Bioinformatics Analysis Identifies Lipid Droplet‐Associated Gene Signatures as Promising Prognostic and Diagnostic Models for Endometrial Cancer

Bioinformatics Analysis Identifies Lipid Droplet‐Associated Gene Signatures as Promising Prognostic and Diagnostic Models for Endometrial Cancer

ABSTRACT Background Effective diagnostic and prognostic tools are critical for early detection and improved outcomes in endometrial cancer (EC). Although metabolic dysregulation plays a key role in EC pathogenesis, the clinical relevance of lipid droplet–associated genes (LDAGs) remains largely unex...

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Bibliographic Details
Main Authors: Vijayalakshmi N. Ayyagari, Miao Li, Paula Diaz‐Sylvester, Kathleen Groesch, Teresa Wilson, Ejaz M. Shah, Laurent Brard
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Cancer Reports
Subjects:
diagnostic models
endometrial cancer
lipid droplets
prognostic models
Online Access:https://doi.org/10.1002/cnr2.70313
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https://doi.org/10.1002/cnr2.70313

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