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A novel nomogram based on GD for predicting prognosis in hepatocellular carcinoma

PURPOSE: The prognosis of liver cancer remains unfavorable nowadays, making the search for predictive biomarkers of liver cancer prognosis of paramount importance to guide clinical diagnosis and treatment. This study was conducted to explore more prognostic markers for most HCC. PATIENTS AND METHODS...

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Autores principales: Liu, Ying, Cui, Kang, Zhao, Huan, Ma, Wang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646613/
https://www.ncbi.nlm.nih.gov/pubmed/38023207
http://dx.doi.org/10.3389/fonc.2023.1174788
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author Liu, Ying
Cui, Kang
Zhao, Huan
Ma, Wang
author_facet Liu, Ying
Cui, Kang
Zhao, Huan
Ma, Wang
author_sort Liu, Ying
collection PubMed
description PURPOSE: The prognosis of liver cancer remains unfavorable nowadays, making the search for predictive biomarkers of liver cancer prognosis of paramount importance to guide clinical diagnosis and treatment. This study was conducted to explore more prognostic markers for most HCC. PATIENTS AND METHODS: A total of 330 patients were enrolled in this study according to the inclusion and exclusion criteria. Follow-up data were collected for all patients until the cutoff date of the study, February 2023. In addition, patient outcomes were assessed with progression-free survival (PFS) and overall survival (OS). All statistical analysis was conducted using R 4.2.0 software. RESULTS: Univariate analysis illustrated that the GD [the product of gamma-glutamyl transpeptidase (GGT) concentration and D-dimer concentration, GD=GGT*D-dimer] levels were related to PFS (p<0.05) and OS (p<0.05). Kaplan–Meier survival curves and log-rank tests indicated a significant difference among different levels of GD (p<0.001). Multivariate analysis demonstrated GD as an independent prognostic factor for HCC. The C-indexes of nomogram were 0.77 and 0.76 in the training or validation cohort, respectively. Area Under the Curve (AUC) of 1-, 2-, 3-, and 4-year OS showed satisfactory accuracy, and the calibration curve illustrated brilliant consistence between the ideal and predicted values. CONCLUSIONS: Herein, it was demonstrated that GD was an independent prognostic factor for HCC and revealed the potential to predict the PFS and OS in patients with HCC. Moreover, the nomogram based on GD illustrated a satisfactory prediction ability in comparison to other models without GD.
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spelling pubmed-106466132023-01-01 A novel nomogram based on GD for predicting prognosis in hepatocellular carcinoma Liu, Ying Cui, Kang Zhao, Huan Ma, Wang Front Oncol Oncology PURPOSE: The prognosis of liver cancer remains unfavorable nowadays, making the search for predictive biomarkers of liver cancer prognosis of paramount importance to guide clinical diagnosis and treatment. This study was conducted to explore more prognostic markers for most HCC. PATIENTS AND METHODS: A total of 330 patients were enrolled in this study according to the inclusion and exclusion criteria. Follow-up data were collected for all patients until the cutoff date of the study, February 2023. In addition, patient outcomes were assessed with progression-free survival (PFS) and overall survival (OS). All statistical analysis was conducted using R 4.2.0 software. RESULTS: Univariate analysis illustrated that the GD [the product of gamma-glutamyl transpeptidase (GGT) concentration and D-dimer concentration, GD=GGT*D-dimer] levels were related to PFS (p<0.05) and OS (p<0.05). Kaplan–Meier survival curves and log-rank tests indicated a significant difference among different levels of GD (p<0.001). Multivariate analysis demonstrated GD as an independent prognostic factor for HCC. The C-indexes of nomogram were 0.77 and 0.76 in the training or validation cohort, respectively. Area Under the Curve (AUC) of 1-, 2-, 3-, and 4-year OS showed satisfactory accuracy, and the calibration curve illustrated brilliant consistence between the ideal and predicted values. CONCLUSIONS: Herein, it was demonstrated that GD was an independent prognostic factor for HCC and revealed the potential to predict the PFS and OS in patients with HCC. Moreover, the nomogram based on GD illustrated a satisfactory prediction ability in comparison to other models without GD. Frontiers Media S.A. 2023-11-01 /pmc/articles/PMC10646613/ /pubmed/38023207 http://dx.doi.org/10.3389/fonc.2023.1174788 Text en Copyright © 2023 Liu, Cui, Zhao and Ma 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
Liu, Ying
Cui, Kang
Zhao, Huan
Ma, Wang
A novel nomogram based on GD for predicting prognosis in hepatocellular carcinoma
title A novel nomogram based on GD for predicting prognosis in hepatocellular carcinoma
title_full A novel nomogram based on GD for predicting prognosis in hepatocellular carcinoma
title_fullStr A novel nomogram based on GD for predicting prognosis in hepatocellular carcinoma
title_full_unstemmed A novel nomogram based on GD for predicting prognosis in hepatocellular carcinoma
title_short A novel nomogram based on GD for predicting prognosis in hepatocellular carcinoma
title_sort novel nomogram based on gd for predicting prognosis in hepatocellular carcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10646613/
https://www.ncbi.nlm.nih.gov/pubmed/38023207
http://dx.doi.org/10.3389/fonc.2023.1174788
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