Department of Liver Surgery, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Department of Hepatobiliary Surgery, The Tumor Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Oncologist. 2020 Oct;25(10):e1552-e1561. doi: 10.1634/theoncologist.2019-0766. Epub 2020 Aug 6.
The predictive model of postsurgical recurrence for solitary early hepatocellular carcinoma (SE-HCC) is not well established. The aim of this study was to develop a novel model for prediction of postsurgical recurrence and survival for patients with hepatitis B virus (HBV)-related SE-HCC ≤10 cm.
Data from 1,081 patients with HBV-related SE-HCC ≤10 cm who underwent curative liver resection from 2003 to 2016 in our center were collected retrospectively and randomly divided into the derivation cohort (n = 811) and the internal validation cohort (n = 270). Eight hundred twenty-three patients selected from another four tertiary hospitals served as the external validation cohort. Postsurgical recurrence-free survival (RFS) and overall survival (OS) predictive nomograms were generated. The discriminatory accuracies of the nomograms were compared with six conventional hepatocellular carcinoma (HCC) staging systems.
Tumor size, differentiation, microscopic vascular invasion, preoperative α-fetoprotein, neutrophil-to-lymphocyte ratio, albumin-to-bilirubin ratio, and blood transfusion were identified as the risk factors associated with RFS and OS. RFS and OS predictive nomograms based on these seven variables were generated. The C-index was 0.83 (95% confidence interval [CI], 0.79-0.87) for the RFS-nomogram and 0.87 (95% CI, 0.83-0.91) for the OS-nomogram. Calibration curves showed good agreement between actual observation and nomogram prediction. Both C-indices of the two nomograms were substantially higher than those of the six conventional HCC staging systems (0.54-0.74 for RFS; 0.58-0.76 for OS) and those of HCC nomograms reported in literature.
The novel nomograms were shown to be accurate at predicting postoperative recurrence and OS for patients with HBV-related SE-HCC ≤10 cm after curative liver resection.
This multicenter study proposed recurrence or mortality predictive nomograms for patients with hepatitis B virus-related solitary early hepatocellular carcinoma ≤10 cm after curative liver resection. A close postsurgical surveillance protocol and adjuvant therapy should be considered for patients at high risk of recurrence.
对于单发早期肝细胞癌(SE-HCC)术后复发的预测模型尚未建立。本研究旨在为乙型肝炎病毒(HBV)相关的≤10cm 的 SE-HCC 患者建立一种新的预测术后复发和生存的模型。
回顾性收集了 2003 年至 2016 年期间在我院接受根治性肝切除术的 1081 例 HBV 相关的≤10cm 的 SE-HCC 患者的数据,并将其随机分为推导队列(n=811)和内部验证队列(n=270)。另外从另外四家三级医院中选择了 823 例患者作为外部验证队列。生成术后无复发生存(RFS)和总体生存(OS)预测列线图。比较了这些列线图的判别准确性与六个传统的肝细胞癌(HCC)分期系统。
肿瘤大小、分化程度、镜下血管侵犯、术前甲胎蛋白、中性粒细胞与淋巴细胞比值、白蛋白与胆红素比值和输血被确定为与 RFS 和 OS 相关的危险因素。基于这七个变量生成了 RFS 和 OS 预测列线图。RFS 列线图的 C 指数为 0.83(95%置信区间[CI],0.79-0.87),OS 列线图的 C 指数为 0.87(95%CI,0.83-0.91)。校准曲线显示实际观察结果与列线图预测之间具有良好的一致性。两个列线图的 C 指数均明显高于六个传统 HCC 分期系统(RFS 为 0.54-0.74;OS 为 0.58-0.76)和文献中报道的 HCC 列线图。
该新列线图可准确预测乙型肝炎病毒相关的单发早期肝细胞癌≤10cm 患者根治性肝切除术后的术后复发和 OS。对于术后复发风险较高的患者,应考虑密切的术后监测方案和辅助治疗。
这项多中心研究为接受根治性肝切除术后的乙型肝炎病毒相关单发早期肝细胞癌≤10cm 的患者提出了复发或死亡预测列线图。对于术后复发风险较高的患者,应考虑密切的术后监测方案和辅助治疗。