基于门静脉肿瘤血栓形成的肝细胞癌患者血小板和 CD8+T 细胞计数的新型预后提名图的开发与验证

IF 4.2 3区 医学 Q2 ONCOLOGY
Journal of Hepatocellular Carcinoma Pub Date : 2024-06-07 eCollection Date: 2024-01-01 DOI:10.2147/JHC.S452688
Wanxin Shi, Huiwen Yan, Xiaoli Liu, Lihua Yu, Yuqing Xie, Yuan Wu, Yuling Liang, Zhiyun Yang
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引用次数: 0

摘要

目的:门静脉肿瘤血栓形成(PVTT)是晚期肝细胞癌(HCC)的标志之一。血小板(PLT)功能参数和 CD8+T 细胞(CD8+Ts)在 HCC 进展和转移中发挥着重要作用。本研究致力于建立一个有效的预后预测模型,并探讨血小板和CD8+Ts对PVTT预后的联合影响:这项回顾性研究收集了2007年至2017年期间932名患有PVTT的HCC患者,并将其随机分为训练队列(n = 656)和验证队列(n = 276)。我们进行了多变量 Cox 回归分析和弹性网回归分析,构建了一个提名图,并使用 Kaplan-Meier 生存曲线比较了不同子群的总生存率和无进展生存率。同时还分析了相关指标之间的关系:结果:我们发现肿瘤数目、大小、治疗、PLT、γ-谷氨酰转移酶、甲胎蛋白、平均血小板体积和CD8+Ts与PVTT患者的5年OS有关,并建立了一个提名图。在训练组和验证组中,预测 1 年 OS 率的接收者操作特征曲线下面积(AUC)分别为 0.767 和 0.794。校准曲线和决策曲线显示了其预测的一致性和强大的临床实用性。我们还发现,低PLT(+Ts,>320 cells/μL)的患者预后较好:我们根据血小板功能参数和 CD8+Ts 建立了一个性能良好的 PVTT 预后模型,并发现 PLT 和 CD8+Ts 形成的 PT-8 能很好地预测 PVTT 的预后。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Validation of a Novel Prognostic Nomogram Based on Platelet and CD8+T Cell Counts in Hepatocellular Carcinoma Patients with Portal Vein Tumor Thrombosis.

Purpose: Portal vein tumor thrombosis (PVTT) is one of the hallmarks of advanced Hepatocellular carcinoma (HCC). Platelet (PLT) function parameters and CD8+T cells (CD8+Ts) play an important role in HCC progression and metastasis. This study is committed to establishing an efficient prognosis prediction model and exploring the combined effect of PLT and CD8+Ts on PVTT prognosis.

Patients and methods: This retrospective study collected 932 HCC patients with PVTT from 2007 to 2017 and randomly divided them into a training cohort (n = 656) and a validation cohort (n = 276). We performed multivariable Cox and Elastic-net regression analysis, constructed a nomogram and used Kaplan-Meier survival curves to compare overall survival and progression-free survival rates in different substrata. Relationships between indicators involved were also analyzed.

Results: We found tumor number, size, treatment, PLT, γ-glutamyl transferase, alpha-fetoprotein, mean platelet volume, and CD8+Ts were related to the 5-year OS of patients with PVTT, and established a nomogram. The area under the receiver operating characteristic curve (AUCs) for predicting the 1-year OS rates were 0.767 and 0.794 in training and validation cohorts. The calibration curve and decision curve indicated its predictive consistency and strong clinical utility. We also found those with low PLT (<100*10^9/L) and high CD8+Ts (>320 cells/μL) had a better prognosis.

Conclusion: We established a well-performing prognostic model for PVTT based on platelet functional parameters and CD8+Ts, and found that PT-8 formed by PLT and CD8+Ts was an excellent predictor of the prognosis of PVTT.

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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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