Soon-Shiong Institute of Molecular Medicine at Windber
  • Froedtert & Medical College of Wisconsin
  • Sidra Medical and Research Center
  • Cold Spring Harbor Laboratory
  • Henry Ford Health System
  • Universidade de São Paulo
  • University of Alabama at Birmingham
  • Van Andel Institute
  • Department of Biomedical Informatics
  • National Institutes of Health
  • Mount Sinai Hospital of University of Toronto
  • University of Washington

Research output: Contribution to journalArticlepeer-review

Abstract

We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we identified six immune subtypes—wound healing, IFN-γ dominant, inflammatory, lymphocyte depleted, immunologically quiet, and TGF-β dominant—characterized by differences in macrophage or lymphocyte signatures, Th1:Th2 cell ratio, extent of intratumoral heterogeneity, aneuploidy, extent of neoantigen load, overall cell proliferation, expression of immunomodulatory genes, and prognosis. Specific driver mutations correlated with lower (CTNNB1, NRAS, or IDH1) or higher (BRAF, TP53, or CASP8) leukocyte levels across all cancers. Multiple control modalities of the intracellular and extracellular networks (transcription, microRNAs, copy number, and epigenetic processes) were involved in tumor-immune cell interactions, both across and within immune subtypes. Our immunogenomics pipeline to characterize these heterogeneous tumors and the resulting data are intended to serve as a resource for future targeted studies to further advance the field. Thorsson et al. present immunogenomics analyses of more than 10,000 tumors, identifying six immune subtypes that encompass multiple cancer types and are hypothesized to define immune response patterns impacting prognosis. This work provides a resource for understanding tumor-immune interactions, with implications for identifying ways to advance research on immunotherapy.

Original languageEnglish
Pages (from-to)812-830.e14
JournalImmunity
Volume48
Issue number4
DOIs
Publication statusPublished - 17 Apr 2018
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • cancer genomics
  • immune subtypes
  • immuno-oncology
  • immunomodulatory
  • immunotherapy
  • integrative network analysis
  • tumor immunology
  • tumor microenvironment

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