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Inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy
BACKGROUND: The efficacy of conversion therapy for patients with unresectable hepatocellular carcinoma (HCC) is a common clinical concern. AIM: To analyse the prognostic factors of overall survival (OS) in patients with unresectable HCC who received conversion therapy. METHODS: One hundred and fifty...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Baishideng Publishing Group Inc
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280795/ https://www.ncbi.nlm.nih.gov/pubmed/37346152 http://dx.doi.org/10.3748/wjg.v29.i20.3168 |
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author | Wu, Jia-Lin Luo, Jun-Yang Jiang, Zai-Bo Huang, Si-Bo Chen, Ge-Run Ran, Hui-Ying Liang, Qi-Yue Huang, Ming-Sheng Lai, Li-Sha Chen, Jun-Wei |
author_facet | Wu, Jia-Lin Luo, Jun-Yang Jiang, Zai-Bo Huang, Si-Bo Chen, Ge-Run Ran, Hui-Ying Liang, Qi-Yue Huang, Ming-Sheng Lai, Li-Sha Chen, Jun-Wei |
author_sort | Wu, Jia-Lin |
collection | PubMed |
description | BACKGROUND: The efficacy of conversion therapy for patients with unresectable hepatocellular carcinoma (HCC) is a common clinical concern. AIM: To analyse the prognostic factors of overall survival (OS) in patients with unresectable HCC who received conversion therapy. METHODS: One hundred and fifty patients who met the inclusion criteria were enrolled and divided into a training cohort (n = 120) and a validation cohort (n = 30). Using the independent risk factors in the training cohort, a nomogram model was constructed to predict OS for patients treated with transarterial chemoembolization following hepatic resection. The nomogram was internally validated with the bootstrapping method. The predictive performance of nomogram was assessed by Harrell’s concordance index (C-index), calibration plot and time-dependent receiver operating characteristic curves and compared with six other conventional HCC staging systems. RESULTS: Multivariate Cox analysis identified that albumin, blood urea nitrogen, gamma-glutamyl transpeptidase to platelet ratio, platelet to lymphocyte ratio, macrovascular invasion and tumour number were the six independent prognostic factors correlated with OS in nomogram model. The C-index in the training cohort and validation cohort were 0.752 and 0.807 for predicting OS, which were higher than those of the six conventional HCC staging systems (0.563 to 0.715 for the training cohort and 0.458 to 0.571 for the validation cohort). The calibration plots showed good consistency between the nomogram prediction of OS and the actual observations of OS. Decision curve analyses indicated satisfactory clinical utility. With a total nomogram score of 196, patients were accurately classified into low-risk and high-risk groups. Furthermore, we have deployed the model into online calculators that can be accessed for free at https://ctmodelforunresectablehcc.shinyapps.io/DynNomapp/. CONCLUSION: The nomogram achieved optimal individualized prognostication of OS in HCC patients who received conversion therapy, which could be a useful clinical tool to help guide postoperative personalized interventions and prognosis judgement. |
format | Online Article Text |
id | pubmed-10280795 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Baishideng Publishing Group Inc |
record_format | MEDLINE/PubMed |
spelling | pubmed-102807952023-06-21 Inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy Wu, Jia-Lin Luo, Jun-Yang Jiang, Zai-Bo Huang, Si-Bo Chen, Ge-Run Ran, Hui-Ying Liang, Qi-Yue Huang, Ming-Sheng Lai, Li-Sha Chen, Jun-Wei World J Gastroenterol Observational Study BACKGROUND: The efficacy of conversion therapy for patients with unresectable hepatocellular carcinoma (HCC) is a common clinical concern. AIM: To analyse the prognostic factors of overall survival (OS) in patients with unresectable HCC who received conversion therapy. METHODS: One hundred and fifty patients who met the inclusion criteria were enrolled and divided into a training cohort (n = 120) and a validation cohort (n = 30). Using the independent risk factors in the training cohort, a nomogram model was constructed to predict OS for patients treated with transarterial chemoembolization following hepatic resection. The nomogram was internally validated with the bootstrapping method. The predictive performance of nomogram was assessed by Harrell’s concordance index (C-index), calibration plot and time-dependent receiver operating characteristic curves and compared with six other conventional HCC staging systems. RESULTS: Multivariate Cox analysis identified that albumin, blood urea nitrogen, gamma-glutamyl transpeptidase to platelet ratio, platelet to lymphocyte ratio, macrovascular invasion and tumour number were the six independent prognostic factors correlated with OS in nomogram model. The C-index in the training cohort and validation cohort were 0.752 and 0.807 for predicting OS, which were higher than those of the six conventional HCC staging systems (0.563 to 0.715 for the training cohort and 0.458 to 0.571 for the validation cohort). The calibration plots showed good consistency between the nomogram prediction of OS and the actual observations of OS. Decision curve analyses indicated satisfactory clinical utility. With a total nomogram score of 196, patients were accurately classified into low-risk and high-risk groups. Furthermore, we have deployed the model into online calculators that can be accessed for free at https://ctmodelforunresectablehcc.shinyapps.io/DynNomapp/. CONCLUSION: The nomogram achieved optimal individualized prognostication of OS in HCC patients who received conversion therapy, which could be a useful clinical tool to help guide postoperative personalized interventions and prognosis judgement. Baishideng Publishing Group Inc 2023-05-28 2023-05-28 /pmc/articles/PMC10280795/ /pubmed/37346152 http://dx.doi.org/10.3748/wjg.v29.i20.3168 Text en ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. https://creativecommons.org/licenses/by-nc/4.0/This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. |
spellingShingle | Observational Study Wu, Jia-Lin Luo, Jun-Yang Jiang, Zai-Bo Huang, Si-Bo Chen, Ge-Run Ran, Hui-Ying Liang, Qi-Yue Huang, Ming-Sheng Lai, Li-Sha Chen, Jun-Wei Inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy |
title | Inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy |
title_full | Inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy |
title_fullStr | Inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy |
title_full_unstemmed | Inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy |
title_short | Inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy |
title_sort | inflammation-related nomogram for predicting survival of patients with unresectable hepatocellular carcinoma received conversion therapy |
topic | Observational Study |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10280795/ https://www.ncbi.nlm.nih.gov/pubmed/37346152 http://dx.doi.org/10.3748/wjg.v29.i20.3168 |
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