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The AFCRPLITY score for predicting the prognosis of immunotherapy combined with local–regional therapy in unresectable hepatocellular carcinoma
- Source :
- Therapeutic Advances in Medical Oncology, Vol 16 (2024)
- Publication Year :
- 2024
- Publisher :
- SAGE Publishing, 2024.
-
Abstract
- Background: Immunotherapy combined with intra-arterial therapy (IAT) has shown great potential in the treatment of unresectable hepatocellular carcinoma (uHCC). However, there are currently no available biomarkers that can predict the prognosis of immune-based combined therapy. Objectives: To establish a scoring method to predict prognosis in uHCC patients undergoing IAT plus immunotherapy. Methods: Between March 2019 and August 2022, uHCC patients undergoing IAT in combination with programmed cell death (ligand) 1 (PD-1)/PD-L1-based immunotherapy were retrospectively analyzed. Results: Among 1046 patients included, 780 patients were enrolled into hepatic arterial infusion chemotherapy immunotherapy cohorts (training set: n = 546, one center; external testing set: n = 234, three centers) and 266 patients were treated with trans-arterial chemoembolization (TACE) plus immunotherapy were enrolled into TACE immunotherapy cohort (validation set: n = 266). We developed the easy-to-apply alpha-fetoprotein (AFP), C-reactive protein (CRP), and platelet-to-lymphocyte ratio (PLR) in immunotherapy (AFCRPLITY) score and investigated the prognostic value of baseline variables on the disease control rate (DCR) and progression-free survival (PFS). HCC patients with low AFCRPLITY scores would have better PFS and DCRs than patients with high AFCRPLITY scores (AFCRPLITY 0: vs AFCRPLITY 1: vs AFCRPLITY 2: vs AFCRPLITY 3: p
- Subjects :
- Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Subjects
Details
- Language :
- English
- ISSN :
- 17588359
- Volume :
- 16
- Database :
- Directory of Open Access Journals
- Journal :
- Therapeutic Advances in Medical Oncology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.5d49df7e439c4bf288c9822b5e03040d
- Document Type :
- article
- Full Text :
- https://doi.org/10.1177/17588359241297080