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非B、非C型肝细胞癌复发预测的术前和术后模型

Pre- and Postoperative Models for Prediction of Recurrence in Non-B, Non-C Hepatocellular Carcinoma.

作者信息

Lin Kongying, Huang Qizhen, Wang Lei, Zeng Jianxing, Ding Zongren, Liu Hongzhi, Fu Jun, Guo Pengfei, Chen Zhenwei, Zeng Yongyi, Zhou Weiping, Liu Jingfeng

机构信息

Department of Hepatopancreatobiliary Surgery, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China.

Department of Radiation Oncology, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, China.

出版信息

Front Oncol. 2021 Feb 18;11:612588. doi: 10.3389/fonc.2021.612588. eCollection 2021.

Abstract

BACKGROUND AND AIMS

The incidence of non-B, non-C hepatocellular carcinoma (NBNC-HCC) is increasing. Like in hepatitis B virus (HBC)/HCV-associated HCC, treatment of NBNC-HCC after resection is challenging due to its high recurrence rate. However, few studies on the recurrence of NBNC-HCC have been published in the past decades. Hence, we aimed to investigate the risk factors for recurrence of NBNC-HCC and construct pre- and postoperative prognostic models for predicting recurrence in these patients who underwent curative resection.

METHODS

We retrospectively analyzed 608 patients who underwent liver resection for NBNC-HCC. A multivariate Cox proportional hazard regression analysis was conducted to identify the independent risk factors of recurrence, based on which the prediction nomogram models were constructed and validated. The predictive performance of the models was assessed using the concordance index, time-dependent receiver operating characteristic curve, prediction error cure, and calibration curve. To facilitate clinical use, we stratified the patients into three distinct risk groups based on the score of the models. The cutoff scores of the models were determined by a survival tree analysis.

RESULTS

Multivariable analysis identified neutrophil-to-lymphocyte ratio, alpha fetoprotein, tumor number, and tumor diameter as independent preoperative risk factors for recurrence. In addition to these variables, microvascular invasion was an independent postoperative risk factor for recurrence. The pre- and postoperative nomograms were constructed based on these variables. The C-index of the pre- and postoperative nomograms was 0.689 and 0.702 in the training cohort, 0.682 and 0.688 in the validation cohort, respectively, which were both higher than those of the conventional Barcelona Clinic Liver Cancer (BCLC) and 8 edition of the American Joint Committee on Cancer (AJCC) staging systems. In addition, the pre- and postoperative nomograms could also re-stratify patients with BCLC stage 0/A or AJCC stage IA/IB/II into distinct risk groups.

CONCLUSIONS

We constructed pre- and postoperative prognostic models for predicting recurrence in patients with NBNC-HCC who underwent curative resection. They can play a supplementary role to the traditional staging system.

摘要

背景与目的

非B、非C型肝细胞癌(NBNC-HCC)的发病率正在上升。与乙型肝炎病毒(HBV)/丙型肝炎病毒(HCV)相关的肝细胞癌一样,NBNC-HCC切除术后的治疗具有挑战性,因为其复发率很高。然而,在过去几十年中,关于NBNC-HCC复发的研究很少发表。因此,我们旨在研究NBNC-HCC复发的危险因素,并构建术前和术后预后模型,以预测这些接受根治性切除的患者的复发情况。

方法

我们回顾性分析了608例接受NBNC-HCC肝切除术的患者。进行多变量Cox比例风险回归分析以确定复发的独立危险因素,并在此基础上构建和验证预测列线图模型。使用一致性指数、时间依赖性受试者工作特征曲线、预测误差校正和校准曲线评估模型的预测性能。为便于临床应用,我们根据模型得分将患者分为三个不同的风险组。模型的截断分数由生存树分析确定。

结果

多变量分析确定中性粒细胞与淋巴细胞比率、甲胎蛋白、肿瘤数量和肿瘤直径为复发的独立术前危险因素。除这些变量外,微血管侵犯是复发的独立术后危险因素。基于这些变量构建了术前和术后列线图。术前和术后列线图在训练队列中的C指数分别为0.689和0.702,在验证队列中分别为0.682和0.688,均高于传统的巴塞罗那临床肝癌(BCLC)和美国癌症联合委员会(AJCC)第8版分期系统。此外,术前和术后列线图还可以将BCLC 0/A期或AJCC IA/IB/II期患者重新分层为不同的风险组。

结论

我们构建了术前和术后预后模型,以预测接受根治性切除的NBNC-HCC患者的复发情况。它们可以对传统分期系统起到补充作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1778/7930483/d59e9cf30d94/fonc-11-612588-g001.jpg

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