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Construction of a predictive model of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma and preliminary analysis of its effect on target for postoperative radiotherapy

PURPOSE: To investigate the influencing factors of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma (TESCC), and to construct its predictive model, in order to analyze the targets for postoperative radiotherapy. METHODS AND MATERIALS: From January 2008 to December 2014,...

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Autores principales: Gao, Hong-Mei, Zhang, Xue-Yuan, Shen, Wen-Bin, Xu, Jin-Rui, Li, You-Mei, Li, Shu-Guang, Zhu, Shu-Chai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708886/
https://www.ncbi.nlm.nih.gov/pubmed/36468078
http://dx.doi.org/10.3389/fsurg.2022.1039532
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author Gao, Hong-Mei
Zhang, Xue-Yuan
Shen, Wen-Bin
Xu, Jin-Rui
Li, You-Mei
Li, Shu-Guang
Zhu, Shu-Chai
author_facet Gao, Hong-Mei
Zhang, Xue-Yuan
Shen, Wen-Bin
Xu, Jin-Rui
Li, You-Mei
Li, Shu-Guang
Zhu, Shu-Chai
author_sort Gao, Hong-Mei
collection PubMed
description PURPOSE: To investigate the influencing factors of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma (TESCC), and to construct its predictive model, in order to analyze the targets for postoperative radiotherapy. METHODS AND MATERIALS: From January 2008 to December 2014, the clinicopathological data of 479 patients who underwent radical resection for esophageal cancer in the Fourth Hospital of Hebei Medical University were collected and retrospectively analyzed. The influencing factors of postoperative abdominal lymph node metastasis were analyzed, and a predictive model was constructed based on their independent influencing factors. Receiver operating characteristic (ROC) curve was utilized to analyze the predictive value of this model; in the meantime, the postoperative locoregional recurrence (LRR) of this group was analyzed. RESULTS: The postoperative pathology of all patients showed that the lymph node metastasis rate (LNR) was 39.7%, of which the abdominal lymph node metastasis rate was 22.0%. Logistic regression analysis revealed that the patient's lesion location, pN stage, vascular invasion, LND and mediastinal lymph node metastasis were independent risk factors for the positive rate of abdominal lymph nodes after surgery (P = 0.000, 0.000, 0.033, 0.000, 0.000). The probability of abdominal lymph node metastasis was Y = e(x)/(1 + e(x)), and X = −5.502 + 1.569 × lesion location + 4.269 × pN stage + 1.890 × vascular invasion + 1.950 × LND-4.248 × mediastinal lymph node metastasis. The area under the ROC curve (AUC) of this model in predicting abdominal lymph node metastasis was 0.962 (95% CI, 0.946–0.977). This mathematical model had a high predictive value for the occurrence of abdominal lymph node metastasis (P = 0.000), and the sensitivity and specificity of prediction were 94.6% and 88.3% respectively. The overall survival rate was significantly higher (X(2 )= 29.178, P = 0.000), while abdominal lymph node recurrence rate was lower in patients with negative abdominal lymph nodes than in those with negative lymph nodes (1.4%&7.7%, X(2 )= 12.254, P = 0.000). CONCLUSION: The lesion location, pN stage, vascular invasion, LND and mediastinal lymph node metastasis are independent influencing factors of abdominal lymph node metastasis in patients with TESCC. The mathematical model constructed by these indicators can accurately predict abdominal lymph node metastasis, which can help clinicians to choose the targets for postoperative radiotherapy.
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spelling pubmed-97088862022-12-01 Construction of a predictive model of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma and preliminary analysis of its effect on target for postoperative radiotherapy Gao, Hong-Mei Zhang, Xue-Yuan Shen, Wen-Bin Xu, Jin-Rui Li, You-Mei Li, Shu-Guang Zhu, Shu-Chai Front Surg Surgery PURPOSE: To investigate the influencing factors of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma (TESCC), and to construct its predictive model, in order to analyze the targets for postoperative radiotherapy. METHODS AND MATERIALS: From January 2008 to December 2014, the clinicopathological data of 479 patients who underwent radical resection for esophageal cancer in the Fourth Hospital of Hebei Medical University were collected and retrospectively analyzed. The influencing factors of postoperative abdominal lymph node metastasis were analyzed, and a predictive model was constructed based on their independent influencing factors. Receiver operating characteristic (ROC) curve was utilized to analyze the predictive value of this model; in the meantime, the postoperative locoregional recurrence (LRR) of this group was analyzed. RESULTS: The postoperative pathology of all patients showed that the lymph node metastasis rate (LNR) was 39.7%, of which the abdominal lymph node metastasis rate was 22.0%. Logistic regression analysis revealed that the patient's lesion location, pN stage, vascular invasion, LND and mediastinal lymph node metastasis were independent risk factors for the positive rate of abdominal lymph nodes after surgery (P = 0.000, 0.000, 0.033, 0.000, 0.000). The probability of abdominal lymph node metastasis was Y = e(x)/(1 + e(x)), and X = −5.502 + 1.569 × lesion location + 4.269 × pN stage + 1.890 × vascular invasion + 1.950 × LND-4.248 × mediastinal lymph node metastasis. The area under the ROC curve (AUC) of this model in predicting abdominal lymph node metastasis was 0.962 (95% CI, 0.946–0.977). This mathematical model had a high predictive value for the occurrence of abdominal lymph node metastasis (P = 0.000), and the sensitivity and specificity of prediction were 94.6% and 88.3% respectively. The overall survival rate was significantly higher (X(2 )= 29.178, P = 0.000), while abdominal lymph node recurrence rate was lower in patients with negative abdominal lymph nodes than in those with negative lymph nodes (1.4%&7.7%, X(2 )= 12.254, P = 0.000). CONCLUSION: The lesion location, pN stage, vascular invasion, LND and mediastinal lymph node metastasis are independent influencing factors of abdominal lymph node metastasis in patients with TESCC. The mathematical model constructed by these indicators can accurately predict abdominal lymph node metastasis, which can help clinicians to choose the targets for postoperative radiotherapy. Frontiers Media S.A. 2022-11-16 /pmc/articles/PMC9708886/ /pubmed/36468078 http://dx.doi.org/10.3389/fsurg.2022.1039532 Text en © 2022 Gao, Zhang, Shen, Xu, Li, Li and Zhu. 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
Gao, Hong-Mei
Zhang, Xue-Yuan
Shen, Wen-Bin
Xu, Jin-Rui
Li, You-Mei
Li, Shu-Guang
Zhu, Shu-Chai
Construction of a predictive model of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma and preliminary analysis of its effect on target for postoperative radiotherapy
title Construction of a predictive model of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma and preliminary analysis of its effect on target for postoperative radiotherapy
title_full Construction of a predictive model of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma and preliminary analysis of its effect on target for postoperative radiotherapy
title_fullStr Construction of a predictive model of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma and preliminary analysis of its effect on target for postoperative radiotherapy
title_full_unstemmed Construction of a predictive model of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma and preliminary analysis of its effect on target for postoperative radiotherapy
title_short Construction of a predictive model of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma and preliminary analysis of its effect on target for postoperative radiotherapy
title_sort construction of a predictive model of abdominal lymph node metastasis in thoracic esophageal squamous cell carcinoma and preliminary analysis of its effect on target for postoperative radiotherapy
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708886/
https://www.ncbi.nlm.nih.gov/pubmed/36468078
http://dx.doi.org/10.3389/fsurg.2022.1039532
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