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Development and validation of prognostic dynamic nomograms for hepatitis B Virus-related hepatocellular carcinoma with microvascular invasion after curative resection

BACKGROUND AND AIM: The prediction models of postoperative survival for hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) with microvascular invasion (MVI) have not been well established. The study objective was the development of nomograms to predict disease recurrence and overall surviv...

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Autores principales: Bai, Shilei, Yang, Pinghua, Wei, Yanping, Wang, Jie, Lu, Caixia, Xia, Yong, Si, Anfeng, Zhang, Baohua, Shen, Feng, Tan, Yexiong, Wang, Kui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154689/
https://www.ncbi.nlm.nih.gov/pubmed/37152055
http://dx.doi.org/10.3389/fonc.2023.1166327
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author Bai, Shilei
Yang, Pinghua
Wei, Yanping
Wang, Jie
Lu, Caixia
Xia, Yong
Si, Anfeng
Zhang, Baohua
Shen, Feng
Tan, Yexiong
Wang, Kui
author_facet Bai, Shilei
Yang, Pinghua
Wei, Yanping
Wang, Jie
Lu, Caixia
Xia, Yong
Si, Anfeng
Zhang, Baohua
Shen, Feng
Tan, Yexiong
Wang, Kui
author_sort Bai, Shilei
collection PubMed
description BACKGROUND AND AIM: The prediction models of postoperative survival for hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) with microvascular invasion (MVI) have not been well established. The study objective was the development of nomograms to predict disease recurrence and overall survival (OS) in these patients. METHODS: Data were obtained from 1046 HBV-related MVI-positive HCC patients who had undergone curative resection from January 2014 to December 2017. The study was approved by the Eastern Hepatobiliary Surgery Hospital and Jinling Hospital ethics committee, and patients provided informed consent for the use of their data. Nomograms for recurrence and OS were created by Cox regression model in the training cohort (n=530). The modes were verified in an internal validation cohort (n= 265) and an external validation cohort (n= 251). RESULTS: The nomograms of recurrence and OS based on preoperative serological indicators (HBV-DNA, neutrophil-lymphocyte ratio, a-fetoprotein), tumor clinicopathologic features (diameter, number), surgical margin and postoperative adjuvant TACE achieved high C-indexes of 0.722 (95% confidence interval [CI], 0.711-0.732) and 0.759 (95% CI, 0.747-0.771) in the training cohort, respectively, which were significantly higher than conventional HCC staging systems (BCLC, CNLC, HKLC).The nomograms were validated in the internal validation cohort (0.747 for recurrence, 0.758 for OS) and external validation cohort(0.719 for recurrence, 0.714 for OS) had well-fitted calibration curves. Our nomograms accurately stratified patients with HBV-HCC with MVI into low-, intermediate- and high-risk groups of postsurgical recurrence and mortality. Prediction models for recurrence-free survival (https://baishileiehbh.shinyapps.io/HBV-MVI-HCC-RFS/) and OS (https://baishileiehbh.shinyapps.io/HBV-MVI-HCC-OS/) were constructed. CONCLUSIONS: The two nomograms showed good predictive performance and accurately distinguished different recurrence and OS by the nomograms scores for HBV-HCC patients with MVI after resection.
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spelling pubmed-101546892023-05-04 Development and validation of prognostic dynamic nomograms for hepatitis B Virus-related hepatocellular carcinoma with microvascular invasion after curative resection Bai, Shilei Yang, Pinghua Wei, Yanping Wang, Jie Lu, Caixia Xia, Yong Si, Anfeng Zhang, Baohua Shen, Feng Tan, Yexiong Wang, Kui Front Oncol Oncology BACKGROUND AND AIM: The prediction models of postoperative survival for hepatitis B virus-related hepatocellular carcinoma (HBV-HCC) with microvascular invasion (MVI) have not been well established. The study objective was the development of nomograms to predict disease recurrence and overall survival (OS) in these patients. METHODS: Data were obtained from 1046 HBV-related MVI-positive HCC patients who had undergone curative resection from January 2014 to December 2017. The study was approved by the Eastern Hepatobiliary Surgery Hospital and Jinling Hospital ethics committee, and patients provided informed consent for the use of their data. Nomograms for recurrence and OS were created by Cox regression model in the training cohort (n=530). The modes were verified in an internal validation cohort (n= 265) and an external validation cohort (n= 251). RESULTS: The nomograms of recurrence and OS based on preoperative serological indicators (HBV-DNA, neutrophil-lymphocyte ratio, a-fetoprotein), tumor clinicopathologic features (diameter, number), surgical margin and postoperative adjuvant TACE achieved high C-indexes of 0.722 (95% confidence interval [CI], 0.711-0.732) and 0.759 (95% CI, 0.747-0.771) in the training cohort, respectively, which were significantly higher than conventional HCC staging systems (BCLC, CNLC, HKLC).The nomograms were validated in the internal validation cohort (0.747 for recurrence, 0.758 for OS) and external validation cohort(0.719 for recurrence, 0.714 for OS) had well-fitted calibration curves. Our nomograms accurately stratified patients with HBV-HCC with MVI into low-, intermediate- and high-risk groups of postsurgical recurrence and mortality. Prediction models for recurrence-free survival (https://baishileiehbh.shinyapps.io/HBV-MVI-HCC-RFS/) and OS (https://baishileiehbh.shinyapps.io/HBV-MVI-HCC-OS/) were constructed. CONCLUSIONS: The two nomograms showed good predictive performance and accurately distinguished different recurrence and OS by the nomograms scores for HBV-HCC patients with MVI after resection. Frontiers Media S.A. 2023-04-19 /pmc/articles/PMC10154689/ /pubmed/37152055 http://dx.doi.org/10.3389/fonc.2023.1166327 Text en Copyright © 2023 Bai, Yang, Wei, Wang, Lu, Xia, Si, Zhang, Shen, Tan and Wang 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
Bai, Shilei
Yang, Pinghua
Wei, Yanping
Wang, Jie
Lu, Caixia
Xia, Yong
Si, Anfeng
Zhang, Baohua
Shen, Feng
Tan, Yexiong
Wang, Kui
Development and validation of prognostic dynamic nomograms for hepatitis B Virus-related hepatocellular carcinoma with microvascular invasion after curative resection
title Development and validation of prognostic dynamic nomograms for hepatitis B Virus-related hepatocellular carcinoma with microvascular invasion after curative resection
title_full Development and validation of prognostic dynamic nomograms for hepatitis B Virus-related hepatocellular carcinoma with microvascular invasion after curative resection
title_fullStr Development and validation of prognostic dynamic nomograms for hepatitis B Virus-related hepatocellular carcinoma with microvascular invasion after curative resection
title_full_unstemmed Development and validation of prognostic dynamic nomograms for hepatitis B Virus-related hepatocellular carcinoma with microvascular invasion after curative resection
title_short Development and validation of prognostic dynamic nomograms for hepatitis B Virus-related hepatocellular carcinoma with microvascular invasion after curative resection
title_sort development and validation of prognostic dynamic nomograms for hepatitis b virus-related hepatocellular carcinoma with microvascular invasion after curative resection
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10154689/
https://www.ncbi.nlm.nih.gov/pubmed/37152055
http://dx.doi.org/10.3389/fonc.2023.1166327
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