生物
免疫系统
神经母细胞瘤RAS病毒癌基因同源物
癌症
癌症研究
表观遗传学
FOXP3型
黑色素瘤
表观基因组
免疫学
克拉斯
基因
遗传学
基因表达
DNA甲基化
结直肠癌
作者
Vésteinn Thórsson,David L. Gibbs,Scott D. Brown,Denise M. Wolf,Dante S. Bortone,Tai-Hsien Ou Yang,Eduard Porta‐Pardo,Galen F. Gao,Christopher Plaisier,James A. Eddy,Elad Ziv,Aedín C. Culhane,Evan Paull,I.K. Ashok Sivakumar,Andrew J. Gentles,Raunaq Malhotra,Farshad Farshidfar,Antonio Colaprico,Joel S. Parker,Lisle E. Mose
出处
期刊:Immunity
[Cell Press]
日期:2018-04-01
卷期号:48 (4): 812-830.e14
被引量:4740
标识
DOI:10.1016/j.immuni.2018.03.023
摘要
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.
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