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A Nomogram Model to Predict Early Recurrence of Patients With Intrahepatic Cholangiocarcinoma for Adjuvant Chemotherapy Guidance: A Multi-Institutional Analysis

BACKGROUND: The influence of different postoperative recurrence times on the efficacy of adjuvant chemotherapy (ACT) for intrahepatic cholangiocarcinoma (ICC) remains unclear. This study aimed to investigate the independent risk factors and establish a nomogram prediction model of early recurrence (...

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Autores principales: Li, Qi, Zhang, Jian, Chen, Chen, Song, Tianqiang, Qiu, Yinghe, Mao, Xianhai, Wu, Hong, He, Yu, Cheng, Zhangjun, Zhai, Wenlong, Li, Jingdong, Zhang, Dong, Geng, Zhimin, Tang, Zhaohui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259984/
https://www.ncbi.nlm.nih.gov/pubmed/35814440
http://dx.doi.org/10.3389/fonc.2022.896764
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author Li, Qi
Zhang, Jian
Chen, Chen
Song, Tianqiang
Qiu, Yinghe
Mao, Xianhai
Wu, Hong
He, Yu
Cheng, Zhangjun
Zhai, Wenlong
Li, Jingdong
Zhang, Dong
Geng, Zhimin
Tang, Zhaohui
author_facet Li, Qi
Zhang, Jian
Chen, Chen
Song, Tianqiang
Qiu, Yinghe
Mao, Xianhai
Wu, Hong
He, Yu
Cheng, Zhangjun
Zhai, Wenlong
Li, Jingdong
Zhang, Dong
Geng, Zhimin
Tang, Zhaohui
author_sort Li, Qi
collection PubMed
description BACKGROUND: The influence of different postoperative recurrence times on the efficacy of adjuvant chemotherapy (ACT) for intrahepatic cholangiocarcinoma (ICC) remains unclear. This study aimed to investigate the independent risk factors and establish a nomogram prediction model of early recurrence (recurrence within 1 year) to screen patients with ICC for ACT. METHODS: Data from 310 ICC patients who underwent radical resection between 2010 and 2018 at eight Chinese tertiary hospitals were used to analyze the risk factors and establish a nomogram model to predict early recurrence. External validation was conducted on 134 patients at the other two Chinese tertiary hospitals. Overall survival (OS) and relapse-free survival (RFS) were estimated by the Kaplan–Meier method. Multivariate analysis was conducted to identify independent risk factors for prognosis. A logistic regression model was used to screen independent risk variables for early recurrence. A nomogram model was established based on the above independent risk variables to predict early recurrence. RESULTS: ACT was a prognostic factor and an independent affecting factor for OS and RFS of patients with ICC after radical resection (p < 0.01). The median OS of ICC patients with non-ACT and ACT was 14.0 and 15.0 months, and the median RFS was 6.0 and 8.0 months for the early recurrence group, respectively (p > 0.05). While the median OS of ICC patients with non-ACT and ACT was 41.0 and 84.0 months, the median RFS was 20.0 and 45.0 months for the late recurrence group, respectively (p < 0.01). CA19-9, tumor size, major vascular invasion, microvascular invasion, and N stage were the independent risk factors of early recurrence for ICC patients after radical resection. The C-index of the nomogram was 0.777 (95% CI: 0.713~0.841) and 0.716 (95%CI: 0.604~0.828) in the training and testing sets, respectively. CONCLUSION: The nomogram model established based on the independent risk variables of early recurrence for curatively resected ICC patients has a good prediction ability and can be used to screen patients who benefited from ACT.
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spelling pubmed-92599842022-07-08 A Nomogram Model to Predict Early Recurrence of Patients With Intrahepatic Cholangiocarcinoma for Adjuvant Chemotherapy Guidance: A Multi-Institutional Analysis Li, Qi Zhang, Jian Chen, Chen Song, Tianqiang Qiu, Yinghe Mao, Xianhai Wu, Hong He, Yu Cheng, Zhangjun Zhai, Wenlong Li, Jingdong Zhang, Dong Geng, Zhimin Tang, Zhaohui Front Oncol Oncology BACKGROUND: The influence of different postoperative recurrence times on the efficacy of adjuvant chemotherapy (ACT) for intrahepatic cholangiocarcinoma (ICC) remains unclear. This study aimed to investigate the independent risk factors and establish a nomogram prediction model of early recurrence (recurrence within 1 year) to screen patients with ICC for ACT. METHODS: Data from 310 ICC patients who underwent radical resection between 2010 and 2018 at eight Chinese tertiary hospitals were used to analyze the risk factors and establish a nomogram model to predict early recurrence. External validation was conducted on 134 patients at the other two Chinese tertiary hospitals. Overall survival (OS) and relapse-free survival (RFS) were estimated by the Kaplan–Meier method. Multivariate analysis was conducted to identify independent risk factors for prognosis. A logistic regression model was used to screen independent risk variables for early recurrence. A nomogram model was established based on the above independent risk variables to predict early recurrence. RESULTS: ACT was a prognostic factor and an independent affecting factor for OS and RFS of patients with ICC after radical resection (p < 0.01). The median OS of ICC patients with non-ACT and ACT was 14.0 and 15.0 months, and the median RFS was 6.0 and 8.0 months for the early recurrence group, respectively (p > 0.05). While the median OS of ICC patients with non-ACT and ACT was 41.0 and 84.0 months, the median RFS was 20.0 and 45.0 months for the late recurrence group, respectively (p < 0.01). CA19-9, tumor size, major vascular invasion, microvascular invasion, and N stage were the independent risk factors of early recurrence for ICC patients after radical resection. The C-index of the nomogram was 0.777 (95% CI: 0.713~0.841) and 0.716 (95%CI: 0.604~0.828) in the training and testing sets, respectively. CONCLUSION: The nomogram model established based on the independent risk variables of early recurrence for curatively resected ICC patients has a good prediction ability and can be used to screen patients who benefited from ACT. Frontiers Media S.A. 2022-06-23 /pmc/articles/PMC9259984/ /pubmed/35814440 http://dx.doi.org/10.3389/fonc.2022.896764 Text en Copyright © 2022 Li, Zhang, Chen, Song, Qiu, Mao, Wu, He, Cheng, Zhai, Li, Zhang, Geng and Tang https://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
Li, Qi
Zhang, Jian
Chen, Chen
Song, Tianqiang
Qiu, Yinghe
Mao, Xianhai
Wu, Hong
He, Yu
Cheng, Zhangjun
Zhai, Wenlong
Li, Jingdong
Zhang, Dong
Geng, Zhimin
Tang, Zhaohui
A Nomogram Model to Predict Early Recurrence of Patients With Intrahepatic Cholangiocarcinoma for Adjuvant Chemotherapy Guidance: A Multi-Institutional Analysis
title A Nomogram Model to Predict Early Recurrence of Patients With Intrahepatic Cholangiocarcinoma for Adjuvant Chemotherapy Guidance: A Multi-Institutional Analysis
title_full A Nomogram Model to Predict Early Recurrence of Patients With Intrahepatic Cholangiocarcinoma for Adjuvant Chemotherapy Guidance: A Multi-Institutional Analysis
title_fullStr A Nomogram Model to Predict Early Recurrence of Patients With Intrahepatic Cholangiocarcinoma for Adjuvant Chemotherapy Guidance: A Multi-Institutional Analysis
title_full_unstemmed A Nomogram Model to Predict Early Recurrence of Patients With Intrahepatic Cholangiocarcinoma for Adjuvant Chemotherapy Guidance: A Multi-Institutional Analysis
title_short A Nomogram Model to Predict Early Recurrence of Patients With Intrahepatic Cholangiocarcinoma for Adjuvant Chemotherapy Guidance: A Multi-Institutional Analysis
title_sort nomogram model to predict early recurrence of patients with intrahepatic cholangiocarcinoma for adjuvant chemotherapy guidance: a multi-institutional analysis
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9259984/
https://www.ncbi.nlm.nih.gov/pubmed/35814440
http://dx.doi.org/10.3389/fonc.2022.896764
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