Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Baishideng Publishing Group Inc 2023
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
_version_ 1785060875879579648
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
work_keys_str_mv AT wujialin inflammationrelatednomogramforpredictingsurvivalofpatientswithunresectablehepatocellularcarcinomareceivedconversiontherapy
AT luojunyang inflammationrelatednomogramforpredictingsurvivalofpatientswithunresectablehepatocellularcarcinomareceivedconversiontherapy
AT jiangzaibo inflammationrelatednomogramforpredictingsurvivalofpatientswithunresectablehepatocellularcarcinomareceivedconversiontherapy
AT huangsibo inflammationrelatednomogramforpredictingsurvivalofpatientswithunresectablehepatocellularcarcinomareceivedconversiontherapy
AT chengerun inflammationrelatednomogramforpredictingsurvivalofpatientswithunresectablehepatocellularcarcinomareceivedconversiontherapy
AT ranhuiying inflammationrelatednomogramforpredictingsurvivalofpatientswithunresectablehepatocellularcarcinomareceivedconversiontherapy
AT liangqiyue inflammationrelatednomogramforpredictingsurvivalofpatientswithunresectablehepatocellularcarcinomareceivedconversiontherapy
AT huangmingsheng inflammationrelatednomogramforpredictingsurvivalofpatientswithunresectablehepatocellularcarcinomareceivedconversiontherapy
AT lailisha inflammationrelatednomogramforpredictingsurvivalofpatientswithunresectablehepatocellularcarcinomareceivedconversiontherapy
AT chenjunwei inflammationrelatednomogramforpredictingsurvivalofpatientswithunresectablehepatocellularcarcinomareceivedconversiontherapy