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为患有远程转移性肝细胞癌的患者建立预后名录和风险分层系统:基于人口的研究

Qiuhan Heng¹, Ying Leng², Gang Bai¹

¹Department of the School of Medical and Life Sciences, Chengdu University of Traditional Chinese Medicine, Chengdu, China.

|June 17, 2025

概括

这项研究开发了一种癌症特异性存活率的预测名录,用于远转移性肝细胞癌 (DM-HCC) 患者. 该模型准确预测预后,有助于改善晚期肝癌的存活率.

科学领域:

在瘤学瘤学.
医学统计医学统计
癌症研究癌症研究

背景情况:

远程转移性肝细胞癌 (DM-HCC) 是肝癌最晚的阶段.
有效的预后模型对于管理DM-HCC和改善患者的治疗结果至关重要.

研究的目的:

开发和验证DM-HCC患者癌症特异性生存率 (CSS) 的预测模型.
确定DM-HCC患者中CSS的独立预测因子.

主要方法:

利用了来自监测,流行病学和最终结果 (SEER) 数据库 (651名患者,2010-2017年) 的数据.
采用考克斯回归分析来确定预后因素.
为可视化生存预测开发了一个名图.
使用一致性指数 (C指数),ROC曲线,校准曲线和决策曲线分析验证了名ogram.

主要成果:

多变量分析确定了α-fetoprotein (AFP) 表达,等级,T阶段,肺转移,手术,放射和化疗作为CSS的独立预测因素.
诺米图表显示出良好的预测准确性,C指数为0.721 (训练) 和0.726 (验证).
时间依赖的AUC值在0.766到0.834之间,表明在不同时间点的可靠预测性能.

结论:

成功开发并验证了一种用于预测DM-HCC预后的高精度名图.
诺米图和相关的风险分层系统可以帮助临床医生提高患者的生存率和预后.
这种工具为管理晚期肝癌提供了有价值的临床应用.

关键词:

癌症特异性生存率癌症特异性生存率遥远的转移性转移.肝细胞癌是肝细胞癌.这个名字是名ogramogram.

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