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Updated: Jan 30, 2026

Development of Compendium for Esophageal Squamous Cell Carcinoma
Published on: April 12, 2024
Comprehensive bioinformation analysis of methylated and differentially expressed genes in esophageal squamous cell
Hao Peng1, Shasha Wang, Lijuan Pang
1Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, North 4th Road, Shihezi 832002, China. cuixiaobin4363@foxmail.com.
Abstract:
Differentially methylated genes (DMGs) play a crucial role in the etiology and pathogenesis of esophageal squamous cell carcinoma (ESCC). This study aimed to ascertain aberrant DMGs and pathways by comprehensive bioinformatics analysis. We downloaded the gene expression microarray of GSE51287 from the Gene Expression Omnibus (GEO). Aberrant DMGs were obtained using the GEO2R tool. Gene ontology (GO) analysis and Kyoto Encyclopedia of Gene and Genome pathway enrichment analyses were performed on selected genes by using the Database for Annotation Visualization and Integrated Discovery. A protein-protein interaction (PPI) network was constructed with the Retrieval of Interacting Genes (STRING) and visualized in Cytoscape. Then, the modules in the PPI networks were analyzed with Molecular Complex Detection, and the hub genes derived from the PPI networks were verified by using the Cancer Genome Atlas. A total of 271 DMGs, including 173 hypermethylated genes, were enriched in the biological processes of peptidyl-tyrosine phosphorylation, positive regulation of transcription from RNA polymerase II promoters, and autophosphorylation. Pathway analysis enrichment revealed cancer, PI3K-Akt, and Ras signaling pathways, and 98 hypomethylated genes were enriched in the biological processes of the immune response, extracellular matrix disassembly, and macrophage differentiation. Pathway enrichment showed rheumatoid arthritis, cytokine-cytokine receptor interaction, and toxoplasmosis. Furthermore, bioinformatics analysis indicated feasible aberrant DMGs and pathways in ESCC. The results provided valuable information on the pathogenesis of ESCC. The significant DMGs may provide novel insights into their potential predictive and prognostic value as methylation-based biomarkers for the precise diagnosis and treatment of ESCC.
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