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Predictors of nodal metastasis and prognostic significance of lymph node ratio and total lymph node count in tracheobronchial adenoid cystic carcinoma

PURPOSE: To identify potential risk factors of lymph node metastasis and to verify the prognostic significance of the lymph node ratio (LNR) and the total number of lymph nodes examined (NNE) in tracheobronchial adenoid cystic carcinoma (ACC) patients, using a large population-based database. PATIEN...

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Autores principales: Wo, Yang, Li, Shicheng, Wang, Yuanyong, Lu, Tong, Qin, Yi, Sun, Xiao, Jiao, Wenjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6250114/
https://www.ncbi.nlm.nih.gov/pubmed/30510459
http://dx.doi.org/10.2147/CMAR.S182069
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author Wo, Yang
Li, Shicheng
Wang, Yuanyong
Lu, Tong
Qin, Yi
Sun, Xiao
Jiao, Wenjie
author_facet Wo, Yang
Li, Shicheng
Wang, Yuanyong
Lu, Tong
Qin, Yi
Sun, Xiao
Jiao, Wenjie
author_sort Wo, Yang
collection PubMed
description PURPOSE: To identify potential risk factors of lymph node metastasis and to verify the prognostic significance of the lymph node ratio (LNR) and the total number of lymph nodes examined (NNE) in tracheobronchial adenoid cystic carcinoma (ACC) patients, using a large population-based database. PATIENTS AND METHODS: From Surveillance, Epidemiology, and End Results database, we identified 263 patients with tracheobronchial ACC in whom complete lymph node data could be obtained. Logistic regression analysis was performed to determine predictive factors of nodal metastasis. X-tile software determined the optimal cut-off points for LNR and NNE. Kaplan– Meier analyses and Cox regression models were adopted for survival analysis. RESULTS: Of 263 patients, 75 (28.5%) had lymph node involvement. Tumors of bronchial origin (P<0.001) and tumors larger than 30 mm (P<0.001) were associated with a higher likelihood of nodal involvement. Examination of more than ten lymph nodes could avoid understaging and resulted in improved survival; meanwhile, patients with a LNR of 0.07 or less had favorable prognosis. CONCLUSION: Patients with tracheobronchial ACC have significant risk of lymph node metastasis. Bronchial ACC and larger tumor size are both risk factors of lymph node metastasis. LNR and NNE may provide a more precise prediction of survival and could be taken into account in future clinical work.
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spelling pubmed-62501142018-12-03 Predictors of nodal metastasis and prognostic significance of lymph node ratio and total lymph node count in tracheobronchial adenoid cystic carcinoma Wo, Yang Li, Shicheng Wang, Yuanyong Lu, Tong Qin, Yi Sun, Xiao Jiao, Wenjie Cancer Manag Res Original Research PURPOSE: To identify potential risk factors of lymph node metastasis and to verify the prognostic significance of the lymph node ratio (LNR) and the total number of lymph nodes examined (NNE) in tracheobronchial adenoid cystic carcinoma (ACC) patients, using a large population-based database. PATIENTS AND METHODS: From Surveillance, Epidemiology, and End Results database, we identified 263 patients with tracheobronchial ACC in whom complete lymph node data could be obtained. Logistic regression analysis was performed to determine predictive factors of nodal metastasis. X-tile software determined the optimal cut-off points for LNR and NNE. Kaplan– Meier analyses and Cox regression models were adopted for survival analysis. RESULTS: Of 263 patients, 75 (28.5%) had lymph node involvement. Tumors of bronchial origin (P<0.001) and tumors larger than 30 mm (P<0.001) were associated with a higher likelihood of nodal involvement. Examination of more than ten lymph nodes could avoid understaging and resulted in improved survival; meanwhile, patients with a LNR of 0.07 or less had favorable prognosis. CONCLUSION: Patients with tracheobronchial ACC have significant risk of lymph node metastasis. Bronchial ACC and larger tumor size are both risk factors of lymph node metastasis. LNR and NNE may provide a more precise prediction of survival and could be taken into account in future clinical work. Dove Medical Press 2018-11-19 /pmc/articles/PMC6250114/ /pubmed/30510459 http://dx.doi.org/10.2147/CMAR.S182069 Text en © 2018 Wo et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Wo, Yang
Li, Shicheng
Wang, Yuanyong
Lu, Tong
Qin, Yi
Sun, Xiao
Jiao, Wenjie
Predictors of nodal metastasis and prognostic significance of lymph node ratio and total lymph node count in tracheobronchial adenoid cystic carcinoma
title Predictors of nodal metastasis and prognostic significance of lymph node ratio and total lymph node count in tracheobronchial adenoid cystic carcinoma
title_full Predictors of nodal metastasis and prognostic significance of lymph node ratio and total lymph node count in tracheobronchial adenoid cystic carcinoma
title_fullStr Predictors of nodal metastasis and prognostic significance of lymph node ratio and total lymph node count in tracheobronchial adenoid cystic carcinoma
title_full_unstemmed Predictors of nodal metastasis and prognostic significance of lymph node ratio and total lymph node count in tracheobronchial adenoid cystic carcinoma
title_short Predictors of nodal metastasis and prognostic significance of lymph node ratio and total lymph node count in tracheobronchial adenoid cystic carcinoma
title_sort predictors of nodal metastasis and prognostic significance of lymph node ratio and total lymph node count in tracheobronchial adenoid cystic carcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6250114/
https://www.ncbi.nlm.nih.gov/pubmed/30510459
http://dx.doi.org/10.2147/CMAR.S182069
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