Key Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical University, Chongqing, China.
The Key Laboratory of Molecular Biology of Infectious Diseases Designated by the Chinese Ministry of Education, Chongqing Medical University, Chongqing, China.
Expert Rev Anticancer Ther. 2024 Aug;24(8):781-788. doi: 10.1080/14737140.2024.2369129. Epub 2024 Jun 17.
This study aimed to explore the factors affecting the overall survival (OS) of giant hepatocellular carcinoma (G-HCC) patients and establish a nomogram and an Internet-based OS calculator for evaluating the OS of G-HCC patients.
A total of 2445 G-HCC patients were searched in the SEER database. The independent variables affecting OS of G-HCC patients were determined by univariate and multivariate analyses, and a nomogram and Internet-based OS calculator were established. The accuracy of the nomogram was evaluated by the C-index, the AUC curve, and calibration curve.
Grade, surgery, radiotherapy, chemotherapy, T-staging, M-staging, AFP, and fibrosis were identified as independent variables affecting OS. These variables were included in the nomogram model and Internet-based OS calculator to evaluate OS in G-HCC patients. The C-indices and AUC of the nomogram are better than AJCC-staging system. Similarly, the calibration curves revealed that the actual survival was consistent with nomogram-based survival.
The nomogram and Internet-based OS calculator are superior to the traditional AJCC-staging system in the reliability and convenience of prognosis assessment for G-HCC patients, which is more conducive for clinicians to predict the survival of G-HCC patients and make the best treatment strategy.
本研究旨在探讨影响巨肝细胞癌（G-HCC）患者总生存期（OS）的因素，并建立列线图和基于互联网的 OS 计算器，以评估 G-HCC 患者的 OS。
在 SEER 数据库中搜索了 2445 例 G-HCC 患者。通过单因素和多因素分析确定影响 G-HCC 患者 OS 的独立变量，并建立列线图和基于互联网的 OS 计算器。通过 C 指数、AUC 曲线和校准曲线评估列线图的准确性。
分级、手术、放疗、化疗、T 分期、M 分期、AFP 和纤维化被确定为影响 OS 的独立变量。这些变量被纳入列线图模型和基于互联网的 OS 计算器中，以评估 G-HCC 患者的 OS。列线图的 C 指数和 AUC 优于 AJCC 分期系统。同样，校准曲线表明实际生存与基于列线图的生存一致。
与传统的 AJCC 分期系统相比，列线图和基于互联网的 OS 计算器在评估 G-HCC 患者预后的可靠性和便利性方面具有优势，更有利于临床医生预测 G-HCC 患者的生存情况并制定最佳治疗策略。
