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The multi-omic landscape of transcription factor inactivation in cancer.
Teschendorff, Andrew E; Zheng, Shijie C; Feber, Andy; Yang, Zhen; Beck, Stephan; Widschwendter, Martin.
Afiliação
  • Teschendorff AE; CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, Shanghai Institute for Biological Sciences, 320 Yue Yang Road, Shanghai, 200031, China. a.teschendorff@ucl.ac.uk.
  • Zheng SC; Statistical Cancer Genomics, UCL Cancer Institute, University College London, Paul O'Gorman Building, 72 Huntley Street, London, WC1E 6BT, UK. a.teschendorff@ucl.ac.uk.
  • Feber A; Department of Women's Cancer, University College London, 74 Huntley Street, London, WC1E 6BT, UK. a.teschendorff@ucl.ac.uk.
  • Yang Z; CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, Shanghai Institute for Biological Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
  • Beck S; Medical Genomics, UCL Cancer Institute, University College London, Paul O'Gorman Building, 72 Huntley Street, London, WC1E 6BT, UK.
  • Widschwendter M; CAS Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Sciences, Shanghai Institute for Biological Sciences, 320 Yue Yang Road, Shanghai, 200031, China.
Genome Med ; 8(1): 89, 2016 08 25.
Article em En | MEDLINE | ID: mdl-27562343
ABSTRACT

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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Regulação Neoplásica da Expressão Gênica / Inativação Gênica / Carcinogênese / Proteínas de Neoplasias / Neoplasias Limite: Adult / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Fatores de Transcrição / Regulação Neoplásica da Expressão Gênica / Inativação Gênica / Carcinogênese / Proteínas de Neoplasias / Neoplasias Limite: Adult / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article