Biomarkers for Locally Advanced Hepatocellular Carcinoma Patients Treated with Liver-Directed Combined Radiotherapy

被引:5
作者
Chung, Seung Yeun [1 ,2 ]
Kim, Kyoung-Jin [1 ]
Seong, Jinsil [1 ]
机构
[1] Yonsei Univ, Yonsei Canc Ctr, Dept Radiat Oncol, Coll Med, Seoul, South Korea
[2] Ajou Univ, Dept Radiat Oncol, Sch Med, Suwon, South Korea
基金
新加坡国家研究基金会;
关键词
Hepatocellular carcinoma; Radiotherapy; Liver-directed combined radiotherapy; Biomarker; Tumor progression; INTERFERON-GAMMA; INTERLEUKIN-10; EXPRESSION; PROGNOSIS; CANCER; MARKER; IL-10;
D O I
10.1159/000522000
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: In the era of biomarker-driven cancer therapy, robust biomarkers for hepatocellular carcinoma (HCC) have not been well-defined. In this hypothesis-generating study, we investigated biomarkers that can be incorporated to predict treatment outcomes in patients with locally advanced HCC who are administered liver-directed combined radiotherapy (LDCRT). Methods: Ninety-nine patients with HCC who were treated with conventional fractionation LDCRT between July 2016 and October 2018 were enrolled in this prospective single-arm study. Clinical outcomes and possible serum biomarkers, including soluble programmed cell death ligand-1 (sPD-L1), interleukin (IL)-10, IL-6, cell-free DNA (cfDNA), inter-alpha inhibitor H4, and interferon-gamma, were analyzed. The primary endpoint was disease progression, and additional endpoints were local failure-free rate, intrahepatic failure-free rate, and lung metastasis-free rate. Results: The median follow-up period was 18.7 months. The 1-year progression-free rate was 38.2%. Increasing base- line sPD-L1 per pg/mL, previous treatment history, protein induced by vitamin K absence-II >1,629 mAU/mL, and multiple tumors were the adverse factors for progression based on multivariate analysis. Survival tree analysis revealed three prognostic groups for progression, in which patients with multiple lesions and baseline sPD-L1 >= 41.07 pg/mL showed the worst outcomes. For dynamic changes in biomarker levels, sPD-L1 fold change and cfDNA fold-change values were unfavorable factors for progression. Conclusion: Baseline sPD-L1, sPD-L1 fold change, and cfDNA fold-change values showed the highest potential as biomarkers for predicting post-treatment progression after LDCRT in HCC patients. By incorporating clinical factors, these biomarkers may be useful for devising a biomarker-driven treatment paradigm in locally advanced HCC. (C) 2022 The Author(s) Published by S. Karger AG, Basel
引用
收藏
页码:247 / 255
页数:9
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