Yongmin Miao, Rui Yang, Bo Zhang, Jun Yang, Liang Yao, Wanfu Wang, Xiaoqing Liu, Xiangyang Guo, Hongyan Jia
{"title":"Naples Prognostic Score (NPS) as a Novel Prognostic Score for Stage III Breast Cancer Patients: A Real-World Retrospective Study.","authors":"Yongmin Miao, Rui Yang, Bo Zhang, Jun Yang, Liang Yao, Wanfu Wang, Xiaoqing Liu, Xiangyang Guo, Hongyan Jia","doi":"10.2147/BCTT.S519742","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>This study aims to explore whether Naples prognostic score (NPS) serves as a novel and original prognostic tool for predicting long-term survival in stage III breast cancer patients undergoing operation.</p><p><strong>Methods: </strong>This retrospective study included 306 cases of stage III breast cancer patients hospitalized in our hospital from January 2014 to December 2018. In this study, NPS was based on five objective markers: (1) serum albumin level; (2) total cholesterol; (3) neutrophil to lymphocyte ratio; (4) lymphocyte to monocyte ratio. Survival curves of DFS and OS differences were visualized by Kaplan-Meier method and Log rank test. The variables with p < 0.05 in univariate analysis were performed in the multivariate Cox proportional hazard model analysis, and the p-values < 0.05 was considered the underlying independent variables. Nomogram was constructed by the multivariate Cox proportional hazard model analysis.</p><p><strong>Results: </strong>Significant variations for DFS and OS categorized according to prognostic risk for the different NPS (DFS: χ<sup>2</sup>=24.926, P < 0.0001; OS: χ<sup>2</sup>=31.207, P < 0.0001). According to multivariable Cox analysis, NPS was an independent prognostic factor of DFS [Group 0 had significantly better prognosis than group 1 (HR = 2.733, 95% CI: 1.446-5.166, P = 0.002) and group 2 (HR = 4.990, 95% CI: 2.555-9.746), P < 0.001)] and OS [Group 0 had significantly better prognosis than group 1 (HR = 2.437, 95% CI: 1.288-4.610, P = 0.006) and group 2 (HR = 5.707, 95% CI: 2.900-11.231), P < 0.001)], respectively. Nomogram prognostic model exhibited excellent predictive performance on DFS [C-index: 0.692 (95% CI: 0.584-0.782)] and OS [C-index: 0.711 (95% CI: 0.606-0.797)] for stage III breast cancer.</p><p><strong>Conclusion: </strong>NPS serves as a predictive tool for assessing the prognosis of stage III breast cancer after surgery. Nomogram prognostic model based on NPS show good prediction ability.</p>","PeriodicalId":9106,"journal":{"name":"Breast Cancer : Targets and Therapy","volume":"17 ","pages":"403-421"},"PeriodicalIF":3.4000,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12083478/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Breast Cancer : Targets and Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2147/BCTT.S519742","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: This study aims to explore whether Naples prognostic score (NPS) serves as a novel and original prognostic tool for predicting long-term survival in stage III breast cancer patients undergoing operation.
Methods: This retrospective study included 306 cases of stage III breast cancer patients hospitalized in our hospital from January 2014 to December 2018. In this study, NPS was based on five objective markers: (1) serum albumin level; (2) total cholesterol; (3) neutrophil to lymphocyte ratio; (4) lymphocyte to monocyte ratio. Survival curves of DFS and OS differences were visualized by Kaplan-Meier method and Log rank test. The variables with p < 0.05 in univariate analysis were performed in the multivariate Cox proportional hazard model analysis, and the p-values < 0.05 was considered the underlying independent variables. Nomogram was constructed by the multivariate Cox proportional hazard model analysis.
Results: Significant variations for DFS and OS categorized according to prognostic risk for the different NPS (DFS: χ2=24.926, P < 0.0001; OS: χ2=31.207, P < 0.0001). According to multivariable Cox analysis, NPS was an independent prognostic factor of DFS [Group 0 had significantly better prognosis than group 1 (HR = 2.733, 95% CI: 1.446-5.166, P = 0.002) and group 2 (HR = 4.990, 95% CI: 2.555-9.746), P < 0.001)] and OS [Group 0 had significantly better prognosis than group 1 (HR = 2.437, 95% CI: 1.288-4.610, P = 0.006) and group 2 (HR = 5.707, 95% CI: 2.900-11.231), P < 0.001)], respectively. Nomogram prognostic model exhibited excellent predictive performance on DFS [C-index: 0.692 (95% CI: 0.584-0.782)] and OS [C-index: 0.711 (95% CI: 0.606-0.797)] for stage III breast cancer.
Conclusion: NPS serves as a predictive tool for assessing the prognosis of stage III breast cancer after surgery. Nomogram prognostic model based on NPS show good prediction ability.
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