Competing risk analyses of overall survival and cancer-specific survival in patients with combined hepatocellular cholangiocarcinoma after surgery

被引:22
作者
He, Chaobin [1 ]
Zhang, Yu [2 ]
Cai, Zhiyuan [1 ]
Lin, Xiaojun [1 ]
机构
[1] Sun Yat Sen Univ, Collaborat Innovat Ctr Canc Med, State Key Lab Oncol South China, Dept Hepatobiliary & Pancreat Surg,Canc Ctr, Guangzhou 510060, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Zhongshan Ophthalm Ctr, State Key Lab Ophthalmol, Guangzhou 510060, Guangdong, Peoples R China
关键词
Combined hepatocellular cholangiocarcinoma; Overall survival; Cancer-specific survival; Nomogram; Prognosis; CLINICAL-FEATURES; HEPATITIS-B; CARCINOMA; NOMOGRAM; IMPACT; DEATH; TUMOR; MODEL;
D O I
10.1186/s12885-019-5398-6
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
BackgroundOur objective was to identify risk factors affecting overall survival (OS) and cancer-specific survival (CSS) and build nomograms to predict survival based on a large population-based cohort.MethodsTwo hundred and thirty patients diagnosed with CHCC between 2004 and 2015 were retrospectively extracted from the Surveillance, Epidemiology, and End Results (SEER) database as a training cohort. In addition, Ninety-nine patients diagnosed with CHCC between 2000 and 2017 were retrospectively extracted from Sun Yat-Sen University Cancer Center (SYSUCC) as an external validation. Nomograms for predicting probability of OS and CSS were established. Performance of the nomograms was measured by concordance index (C-index) and the area under receiver operating characteristic (ROC) curve (AUC).ResultsIn training cohort, the 1-, 2 and 3-year OS were 67.7, 46.8 and 37.9%, and the 1-, 2 and 3-year CSS were 73.1, 52.0 and 43.0%, respectively. The established nomograms were well calibrated in both training and validation cohort, with concordance indexes (C-index) of 0.652 and 0.659, respectively for OS prediction; 0.706 and 0.763, respectively for CSS prediction. Nomograms also displayed better discriminatory compared with 8th edition tumor-node-metastasis (TNM) stage system for predicting OS and CSS.ConclusionWe constructed nomograms to predict OS and CSS based on a relatively large cohort. The established nomograms were well validated and could serve to improve predictions of survival risks and guide management of patients with CHCC after surgery.
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页数:12
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