Construction of a prognostic model for endometrial cancer related to programmed cell death using WGCNA and machine learning algorithms

This study developed a prognostic model related to PCD for UCEC using comprehensive bioinformatics analyses. The model demonstrates robust predictive performance and holds significant potential for clinical application, thereby facilitating precise stratification and personalized treatment of UCEC patients.

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Institutions

Publication Details

Journal
Frontiers in Immunology
Published
2025-05-20
DOI
https://doi.org/10.3389/fimmu.2025.1564407
Citations
1
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
0.94
Controls
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article

Construction of a prognostic model for endometrial cancer related to programmed cell death using WGCNA and machine learning algorithms

J. Jojo Cheng, Weicheng Pan, Xianxian Nong, Qianxi Li et al.
1 citations
Frontiers in Immunology
MicroRNA in disease regulation
0.94
article

Construction of a prognostic model for endometrial cancer related to programmed cell death using WGCNA and machine learning algorithms

J. Jojo Cheng, Weicheng Pan, Xianxian Nong, Qianxi Li, Huiying Li, Liang Yu, Shanshan Lin, H Nong
article en
1 citations

Abstract

This study developed a prognostic model related to PCD for UCEC using comprehensive bioinformatics analyses. The model demonstrates robust predictive performance and holds significant potential for clinical application, thereby facilitating precise stratification and personalized treatment of UCEC patients.

Frontiers in ImmunologyVol. 16
Guangxi Medical University (CN), First Affiliated Hospital of GuangXi Medical University (CN)
Openalex Percentile: Top 25%
MicroRNA in disease regulation
0.94
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