Cargando…
A Nomogram Prognostic Model for Advanced Hepatocellular Carcinoma Based on the Interaction Between CD8(+)T Cell Counts and Age
OBJECTIVE: CD8(+)T cells are essential components of the adaptive immune system and are crucial in the body’s immune system. This study aimed to investigate how the prognosis of patients with advanced hepatocellular carcinoma (HCC) was affected by their CD8(+) T cell counts and age and established a...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519212/ https://www.ncbi.nlm.nih.gov/pubmed/37752911 http://dx.doi.org/10.2147/OTT.S426195 |
_version_ | 1785109657993347072 |
---|---|
author | Wu, Yuan Liu, Xiaoli Wang, Xinhui Yu, Lihua Yan, Huiwen Xie, Yuqing Pu, Qing Cai, Xue Kong, Yaxian Yang, Zhiyun |
author_facet | Wu, Yuan Liu, Xiaoli Wang, Xinhui Yu, Lihua Yan, Huiwen Xie, Yuqing Pu, Qing Cai, Xue Kong, Yaxian Yang, Zhiyun |
author_sort | Wu, Yuan |
collection | PubMed |
description | OBJECTIVE: CD8(+)T cells are essential components of the adaptive immune system and are crucial in the body’s immune system. This study aimed to investigate how the prognosis of patients with advanced hepatocellular carcinoma (HCC) was affected by their CD8(+) T cell counts and age and established an effective nomogram model to predict the overall survival (OS). METHODS: A total of 427 patients with advanced HCC from Beijing Ditan Hospital, Capital Medical University, were enrolled in this study and randomly divided into training and validation groups, with 300 and 127 individuals in each group, respectively. Cox regression analysis was used to screen for independent risk factors for advanced HCC, and the interactive relationship between CD8(+)T cells and patient age was examined to establish a nomogram prediction model. RESULTS: Cox multivariate regression and interaction analyses indicated that tumor number, tumor size, aspartate aminotransferase (AST), C-reactive protein (CRP), relationship of CD8(+)T cell counts and age were independent predictors of 6-month OS in patients with advanced HCC, and the nomogram model was established based on these factors. The area under the receiver operating characteristic curve (AUC) of the nomogram model for predicting the 3-month, 6-month, and 12-month OS rates were 0.821, 0.802, and 0.756, respectively. Moreover, in clinical practice, patients with true-positive survival benefit more than true-positive death, therefore, we selected 25% as the clinical decision threshold probability based on probability density functions (PDFs) and clinical utility curves (CUCs), which can distinguish approximately 92% of patients who died and 37% of patients who survived. CONCLUSION: The nomogram model based on CD8(+)T cell counts and age accurately assessed the prognosis of patients with advanced HCC and suggested that high CD8(+)T cell levels are beneficial to the survival of patients with advanced HCC. |
format | Online Article Text |
id | pubmed-10519212 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-105192122023-09-26 A Nomogram Prognostic Model for Advanced Hepatocellular Carcinoma Based on the Interaction Between CD8(+)T Cell Counts and Age Wu, Yuan Liu, Xiaoli Wang, Xinhui Yu, Lihua Yan, Huiwen Xie, Yuqing Pu, Qing Cai, Xue Kong, Yaxian Yang, Zhiyun Onco Targets Ther Original Research OBJECTIVE: CD8(+)T cells are essential components of the adaptive immune system and are crucial in the body’s immune system. This study aimed to investigate how the prognosis of patients with advanced hepatocellular carcinoma (HCC) was affected by their CD8(+) T cell counts and age and established an effective nomogram model to predict the overall survival (OS). METHODS: A total of 427 patients with advanced HCC from Beijing Ditan Hospital, Capital Medical University, were enrolled in this study and randomly divided into training and validation groups, with 300 and 127 individuals in each group, respectively. Cox regression analysis was used to screen for independent risk factors for advanced HCC, and the interactive relationship between CD8(+)T cells and patient age was examined to establish a nomogram prediction model. RESULTS: Cox multivariate regression and interaction analyses indicated that tumor number, tumor size, aspartate aminotransferase (AST), C-reactive protein (CRP), relationship of CD8(+)T cell counts and age were independent predictors of 6-month OS in patients with advanced HCC, and the nomogram model was established based on these factors. The area under the receiver operating characteristic curve (AUC) of the nomogram model for predicting the 3-month, 6-month, and 12-month OS rates were 0.821, 0.802, and 0.756, respectively. Moreover, in clinical practice, patients with true-positive survival benefit more than true-positive death, therefore, we selected 25% as the clinical decision threshold probability based on probability density functions (PDFs) and clinical utility curves (CUCs), which can distinguish approximately 92% of patients who died and 37% of patients who survived. CONCLUSION: The nomogram model based on CD8(+)T cell counts and age accurately assessed the prognosis of patients with advanced HCC and suggested that high CD8(+)T cell levels are beneficial to the survival of patients with advanced HCC. Dove 2023-09-21 /pmc/articles/PMC10519212/ /pubmed/37752911 http://dx.doi.org/10.2147/OTT.S426195 Text en © 2023 Wu et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Wu, Yuan Liu, Xiaoli Wang, Xinhui Yu, Lihua Yan, Huiwen Xie, Yuqing Pu, Qing Cai, Xue Kong, Yaxian Yang, Zhiyun A Nomogram Prognostic Model for Advanced Hepatocellular Carcinoma Based on the Interaction Between CD8(+)T Cell Counts and Age |
title | A Nomogram Prognostic Model for Advanced Hepatocellular Carcinoma Based on the Interaction Between CD8(+)T Cell Counts and Age |
title_full | A Nomogram Prognostic Model for Advanced Hepatocellular Carcinoma Based on the Interaction Between CD8(+)T Cell Counts and Age |
title_fullStr | A Nomogram Prognostic Model for Advanced Hepatocellular Carcinoma Based on the Interaction Between CD8(+)T Cell Counts and Age |
title_full_unstemmed | A Nomogram Prognostic Model for Advanced Hepatocellular Carcinoma Based on the Interaction Between CD8(+)T Cell Counts and Age |
title_short | A Nomogram Prognostic Model for Advanced Hepatocellular Carcinoma Based on the Interaction Between CD8(+)T Cell Counts and Age |
title_sort | nomogram prognostic model for advanced hepatocellular carcinoma based on the interaction between cd8(+)t cell counts and age |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10519212/ https://www.ncbi.nlm.nih.gov/pubmed/37752911 http://dx.doi.org/10.2147/OTT.S426195 |
work_keys_str_mv | AT wuyuan anomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT liuxiaoli anomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT wangxinhui anomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT yulihua anomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT yanhuiwen anomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT xieyuqing anomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT puqing anomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT caixue anomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT kongyaxian anomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT yangzhiyun anomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT wuyuan nomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT liuxiaoli nomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT wangxinhui nomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT yulihua nomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT yanhuiwen nomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT xieyuqing nomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT puqing nomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT caixue nomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT kongyaxian nomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage AT yangzhiyun nomogramprognosticmodelforadvancedhepatocellularcarcinomabasedontheinteractionbetweencd8tcellcountsandage |