A prognostic model based on DNA methylation-related gene expression for predicting overall survival in hepatocellular carcinoma

• DOI: 10.3389/fonc.2023.1171932
• Publication Date: 2024-01-18T04:45:13Z
• Authors: Jin Luo; Wan-Cui Zhu; Qiu-Xia Chen; Chang-Fu Yang; Bi-Jun Huang; Shi-Jun Zhang
• Keywords: Liver Cancer

Background Hepatocellular carcinoma (HCC) continues to increase in morbidity and mortality among all types of cancer. DNA methylation, an important epigenetic modification, is associated with cancer occurrence progression. The objective this study was establish a model based on methylation risk scores for identifying new potential therapeutic targets HCC preventing Methods Transcriptomic, clinical, data 374 tumor tissues 50 adjacent normal were downloaded from Cancer Genome Atlas–Liver Carcinoma database. gene expression profiles the GSE54236 liver dataset, which contains 161 tissue samples, obtained Gene Expression Omnibus We analyzed relationship between levels after differentially methylated expressed genes. Then, we developed validated score methylation-driven A array consisting 30 human hepatocellular samples used assess protein mRNA marker genes by immunohistochemistry qRT-PCR, respectively. Results Three methylation-related differential identified our study: GLS, MEX3B, GNA14. results revealed that their negatively correlated local regulation. strongly prognosis patients This confirmed qRT-PCR immunohistochemical verification these or proteins tumors tissues. These level relevant as well underlying cellular biological mechanisms. allows signature provide more accurate appropriate predictions clinical applications. Conclusion Through bioinformatics analysis experimental validation, three marker: helps predict may be target patients.