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Development and validation of prognostic model based on extragastric lymph nodes metastasis and lymph node ratio in node-positive gastric cancer: a retrospective cohort study based on a multicenter database

Regional lymph node metastasis (LNM) is a competent and the most intensive predictor for the prognostic evaluation of patients after curative surgery. This study is based on the databases of two large medical centers in North and South China. It aims to establish a prognostic model based on extragas...

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Autores principales: Zeng, Yi, Cai, Fenglin, Wang, Pengliang, Wang, Xinyu, Liu, Yong, Zhang, Li, Zhang, Rupeng, Chen, Luchuan, Liang, Han, Ye, Zaisheng, Deng, Jingyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389378/
https://www.ncbi.nlm.nih.gov/pubmed/36999785
http://dx.doi.org/10.1097/JS9.0000000000000308
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author Zeng, Yi
Cai, Fenglin
Wang, Pengliang
Wang, Xinyu
Liu, Yong
Zhang, Li
Zhang, Rupeng
Chen, Luchuan
Liang, Han
Ye, Zaisheng
Deng, Jingyu
author_facet Zeng, Yi
Cai, Fenglin
Wang, Pengliang
Wang, Xinyu
Liu, Yong
Zhang, Li
Zhang, Rupeng
Chen, Luchuan
Liang, Han
Ye, Zaisheng
Deng, Jingyu
author_sort Zeng, Yi
collection PubMed
description Regional lymph node metastasis (LNM) is a competent and the most intensive predictor for the prognostic evaluation of patients after curative surgery. This study is based on the databases of two large medical centers in North and South China. It aims to establish a prognostic model based on extragastric LNM (ELNM) and lymph node ratio (LNR) in node-positive gastric cancer (GC). METHODS: Clinical data of 874 GC patients with pathologically confirmed LNM in a large medical center in southern China, were included as the training cohort. In addition, the clinical data of 674 patients with pathologically confirmed LNM from a large medical center in northern China were used as the validation cohort. RESULTS: In the training cohort, a modified N staging system (mNstage) based on ELNM and LNR was established; it has a significantly higher prognostic accuracy than the pN, LNR and ELNM staging system (Akaike Information Criterion, pN stage vs. LNR stage vs. ELNM stage vs. mN stage=5498.479 vs. 5537.815 vs. 5569.844 vs. 5492.123; Bayesian Information Criterion, pN stage vs. LNR stage vs. ELNM stage vs. mN stage=5512.799 vs. 5547.361 vs. 5574.617 vs. 5506.896; likelihood-ratio χ (2), pN stage vs. LNR stage vs. ELNM stage vs. mN stage=177.7 vs. 149.8 vs. 115.79 vs. 183.5). In the external validation, mNstage also has higher prognostic accuracy than the pN, LNR and ELNM staging system. Cox multivariate regression analysis showed that age, mNstage, pT stage, and perineural invasion were independent factors. A nomogram model was established according to the four factors (age, mNstage, pT stage, and perineural invasion). The nomogram model was greater than the traditional tumor–node–metastasis (TNM) staging in the training cohort [1-year area under the curve (AUC), American Joint Commission for Cancer (AJCC) 8th TNM vs. nomogram=0.692 vs. 0.746, 3-year AUC: AJCC 8th TNM vs. nomogram=0.684 vs. 0.758, 5-year AUC: AJCC 8th TNM vs. nomogram=0.725 vs. 0.762]. In the external validation, the nomogram also showed better prognostic value and greater prediction accuracy than the traditional TNM staging. CONCLUSION: The prognostic model based on ELNM and LNR has good prognostic prediction in patients with node-positive GC.
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spelling pubmed-103893782023-08-01 Development and validation of prognostic model based on extragastric lymph nodes metastasis and lymph node ratio in node-positive gastric cancer: a retrospective cohort study based on a multicenter database Zeng, Yi Cai, Fenglin Wang, Pengliang Wang, Xinyu Liu, Yong Zhang, Li Zhang, Rupeng Chen, Luchuan Liang, Han Ye, Zaisheng Deng, Jingyu Int J Surg Original Research Regional lymph node metastasis (LNM) is a competent and the most intensive predictor for the prognostic evaluation of patients after curative surgery. This study is based on the databases of two large medical centers in North and South China. It aims to establish a prognostic model based on extragastric LNM (ELNM) and lymph node ratio (LNR) in node-positive gastric cancer (GC). METHODS: Clinical data of 874 GC patients with pathologically confirmed LNM in a large medical center in southern China, were included as the training cohort. In addition, the clinical data of 674 patients with pathologically confirmed LNM from a large medical center in northern China were used as the validation cohort. RESULTS: In the training cohort, a modified N staging system (mNstage) based on ELNM and LNR was established; it has a significantly higher prognostic accuracy than the pN, LNR and ELNM staging system (Akaike Information Criterion, pN stage vs. LNR stage vs. ELNM stage vs. mN stage=5498.479 vs. 5537.815 vs. 5569.844 vs. 5492.123; Bayesian Information Criterion, pN stage vs. LNR stage vs. ELNM stage vs. mN stage=5512.799 vs. 5547.361 vs. 5574.617 vs. 5506.896; likelihood-ratio χ (2), pN stage vs. LNR stage vs. ELNM stage vs. mN stage=177.7 vs. 149.8 vs. 115.79 vs. 183.5). In the external validation, mNstage also has higher prognostic accuracy than the pN, LNR and ELNM staging system. Cox multivariate regression analysis showed that age, mNstage, pT stage, and perineural invasion were independent factors. A nomogram model was established according to the four factors (age, mNstage, pT stage, and perineural invasion). The nomogram model was greater than the traditional tumor–node–metastasis (TNM) staging in the training cohort [1-year area under the curve (AUC), American Joint Commission for Cancer (AJCC) 8th TNM vs. nomogram=0.692 vs. 0.746, 3-year AUC: AJCC 8th TNM vs. nomogram=0.684 vs. 0.758, 5-year AUC: AJCC 8th TNM vs. nomogram=0.725 vs. 0.762]. In the external validation, the nomogram also showed better prognostic value and greater prediction accuracy than the traditional TNM staging. CONCLUSION: The prognostic model based on ELNM and LNR has good prognostic prediction in patients with node-positive GC. Lippincott Williams & Wilkins 2023-03-31 /pmc/articles/PMC10389378/ /pubmed/36999785 http://dx.doi.org/10.1097/JS9.0000000000000308 Text en © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Original Research
Zeng, Yi
Cai, Fenglin
Wang, Pengliang
Wang, Xinyu
Liu, Yong
Zhang, Li
Zhang, Rupeng
Chen, Luchuan
Liang, Han
Ye, Zaisheng
Deng, Jingyu
Development and validation of prognostic model based on extragastric lymph nodes metastasis and lymph node ratio in node-positive gastric cancer: a retrospective cohort study based on a multicenter database
title Development and validation of prognostic model based on extragastric lymph nodes metastasis and lymph node ratio in node-positive gastric cancer: a retrospective cohort study based on a multicenter database
title_full Development and validation of prognostic model based on extragastric lymph nodes metastasis and lymph node ratio in node-positive gastric cancer: a retrospective cohort study based on a multicenter database
title_fullStr Development and validation of prognostic model based on extragastric lymph nodes metastasis and lymph node ratio in node-positive gastric cancer: a retrospective cohort study based on a multicenter database
title_full_unstemmed Development and validation of prognostic model based on extragastric lymph nodes metastasis and lymph node ratio in node-positive gastric cancer: a retrospective cohort study based on a multicenter database
title_short Development and validation of prognostic model based on extragastric lymph nodes metastasis and lymph node ratio in node-positive gastric cancer: a retrospective cohort study based on a multicenter database
title_sort development and validation of prognostic model based on extragastric lymph nodes metastasis and lymph node ratio in node-positive gastric cancer: a retrospective cohort study based on a multicenter database
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10389378/
https://www.ncbi.nlm.nih.gov/pubmed/36999785
http://dx.doi.org/10.1097/JS9.0000000000000308
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