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

Abstract Background Our 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. Methods Two hundred and thirty patients diagnosed with CHCC between 2004 and 2015 were r...

Full description

Bibliographic Details
Main Authors: Chaobin He, Yu Zhang, Zhiyuan Cai, Xiaojun Lin
Format: Article
Language:English
Published: BMC 2019-02-01
Series:BMC Cancer
Subjects:
Online Access:http://link.springer.com/article/10.1186/s12885-019-5398-6
id doaj-c1cda60c9841429189bf222c50dfb30e
record_format Article
spelling doaj-c1cda60c9841429189bf222c50dfb30e2020-11-25T01:10:23ZengBMCBMC Cancer1471-24072019-02-0119111210.1186/s12885-019-5398-6Competing risk analyses of overall survival and cancer-specific survival in patients with combined hepatocellular cholangiocarcinoma after surgeryChaobin He0Yu Zhang1Zhiyuan Cai2Xiaojun Lin3Department of Hepatobiliary and Pancreatic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer CenterState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen UniversityDepartment of Hepatobiliary and Pancreatic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer CenterDepartment of Hepatobiliary and Pancreatic Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer CenterAbstract Background Our 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. Methods Two 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). Results In 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. Conclusion We 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.http://link.springer.com/article/10.1186/s12885-019-5398-6Combined hepatocellular cholangiocarcinomaOverall survivalCancer-specific survivalNomogramPrognosis
collection DOAJ
language English
format Article
sources DOAJ
author Chaobin He
Yu Zhang
Zhiyuan Cai
Xiaojun Lin
spellingShingle Chaobin He
Yu Zhang
Zhiyuan Cai
Xiaojun Lin
Competing risk analyses of overall survival and cancer-specific survival in patients with combined hepatocellular cholangiocarcinoma after surgery
BMC Cancer
Combined hepatocellular cholangiocarcinoma
Overall survival
Cancer-specific survival
Nomogram
Prognosis
author_facet Chaobin He
Yu Zhang
Zhiyuan Cai
Xiaojun Lin
author_sort Chaobin He
title Competing risk analyses of overall survival and cancer-specific survival in patients with combined hepatocellular cholangiocarcinoma after surgery
title_short Competing risk analyses of overall survival and cancer-specific survival in patients with combined hepatocellular cholangiocarcinoma after surgery
title_full Competing risk analyses of overall survival and cancer-specific survival in patients with combined hepatocellular cholangiocarcinoma after surgery
title_fullStr Competing risk analyses of overall survival and cancer-specific survival in patients with combined hepatocellular cholangiocarcinoma after surgery
title_full_unstemmed Competing risk analyses of overall survival and cancer-specific survival in patients with combined hepatocellular cholangiocarcinoma after surgery
title_sort competing risk analyses of overall survival and cancer-specific survival in patients with combined hepatocellular cholangiocarcinoma after surgery
publisher BMC
series BMC Cancer
issn 1471-2407
publishDate 2019-02-01
description Abstract Background Our 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. Methods Two 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). Results In 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. Conclusion We 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.
topic Combined hepatocellular cholangiocarcinoma
Overall survival
Cancer-specific survival
Nomogram
Prognosis
url http://link.springer.com/article/10.1186/s12885-019-5398-6
work_keys_str_mv AT chaobinhe competingriskanalysesofoverallsurvivalandcancerspecificsurvivalinpatientswithcombinedhepatocellularcholangiocarcinomaaftersurgery
AT yuzhang competingriskanalysesofoverallsurvivalandcancerspecificsurvivalinpatientswithcombinedhepatocellularcholangiocarcinomaaftersurgery
AT zhiyuancai competingriskanalysesofoverallsurvivalandcancerspecificsurvivalinpatientswithcombinedhepatocellularcholangiocarcinomaaftersurgery
AT xiaojunlin competingriskanalysesofoverallsurvivalandcancerspecificsurvivalinpatientswithcombinedhepatocellularcholangiocarcinomaaftersurgery
_version_ 1725174974170267648