Peng Tzu-Rong, Wu Chao-Chuan, Hsiao Jong-Kai, Chou Yi-Chun, Liao Yuan-Ling, Chen Yen-Chih, Shao Pei-Jung, Wu Ta-Wei, Hsu Ching-Sheng
Department of Pharmacy, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan.
Department of Surgery, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City 23142, Taiwan.
Cancers (Basel). 2024 Dec 25;17(1):24. doi: 10.3390/cancers17010024.
Muscle depletion (MD) is a critical factor that influences clinical outcomes in patients with hepatocellular carcinoma (HCC). Although its role in cancer prognosis is recognized, its integration into widely used prognostic systems remains underexplored. This study aimed to evaluate the prognostic impact of MD on overall survival (OS) in HCC patients and to improve existing noninvasive prognostic models by incorporating MD-related metrics.
A retrospective analysis was conducted on 1072 HCC patients treated at Taipei Tzu Chi Hospital between January 2006 and December 2016. All patients had follow-up data and computed tomography (CT) scans at vertebral level L3 for MD evaluation. Independent prognostic factors for OS were identified using Cox proportional hazards models, and the predictive performance of various prognostic models was assessed through the area under the receiver operating characteristic curve (AUROC).
The key independent predictors of OS in HCC patients included hepatitis B virus infection, hepatitis C virus infection, liver cirrhosis, tumor size, serum alpha-fetoprotein levels, and MD-related metrics (psoas muscle-to-spine ratio, psoas muscle-to-vertebral ratio, and myosteatosis). Among existing models, the Barcelona Clinic Liver Cancer (BCLC) stage, the Child-Turcotte-Pugh (CTP) class, and the albumin-bilirubin (ALBI) grade demonstrated robust predictive performance for OS. However, incorporating MD significantly improved the predictive accuracy of these models, with the MD-BCLC model showing the highest AUROC (0.804, 95% CI: 0.777-0.832, < 0.001).
MD is an independent and significant prognostic predictor for patients with HCC. Integrating MD metrics into established systems, particularly the BCLC staging system, markedly improves OS prediction, providing a more comprehensive tool for clinical decision-making in the management of HCC.
肌肉消耗(MD)是影响肝细胞癌(HCC)患者临床结局的关键因素。尽管其在癌症预后中的作用已得到认可,但其纳入广泛使用的预后系统的情况仍未得到充分探索。本研究旨在评估MD对HCC患者总生存期(OS)的预后影响,并通过纳入与MD相关的指标来改进现有的非侵入性预后模型。
对2006年1月至2016年12月在台北慈济医院接受治疗的1072例HCC患者进行回顾性分析。所有患者均有随访数据,并进行了L3椎体水平的计算机断层扫描(CT)以评估MD。使用Cox比例风险模型确定OS的独立预后因素,并通过受试者操作特征曲线下面积(AUROC)评估各种预后模型的预测性能。
HCC患者OS的关键独立预测因素包括乙型肝炎病毒感染、丙型肝炎病毒感染、肝硬化、肿瘤大小、血清甲胎蛋白水平以及与MD相关的指标(腰大肌与脊柱比值、腰大肌与椎体比值和肌脂肪变性)。在现有模型中,巴塞罗那临床肝癌(BCLC)分期、Child-Turcotte-Pugh(CTP)分级和白蛋白-胆红素(ALBI)分级对OS显示出强大的预测性能。然而,纳入MD显著提高了这些模型的预测准确性,MD-BCLC模型的AUROC最高(0.804,95%CI:0.777-0.832,P<0.001)。
MD是HCC患者独立且重要的预后预测指标。将MD指标纳入既定系统,尤其是BCLC分期系统,可显著改善OS预测,为HCC管理中的临床决策提供更全面的工具。