{"title":"综合氧化应激评分预测III期胃癌手术预后。","authors":"Yu-Hang Liu, Rui Meng, Bing Zhu, Qi-Qi Zhan, Xin Yang, Guan-Yi Ding, Chun-Liang Jia, Qian-Yu Liu, Wei-Guo Xu","doi":"10.3389/pore.2023.1610897","DOIUrl":null,"url":null,"abstract":"<p><p><b>Objective:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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<sup>2</sup> = 6.632, <i>p</i> = 0.010; OS: χ<sup>2</sup> = 6.519, <i>p</i> = 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. <b>Conclusion:</b> 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.</p>","PeriodicalId":19981,"journal":{"name":"Pathology & Oncology Research","volume":"29 ","pages":"1610897"},"PeriodicalIF":2.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272382/pdf/","citationCount":"0","resultStr":"{\"title\":\"Integrated oxidative stress score for predicting prognosis in stage III gastric cancer undergoing surgery.\",\"authors\":\"Yu-Hang Liu, Rui Meng, Bing Zhu, Qi-Qi Zhan, Xin Yang, Guan-Yi Ding, Chun-Liang Jia, Qian-Yu Liu, Wei-Guo Xu\",\"doi\":\"10.3389/pore.2023.1610897\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b>Objective:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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<sup>2</sup> = 6.632, <i>p</i> = 0.010; OS: χ<sup>2</sup> = 6.519, <i>p</i> = 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. <b>Conclusion:</b> 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.</p>\",\"PeriodicalId\":19981,\"journal\":{\"name\":\"Pathology & Oncology Research\",\"volume\":\"29 \",\"pages\":\"1610897\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10272382/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Pathology & Oncology Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.3389/pore.2023.1610897\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pathology & Oncology Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3389/pore.2023.1610897","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的:本研究旨在建立一种新的基于氧化应激指标的综合氧化应激评分系统(integrated oxidative stress score, IOSS)来预测III期胃癌的预后。方法:回顾性分析2014年1月至2016年12月期间接受手术治疗的III期胃癌患者。IOSS是一个基于可实现的氧化应激指数的综合指标,包括白蛋白、血尿素氮和直接胆红素。根据受试者工作特征曲线将患者分为低(IOSS≤2.00)和高(IOSS > 2.00)两组。分组变量采用卡方检验或Fisher精度概率检验。连续变量采用t检验。无病生存期(DFS)和总生存期(OS)采用Kaplan-Meier检验和Log-Rank检验。采用单因素Cox比例风险回归模型和逐步多因素Cox比例风险回归分析来评价DFS和OS的潜在预后因素。采用R软件对DFS和OS进行多因素分析,建立潜在预后因素的nomogram。为了评估模态图预测预后的准确性,我们制作了校准曲线和决策曲线分析,将观察结果与预测结果进行对比。结果:IOSS与DFS、OS显著相关,是影响III期胃癌患者预后的潜在因素。低iss患者生存期较长(DFS: χ2 = 6.632, p = 0.010;OS: χ2 = 6.519, p = 0.011),生存率较高。单因素和多因素分析表明,iiss是一个潜在的预后因素。对潜在的预后因素进行nomogram,以提高生存预测的准确性,评价III期胃癌患者的预后。校准曲线显示在1年、3年和5年的寿命率上有很好的一致性。决策曲线分析显示nomogram对临床决策的预测效用优于IOSS。结论:IOSS是基于氧化应激指数的非特异性肿瘤预测指标,低IOSS是III期胃癌预后较好的重要因素。
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 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: χ2 = 6.632, p = 0.010; OS: χ2 = 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.
期刊介绍:
Pathology & Oncology Research (POR) is an interdisciplinary Journal at the interface of pathology and oncology including the preclinical and translational research, diagnostics and therapy. Furthermore, POR is an international forum for the rapid communication of reviews, original research, critical and topical reports with excellence and novelty. Published quarterly, POR is dedicated to keeping scientists informed of developments on the selected biomedical fields bridging the gap between basic research and clinical medicine. It is a special aim for POR to promote pathological and oncological publishing activity of colleagues in the Central and East European region. The journal will be of interest to pathologists, and a broad range of experimental and clinical oncologists, and related experts. POR is supported by an acknowledged international advisory board and the Arányi Fundation for modern pathology.