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Differentially Methylated Super-Enhancers Regulate Target Gene Expression in Human Cancer
Emily L Flam1, Ludmila Danilova2,3, Dylan Z Kelley1
1Department of Otolaryngology-Head and Neck Surgery, Johns Hopkins Medical Institutions, Baltimore, Maryland, USA.
Scientific Reports
|October 23, 2019
Summary
Epigenetically regulated super-enhancers drive cancer gene expression. A new pipeline identifies these elements and their targets in HPV-related oropharyngeal squamous cell carcinoma using related tissue data.
Area of Science:
- Oncology
- Epigenetics
- Genomics
Background:
- Super-enhancers (SEs) are crucial for aberrant gene expression in cancers.
- Limited chromatin data hinders the identification of cancer-specific SEs and their roles in carcinogenesis.
- Human papillomavirus-related oropharyngeal squamous cell carcinoma (HPV+ OPSCC) exhibits significant gene expression changes not explained by genetic alterations alone.
Purpose of the Study:
- To develop a computational pipeline for discovering tissue-specific SEs and their target genes using data from etiologically similar tumors.
- To apply this pipeline to HPV+ OPSCC, leveraging existing chromatin data from related tissues.
- To identify functional SEs and their target genes critical for HPV+ OPSCC development.
Main Methods:
- Developed a pipeline integrating gene expression and DNA methylation data.
- Utilized public domain SE data from normal/tumor lung and cervical cancer cell lines.
- Filtered candidate SEs using HPV+ OPSCC methylation and expression data to identify functional SEs and target genes.
Main Results:
- Identified 159 differentially methylated SEs in HPV+ OPSCC, with 87 actively regulating 150 nearby genes (211 SE-gene pairs).
- Validated 132 SE-gene pairs in a TCGA cohort.
- Pathway analysis linked SE-regulated genes to carcinogenesis pathways in nasopharyngeal, breast, melanoma, and bladder cancers.
Conclusions:
- Epigenetic alterations in SEs, common across related tissues, may control gene expression in HPV+ OPSCC.
- The developed pipeline is adaptable for SE analysis in various diseased and non-diseased tissues.
- This approach facilitates the discovery of cancer-driving epigenetic mechanisms where direct tumor data is scarce.
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