Literature DB >> 27174533

A Significant Regulatory Mutation Burden at a High-Affinity Position of the CTCF Motif in Gastrointestinal Cancers.

Husen M Umer1, Marco Cavalli2, Michal J Dabrowski3, Klev Diamanti1, Marcin Kruczyk1, Gang Pan2, Jan Komorowski1,3, Claes Wadelius2.   

Abstract

Somatic mutations drive cancer and there are established ways to study those in coding sequences. It has been shown that some regulatory mutations are over-represented in cancer. We develop a new strategy to find putative regulatory mutations based on experimentally established motifs for transcription factors (TFs). In total, we find 1,552 candidate regulatory mutations predicted to significantly reduce binding affinity of many TFs in hepatocellular carcinoma and affecting binding of CTCF also in esophagus, gastric, and pancreatic cancers. Near mutated motifs, there is a significant enrichment of (1) genes mutated in cancer, (2) tumor-suppressor genes, (3) genes in KEGG cancer pathways, and (4) sets of genes previously associated to cancer. Experimental and functional validations support the findings. The strategy can be applied to identify regulatory mutations in any cell type with established TF motifs and will aid identifications of genes contributing to cancer.
© 2016 WILEY PERIODICALS, INC.

Entities:  

Keywords:  CTCF; WGS; driver mutations; motifs; mutated binding sites; noncoding regulatory regions; whole-genome sequencing

Mesh:

Substances:

Year:  2016        PMID: 27174533     DOI: 10.1002/humu.23014

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  21 in total

1.  Predicting the effects of SNPs on transcription factor binding affinity.

Authors:  Sierra S Nishizaki; Natalie Ng; Shengcheng Dong; Robert S Porter; Cody Morterud; Colten Williams; Courtney Asman; Jessica A Switzenberg; Alan P Boyle
Journal:  Bioinformatics       Date:  2020-01-15       Impact factor: 6.937

2.  CTCF binding modulates UV damage formation to promote mutation hot spots in melanoma.

Authors:  Smitha Sivapragasam; Bastian Stark; Amanda V Albrecht; Kaitlynne A Bohm; Peng Mao; Raymond G Emehiser; Steven A Roberts; Patrick J Hrdlicka; Gregory M K Poon; John J Wyrick
Journal:  EMBO J       Date:  2021-09-06       Impact factor: 14.012

3.  Functional analysis of the 1p34.3 risk locus implicates GNL2 in high-grade serous ovarian cancer.

Authors:  Koji Nakamura; Brett M Reid; Ann Chen; Zhihua Chen; Ellen L Goode; Jennifer B Permuth; Jamie K Teer; Jonathan Tyrer; Xiaoqing Yu; Peter A Kanetsky; Paul D Pharoah; Simon A Gayther; Thomas A Sellers; Kate Lawrenson; Florian A Karreth
Journal:  Am J Hum Genet       Date:  2021-12-28       Impact factor: 11.043

Review 4.  CTCF and CTCFL in cancer.

Authors:  Roxanne E Debaugny; Jane A Skok
Journal:  Curr Opin Genet Dev       Date:  2020-04-22       Impact factor: 5.578

Review 5.  Non-coding driver mutations in human cancer.

Authors:  Kerryn Elliott; Erik Larsson
Journal:  Nat Rev Cancer       Date:  2021-07-06       Impact factor: 60.716

6.  CTCF driven TERRA transcription facilitates completion of telomere DNA replication.

Authors:  Kate Beishline; Olga Vladimirova; Stephen Tutton; Zhuo Wang; Zhong Deng; Paul M Lieberman
Journal:  Nat Commun       Date:  2017-12-13       Impact factor: 14.919

7.  Unveiling new interdependencies between significant DNA methylation sites, gene expression profiles and glioma patients survival.

Authors:  Michal J Dabrowski; Michal Draminski; Klev Diamanti; Karolina Stepniak; Magdalena A Mozolewska; Paweł Teisseyre; Jacek Koronacki; Jan Komorowski; Bozena Kaminska; Bartosz Wojtas
Journal:  Sci Rep       Date:  2018-03-13       Impact factor: 4.379

8.  Mutation hotspots at CTCF binding sites coupled to chromosomal instability in gastrointestinal cancers.

Authors:  Yu Amanda Guo; Mei Mei Chang; Weitai Huang; Wen Fong Ooi; Manjie Xing; Patrick Tan; Anders Jacobsen Skanderup
Journal:  Nat Commun       Date:  2018-04-18       Impact factor: 14.919

9.  Predicting pathogenic non-coding SVs disrupting the 3D genome in 1646 whole cancer genomes using multiple instance learning.

Authors:  Marleen M Nieboer; Luan Nguyen; Jeroen de Ridder
Journal:  Sci Rep       Date:  2021-07-13       Impact factor: 4.379

10.  Functional annotation of noncoding mutations in cancer.

Authors:  Husen M Umer; Karolina Smolinska; Jan Komorowski; Claes Wadelius
Journal:  Life Sci Alliance       Date:  2021-07-19
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