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Identification and characteristic analysis of enhancers across 13 major cancer types

Authors :
Yuting Chen
Xinyue Dai
Wenzhu Wang
Huige Quan
Zhiyun Guo
Ming-Ming Qian
Yi Zhao
Yana Zhang
Source :
Precision Clinical Medicine. 4:204-208
Publication Year :
2021
Publisher :
Oxford University Press (OUP), 2021.

Abstract

Enhancers are often mutated and dysregulated in various diseases such as cancer. By integrating the function annotation of the mammalian genome (FANTOM) enhancers expression profiles and RNA-seq data from The Cancer Genome Atlas (TCGA) of 13 cancers and their corresponding para-cancerous tissues, we systematically identified a total of 4702 significantly differentially expressed (DE) enhancers. Furthermore, a total of 1036 DE genes regulated by DE enhancers were identified. It was found that in these 13 cancers, most (61.13%) enhancers were ubiquitously expressed, whereas DE enhancers were more likely to be tissue-specific expressed, and the DE genes regulated by DE enhancers were significantly enriched in cancer-related pathways. Finally, it was manifested that 74 single nucleotide polymorphisms (SNPs) were located in 37 DE enhancers, and these SNPs affected the gain and loss of functional transcription factor binding sites of 758 transcription factors, which were shown to be highly correlated with tumorigenesis and development.

Details

ISSN :
25161571 and 20965303
Volume :
4
Database :
OpenAIRE
Journal :
Precision Clinical Medicine
Accession number :
edsair.doi.dedup.....394832528d0f612f3de6e14fab1fe52d
Full Text :
https://doi.org/10.1093/pcmedi/pbab019