Literature DB >> 31078526

Identification of Cancer Drivers at CTCF Insulators in 1,962 Whole Genomes.

Eric Minwei Liu1, Alexander Martinez-Fundichely1, Bianca Jay Diaz2, Boaz Aronson3, Tawny Cuykendall1, Matthew MacKay4, Priyanka Dhingra1, Elissa W P Wong5, Ping Chi6, Effie Apostolou3, Neville E Sanjana2, Ekta Khurana7.   

Abstract

Recent studies have shown that mutations at non-coding elements, such as promoters and enhancers, can act as cancer drivers. However, an important class of non-coding elements, namely CTCF insulators, has been overlooked in the previous driver analyses. We used insulator annotations from CTCF and cohesin ChIA-PET and analyzed somatic mutations in 1,962 whole genomes from 21 cancer types. Using the heterogeneous patterns of transcription-factor-motif disruption, functional impact, and recurrence of mutations, we developed a computational method that revealed 21 insulators showing signals of positive selection. In particular, mutations in an insulator in multiple cancer types, including 16% of melanoma samples, are associated with TGFB1 up-regulation. Using CRISPR-Cas9, we find that alterations at two of the most frequently mutated regions in this insulator increase cell growth by 40%-50%, supporting the role of this boundary element as a cancer driver. Thus, our study reveals several CTCF insulators as putative cancer drivers.
Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CRISPR-Cas9; CTCF/cohesin insulators; TGF-β signaling; mutational signatures; non-coding drivers; pan-cancer analysis

Mesh:

Substances:

Year:  2019        PMID: 31078526      PMCID: PMC6917527          DOI: 10.1016/j.cels.2019.04.001

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  91 in total

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4.  Comprehensive genome-wide protein-DNA interactions detected at single-nucleotide resolution.

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Authors:  Dilmi Perera; Rebecca C Poulos; Anushi Shah; Dominik Beck; John E Pimanda; Jason W H Wong
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Journal:  Nature       Date:  2010-10-03       Impact factor: 49.962

8.  Analysis of genomic variation in non-coding elements using population-scale sequencing data from the 1000 Genomes Project.

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10.  Mutational signatures reveal the dynamic interplay of risk factors and cellular processes during liver tumorigenesis.

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Review 6.  Emerging themes in cohesin cancer biology.

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