Identification of prognostic markers related to homologous recombination deficiency in cholangiocarcinoma using CoxBoost and LASSO machine learning techniques
Our HRD-based prediction model offers a reliable tool for CHOL prognosis, suggesting new potential for six candidate genes as prognostic biomarkers. It highlights potential therapeutic targets and drug sensitivities, providing new insights into personalized treatment strategies for CHOL management.
Authors
- Cheng Zhou (ORCID: https://orcid.org/0000-0003-1559-1555)
- Tao Jiang (ORCID: https://orcid.org/0000-0001-8894-7669)
- Y. Liu
- Wei Li (ORCID: https://orcid.org/0000-0003-0236-4214)
- Xue Yu (ORCID: https://orcid.org/0000-0002-6051-3241)
- Yongqiang Zhu
- Qiuying Li
- Tianhao Shen
Institutions
- Shanghai University of Traditional Chinese Medicine (CN)
- Shanghai Traditional Chinese Medicine Hospital (CN)
- Central Hospital of Putuo District (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2026-01-21
- DOI
- https://doi.org/10.3389/fimmu.2026.1615657
- Primary Topic
- Cholangiocarcinoma and Gallbladder Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00