基于脂质指标的晚期肝细胞癌患者风险评分新方法

IF 4.2 3区 医学 Q2 ONCOLOGY
Journal of Hepatocellular Carcinoma Pub Date : 2025-01-21 eCollection Date: 2025-01-01 DOI:10.2147/JHC.S505028
Xing Wei, Ziwei Guo, Tingting Zhang, Jun Liang
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引用次数: 0

摘要

背景:晚期肝细胞癌(HCC)的预后非常令人担忧。预后评分已经被开发出来。然而,积极的预测值可能显得不够。本回顾性研究旨在建立一个快速有效的风险评分来评估预后和临床反应。方法:2015 - 2024年共纳入391例hCC患者,分为训练组和验证组。采用X-tile软件将患者分为高危组和低危组。采用COX比例风险模型分析方法,建立风险评分,并采用Kaplan-Meier、随时间变化的受试者工作特征(ROC)曲线和正态图分析对其进行检验。结果:在预测总生存期(OS)时,游离脂肪酸/高密度脂蛋白胆固醇(FFHL)、肿瘤大小和BCLC分期是独立的预后变量。在上面开发了一个新的风险评分,并将其用作预后因素(训练组和验证组的p < 0.001),并且无进展生存(PFS)具有高时间依赖性的ROC(曲线下面积[AUC] 0.688-0.789);AUC为0.592-0.741(验证组),OS为0.812-0.918(训练组);验证组的AUC为0.692-0.981)。与最佳总反应(BOR)相比,该评分能更准确地评估持久临床获益(DCB)(在训练和验证组中p < 0.001;P = 0.061 vs 0.001(训练和验证组)。结论:基于脂质标志物的评分是评价预后和鉴别DCB患者的有效工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Risk Score Based on Lipid Indicators for Patients with Advanced Hepatocellular Carcinoma.

Background: The prognosis is extremely troubling in advanced hepatocellular carcinoma (HCC). Prognostic scores have been developed. Yet, the positive predictive values might appear inadequate. This retrospective study aimed to develop a quick and efficient risk score to assess prognosis and clinical response.

Methods: A total of 391 hCC patients were enrolled and were divided into training and validation groups between 2015 and 2024. Patients were separated into high-risk and low-risk groups using X-tile software. Using the COX proportional risk model analysis method, we then created a risk score and examined them using Kaplan-Meier, time-dependent receiver operating characteristics (ROC) curve, and nomogram analysis.

Results: In predicting overall survival (OS), free fatty acid/high-density lipoprotein cholesterol (FFHL), tumor size, and BCLC stage were independent prognostic variables. A new risk score was developed just above and used as a prognostic factor (p < 0.001 in the training and validation groups) and had a high time-dependent ROC for progress-free survival (PFS) (area under the curve [AUC] 0.688-0.789 in the training group; AUC 0.592-0.741 in the validation group) and OS (AUC 0.812-0.918 in the training group; AUC 0.692-0.981 in the validation group). In comparison to the best overall response (BOR), the score offered a more accurate evaluation of durable clinical benefit (DCB) (p < 0.001 in the training and validation group; p = 0.061 vs 0.001 in the training and validation group).

Conclusion: A new score based on lipid markers is a useful tool for evaluating prognosis and distinguishing patients with DCB.

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来源期刊
CiteScore
0.50
自引率
2.40%
发文量
108
审稿时长
16 weeks
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