Literature DB >> 35416406

Pan-cancer analysis of mutations in open chromatin regions and their possible association with cancer pathogenesis.

Chie Kikutake1, Mikita Suyama1.   

Abstract

BACKGROUND: Open chromatin is associated with gene transcription. Previous studies have shown that the density of mutations in open chromatin regions is lower than that in flanking regions because of the higher accessibility of DNA repair machinery. However, in several cancer types, open chromatin regions show an increased local density of mutations in activated regulatory regions. Although the mutation distribution within open chromatin regions in cancer cells has been investigated, only few studies have focused on their functional implications in cancer. To reveal the impact of highly mutated open chromatin regions on cancer, we investigated the association between mutations in open chromatin regions and their possible functions.
METHODS: Whole-genome sequencing data of 18 cancer types were downloaded from the PanCancer Analysis of Whole Genomes and Catalog of Somatic Mutations in Cancer. We quantified the mutations located in open chromatin regions defined by The Cancer Genome Atlas and classified open chromatin regions into three categories based on the number of mutations. Then, we investigated the chromatin state, amplification, and possible target genes of the open chromatin regions with a high number of mutations. We also analyzed the association between the number of mutations in open chromatin regions and patient prognosis.
RESULTS: In some cancer types, the proportion of promoter or enhancer chromatin state in open chromatin regions with a high number of mutations was significantly higher than that in the regions with a low number of mutations. The possible target genes of open chromatin regions with a high number of mutations were more strongly associated with cancer than those of other open chromatin regions. Moreover, a high number of mutations in open chromatin regions was significantly associated with a poor prognosis in some cancer types.
CONCLUSIONS: These results suggest that highly mutated open chromatin regions play an important role in cancer pathogenesis and can be effectively used to predict patient prognosis.
© 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  TCGA; bioinformatics; cancer genetics; genomics; medical genetics

Mesh:

Substances:

Year:  2022        PMID: 35416406      PMCID: PMC9582691          DOI: 10.1002/cam4.4749

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.711


  54 in total

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2.  The NIH Roadmap Epigenomics Mapping Consortium.

Authors:  Bradley E Bernstein; John A Stamatoyannopoulos; Joseph F Costello; Bing Ren; Aleksandar Milosavljevic; Alexander Meissner; Manolis Kellis; Marco A Marra; Arthur L Beaudet; Joseph R Ecker; Peggy J Farnham; Martin Hirst; Eric S Lander; Tarjei S Mikkelsen; James A Thomson
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3.  Pan-cancer analysis of mutations in open chromatin regions and their possible association with cancer pathogenesis.

Authors:  Chie Kikutake; Mikita Suyama
Journal:  Cancer Med       Date:  2022-04-13       Impact factor: 4.711

4.  Genome-wide kinetics of DNA excision repair in relation to chromatin state and mutagenesis.

Authors:  Sheera Adar; Jinchuan Hu; Jason D Lieb; Aziz Sancar
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-28       Impact factor: 11.205

5.  Candidate Cancer Driver Mutations in Distal Regulatory Elements and Long-Range Chromatin Interaction Networks.

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Journal:  Mol Cell       Date:  2020-01-17       Impact factor: 17.970

6.  Tumor mutational and indel burden: a systematic pan-cancer evaluation as prognostic biomarkers.

Authors:  Hao-Xiang Wu; Zi-Xian Wang; Qi Zhao; Dong-Liang Chen; Ming-Ming He; Lu-Ping Yang; Ying-Nan Wang; Ying Jin; Chao Ren; Hui-Yan Luo; Zhi-Qiang Wang; Feng Wang
Journal:  Ann Transl Med       Date:  2019-11

7.  An atlas of active enhancers across human cell types and tissues.

Authors:  Robin Andersson; Claudia Gebhard; Michael Rehli; Albin Sandelin; Irene Miguel-Escalada; Ilka Hoof; Jette Bornholdt; Mette Boyd; Yun Chen; Xiaobei Zhao; Christian Schmidl; Takahiro Suzuki; Evgenia Ntini; Erik Arner; Eivind Valen; Kang Li; Lucia Schwarzfischer; Dagmar Glatz; Johanna Raithel; Berit Lilje; Nicolas Rapin; Frederik Otzen Bagger; Mette Jørgensen; Peter Refsing Andersen; Nicolas Bertin; Owen Rackham; A Maxwell Burroughs; J Kenneth Baillie; Yuri Ishizu; Yuri Shimizu; Erina Furuhata; Shiori Maeda; Yutaka Negishi; Christopher J Mungall; Terrence F Meehan; Timo Lassmann; Masayoshi Itoh; Hideya Kawaji; Naoto Kondo; Jun Kawai; Andreas Lennartsson; Carsten O Daub; Peter Heutink; David A Hume; Torben Heick Jensen; Harukazu Suzuki; Yoshihide Hayashizaki; Ferenc Müller; Alistair R R Forrest; Piero Carninci
Journal:  Nature       Date:  2014-03-27       Impact factor: 49.962

Review 8.  The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.

Authors:  Katarzyna Tomczak; Patrycja Czerwińska; Maciej Wiznerowicz
Journal:  Contemp Oncol (Pozn)       Date:  2015

9.  Genome-wide analysis of noncoding regulatory mutations in cancer.

Authors:  Nils Weinhold; Anders Jacobsen; Nikolaus Schultz; Chris Sander; William Lee
Journal:  Nat Genet       Date:  2014-09-28       Impact factor: 38.330

10.  Extrachromosomal DNA is associated with oncogene amplification and poor outcome across multiple cancers.

Authors:  Hoon Kim; Nam-Phuong Nguyen; Kristen Turner; Sihan Wu; Amit D Gujar; Jens Luebeck; Jihe Liu; Viraj Deshpande; Utkrisht Rajkumar; Sandeep Namburi; Samirkumar B Amin; Eunhee Yi; Francesca Menghi; Johannes H Schulte; Anton G Henssen; Howard Y Chang; Christine R Beck; Paul S Mischel; Vineet Bafna; Roel G W Verhaak
Journal:  Nat Genet       Date:  2020-08-17       Impact factor: 41.307

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  1 in total

1.  Pan-cancer analysis of mutations in open chromatin regions and their possible association with cancer pathogenesis.

Authors:  Chie Kikutake; Mikita Suyama
Journal:  Cancer Med       Date:  2022-04-13       Impact factor: 4.711

  1 in total

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