The immune landscape of cancer
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Published version
Author(s)
Type
Journal Article
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.
Date Issued
2018-04-17
Date Acceptance
2018-03-21
Citation
Immunity, 2018, 48 (4), pp.812-830.e14
ISSN
1074-7613
Publisher
Elsevier
Start Page
812
End Page
830.e14
Journal / Book Title
Immunity
Volume
48
Issue
4
Copyright Statement
© 2018 The Authors. Published by Elsevier Inc.
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Sponsor
SAIC-F-Frederick, Inc
Leidos Biomedical Research, Inc.
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000430198900025&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Grant Number
TCGA Pilot Program
15Y011ST
Subjects
Science & Technology
Life Sciences & Biomedicine
Immunology
T-CELL-RECEPTOR
COMPREHENSIVE ANALYSIS
REGULATORY NETWORK
SOMATIC MUTATIONS
GENOMIC ANALYSES
SEQUENCING DATA
PREDICTION
REVEALS
CLASSIFICATION
INFORMATION
Publication Status
Published
Date Publish Online
2018-04-05