TY - JOUR
T1 - A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples
AU - Cancer Genome Atlas Research Network
AU - Chen, Han
AU - Li, Chunyan
AU - Peng, Xinxin
AU - Zhou, Zhicheng
AU - Weinstein, John N
AU - Liang, Han
N1 - Copyright © 2018 The Authors. Published by Elsevier Inc. All rights reserved.
PY - 2018/4/5
Y1 - 2018/4/5
N2 - The role of enhancers, a key class of non-coding regulatory DNA elements, in cancer development has increasingly been appreciated. Here, we present the detection and characterization of a large number of expressed enhancers in a genome-wide analysis of 8928 tumor samples across 33 cancer types using TCGA RNA-seq data. Compared with matched normal tissues, global enhancer activation was observed in most cancers. Across cancer types, global enhancer activity was positively associated with aneuploidy, but not mutation load, suggesting a hypothesis centered on "chromatin-state" to explain their interplay. Integrating eQTL, mRNA co-expression, and Hi-C data analysis, we developed a computational method to infer causal enhancer-gene interactions, revealing enhancers of clinically actionable genes. Having identified an enhancer ∼140 kb downstream of PD-L1, a major immunotherapy target, we validated it experimentally. This study provides a systematic view of enhancer activity in diverse tumor contexts and suggests the clinical implications of enhancers.
AB - The role of enhancers, a key class of non-coding regulatory DNA elements, in cancer development has increasingly been appreciated. Here, we present the detection and characterization of a large number of expressed enhancers in a genome-wide analysis of 8928 tumor samples across 33 cancer types using TCGA RNA-seq data. Compared with matched normal tissues, global enhancer activation was observed in most cancers. Across cancer types, global enhancer activity was positively associated with aneuploidy, but not mutation load, suggesting a hypothesis centered on "chromatin-state" to explain their interplay. Integrating eQTL, mRNA co-expression, and Hi-C data analysis, we developed a computational method to infer causal enhancer-gene interactions, revealing enhancers of clinically actionable genes. Having identified an enhancer ∼140 kb downstream of PD-L1, a major immunotherapy target, we validated it experimentally. This study provides a systematic view of enhancer activity in diverse tumor contexts and suggests the clinical implications of enhancers.
KW - Aneuploidy
KW - B7-H1 Antigen/genetics
KW - Chromatin/genetics
KW - Databases, Genetic
KW - Enhancer Elements, Genetic/genetics
KW - Gene Expression Regulation, Neoplastic
KW - Humans
KW - Immunotherapy
KW - Neoplasms/genetics
KW - Sequence Analysis, RNA
KW - Survival Rate
UR - http://www.scopus.com/inward/record.url?scp=85044921094&partnerID=8YFLogxK
U2 - 10.1016/j.cell.2018.03.027
DO - 10.1016/j.cell.2018.03.027
M3 - Article
C2 - 29625054
SN - 0092-8674
VL - 173
SP - 386-399.e12
JO - Cell
JF - Cell
IS - 2
ER -