Cholesterol Metabolism-related Characteristics Predict Therapeutic Response and Survival in Esophageal Cancer
Our findings underscore the distinct expression patterns of CRGs in esophageal cancer. These signatures are efficient to serve as prognostic indicators and assess the effectiveness of immunotherapy. They may also represent promising targets in other TP53 mutant malignancies.
Authors
- Yu Ma (ORCID: https://orcid.org/0000-0003-2175-3346)
- Haodong Yue
- Yan Li (ORCID: https://orcid.org/0000-0002-5846-7813)
- Tingting Zeng (ORCID: https://orcid.org/0000-0002-6038-2843)
- Lingyu Tan
- Kun Li (ORCID: https://orcid.org/0000-0002-0678-1122)
- Xu Zhang (ORCID: https://orcid.org/0000-0002-0608-6509)
- Qiyu Guo
- Xiaodong Su (ORCID: https://orcid.org/0000-0002-5956-2126)
- Chufeng Zeng
Institutions
- Sun Yat-sen University (CN)
- Sun Yat-sen University Cancer Center (CN)
Publication Details
- Journal
- Journal of Advanced Research
- Published
- 2025-06-16
- DOI
- https://doi.org/10.1016/j.jare.2025.06.025
- Primary Topic
- Cancer, Lipids, and Metabolism
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guangzhou Science and Technology Program key projects
- Guangzhou Municipal Science and Technology Project