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The multi-omic landscape of transcription factor inactivation in cancer

BACKGROUND: Hypermethylation of transcription factor promoters bivalently marked in stem cells is a cancer hallmark. However, the biological significance of this observation for carcinogenesis is unclear given that most of these transcription factors are not expressed in any given normal tissue. MET...

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Autores principales: Teschendorff, Andrew E., Zheng, Shijie C., Feber, Andy, Yang, Zhen, Beck, Stephan, Widschwendter, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997779/
https://www.ncbi.nlm.nih.gov/pubmed/27562343
http://dx.doi.org/10.1186/s13073-016-0342-8
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author Teschendorff, Andrew E.
Zheng, Shijie C.
Feber, Andy
Yang, Zhen
Beck, Stephan
Widschwendter, Martin
author_facet Teschendorff, Andrew E.
Zheng, Shijie C.
Feber, Andy
Yang, Zhen
Beck, Stephan
Widschwendter, Martin
author_sort Teschendorff, Andrew E.
collection PubMed
description BACKGROUND: Hypermethylation of transcription factor promoters bivalently marked in stem cells is a cancer hallmark. However, the biological significance of this observation for carcinogenesis is unclear given that most of these transcription factors are not expressed in any given normal tissue. METHODS: We analysed the dynamics of gene expression between human embryonic stem cells, fetal and adult normal tissue, as well as six different matching cancer types. In addition, we performed an integrative multi-omic analysis of matched DNA methylation, copy number, mutational and transcriptomic data for these six cancer types. RESULTS: We here demonstrate that bivalently and PRC2 marked transcription factors highly expressed in a normal tissue are more likely to be silenced in the corresponding tumour type compared with non-housekeeping genes that are also highly expressed in the same normal tissue. Integrative multi-omic analysis of matched DNA methylation, copy number, mutational and transcriptomic data for six different matching cancer types reveals that in-cis promoter hypermethylation, and not in-cis genomic loss or genetic mutation, emerges as the predominant mechanism associated with silencing of these transcription factors in cancer. However, we also observe that some silenced bivalently/PRC2 marked transcription factors are more prone to copy number loss than promoter hypermethylation, pointing towards distinct, mutually exclusive inactivation patterns. CONCLUSIONS: These data provide statistical evidence that inactivation of cell fate-specifying transcription factors in cancer is an important step in carcinogenesis and that it occurs predominantly through a mechanism associated with promoter hypermethylation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-016-0342-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-49977792016-08-26 The multi-omic landscape of transcription factor inactivation in cancer Teschendorff, Andrew E. Zheng, Shijie C. Feber, Andy Yang, Zhen Beck, Stephan Widschwendter, Martin Genome Med Research BACKGROUND: Hypermethylation of transcription factor promoters bivalently marked in stem cells is a cancer hallmark. However, the biological significance of this observation for carcinogenesis is unclear given that most of these transcription factors are not expressed in any given normal tissue. METHODS: We analysed the dynamics of gene expression between human embryonic stem cells, fetal and adult normal tissue, as well as six different matching cancer types. In addition, we performed an integrative multi-omic analysis of matched DNA methylation, copy number, mutational and transcriptomic data for these six cancer types. RESULTS: We here demonstrate that bivalently and PRC2 marked transcription factors highly expressed in a normal tissue are more likely to be silenced in the corresponding tumour type compared with non-housekeeping genes that are also highly expressed in the same normal tissue. Integrative multi-omic analysis of matched DNA methylation, copy number, mutational and transcriptomic data for six different matching cancer types reveals that in-cis promoter hypermethylation, and not in-cis genomic loss or genetic mutation, emerges as the predominant mechanism associated with silencing of these transcription factors in cancer. However, we also observe that some silenced bivalently/PRC2 marked transcription factors are more prone to copy number loss than promoter hypermethylation, pointing towards distinct, mutually exclusive inactivation patterns. CONCLUSIONS: These data provide statistical evidence that inactivation of cell fate-specifying transcription factors in cancer is an important step in carcinogenesis and that it occurs predominantly through a mechanism associated with promoter hypermethylation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13073-016-0342-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-08-25 /pmc/articles/PMC4997779/ /pubmed/27562343 http://dx.doi.org/10.1186/s13073-016-0342-8 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Teschendorff, Andrew E.
Zheng, Shijie C.
Feber, Andy
Yang, Zhen
Beck, Stephan
Widschwendter, Martin
The multi-omic landscape of transcription factor inactivation in cancer
title The multi-omic landscape of transcription factor inactivation in cancer
title_full The multi-omic landscape of transcription factor inactivation in cancer
title_fullStr The multi-omic landscape of transcription factor inactivation in cancer
title_full_unstemmed The multi-omic landscape of transcription factor inactivation in cancer
title_short The multi-omic landscape of transcription factor inactivation in cancer
title_sort multi-omic landscape of transcription factor inactivation in cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997779/
https://www.ncbi.nlm.nih.gov/pubmed/27562343
http://dx.doi.org/10.1186/s13073-016-0342-8
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