BMC Medical GenomicsGenetic & Genomic MedicinePeer-reviewed journal article
Genome-wide methylation profiling identify hypermethylated HOXL subclass genes as potential markers for esophageal squamous cell carcinoma detection
Qiuning YuiD, Namei Xia, Yanteng ZhaoiD, Huifang JiniD, Renyin Chen, Fanglei YeiD, Liyinghui Chen, Ying XieiD, Kangkang WaniD, Jun Zhou, Dihan Zhou, Xianping LviD
Abstract
BackgroundNumerous studies have revealed aberrant DNA methylation in esophageal squamous cell carcinoma (ESCC). However, they often focused on the partial genome, which resulted in an inadequate understanding of the shaped methylation features and the lack of available methylation markers for this disease. MethodsThe current study investigated the methylation profiles between ESCC and paired normal samples using whole-genome bisulfite sequencing (WGBS) data and obtained a group of differentially methylated CpGs (DMC), differentially methylated regions (DMR), and differentially methylated genes (DMG). The DMGs were then verified in independent datasets and Sanger sequencing in our custom samples. Finally, we attempted to evaluate the performance of these genes as methylation markers for the classification of ESCC and multiple cancer types. ResultsWe obtained 438,558 DMCs, 15,462 DMRs, and 1,568 DMGs. The four significantly enriched gene families of DMGs were CD molecules, NKL subclass, HOXL subclass, and Zinc finger C2H2-type. The HOXL subclass homeobox genes were observed extensively hypermethylated in ESCC and nine other cancer types. The HOXL-score estimated by HOXC10 and HOXD1 methylation showed good ability in discriminating ESCC from normal samples, while the methylation of GSX1 displayed potential utility for pan-cancer detection. ConclusionsWe observed widespread hypomethylation events in ESCC, and the hypermethylated HOXL subclass homeobox genes presented promising applications for the early detection of multiple cancer types.
- organism: human
- assay: DNA methylation
- research focus: differential expression
- approach: statistical model
- Citations
- 6
- FWCI
- 0.49
- Field percentile
- top 45%
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