Screening telomere-related genes to predict prognosis, immunotherapy response, and drug sensitivity in esophageal cancer using a machine learning approach
A TRGs-based prognostic model effectively predicts survival in EC and reveals associations with somatic mutations, immune infiltration, and drug sensitivity. Functional validation of PTGES3 further supports its potential as a therapeutic target.
Authors
- Xiaojun Yu (ORCID: https://orcid.org/0000-0001-7361-0780)
- Wei Jiang (ORCID: https://orcid.org/0000-0002-0943-3705)
- Shuang Li (ORCID: https://orcid.org/0000-0002-1933-679X)
- Fang Chen (ORCID: https://orcid.org/0000-0002-3815-3542)
- Tao Zheng (ORCID: https://orcid.org/0000-0002-1820-1762)
- Haitao Ma (ORCID: https://orcid.org/0000-0002-8454-1570)
- Jingfeng Zhu
Institutions
- Jiangsu University (CN)
- Soochow University (CN)
- Affiliated Hospital of Jiangsu University (CN)
- Second Affiliated Hospital of Soochow University (CN)
- First Affiliated Hospital of Soochow University (CN)
Publication Details
- Journal
- Journal of Cardiothoracic Surgery
- Published
- 2025-12-03
- DOI
- https://doi.org/10.1186/s13019-025-03727-w
- Primary Topic
- Esophageal Cancer Research and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00