Three-dimensional genome landscape of primary human cancers

IF 31.7 1区 生物学 Q1 GENETICS & HEREDITY
Kathryn E. Yost, Yanding Zhao, King L. Hung, Kaiyuan Zhu, Duo Xu, M. Ryan Corces, Shadi Shams, Bryan H. Louie, Shahab Sarmashghi, Laksshman Sundaram, Jens Luebeck, Stanley Clarke, Ashley S. Doane, Jeffrey M. Granja, Hani Choudhry, Marcin Imieliński, Andrew D. Cherniack, Ekta Khurana, Vineet Bafna, Ina Felau, Jean C. Zenklusen, Peter W. Laird, Christina Curtis, Cancer Genome Atlas Analysis Network, William J. Greenleaf, Howard Y. Chang
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Abstract

Genome conformation underlies transcriptional regulation by distal enhancers, and genomic rearrangements in cancer can alter critical regulatory interactions. Here we profiled the three-dimensional genome architecture and enhancer connectome of 69 tumor samples spanning 15 primary human cancer types from The Cancer Genome Atlas. We discovered the following three archetypes of enhancer usage for over 100 oncogenes across human cancers: static, selective gain or dynamic rewiring. Integrative analyses revealed the enhancer landscape of noncancer cells in the tumor microenvironment for genes related to immune escape. Deep whole-genome sequencing and enhancer connectome mapping provided accurate detection and validation of diverse structural variants across cancer genomes and revealed distinct enhancer rewiring consequences from noncoding point mutations, genomic inversions, translocations and focal amplifications. Extrachromosomal DNA promoted more extensive enhancer rewiring among several types of focal amplification mechanisms. These results suggest a systematic approach to understanding genome topology in cancer etiology and therapy. This study characterizes the three-dimensional (3D) genome architecture of 15 primary human cancer types from The Cancer Genome Atlas. The analyses identify different archetypes of enhancer usage and enhancer rewiring events due to different classes of mutations and structural variants.

Abstract Image

原发性人类癌症的三维基因组图谱
基因组构象是远端增强子转录调控的基础,癌症中的基因组重排可以改变关键的调控相互作用。在这里,我们分析了来自癌症基因组图谱的69个肿瘤样本的三维基因组结构和增强子连接组,涵盖15种原发性人类癌症类型。我们发现了人类癌症中超过100种致癌基因的增强子使用的以下三种原型:静态,选择性增益或动态重新布线。综合分析揭示了肿瘤微环境中与免疫逃逸相关基因的非癌细胞增强子景观。深度全基因组测序和增强子连接组图谱提供了癌症基因组中不同结构变异的准确检测和验证,并揭示了非编码点突变、基因组倒置、易位和焦点扩增等不同的增强子重接线后果。染色体外DNA在几种类型的病灶扩增机制中促进了更广泛的增强子重新布线。这些结果提示了一种系统的方法来理解癌症病因学和治疗中的基因组拓扑。
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来源期刊
Nature genetics
Nature genetics 生物-遗传学
CiteScore
43.00
自引率
2.60%
发文量
241
审稿时长
3 months
期刊介绍: Nature Genetics publishes the very highest quality research in genetics. It encompasses genetic and functional genomic studies on human and plant traits and on other model organisms. Current emphasis is on the genetic basis for common and complex diseases and on the functional mechanism, architecture and evolution of gene networks, studied by experimental perturbation. Integrative genetic topics comprise, but are not limited to: -Genes in the pathology of human disease -Molecular analysis of simple and complex genetic traits -Cancer genetics -Agricultural genomics -Developmental genetics -Regulatory variation in gene expression -Strategies and technologies for extracting function from genomic data -Pharmacological genomics -Genome evolution
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