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

## TL;DR

This study identifies a methylation-based gene panel that predicts survival in endometrial cancer patients, aiding early diagnosis and treatment.

## Contribution

A novel methylation-based risk model using five CpG sites is developed for predicting endometrial cancer prognosis.

## Key findings

- A methylation-related gene panel was constructed using five significant CpG sites.
- High-risk patients showed significantly poorer prognoses compared to low-risk patients.
- The model offers potential for early diagnosis and personalized treatment in endometrial cancer.

## Abstract

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.

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.

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.

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