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 TITLE=Integrated oxidative stress score for predicting prognosis in stage III gastric cancer undergoing surgery JOURNAL=Pathology and Oncology Research VOLUME=Volume 29 - 2023 YEAR=2023 URL=https://www.por-journal.com/journals/pathology-and-oncology-research/articles/10.3389/pore.2023.1610897 DOI=10.3389/pore.2023.1610897 ISSN=1532-2807 ABSTRACT=Objective: This study is aimed to develop a novel scoring system named 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 between January 2014 and December 2016 were enrolled into this research. IOSS is a comprehensive index based on achievable oxidative stress index, comprising albumin, blood urea nitrogen, direct bilirubin. The patients were divided into two groups according to receiver operating characteristic curve, that is low IOSS group (IOSS≤2.00) and high IOSS group (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. Nomogram of the potential prognostic factors by the multivariate analysis for DFS and OS were established with R software. In order to assess the correctness 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 were 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: χ2=6.632, p=0.010; OS: χ2=6.519, p=0.011), and with higher survival rates. According to the univariate and multivariate analyses, the IOSS was the potential prognostic factor. The nomograms conducted by 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. Conclusions: 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.