Literature DB >> 32188707

Noncoding Variants Connect Enhancer Dysregulation with Nuclear Receptor Signaling in Hematopoietic Malignancies.

Kailong Li1,2, Yuannyu Zhang1,2, Xin Liu1,2, Yuxuan Liu1,2, Zhimin Gu1,2, Hui Cao1,2, Kathryn E Dickerson1,2, Mingyi Chen3, Weina Chen3, Zhen Shao4, Min Ni1, Jian Xu5,2.   

Abstract

Mutations in protein-coding genes are well established as the basis for human cancer, yet how alterations within noncoding genome, a substantial fraction of which contain cis-regulatory elements (CRE), contribute to cancer pathophysiology remains elusive. Here, we developed an integrative approach to systematically identify and characterize noncoding regulatory variants with functional consequences in human hematopoietic malignancies. Combining targeted resequencing of hematopoietic lineage-associated CREs and mutation discovery, we uncovered 1,836 recurrently mutated CREs containing leukemia-associated noncoding variants. By enhanced CRISPR/dCas9-based CRE perturbation screening and functional analyses, we identified 218 variant-associated oncogenic or tumor-suppressive CREs in human leukemia. Noncoding variants at KRAS and PER2 enhancers reside in proximity to nuclear receptor (NR) binding regions and modulate transcriptional activities in response to NR signaling in leukemia cells. NR binding sites frequently colocalize with noncoding variants across cancer types. Hence, recurrent noncoding variants connect enhancer dysregulation with nuclear receptor signaling in hematopoietic malignancies. SIGNIFICANCE: We describe an integrative approach to identify noncoding variants in human leukemia, and reveal cohorts of variant-associated oncogenic and tumor-suppressive cis-regulatory elements including KRAS and PER2 enhancers. Our findings support a model in which noncoding regulatory variants connect enhancer dysregulation with nuclear receptor signaling to modulate gene programs in hematopoietic malignancies.See related commentary by van Galen, p. 646.This article is highlighted in the In This Issue feature, p. 627. ©2020 American Association for Cancer Research.

Entities:  

Year:  2020        PMID: 32188707      PMCID: PMC7196497          DOI: 10.1158/2159-8290.CD-19-1128

Source DB:  PubMed          Journal:  Cancer Discov        ISSN: 2159-8274            Impact factor:   39.397


  84 in total

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10.  Model-based analysis of ChIP-Seq (MACS).

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Journal:  Genome Biol       Date:  2008-09-17       Impact factor: 13.583

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Review 4.  Deregulation of enhancer structure, function, and dynamics in acute lymphoblastic leukemia.

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7.  Pan-cancer assessment of mutational landscape in intrinsically disordered hotspots reveals potential driver genes.

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Review 9.  CRISPR and transposon in vivo screens for cancer drivers and therapeutic targets.

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Review 10.  The Genome in a Three-Dimensional Context: Deciphering the Contribution of Noncoding Mutations at Enhancers to Blood Cancer.

Authors:  Llorenç Rovirosa; Alberto Ramos-Morales; Biola M Javierre
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