The gene panel with methylation-related genes and clinical factors for predicting overall survival of endometrial cancer

Risk factors for prognosis of EC

  • Lijuan Jiao The Second Affiliated Hospital Zhejiang University School of Medicine
  • Junyan Li The Second Affiliated Hospital Zhejiang University School of Medicine
  • Jiong Ma The Second Affiliated Hospital Zhejiang University School of Medicine
  • Pu Cheng The Second Affiliated Hospital Zhejiang University School of Medicine
  • Yue Pang The Second Affiliated Hospital Zhejiang University School of Medicine
DOI: https://doi.org/10.5937/jomb0-58710
Keywords: Endometrial cancer, DNA methylation, Biomarker, Diagnosis, Prognosis

Abstract


Background: This study aimed to identify novel methylation-based prognostic biomarkers for endometrial cancer (EC) to facilitate early diagnosis and treatment. To explore methylation-related prognostic markers in endometrial tissue by analyzing TCGA data and to establish a methylation-based risk model for EC patients.

Materials and Methods: We systematically analyzed methylation-related gene expression and prognostic significance in 409 EC patients using TCGA DNA methylation data. DNA methylation biomarkers were identified through consensus clustering and weighted gene co-expression network analysis (WGCNA). The clusterProfiler algorithm was employed to determine key signaling pathways across different subgroups. 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 prognoses compared to low-risk patients. A gene panel was also established to predict prognosis across different EC risk groups.

Conclusion: The methylation-related gene panel model serves as a reliable prognostic biomarker for EC, offering potential for enhanced early diagnosis and personalized treatment strategies.

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Published
2025/06/12
Issue
Vol. 44 No. 7 (2025): Journal of Medical Biochemistry
Section
Original paper

Copyright (c) 2025 Lijuan Jiao, Junyan Li, Jiong Ma, Pu Cheng, Yue Pang

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