Cargando…
CHIC Risk Stratification System for Predicting the Survival of Children With Hepatoblastoma: Data From Children With Hepatoblastoma in China
OBJECTIVE: The aim of this study was to compare the accuracy of the Children’s Oncology Group (COG) risk stratification system to the Children’s Hepatic tumor International Collaboration (CHIC) risk stratification system for predicting the prognosis of Chinese children with hepatoblastoma (HB). METH...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708347/ https://www.ncbi.nlm.nih.gov/pubmed/33312943 http://dx.doi.org/10.3389/fonc.2020.552079 |
_version_ | 1783617542595543040 |
---|---|
author | Huang, Junting Hu, Yang Jiang, Hong Xu, Yanjie Lu, Suying Sun, Feifei Zhu, Jia Wang, Juan Sun, Xiaofei Liu, Juncheng Zhen, Zijun Zhang, Yizhuo |
author_facet | Huang, Junting Hu, Yang Jiang, Hong Xu, Yanjie Lu, Suying Sun, Feifei Zhu, Jia Wang, Juan Sun, Xiaofei Liu, Juncheng Zhen, Zijun Zhang, Yizhuo |
author_sort | Huang, Junting |
collection | PubMed |
description | OBJECTIVE: The aim of this study was to compare the accuracy of the Children’s Oncology Group (COG) risk stratification system to the Children’s Hepatic tumor International Collaboration (CHIC) risk stratification system for predicting the prognosis of Chinese children with hepatoblastoma (HB). METHODS: Clinicopathological data of 86 patients diagnosed with HB between January 2014 and December 2017 were retrieved. The study endpoints were the 1- and 3-year overall survival (OS) and disease-free survival (DFS) were analyzed to evaluate the predictive value. RESULTS: The 1-, 3-year OS and DFS of the 86 patients were 86.0%, 76.3%, and 74.4%, 54.0%, respectively. Univariate analyses revealed that age at diagnosis had a significant role in prognosis for both OS and DFS, along with PRETEXT staging and metastasis at diagnosis. Multivariate analysis showed that metastasis at diagnosis (HR 3.628, 95% CI 1.404-9.378, P=0.008), PRETEXT staging system (HR 2.176, 95% CI 1.230-3.849, P=0.008) and age at diagnosis (HR 2.268, 95% CI 1.033-4.982, P=0.041) were independent factors for OS. For DFS, the independent factors were the PRETEXT staging system (HR 2.241, 95% CI 1.533-3.277, P<0.001) and age at diagnosis (HR 1.792, 95% CI 1.018-3.154, P=0.043). Both COG and CHIC risk stratification systems could effectively predict the prognosis of children with HB for OS. For DFS, the CHIC risk stratification system was more effective. In addition, the CHIC risk stratification system had a higher c-index (OS 0.743, DFS 0.730), compared to the COG risk stratification system (OS 0.726, DFS 0.594). CONCLUSION: Age at diagnosis played a significant role in prognosis. Compared to the COG risk stratification system, the CHIC risk stratification system was superior in predicting the survival of Chinese children with HB. |
format | Online Article Text |
id | pubmed-7708347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-77083472020-12-11 CHIC Risk Stratification System for Predicting the Survival of Children With Hepatoblastoma: Data From Children With Hepatoblastoma in China Huang, Junting Hu, Yang Jiang, Hong Xu, Yanjie Lu, Suying Sun, Feifei Zhu, Jia Wang, Juan Sun, Xiaofei Liu, Juncheng Zhen, Zijun Zhang, Yizhuo Front Oncol Oncology OBJECTIVE: The aim of this study was to compare the accuracy of the Children’s Oncology Group (COG) risk stratification system to the Children’s Hepatic tumor International Collaboration (CHIC) risk stratification system for predicting the prognosis of Chinese children with hepatoblastoma (HB). METHODS: Clinicopathological data of 86 patients diagnosed with HB between January 2014 and December 2017 were retrieved. The study endpoints were the 1- and 3-year overall survival (OS) and disease-free survival (DFS) were analyzed to evaluate the predictive value. RESULTS: The 1-, 3-year OS and DFS of the 86 patients were 86.0%, 76.3%, and 74.4%, 54.0%, respectively. Univariate analyses revealed that age at diagnosis had a significant role in prognosis for both OS and DFS, along with PRETEXT staging and metastasis at diagnosis. Multivariate analysis showed that metastasis at diagnosis (HR 3.628, 95% CI 1.404-9.378, P=0.008), PRETEXT staging system (HR 2.176, 95% CI 1.230-3.849, P=0.008) and age at diagnosis (HR 2.268, 95% CI 1.033-4.982, P=0.041) were independent factors for OS. For DFS, the independent factors were the PRETEXT staging system (HR 2.241, 95% CI 1.533-3.277, P<0.001) and age at diagnosis (HR 1.792, 95% CI 1.018-3.154, P=0.043). Both COG and CHIC risk stratification systems could effectively predict the prognosis of children with HB for OS. For DFS, the CHIC risk stratification system was more effective. In addition, the CHIC risk stratification system had a higher c-index (OS 0.743, DFS 0.730), compared to the COG risk stratification system (OS 0.726, DFS 0.594). CONCLUSION: Age at diagnosis played a significant role in prognosis. Compared to the COG risk stratification system, the CHIC risk stratification system was superior in predicting the survival of Chinese children with HB. Frontiers Media S.A. 2020-11-18 /pmc/articles/PMC7708347/ /pubmed/33312943 http://dx.doi.org/10.3389/fonc.2020.552079 Text en Copyright © 2020 Huang, Hu, Jiang, Xu, Lu, Sun, Zhu, Wang, Sun, Liu, Zhen and Zhang http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Huang, Junting Hu, Yang Jiang, Hong Xu, Yanjie Lu, Suying Sun, Feifei Zhu, Jia Wang, Juan Sun, Xiaofei Liu, Juncheng Zhen, Zijun Zhang, Yizhuo CHIC Risk Stratification System for Predicting the Survival of Children With Hepatoblastoma: Data From Children With Hepatoblastoma in China |
title | CHIC Risk Stratification System for Predicting the Survival of Children With Hepatoblastoma: Data From Children With Hepatoblastoma in China |
title_full | CHIC Risk Stratification System for Predicting the Survival of Children With Hepatoblastoma: Data From Children With Hepatoblastoma in China |
title_fullStr | CHIC Risk Stratification System for Predicting the Survival of Children With Hepatoblastoma: Data From Children With Hepatoblastoma in China |
title_full_unstemmed | CHIC Risk Stratification System for Predicting the Survival of Children With Hepatoblastoma: Data From Children With Hepatoblastoma in China |
title_short | CHIC Risk Stratification System for Predicting the Survival of Children With Hepatoblastoma: Data From Children With Hepatoblastoma in China |
title_sort | chic risk stratification system for predicting the survival of children with hepatoblastoma: data from children with hepatoblastoma in china |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7708347/ https://www.ncbi.nlm.nih.gov/pubmed/33312943 http://dx.doi.org/10.3389/fonc.2020.552079 |
work_keys_str_mv | AT huangjunting chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT huyang chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT jianghong chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT xuyanjie chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT lusuying chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT sunfeifei chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT zhujia chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT wangjuan chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT sunxiaofei chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT liujuncheng chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT zhenzijun chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina AT zhangyizhuo chicriskstratificationsystemforpredictingthesurvivalofchildrenwithhepatoblastomadatafromchildrenwithhepatoblastomainchina |