Circulating Biomarkers Predict Immunotherapeutic Response in Hepatocellular Carcinoma Using a Machine Learning Method
Circulating biomarkers are useful in predicting therapeutic outcomes and can help in making clinical decisions regarding the use of ICI therapy.
Authors
- Yiqiang Chen (ORCID: https://orcid.org/0000-0002-8407-0780)
- Jie Shen (ORCID: https://orcid.org/0000-0003-3157-4640)
- Zhengyao Xie (ORCID: https://orcid.org/0000-0002-5380-8316)
- Zhijun Dai (ORCID: https://orcid.org/0000-0001-5209-8626)
- Jingjing Li (ORCID: https://orcid.org/0000-0002-0661-5642)
- Siyuan Liu (ORCID: https://orcid.org/0000-0002-3627-050X)
- Chao Chen (ORCID: https://orcid.org/0000-0003-0990-5239)
- Baorui Liu (ORCID: https://orcid.org/0000-0003-4888-8144)
- Ziyao Liu (ORCID: https://orcid.org/0000-0003-4060-0839)
- Mingzhen Zhou (ORCID: https://orcid.org/0000-0003-3051-7847)
- Ziyan Zhou (ORCID: https://orcid.org/0000-0001-7721-3950)
Institutions
- Nanjing Drum Tower Hospital (CN)
- Second Affiliated Hospital of Nanjing Medical University (CN)
- Nanjing Medical University (CN)
- Nanjing University (CN)
Publication Details
- Journal
- Journal of Hepatocellular Carcinoma
- Published
- 2024-10-01
- DOI
- https://doi.org/10.2147/jhc.s474593
- Citations
- 3
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 1.11
Funders
- National Natural Science Foundation of China
- Nanjing University of Chinese Medicine
- Nanjing University
- Nanjing Drum Tower Hospital