An early relapse prediction model based on pathological features following neoadjuvant immunotherapy for hepatocellular carcinoma
This study highlights MVI absence, tumor capsule integrity, and CD4+ T cell infiltration as key predictors of RFS in HCC patients receiving neoadjuvant immunotherapy. The proposed nomogram provides a clinically actionable tool for early recurrence risk assessment, enabling personalized postoperative monitoring and adjuvant therapy strategies to improve survival outcomes.
Authors
- Yanrui Pang (ORCID: https://orcid.org/0000-0002-9531-0233)
- Xiaoxiao Guo (ORCID: https://orcid.org/0000-0001-7152-6876)
- Jing Han
- Yuan Ji (ORCID: https://orcid.org/0000-0001-7835-6662)
- Xuelian Zhao (ORCID: https://orcid.org/0000-0001-5712-677X)
Institutions
- Sun Yat-sen University (CN)
- Shanghai Jiao Tong University (CN)
- Fudan University (CN)
- Zhongshan Hospital (CN)
- The First Affiliated Hospital, Sun Yat-sen University (CN)
- Shanghai Sixth People's Hospital (CN)
Publication Details
- Journal
- The Oncologist
- Published
- 2025-11-10
- DOI
- https://doi.org/10.1093/oncolo/oyaf368
- Primary Topic
- Hepatocellular Carcinoma Treatment and Prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Science and Technology Commission of Shanghai Municipality
- Shanghai Jiao Tong University