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Development and validation of the novel subclassification of pN3 for patients with esophageal cancer

BACKGROUND: Patients with stage pN3 esophageal cancer (EC) have a large number of metastatic lymph nodes (mLNs) and have poor prognosis. This study was to elucidate whether subclassification of pN3 according to the number of mLNs could improve the discrimination ability of EC patients. METHODS: This...

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Autores principales: Ma, Keru, Wang, Hao, Fang, Chengyuan, Jiang, Xiangyu, Ma, Jianqun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187992/
https://www.ncbi.nlm.nih.gov/pubmed/37205185
http://dx.doi.org/10.3389/fonc.2023.1113711
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author Ma, Keru
Wang, Hao
Fang, Chengyuan
Jiang, Xiangyu
Ma, Jianqun
author_facet Ma, Keru
Wang, Hao
Fang, Chengyuan
Jiang, Xiangyu
Ma, Jianqun
author_sort Ma, Keru
collection PubMed
description BACKGROUND: Patients with stage pN3 esophageal cancer (EC) have a large number of metastatic lymph nodes (mLNs) and have poor prognosis. This study was to elucidate whether subclassification of pN3 according to the number of mLNs could improve the discrimination ability of EC patients. METHODS: This study retrospectively analyzed patients with pN3 EC from the Surveillance, Epidemiology, and End Results (SEER) database as a training cohort and SEER validation cohort. Patients with pN3 esophageal cancer from the Affiliated Cancer Hospital of Harbin Medical University were used as the validation cohort. The optimal cutoff value of mLNs was identified using the X-tile software, and group pN3 into pN3-I and pN3-II based on mLNs. Kaplan-Meier method and log-rank test were used to analyze the disease-specific survival (DSS). The Cox proportional hazards regression analysis was used to identify the independent prognostic factors. RESULTS: For the training cohort, patients with 7 to 9 mLNs were categorized as pN3-I, while those with more than 9 mLNs were categorized as pN3-II. There were 183 (53.8%) pN3-I and 157 (46.2%) pN3-II. The 5-year DSS rates of pN3-I and pN3-II in the training cohort were 11.7% and 5.2% (P=0.033), and the pN3 subclassification was an independent risk factor associated with patient prognosis. More RLNs may not improve patient prognosis, but the use of mLNs/RLNs is effective in predicting patient prognosis. Furthermore, the pN3 subclassification was well validated in the validation cohort. CONCLUSION: Subclassification of pN3 can better distinguish survival differences in EC patients.
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spelling pubmed-101879922023-05-17 Development and validation of the novel subclassification of pN3 for patients with esophageal cancer Ma, Keru Wang, Hao Fang, Chengyuan Jiang, Xiangyu Ma, Jianqun Front Oncol Oncology BACKGROUND: Patients with stage pN3 esophageal cancer (EC) have a large number of metastatic lymph nodes (mLNs) and have poor prognosis. This study was to elucidate whether subclassification of pN3 according to the number of mLNs could improve the discrimination ability of EC patients. METHODS: This study retrospectively analyzed patients with pN3 EC from the Surveillance, Epidemiology, and End Results (SEER) database as a training cohort and SEER validation cohort. Patients with pN3 esophageal cancer from the Affiliated Cancer Hospital of Harbin Medical University were used as the validation cohort. The optimal cutoff value of mLNs was identified using the X-tile software, and group pN3 into pN3-I and pN3-II based on mLNs. Kaplan-Meier method and log-rank test were used to analyze the disease-specific survival (DSS). The Cox proportional hazards regression analysis was used to identify the independent prognostic factors. RESULTS: For the training cohort, patients with 7 to 9 mLNs were categorized as pN3-I, while those with more than 9 mLNs were categorized as pN3-II. There were 183 (53.8%) pN3-I and 157 (46.2%) pN3-II. The 5-year DSS rates of pN3-I and pN3-II in the training cohort were 11.7% and 5.2% (P=0.033), and the pN3 subclassification was an independent risk factor associated with patient prognosis. More RLNs may not improve patient prognosis, but the use of mLNs/RLNs is effective in predicting patient prognosis. Furthermore, the pN3 subclassification was well validated in the validation cohort. CONCLUSION: Subclassification of pN3 can better distinguish survival differences in EC patients. Frontiers Media S.A. 2023-05-02 /pmc/articles/PMC10187992/ /pubmed/37205185 http://dx.doi.org/10.3389/fonc.2023.1113711 Text en Copyright © 2023 Ma, Wang, Fang, Jiang and Ma 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). 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 Oncology
Ma, Keru
Wang, Hao
Fang, Chengyuan
Jiang, Xiangyu
Ma, Jianqun
Development and validation of the novel subclassification of pN3 for patients with esophageal cancer
title Development and validation of the novel subclassification of pN3 for patients with esophageal cancer
title_full Development and validation of the novel subclassification of pN3 for patients with esophageal cancer
title_fullStr Development and validation of the novel subclassification of pN3 for patients with esophageal cancer
title_full_unstemmed Development and validation of the novel subclassification of pN3 for patients with esophageal cancer
title_short Development and validation of the novel subclassification of pN3 for patients with esophageal cancer
title_sort development and validation of the novel subclassification of pn3 for patients with esophageal cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187992/
https://www.ncbi.nlm.nih.gov/pubmed/37205185
http://dx.doi.org/10.3389/fonc.2023.1113711
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