The gene panel with methylation-related genes and clinical factors for predicting overall survival of endometrial cancer
Year: 2025
Type: article
Abstract: Background: This study aimed to identify novel methyla-tion-based prognostic biomarkers for endometrial cancer (EC) to facilitate early diagnosis and treatment. To explore methylation-related prognostic markers in endometrial tis-sue by analyzing TCGA data and to establish a methylation-based risk model for EC patients. Methods: We systematically analyzed methylation-related gene expression and prognostic significance in 409 EC patients using TCGA DNA methylation data. DNA methy-lation biomarkers were identified through consensus clus-tering and weighted gene co-expression network analysis (WGCNA). The clusterProfiler algorithm was employed to determine key signaling pathways across different sub-groups. A gene panel targeting critical DNA methylation sites was subsequently constructed. Results: A methylation-related prognostic risk model was developed, incorporating five CpG sites: cg01416891, cg00082235, cg01493517,cg03811891,and cg05317207. The model demonstrated strong predictive performance, with high-risk patients exhibiting significantly poorer prog-noses compared to low-risk patients. A gene panel was also established to predict prognosis across different EC risk groups. Conclusions: The methylation-related gene panel model serves as a reliable prognostic biomarker for EC, offering potential for enhanced early diagnosis and personalized treatment strategies.
Source: Journal of Medical Biochemistry
DOI: 10.5937/jomb0-58710
Authors: Lijuan Jiao, Junyan Li, Jiong Ma, Pu Cheng, Yue Pang
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4411287780