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Development and validation of a clinical cure marker based on negative lymph nodes for gastric cancer after gastrectomy

OBJECTIVE: To explore lymph node (LN)-related derived indicators as clinical cure markers for gastric cancer (GC) after gastrectomy. METHODS: Data of resected GC patients were extracted from the SEER database and our own department. Propensity score matching (PSM) was used to balance the baseline di...

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Autores principales: Xie, Jiebin, Zhang, Yuan, He, Ming, Liu, Xu, Dong, Jing, Wang, Pan, Pang, Yueshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203492/
https://www.ncbi.nlm.nih.gov/pubmed/37228762
http://dx.doi.org/10.3389/fsurg.2023.1016252
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author Xie, Jiebin
Zhang, Yuan
He, Ming
Liu, Xu
Dong, Jing
Wang, Pan
Pang, Yueshan
author_facet Xie, Jiebin
Zhang, Yuan
He, Ming
Liu, Xu
Dong, Jing
Wang, Pan
Pang, Yueshan
author_sort Xie, Jiebin
collection PubMed
description OBJECTIVE: To explore lymph node (LN)-related derived indicators as clinical cure markers for gastric cancer (GC) after gastrectomy. METHODS: Data of resected GC patients were extracted from the SEER database and our own department. Propensity score matching (PSM) was used to balance the baseline differences between the clinical cure and the nonclinical cure groups. The area under the curve (AUC) and decision curve analysis (DCA) were used to choose the optimal marker, and survival analysis was used to validate the clinical value of the most effective marker. RESULTS: After PSM, the differences in age, sex, race, location, surgical type, and histologic type between the two groups were significantly reduced (all P > 0.05), and the AUCs of examined LNs (ELNs), negative LNs (NLNs), ESR (ELNs/tumor size), ETR (ELNs/T-stage), NSR (NLNs/tumor size), NTR (NLNs/T-stage), EPR (ELNs/PLNs) and NPR (NLNs/PLNs) were 0.522, 0.625, 0.622, 0.692, 0.706, 0.751, 7.43, and 7.50, respectively. When NTR was 5.9, the Youden index of 0.378 was the highest. The sensitivity and specificity were 67.5% and 70.3% in the training group and 66.79% and 67.8% in the validation group, respectively. DCA showed that NTR had the largest net clinical benefit, and patients with NTR greater than 5.9 had significantly prolonged overall survival in our own cohort. CONCLUSION: NLNs, NTR, NSR, ESR, ETR, NPR and EPR can be used as clinical cure markers. However, NTR was the most effective, and the best cutoff value was 5.9.
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spelling pubmed-102034922023-05-24 Development and validation of a clinical cure marker based on negative lymph nodes for gastric cancer after gastrectomy Xie, Jiebin Zhang, Yuan He, Ming Liu, Xu Dong, Jing Wang, Pan Pang, Yueshan Front Surg Surgery OBJECTIVE: To explore lymph node (LN)-related derived indicators as clinical cure markers for gastric cancer (GC) after gastrectomy. METHODS: Data of resected GC patients were extracted from the SEER database and our own department. Propensity score matching (PSM) was used to balance the baseline differences between the clinical cure and the nonclinical cure groups. The area under the curve (AUC) and decision curve analysis (DCA) were used to choose the optimal marker, and survival analysis was used to validate the clinical value of the most effective marker. RESULTS: After PSM, the differences in age, sex, race, location, surgical type, and histologic type between the two groups were significantly reduced (all P > 0.05), and the AUCs of examined LNs (ELNs), negative LNs (NLNs), ESR (ELNs/tumor size), ETR (ELNs/T-stage), NSR (NLNs/tumor size), NTR (NLNs/T-stage), EPR (ELNs/PLNs) and NPR (NLNs/PLNs) were 0.522, 0.625, 0.622, 0.692, 0.706, 0.751, 7.43, and 7.50, respectively. When NTR was 5.9, the Youden index of 0.378 was the highest. The sensitivity and specificity were 67.5% and 70.3% in the training group and 66.79% and 67.8% in the validation group, respectively. DCA showed that NTR had the largest net clinical benefit, and patients with NTR greater than 5.9 had significantly prolonged overall survival in our own cohort. CONCLUSION: NLNs, NTR, NSR, ESR, ETR, NPR and EPR can be used as clinical cure markers. However, NTR was the most effective, and the best cutoff value was 5.9. Frontiers Media S.A. 2023-05-09 /pmc/articles/PMC10203492/ /pubmed/37228762 http://dx.doi.org/10.3389/fsurg.2023.1016252 Text en © 2023 Xie, Zhang, He, Liu, Dong, Wang and Pang. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Surgery
Xie, Jiebin
Zhang, Yuan
He, Ming
Liu, Xu
Dong, Jing
Wang, Pan
Pang, Yueshan
Development and validation of a clinical cure marker based on negative lymph nodes for gastric cancer after gastrectomy
title Development and validation of a clinical cure marker based on negative lymph nodes for gastric cancer after gastrectomy
title_full Development and validation of a clinical cure marker based on negative lymph nodes for gastric cancer after gastrectomy
title_fullStr Development and validation of a clinical cure marker based on negative lymph nodes for gastric cancer after gastrectomy
title_full_unstemmed Development and validation of a clinical cure marker based on negative lymph nodes for gastric cancer after gastrectomy
title_short Development and validation of a clinical cure marker based on negative lymph nodes for gastric cancer after gastrectomy
title_sort development and validation of a clinical cure marker based on negative lymph nodes for gastric cancer after gastrectomy
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10203492/
https://www.ncbi.nlm.nih.gov/pubmed/37228762
http://dx.doi.org/10.3389/fsurg.2023.1016252
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