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Radiotherapy plus anti-PD1 versus radiotherapy for hepatic toxicity in patients with hepatocellular carcinoma

Authors :
Rui-Jun Zhang
Hong-Mei Zhou
Hai-Yan Lu
Hong-Ping Yu
Wei-Zhong Tang
Mo-Qin Qiu
Liu-Ying Yan
Mei-Ying Long
Ting-Shi Su
Bang-De Xiang
Mei-Ling He
Xiao-Ting Wang
Shi-Xiong Liang
Jian-Xu Li
Source :
Radiation Oncology, Vol 18, Iss 1, Pp 1-10 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Purpose In this study, we aimed to compare the radiation-induced hepatic toxicity (RIHT) outcomes of radiotherapy (RT) plus antibodies against programmed cell death protein 1 (anti-PD1) versus RT alone in patients with hepatocellular carcinoma (HCC), evaluate prognostic factors of non-classic radiation-induced liver disease (ncRILD), and establish a nomogram for predicting the probability of ncRILD. Patients and methods Patients with unresectable HCC treated with RT and anti-PD1 (RT + PD1, n = 30) or RT alone (n = 66) were enrolled retrospectively. Patients (n = 30) in each group were placed in a matched cohort using propensity score matching (PSM). Treatment-related hepatotoxicity was evaluated and analyzed before and after PSM. The prognostic factors affecting ncRILD were identified by univariable logistic analysis and Spearman’s rank test in the matched cohort to generate a nomogram. Results There were no differences in RIHT except for increased aspartate aminotransferase (AST) ≥ grade 1 and increased total bilirubin ≥ grade 1 between the two groups before PSM. After PSM, AST ≥ grade 1 occurred more frequently in the RT + PD1 group (p = 0.020), and there were no significant differences in other hepatotoxicity metrics between the two groups. In the matched cohort, V25, tumor number, age, and prothrombin time (PT) were the optimal prognostic factors for ncRILD modeling. A nomogram revealed a good predictive performance (area under the curve = 0.82). Conclusions The incidence of RIHT in patients with HCC treated with RT + PD1 was acceptable and similar to that of RT treatment. The nomogram based on V25, tumor number, age, and PT robustly predicted the probability of ncRILD.

Details

Language :
English
ISSN :
1748717X
Volume :
18
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Radiation Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.57f25811182f4d709117f3acc54daa7c
Document Type :
article
Full Text :
https://doi.org/10.1186/s13014-023-02309-1