Cargando…

Morbidity, Prognostic Factors, and Competing Risk Nomogram for Combined Hepatocellular-Cholangiocarcinoma

BACKGROUND: Combined hepatocellular-cholangiocarcinoma (CHC) is a rare and heterogeneous histological subtype of primary liver cancer, which is still poorly understood. This study aimed to describe the epidemiological and clinical features, investigate the prognostic indicators, and develop a compet...

Descripción completa

Detalles Bibliográficos
Autores principales: Chen, Xiaoyuan, Lu, Yiwei, Shi, Xiaoli, Chen, Xuejiao, Rong, Dawei, Han, Guoyong, Zhang, Long, Ni, Chuangye, Zhao, Jie, Gao, Yun, Wang, Xuehao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683178/
https://www.ncbi.nlm.nih.gov/pubmed/34925507
http://dx.doi.org/10.1155/2021/3002480
_version_ 1784617356589268992
author Chen, Xiaoyuan
Lu, Yiwei
Shi, Xiaoli
Chen, Xuejiao
Rong, Dawei
Han, Guoyong
Zhang, Long
Ni, Chuangye
Zhao, Jie
Gao, Yun
Wang, Xuehao
author_facet Chen, Xiaoyuan
Lu, Yiwei
Shi, Xiaoli
Chen, Xuejiao
Rong, Dawei
Han, Guoyong
Zhang, Long
Ni, Chuangye
Zhao, Jie
Gao, Yun
Wang, Xuehao
author_sort Chen, Xiaoyuan
collection PubMed
description BACKGROUND: Combined hepatocellular-cholangiocarcinoma (CHC) is a rare and heterogeneous histological subtype of primary liver cancer, which is still poorly understood. This study aimed to describe the epidemiological and clinical features, investigate the prognostic indicators, and develop a competing risk nomogram for CHC. METHODS: The study cohort was taken from the Surveillance, Epidemiology, and End Results database. The annual percent change (APC) in incidence was calculated using the joinpoint regression. The nomogram was developed based on multivariate competing risk survival analyses and validated by calibration curves. Akaike information criterion, Bayesian information criterion, Harrell's C-index, and area under the receiver operating characteristic curves were obtained to compare prognostic performance. Decision curve analysis was introduced to examine the clinical value of the models. RESULTS: The overall incidence of CHC was 0.062 per 100,000 individuals in 2004 and 0.081 per 100,000 individuals in 2018, with an APC of 1.0% (P > 0.05). CHC displayed intermediate clinicopathological features of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Race, tumor size, vascular invasion, extrahepatic invasion, distant metastasis, grade, surgery, and Metavir stage were confirmed as the independent predictors of cancer-specific survival. The constructed nomogram was well calibrated, which showed better discrimination power and higher net benefits than the current American Joint Committee on Cancer staging system. Patients with liver transplantation had better survival than those with hepatectomy, especially patients within the Milan Criteria (P=0.022 and P=0.015). There was no survival difference between liver transplantation and hepatectomy in patients beyond the Milan Criteria (P=0.340). CONCLUSION: The morbidity of CHC remained stable between 2004 and 2018. The constructed nomogram could predict the prognosis with good performance, which was meaningful to individual treatment strategies optimization. CHC patients should also be considered as potential liver transplantation recipients, especially those within the Milan Criteria, but the finding still needs more evidence to be further confirmed.
format Online
Article
Text
id pubmed-8683178
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-86831782021-12-18 Morbidity, Prognostic Factors, and Competing Risk Nomogram for Combined Hepatocellular-Cholangiocarcinoma Chen, Xiaoyuan Lu, Yiwei Shi, Xiaoli Chen, Xuejiao Rong, Dawei Han, Guoyong Zhang, Long Ni, Chuangye Zhao, Jie Gao, Yun Wang, Xuehao J Oncol Research Article BACKGROUND: Combined hepatocellular-cholangiocarcinoma (CHC) is a rare and heterogeneous histological subtype of primary liver cancer, which is still poorly understood. This study aimed to describe the epidemiological and clinical features, investigate the prognostic indicators, and develop a competing risk nomogram for CHC. METHODS: The study cohort was taken from the Surveillance, Epidemiology, and End Results database. The annual percent change (APC) in incidence was calculated using the joinpoint regression. The nomogram was developed based on multivariate competing risk survival analyses and validated by calibration curves. Akaike information criterion, Bayesian information criterion, Harrell's C-index, and area under the receiver operating characteristic curves were obtained to compare prognostic performance. Decision curve analysis was introduced to examine the clinical value of the models. RESULTS: The overall incidence of CHC was 0.062 per 100,000 individuals in 2004 and 0.081 per 100,000 individuals in 2018, with an APC of 1.0% (P > 0.05). CHC displayed intermediate clinicopathological features of hepatocellular carcinoma and intrahepatic cholangiocarcinoma. Race, tumor size, vascular invasion, extrahepatic invasion, distant metastasis, grade, surgery, and Metavir stage were confirmed as the independent predictors of cancer-specific survival. The constructed nomogram was well calibrated, which showed better discrimination power and higher net benefits than the current American Joint Committee on Cancer staging system. Patients with liver transplantation had better survival than those with hepatectomy, especially patients within the Milan Criteria (P=0.022 and P=0.015). There was no survival difference between liver transplantation and hepatectomy in patients beyond the Milan Criteria (P=0.340). CONCLUSION: The morbidity of CHC remained stable between 2004 and 2018. The constructed nomogram could predict the prognosis with good performance, which was meaningful to individual treatment strategies optimization. CHC patients should also be considered as potential liver transplantation recipients, especially those within the Milan Criteria, but the finding still needs more evidence to be further confirmed. Hindawi 2021-12-10 /pmc/articles/PMC8683178/ /pubmed/34925507 http://dx.doi.org/10.1155/2021/3002480 Text en Copyright © 2021 Xiaoyuan Chen et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Chen, Xiaoyuan
Lu, Yiwei
Shi, Xiaoli
Chen, Xuejiao
Rong, Dawei
Han, Guoyong
Zhang, Long
Ni, Chuangye
Zhao, Jie
Gao, Yun
Wang, Xuehao
Morbidity, Prognostic Factors, and Competing Risk Nomogram for Combined Hepatocellular-Cholangiocarcinoma
title Morbidity, Prognostic Factors, and Competing Risk Nomogram for Combined Hepatocellular-Cholangiocarcinoma
title_full Morbidity, Prognostic Factors, and Competing Risk Nomogram for Combined Hepatocellular-Cholangiocarcinoma
title_fullStr Morbidity, Prognostic Factors, and Competing Risk Nomogram for Combined Hepatocellular-Cholangiocarcinoma
title_full_unstemmed Morbidity, Prognostic Factors, and Competing Risk Nomogram for Combined Hepatocellular-Cholangiocarcinoma
title_short Morbidity, Prognostic Factors, and Competing Risk Nomogram for Combined Hepatocellular-Cholangiocarcinoma
title_sort morbidity, prognostic factors, and competing risk nomogram for combined hepatocellular-cholangiocarcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8683178/
https://www.ncbi.nlm.nih.gov/pubmed/34925507
http://dx.doi.org/10.1155/2021/3002480
work_keys_str_mv AT chenxiaoyuan morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma
AT luyiwei morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma
AT shixiaoli morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma
AT chenxuejiao morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma
AT rongdawei morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma
AT hanguoyong morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma
AT zhanglong morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma
AT nichuangye morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma
AT zhaojie morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma
AT gaoyun morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma
AT wangxuehao morbidityprognosticfactorsandcompetingrisknomogramforcombinedhepatocellularcholangiocarcinoma