Epigenetic study of esophageal carcinoma based on methylation, gene integration and weighted correlation network analysis
OncoTargets and Therapy May 28, 2021
Xu Y, Wang N, Liu R, et al. - Researchers sought to determine potential molecular markers of esophageal carcinoma that may assist its diagnosis as well as management. They used The Cancer Genome Atlas database, to obtain mRNA and DNA methylation data. To ascertain essential modules and hub genes, Weighted Gene Co-Expression Network Analysis (WGCNA) was employed. They discovered 2408 differentially expressed genes (DEGs) and 5134 differentially methylated sites. The optimal module, in the WGCNA analysis, was the royal blue module. Additionally, ESRRG, MFSD4, CCKBR, ATP4B, ESRRB, ATP4A, CCKAR and B3GAT1, included as hub genes in the module, were also differentially methylated genes and DEGs. The likely diagnostic gene biomarkers for esophageal carcinoma include CCKAR, MFSD4 and ESRRG. There was a significant correlation between high expression of MFSD4 and patient survival. Reduced gene expression levels of ATP4B, B3GAT1, CCKBR and ESRRG were revealed in immunohistochemistry analysis of esophageal carcinoma tissues, which was in line with the bioinformatics findings. Thus, these discovered molecular markers may aid the diagnosis as well as management of esophageal carcinoma.
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