Li Mengge, Dang Zhibo, Ma Suping, Wang Yuliang, Xu Xiangqian, Li Bo, Qian Peiguo, Dang Zhongqin
Henan University of Chinese Medicine Zhengzhou 450000, Henan, China.
Department of Liver Spleen and Stomach, Henan Province Hospital of TCM Zhengzhou 450002, Henan, China.
Am J Transl Res. 2023 Jul 15;15(7):4600-4609. eCollection 2023.
Hepatocellular carcinoma (HCC) with portal vein tumor thrombus (PVTT) is associated with a poor prognosis for HCC patients. Herein we aimed to establish a scoring system to predict the risk of PVTT formation in hepatitis B virus (HBV)-associated HCC.
A total of 848 patients from the Henan Province Traditional Chinese Medicine (TCM) Hospital with HCC were included in the study. Among them, 403 with and 445 without PVTT were retrospectively analyzed to identify the risk factors for PVTT formation, using a novel scoring system to predict the occurrence of PVTT in HBV-associated HCC patients. The scoring system was validated using clinical data from the First Affiliated Hospital of Henan University of TCM. Significant findings: The Cox proportional-hazard regression model revealed that gender, tumor size, the neutrophil-lymphocyte ratio, and alpha-fetoprotein and C-reactive protein concentrations were dependent clinical prognostic factors for PVTT, which were included in the final scoring model for PVTT prediction (AUC, 0.858; 95% CI: 0.832 to 0.881). The scoring model ranked HCC patients into 3 risk grades. A sensitivity analysis for validation of the scoring system was performed on 489 patients with HBV-related HCC. The proportion of patients in each grade was not significantly different.
The study established a risk warning system for PVTT prediction in HCC patients. More substantial clinical data will be necessary to confirm these findings.
伴有门静脉癌栓(PVTT)的肝细胞癌(HCC)与HCC患者的不良预后相关。在此,我们旨在建立一个评分系统,以预测乙型肝炎病毒(HBV)相关HCC中PVTT形成的风险。
本研究纳入了河南省中医院的848例HCC患者。其中,对403例有PVTT和445例无PVTT的患者进行回顾性分析,以确定PVTT形成的危险因素,并使用一种新的评分系统来预测HBV相关HCC患者中PVTT的发生情况。该评分系统使用河南中医药大学第一附属医院的临床数据进行验证。重要发现:Cox比例风险回归模型显示,性别、肿瘤大小、中性粒细胞与淋巴细胞比值以及甲胎蛋白和C反应蛋白浓度是PVTT的独立临床预后因素,这些因素被纳入PVTT预测的最终评分模型(AUC,0.858;95%CI:0.832至0.881)。该评分模型将HCC患者分为3个风险等级。对489例HBV相关HCC患者进行了评分系统验证的敏感性分析。各等级患者的比例无显著差异。
本研究建立了一个用于预测HCC患者PVTT的风险预警系统。需要更多大量的临床数据来证实这些发现。