Normalization weighted combination scores re-evaluate TNM staging of gastric cancer: a retrospective cohort study based on a multicenter database

医学 队列 规范化(社会学) 回顾性队列研究 内科学 肿瘤科 癌症 人类学 社会学
作者
Junpeng Wu,Hao Wang,Xin Yin,Yufei Wang,Zhanfei Lu,Jiaqi Zhang,Yao Zhang,Yingwei Xue
出处
期刊:International Journal of Surgery [Wolters Kluwer]
被引量:4
标识
DOI:10.1097/js9.0000000000000726
摘要

Background: The pathological depth of tumor invasion (pT) and lymph node metastasis (pN) are critical independent prognostic factors for patients with gastric cancer, representing effective methods for evaluating prognosis. In this study, we employed a normalization weight combination score to calculate the weight ratio of the pT stage and pN stage. Subsequently, we established a novel wTN staging model based on these T and N weights, evaluating its prognostic capacity. Methods: This study utilized a training cohort from A Medical University Cancer Hospital and a validation cohort from the SEER database. LASSO and Cox regression were employed to screen clinical characteristics. Multivariate linear regression and cluster analysis calculated the weight ratio of T stage and N stage in the training and validation cohorts, respectively, followed by re-staging. Prognostic value was evaluated using C-index, likelihood ratio, Wald, and Score tests for wTN stage and TNM stage. A nomogram model was developed, and accuracy was assessed using ROC, DCA, and RCS analyses. Results: LASSO was used for initial screening, selecting 8 potential features for Cox analysis. Age, tumor size, MLNs, and tumor location were confirmed as independent prognostic factors. wTN was calculated in the training and validation cohorts, and nomograms were established with the independent factors. N stage had a higher weight proportion than T stage in both cohorts (0.625/0.375 in training cohort, 0.556/0.444 in validation cohort). wTN outperformed the 8 th TNM stage in C-index, likelihood ratio, Wald, and Score tests in the training cohort, with successful validation in the validation cohort. Stratified analysis of distinct pathological types further demonstrates that wTN staging exhibits superior prognostic performance. Conclusion: The wTN staging model based on T stage and N stage weights has a good prognostic value for gastric cancer patients. The same conclusion was obtained in different pathological stratification.
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