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非转移性胃印戒细胞癌长期幸存者的特征和预测因素:一项基于大规模人群的研究
Authors Weng Q, Li Z, Xie Y, Guo J , Zhang Y, Ye G
Received 14 December 2021
Accepted for publication 7 March 2022
Published 19 March 2022 Volume 2022:15 Pages 3133—3142
DOI https://doi.org/10.2147/IJGM.S350448
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 2
Editor who approved publication: Dr Scott Fraser
Objective: Gastric signet ring cell carcinoma (SRCC) is a distinct entity with a relatively poor prognosis. This study analyzed the clinicopathological characteristics of long-time survivors (LTSs) and identified independent predictors of long-term survival (LTS) in non-metastatic gastric SRCC.
Methods: Data from 3906 patients with non-metastatic gastric SRCC were retrieved from Surveillance, Epidemiology and End Results according to the inclusion and exclusion criteria. Patients were randomly divided into training and validation cohorts. Predictors of LTS in the training cohort were identified by multivariate logistic regression. A nomogram-based predictive model for LTS was constructed in non-metastatic gastric SRCC.
Results: There were 800 patients who survived for > 5 years and were defined as TLSs. Young age, other race (not black or white population), female gender, married status, small tumor size, low tumor infiltration, and negative lymph node involvement were independent predictors of LTS in non-metastatic gastric SRCC. These seven variables were incorporated into a nomogram model for predicting LTS. The calibration curve showed good consistency between observed and predicted probability of LTS, and the receiver operating characteristic curve showed acceptable discriminative capacity in the training and validation cohorts.
Conclusion: This study provides an overview of the features of patients with non-metastatic gastric SRCC. Age, race, sex, marital status, tumor size, tumor infiltration, and lymph node involvement were identified as independent predictors of LTS.
Keywords: gastric cancer, signet ring cell carcinoma, long-time survivor, nomogram