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肝细胞癌七种分期系统的验证与排名

Validation and ranking of seven staging systems of hepatocellular carcinoma.

作者信息

Chen Zhan-Hong, Hong Ying-Fen, Lin Jinxiang, Li Xing, Wu Dong-Hao, Wen Jing-Yun, Chen Jie, Ruan Dan-Yun, Lin Qu, Dong Min, Wei Li, Wang Tian-Tian, Lin Ze-Xiao, Ma Xiao-Kun, Wu Xiang-Yuan, Xu Ruihua

机构信息

Department of Medical Oncology and Guangdong Key Laboratory of Liver Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong 510630, P.R. China.

Department of Medical Oncology of Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong 510060, P.R. China.

出版信息

Oncol Lett. 2017 Jul;14(1):705-714. doi: 10.3892/ol.2017.6222. Epub 2017 May 22.

DOI:10.3892/ol.2017.6222
PMID:28693224
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5494763/
Abstract

The aim of the present study was to evaluate the ability of seven staging systems to predict 3- and 6-month and cumulative survival rates of patients with advanced hepatitis B virus (HBV)-associated hepatocellular carcinoma (HCC). Data were collected from 220 patients with HBV-associated HCC who did not receive any standard anticancer treatment. Participants were patients at The Third Affiliated Hospital of Sun Yat-sen University from September 2008 to June 2010. The participants were classified according to the Chinese University Prognostic Index (CUPI), the Cancer of the Liver Italian Program (CLIP), Japan Integrated Staging (JIS), China Integrated Score (CIS) systems, Barcelona Clinic Liver Cancer (BCLC), Okuda and tumor-node-metastasis (TNM) staging systems at the time of diagnosis and during patient follow-up. The sensitivity and specificity of the predictive value of each staging system for 3- and 6-month mortality were analyzed by relative operating characteristic (ROC) curve analysis with a non-parametric test being used to compare the area under curve (AUC) of the ROC curves. In addition, log-rank tests and Kaplan-Meier estimator survival curves were applied to compare the overall survival rates of the patients with HCC defined as advanced using the various staging systems, and the Akaike information criterion (AIC) and likelihood ratio tests (LRTs) were used to evaluate the predictive value for overall survival in patients with advanced HCC. Using univariate and multivariate Cox's model analyses, the factors predictive of survival were also identified. A total of 220 patients with HBV-associated HCC were analyzed. Independent prognostic factors identified by multivariate analyses included tumor size, α-fetoprotein levels, blood urea nitrogen levels, the presence or absence of portal vein thrombus, Child-Pugh score and neutrophil count. When predicting 3-month survival, the AUCs of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 0.806, 0.772, 0.751, 0.731, 0.643, 0.754 and 0.622, respectively. When predicting 6-month survival, the AUCs of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 0.828, 0.729, 0.717, 0.692, 0.664, 0.746 and 0.575, respectively. For 3-month mortality, the prognostic value of CLIP ranked highest, followed by CIS; for 6-month mortality, the prognostic value of CLIP also ranked highest, followed by JIS. No significant difference between the AUCs of CLIP and CIS (P>0.05) in their predictive value for 3-month mortality was observed. The AUC of CLIP was significantly higher compared with that of the other staging systems (P<0.05) for predicting 6-month mortality. The χ values from the LRTs of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 75.6, 48.4, 46.7, 36.0, 21.0, 46.8 and 7.24, respectively. The AIC values of CLIP, CIS, CUPI, Okuda, TNM, JIS and BCLC were 1601.5, 1632.3, 1629.9, 1641.1, 1654.8, 1627.4 and 1671.1, respectively. CLIP exhibited the highest χ value and lowest AIC value, indicating that CLIP has the highest predictive value of cumulative survival rate. In the selected patients of the present study, CLIP was the staging system best able to predict 3- and 6-month and overall survival rates. CIS ranked second in predicting 3-month mortality.

摘要

本研究的目的是评估七种分期系统预测晚期乙型肝炎病毒(HBV)相关肝细胞癌(HCC)患者3个月、6个月及累积生存率的能力。数据收集自220例未接受任何标准抗癌治疗的HBV相关HCC患者。研究对象为2008年9月至2010年6月在中山大学附属第三医院就诊的患者。根据中国大学预后指数(CUPI)、意大利肝癌项目(CLIP)、日本综合分期(JIS)、中国综合评分(CIS)系统、巴塞罗那临床肝癌(BCLC)、奥田和肿瘤-淋巴结-转移(TNM)分期系统,在诊断时及患者随访期间对研究对象进行分类。采用相对操作特征(ROC)曲线分析,通过非参数检验比较ROC曲线下面积(AUC),分析各分期系统对3个月和6个月死亡率预测值的敏感性和特异性。此外,应用对数秩检验和Kaplan-Meier估计生存曲线比较使用不同分期系统定义为晚期的HCC患者的总生存率,并使用赤池信息准则(AIC)和似然比检验(LRT)评估晚期HCC患者总生存的预测价值。通过单因素和多因素Cox模型分析,还确定了生存的预测因素。共分析了220例HBV相关HCC患者。多因素分析确定的独立预后因素包括肿瘤大小、甲胎蛋白水平、血尿素氮水平、门静脉血栓的有无、Child-Pugh评分和中性粒细胞计数。预测3个月生存率时,CLIP、CIS、CUPI、奥田、TNM、JIS和BCLC的AUC分别为0.806、0.772、0.751、0.731、0.643、0.754和0.622。预测6个月生存率时,CLIP、CIS、CUPI、奥田、TNM、JIS和BCLC 的AUC分别为0.828、0.729、0.717、0.692、0.664、0.746和0.575。对于3个月死亡率,CLIP的预后价值最高,其次是CIS;对于6个月死亡率,CLIP的预后价值也最高,其次是JIS。在预测3个月死亡率的预测价值方面,未观察到CLIP和CIS的AUC之间存在显著差异(P>0.05)。在预测6个月死亡率方面,CLIP的AUC显著高于其他分期系统(P<0.05)。CLIP、CIS、CUPI、奥田、TNM、JIS和BCLC的LRT的χ值分别为75.6、48.4、46.7、36.0、21.0、46.8和7.24。CLIP、CIS、CUPI、奥田、TNM、JIS和BCLC的AIC值分别为1601.5、1632.3、1629.9、1641.1、1654.8、16二7.4和1671.1。CLIP的χ值最高,AIC值最低,表明CLIP对累积生存率的预测价值最高。在本研究的入选患者中,CLIP是最能预测3个月和个月生存率及总生存率的分期系统。在预测3个月死亡率方面,CIS排名第二。

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