Evaluation of prognostic efficacy of liver immune status index in predicting postoperative outcomes in hepatocellular carcinoma patients: A multi-institutional retrospective study

评估肝脏免疫状态指数在预测肝细胞癌患者术后预后中的预后效能:一项多中心回顾性研究

阅读:1

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) ranks third in cancer-related deaths globally. Despite treatment advances, high post-hepatectomy recurrence rates (RR), especially with liver fibrosis and hepatitis C virus infection, remain challenging. Key prognostic factors include vascular invasion and perioperative blood loss, impacting extrahepatic recurrence. Natural killer (NK) cells are crucial in countering circulating tumor cells through TRAIL-mediated pathways. The aim of this study was to validate the liver immune status index (LISI) as a predictive tool for liver NK cell antitumor efficiency, particularly in HCC patients with vascular invasion. METHODS: A retrospective analysis of 1337 primary HCC hepatectomies was conducted by the Hiroshima Surgical Study Group of Clinical Oncology (HiSCO). Clinicodemographic data were extracted from electronic medical records. Prognostic indices (FIB-4, ALBI, ALICE, GNRI, APRI, and LISI) were evaluated using area under the receiver operating characteristic curve values. Survival analyses employed Kaplan-Meier estimations and log-rank tests. RESULTS: LISI significantly correlated with other prognostic markers and stratified patients into risk groups with distinct overall survival (OS) and RR. It showed superior predictive performance for 2-year OS and RR, especially in patients with vascular invasion. Over longer periods, APRI and FIB-4 index reliabilities improved. The HISCO-HCC score, combining LISI, tumor burden score, and alpha-fetoprotein levels, enhanced prognostic accuracy. CONCLUSION: LISI outperformed existing models, particularly in HCC with vascular invasion. The HISCO-HCC score offers improved prognostic precision, guiding immunotherapeutic strategies and individualized patient care in HCC.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。