Based on Soluble Immune Checkpoints Constructing a Random Survival Forest Model to Predict the Prognosis of Hepatitis B Virus-Associated Hepatocellular Carcinoma
We constructed a predictive model based on sICs to predict different survival times in HBV-HCC patients. The risk stratification effectively identified potentially critical patients. Soluble GITR, sPD-L1 and sTIM-3 were important immunological indicators which could dynamically monitor patients' immune status.
Authors
- Huiwen Yan (ORCID: https://orcid.org/0000-0001-6265-7719)
- Zhiyun Yang (ORCID: https://orcid.org/0000-0002-1522-0749)
- Yuqing Xie (ORCID: https://orcid.org/0000-0001-8924-3110)
- Yuan Wu (ORCID: https://orcid.org/0009-0004-0920-6811)
- Zimeng Shang
- Lihua Yu (ORCID: https://orcid.org/0000-0002-3228-8286)
- Xue Cai (ORCID: https://orcid.org/0009-0003-6479-0419)
- Tingting Jiang (ORCID: https://orcid.org/0000-0002-2480-9766)
- Qing Pu
- Xiaoli Liu (ORCID: https://orcid.org/0000-0002-7267-0367)
Institutions
- Capital Medical University (CN)
- Beijing Ditan Hospital (CN)
- Shangri-la Institute (CN)
- Chengdu University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- OncoTargets and Therapy
- Published
- 2025-04-01
- DOI
- https://doi.org/10.2147/ott.s512838
- Citations
- 1
- Primary Topic
- Hepatitis C virus research
- Type
- article
- Field-Weighted Citation Impact
- 1.32
Funders
- National Science Foundation
- National Natural Science Foundation of China
- Capital Medical University
- Beijing Municipal Administration of Traditional Chinese Medicine
- National Key Research and Development Program of China