Cell
Volume 173, Issue 2, 5 April 2018, Pages 386-399.e12
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Article
A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples

https://doi.org/10.1016/j.cell.2018.03.027Get rights and content
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Highlights

  • Systematic analysis of enhancer expression across ∼9,000 samples of 33 cancer types

  • Global enhancer activation positively correlates with aneuploidy but not mutations

  • A computational method that infers causal enhancer-target-gene relationships

  • Enhancers as key regulators of therapeutic targets, including PD-L1

Summary

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.

Keywords

The Cancer Genome Atlas
pan-cancer analysis
enhancer expression
aneuploidy
mutation burden
prognostic markers
chromatin state
PD-L1 expression

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