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Integrated oxidative stress score for predicting prognosis in stage III gastric cancer undergoing surgery

Objective: This study aimed to develop a novel scoring system, named the integrated oxidative stress score (IOSS), based on oxidative stress indices to predict the prognosis in stage III gastric cancer. Methods: Retrospective analysis of stage III gastric cancer patients who were operated on between...

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Autores principales: Liu, Yu-hang, Meng, Rui, Zhu, Bing, Zhan, Qi-qi, Yang, Xin, Ding, Guan-yi, Jia, Chun-liang, Liu, Qian-yu, Xu, Wei-guo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272382/
https://www.ncbi.nlm.nih.gov/pubmed/37334172
http://dx.doi.org/10.3389/pore.2023.1610897
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author Liu, Yu-hang
Meng, Rui
Zhu, Bing
Zhan, Qi-qi
Yang, Xin
Ding, Guan-yi
Jia, Chun-liang
Liu, Qian-yu
Xu, Wei-guo
author_facet Liu, Yu-hang
Meng, Rui
Zhu, Bing
Zhan, Qi-qi
Yang, Xin
Ding, Guan-yi
Jia, Chun-liang
Liu, Qian-yu
Xu, Wei-guo
author_sort Liu, Yu-hang
collection PubMed
description Objective: This study aimed to develop a novel scoring system, named the integrated oxidative stress score (IOSS), based on oxidative stress indices to predict the prognosis in stage III gastric cancer. Methods: Retrospective analysis of stage III gastric cancer patients who were operated on between January 2014 and December 2016 were enrolled into this research. IOSS is a comprehensive index based on an achievable oxidative stress index, comprising albumin, blood urea nitrogen, and direct bilirubin. The patients were divided according to receiver operating characteristic curve into two groups of low IOSS (IOSS ≤ 2.00) and high IOSS (IOSS > 2.00). The grouping variable was performed by Chi-square test or Fisher’s precision probability test. The continuous variables were evaluated by t-test. The disease free survival (DFS) and overall survival (OS) were performed by Kaplan-Meier and Log-Rank tests. Univariate Cox proportional hazards regression models and stepwise multivariate Cox proportional hazards regression analysis were determined to appraise the potential prognostic factors for DFS and OS. A nomogram of the potential prognostic factors by the multivariate analysis for DFS and OS was established with R software. In order to assess the accuracy of the nomogram in forecasting prognosis, the calibration curve and decision curve analysis were produced, contrasting the observed outcomes with the predicted outcomes. Results: The IOSS was significantly correlated with the DFS and OS, and was a potential prognostic factor in patients with stage III gastric cancer. Patients with low IOSS had longer survival (DFS: χ(2) = 6.632, p = 0.010; OS: χ(2) = 6.519, p = 0.011), and higher survival rates. According to the univariate and multivariate analyses, the IOSS was a potential prognostic factor. The nomograms were conducted on the potential prognostic factors to improve the correctness of survival prediction and evaluate the prognosis in stage III gastric cancer patients. The calibration curve indicated a good agreement in 1-, 3-, 5-year lifetime rates. The decision curve analysis indicated that the nomogram’s predictive clinical utility for clinical decision was better than IOSS. Conclusion: IOSS is a nonspecific tumor predictor based on available oxidative stress index, and low IOSS is found to be a vigorous factor of better prognosis in stage III gastric cancer.
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spelling pubmed-102723822023-06-17 Integrated oxidative stress score for predicting prognosis in stage III gastric cancer undergoing surgery Liu, Yu-hang Meng, Rui Zhu, Bing Zhan, Qi-qi Yang, Xin Ding, Guan-yi Jia, Chun-liang Liu, Qian-yu Xu, Wei-guo Pathol Oncol Res Pathology and Oncology Archive Objective: This study aimed to develop a novel scoring system, named the integrated oxidative stress score (IOSS), based on oxidative stress indices to predict the prognosis in stage III gastric cancer. Methods: Retrospective analysis of stage III gastric cancer patients who were operated on between January 2014 and December 2016 were enrolled into this research. IOSS is a comprehensive index based on an achievable oxidative stress index, comprising albumin, blood urea nitrogen, and direct bilirubin. The patients were divided according to receiver operating characteristic curve into two groups of low IOSS (IOSS ≤ 2.00) and high IOSS (IOSS > 2.00). The grouping variable was performed by Chi-square test or Fisher’s precision probability test. The continuous variables were evaluated by t-test. The disease free survival (DFS) and overall survival (OS) were performed by Kaplan-Meier and Log-Rank tests. Univariate Cox proportional hazards regression models and stepwise multivariate Cox proportional hazards regression analysis were determined to appraise the potential prognostic factors for DFS and OS. A nomogram of the potential prognostic factors by the multivariate analysis for DFS and OS was established with R software. In order to assess the accuracy of the nomogram in forecasting prognosis, the calibration curve and decision curve analysis were produced, contrasting the observed outcomes with the predicted outcomes. Results: The IOSS was significantly correlated with the DFS and OS, and was a potential prognostic factor in patients with stage III gastric cancer. Patients with low IOSS had longer survival (DFS: χ(2) = 6.632, p = 0.010; OS: χ(2) = 6.519, p = 0.011), and higher survival rates. According to the univariate and multivariate analyses, the IOSS was a potential prognostic factor. The nomograms were conducted on the potential prognostic factors to improve the correctness of survival prediction and evaluate the prognosis in stage III gastric cancer patients. The calibration curve indicated a good agreement in 1-, 3-, 5-year lifetime rates. The decision curve analysis indicated that the nomogram’s predictive clinical utility for clinical decision was better than IOSS. Conclusion: IOSS is a nonspecific tumor predictor based on available oxidative stress index, and low IOSS is found to be a vigorous factor of better prognosis in stage III gastric cancer. Frontiers Media S.A. 2023-06-02 /pmc/articles/PMC10272382/ /pubmed/37334172 http://dx.doi.org/10.3389/pore.2023.1610897 Text en Copyright © 2023 Liu, Meng, Zhu, Zhan, Yang, Ding, Jia, Liu and Xu. 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 Pathology and Oncology Archive
Liu, Yu-hang
Meng, Rui
Zhu, Bing
Zhan, Qi-qi
Yang, Xin
Ding, Guan-yi
Jia, Chun-liang
Liu, Qian-yu
Xu, Wei-guo
Integrated oxidative stress score for predicting prognosis in stage III gastric cancer undergoing surgery
title Integrated oxidative stress score for predicting prognosis in stage III gastric cancer undergoing surgery
title_full Integrated oxidative stress score for predicting prognosis in stage III gastric cancer undergoing surgery
title_fullStr Integrated oxidative stress score for predicting prognosis in stage III gastric cancer undergoing surgery
title_full_unstemmed Integrated oxidative stress score for predicting prognosis in stage III gastric cancer undergoing surgery
title_short Integrated oxidative stress score for predicting prognosis in stage III gastric cancer undergoing surgery
title_sort integrated oxidative stress score for predicting prognosis in stage iii gastric cancer undergoing surgery
topic Pathology and Oncology Archive
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272382/
https://www.ncbi.nlm.nih.gov/pubmed/37334172
http://dx.doi.org/10.3389/pore.2023.1610897
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