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基于γ-谷氨酰转肽酶与血小板比值的预后列线图在局部消融后代偿期肝硬化肝细胞癌患者中的应用

Prognostic nomogram based on the gamma-glutamyl transpeptidase-to-platelet ratio for patients with compensated cirrhotic hepatocellular carcinoma after local ablation.

作者信息

Qiao Wenying, Li Jiashuo, Wang Peiyi, Zhang Yuanyuan, Jin Ronghua, Li Jianjun

机构信息

Hepatic Disease and Oncology Minimally Invasive Interventional Center, Beijing You'an Hospital, Capital Medical University, Beijing, China.

Beijing Ditan Hospital, Capital Medical University, Beijing, China.

出版信息

Front Oncol. 2024 Jul 11;14:1406764. doi: 10.3389/fonc.2024.1406764. eCollection 2024.

Abstract

BACKGROUND

Hepatocellular carcinoma (HCC) patients with compensated cirrhosis typically face a high prevalence and unfavorable prognosis. However, there is currently a deficiency in prediction models to anticipate the prognosis of these patients. Therefore, our study included the Gamma-glutamyl transpeptidase-to-platelet ratio (GPR) in analysis and aimed to develop a nomogram for HCC patients with compensated cirrhosis after local ablation.

METHODS

Enrolling 669 patients who underwent local ablation at Beijing You'an Hospital during the period from January 1, 2014, to December 31, 2022, this study focused on individuals with compensated cirrhotic HCC. In a ratio of 7:3, patients were allocated to the training cohort (n=468) and the validation cohort (n=201). Lasso-Cox regression was employed to identify independent prognostic factors for overall survival (OS). Subsequently, a nomogram was constructed using these factors and was validated through receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).

RESULTS

GPR, age, and hemoglobin were identified by Lasso-Cox regression as independent prognostic factors of the nomogram. The area under the ROC curves (AUCs) for 3-, 5-, and 8-year OS (0.701, 0.755, and 0.768 for the training cohort; 0.684, 0.707, and 0.778 for the validation cohort), and C-indices (0.695 for training cohort; 0.679 for validation cohort) exhibited the excellent predictive ability of the nomogram. Calibration curves and DCA curves indicated favorable calibration performance and clinical utility. Patients were further stratified into two risk groups according to the median nomogram score. There existed an obvious distinction between the two groups both in the training cohort and validation cohort.

CONCLUSION

In summary, this research established and validated a novel nomogram to predict OS, which had good predictive power for HCC patients with compensated cirrhosis after local ablation.

摘要

背景

代偿期肝硬化的肝细胞癌(HCC)患者通常具有较高的患病率和不良预后。然而,目前缺乏预测这些患者预后的模型。因此,我们的研究将γ-谷氨酰转肽酶与血小板比值(GPR)纳入分析,旨在为接受局部消融后的代偿期肝硬化HCC患者开发一种列线图。

方法

本研究纳入了2014年1月1日至2022年12月31日期间在北京佑安医院接受局部消融的669例患者,重点关注代偿期肝硬化HCC患者。按照7:3的比例,将患者分为训练队列(n = 468)和验证队列(n = 201)。采用Lasso-Cox回归确定总生存期(OS)的独立预后因素。随后,使用这些因素构建列线图,并通过受试者操作特征(ROC)曲线、校准曲线和决策曲线分析(DCA)进行验证。

结果

Lasso-Cox回归确定GPR、年龄和血红蛋白为列线图的独立预后因素。训练队列3年、5年和8年OS的ROC曲线下面积(AUC)分别为0.701、0.755和0.768;验证队列分别为0.684、0.707和0.778,C指数(训练队列为0.695;验证队列为0.679)显示列线图具有出色的预测能力。校准曲线和DCA曲线表明校准性能良好且具有临床实用性。根据列线图评分中位数将患者进一步分为两个风险组。训练队列和验证队列中两组之间均存在明显差异。

结论

总之,本研究建立并验证了一种预测OS的新型列线图,该列线图对局部消融后代偿期肝硬化HCC患者具有良好的预测能力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37eb/11269228/c38d2467984f/fonc-14-1406764-g001.jpg

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