Epigenome Mapping Identifies Tumor-Specific Gene Expression in Primary Rectal Cancer

2019 | journal article. A publication with affiliation to the University of Göttingen.

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​Epigenome Mapping Identifies Tumor-Specific Gene Expression in Primary Rectal Cancer​
Flebbe, H.; Hamdan, F. H. ; Kari, V. ; Kitz, J. ; Gaedcke, J. ; Ghadimi, B. M. & Johnsen, S. A.  et al.​ (2019) 
Cancers11(8) art. 1142​.​ DOI: https://doi.org/10.3390/cancers11081142 

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Authors
Flebbe, Hannah; Hamdan, Feda H. ; Kari, Vijayalakshmi ; Kitz, Julia ; Gaedcke, Jochen ; Ghadimi, B. Michael; Johnsen, Steven A. ; Grade, Marian 
Abstract
Epigenetic alterations play a central role in cancer development and progression. The acetylation of histone 3 at lysine 27 (H3K27ac) specifically marks active genes. While chromatin immunoprecipitation (ChIP) followed by next-generation sequencing (ChIP-seq) analyses are commonly performed in cell lines, only limited data are available from primary tumors. We therefore examined whether cancer-specific alterations in H3K27ac occupancy can be identified in primary rectal cancer. Tissue samples from primary rectal cancer and matched mucosa were obtained. ChIP-seq for H3K27ac was performed and differentially occupied regions were identified. The expression of selected genes displaying differential occupancy between tumor and mucosa were examined in gene expression data from an independent patient cohort. Differential expression of four proteins was further examined by immunohistochemistry. ChIP-seq for H3K27ac in primary rectal cancer and matched mucosa was successfully performed and revealed differential binding on 44 regions. This led to the identification of genes with increased H3K27ac, i.e., RIPK2, FOXQ1, KRT23, and EPHX4, which were also highly upregulated in primary rectal cancer in an independent dataset. The increased expression of these four proteins was confirmed by immunohistochemistry. This study demonstrates the feasibility of ChIP-seq-based epigenome mapping of primary rectal cancer and confirms the value of H3K27ac occupancy to predict gene expression differences.
Issue Date
2019
Journal
Cancers 
ISSN
2072-6694
Language
English

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