临床外科杂志 ›› 2025, Vol. 33 ›› Issue (4): 410-415.doi: 10.3969/j.issn.1005-6483.20240167

• 论著 • 上一篇    下一篇

基于SEER数据库构建远处转移性肝细胞癌的预后预测模型

潘均昊,王春晖   

  1. 110000 沈阳,中国医科大学北部战区总医院研究生基地(潘均昊);北部战区总医院肝胆胰脾甲状腺外科(王春晖)
  • 收稿日期:2024-01-31 出版日期:2025-04-20 发布日期:2025-04-20
  • 通讯作者: 王春晖,Email:wangchh_2013@163.com
  • 基金资助:
    辽宁省自然科学基金项目(2021JH2/10300084)

Constructing a prognostic prediction model for distant metastatic hepatocellular carcinoma based upon SEER data

PAN Junhao,WANG Chunhui   

  1. Postgraduate Training Base of General Hospital of Northern Theater Command,China Medical University,Shenyang 110000,China
  • Received:2024-01-31 Online:2025-04-20 Published:2025-04-20

摘要: 目的 探讨影响远处转移性肝细胞癌(DMHCC)病人预后的危险因素,并构建预后列线图,对DMHCC病人的癌症特异性生存时间进行预测。方法 纳入SEER数据库2000~2018年符合纳入排除标准的病人619例,按照7∶3的比例随机分为两组,其中训练集433例,验证集186例。采用Cox回归分析筛选出影响DMHCC病人预后的独立危险因素,并构建列线图。采用一致性指数(C-index)、受试者工作特征(ROC)曲线下面积(AUC)和校准曲线评估预测模型的准确性,采用决策曲线(DCA)评估列线图的临床净收益率。利用Kaplan-Meier生存曲线和Log-rank检验分析高、低风险两组之间的生存差异。结果 多因素Cox回归分析结果显示,肿瘤直径、肿瘤分化程度、T分期、是否手术、化疗、放疗是影响DMHCC病人预后的独立危险因素。利用上述指标构建列线图,训练集中一致性指数为0.720 (95%CI:0.693~0.747),1、2、3年生存的AUC分别为 0.790、0.778 和 0.795。验证集中一致性指数为0.673(95%CI:0.626~0.720),1、2、3年生存的AUC分别为 0.741、0.782 和 0.824。基于列线图风险得分进行分层后发现低风险组预后明显好于高风险组。结论 该预测模型具有良好的预测效能,有助于帮助临床决策和个体化治疗。

关键词: 肝细胞癌, 远处转移, 预后, 列线图

Abstract: Objective To explore prognostic factors of patients with distant metastatic hepatocellular carcinoma (DMHCC) and construct a survival prognosis nomogram to predict cancer-specific survival (CSS) for DMHCC patients.Methods A total of 619 patients from the SEER database (2000-2018) were included after strict inclusion and exclusion criteria.They were randomly divided into two groups at a ratio of 7〖DK〗∶3,among which there were 433 cases in the training set and 186 cases in the validation set.Cox regression analysis was used to screen out the independent risk factors affecting the prognosis of patients with DMHCC,and a nomogram was constructed.The predictive accuracy of the nomogram was determined by concordance index (C-index),receiver operating characteristic(ROC) and calibration curves.The clinical net benefit of the nomogram was assessed using decision curve analysis (DCA).Kaplan-Meier survival curves and Log-rank tests were performed for examining survival differences between high and low-risk groups.Results Multivariate Cox regression analysis revealed that tumor size,degree of tumor differentiation,T stage,whether or not surgery,chemotherapy or radiotherapy were independent risk factors influencing the prognosis of DMHCC patients.The nomogram,based on these factors,demonstrated good predictive performance in the training set with a C-index of 0.720 (95%CI:0.693-0.747),and area under the ROC curve at1,2,and3 years was 0.790,0.778,and 0.795,respectively.In the validation set,the C-index was 0.673 (95%CI:0.626-0.720),and area under the ROC curve at 1,2,and 3 years was 0.741,0.782,and 0.824,respectively.Risk stratification was performed with the nomogram.Kaplan-Meier survival curve indicated that for both training and validation sets,low-risk group had a significantly better prognosis than high-risk group.Conclusion This prediction model exhibits good predictive efficacy,providing valuable support for clinical decision-making and personalized treatment strategies in DMHCC patients.

Key words: hepatocellular carcinoma, distant metastasis, prognosis, nomogram

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