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Lymph node ratio (LNR) as a complementary staging system to TNM staging in salivary gland cancer
PURPOSE: The role of lymph node ratio (LNR, ratio of metastatic to examined nodes) in the staging of multiple human malignancies has been reported. We aim to evaluate its value in salivary gland cancer (SGC). METHODS: Records of SGC patients from Surveillance, Epidemiology, and End Results database...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858905/ https://www.ncbi.nlm.nih.gov/pubmed/31511971 http://dx.doi.org/10.1007/s00405-019-05597-0 |
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author | Lei, Bo-Wen Hu, Jia-Qian Yu, Peng-Cheng Wang, Yu-Long Wei, Wen-Jun Zhu, Ji Shi, Xiao Qu, Ning Lu, Zhong-Wu Ji, Qing-Hai |
author_facet | Lei, Bo-Wen Hu, Jia-Qian Yu, Peng-Cheng Wang, Yu-Long Wei, Wen-Jun Zhu, Ji Shi, Xiao Qu, Ning Lu, Zhong-Wu Ji, Qing-Hai |
author_sort | Lei, Bo-Wen |
collection | PubMed |
description | PURPOSE: The role of lymph node ratio (LNR, ratio of metastatic to examined nodes) in the staging of multiple human malignancies has been reported. We aim to evaluate its value in salivary gland cancer (SGC). METHODS: Records of SGC patients from Surveillance, Epidemiology, and End Results database (SEER, training set, N = 4262) and Fudan University Shanghai Cancer Center (FUSCC, validating set, N = 154) were analyzed for the prognostic value of LNR. Kaplan–Meier survival estimates, the Log-rank χ(2) test and Cox proportional hazards model were used for univariate and multivariate analysis. Optimal LNR cutoff points were identified by X-tile. RESULTS: Optimal LNR cutoff points classified patients into four risk groups, R0, R1 (≤ 0.17), R2 (0.17–0.56) and R3 (> 0.56), corresponding to 5-year cause-specific survival in SEER patients of 88.6%, 57.2%, 53.1% and 39.7%, disease-free survival in FUSCC patients of 69.2%, 63.3%, 34.6% and 0%, and disease-specific survival in FUSCC patients of 92.3%, 90.0%, 71.4% and 0%, respectively. Compared with TNM staging, TNM + R staging showed smaller AIC values and higher C-index values in the Cox regression model in both patient sets. CONCLUSIONS: LNR classification should be considered as a complementary system to TNM staging and LNR classification based clinical trials deserve further research. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00405-019-05597-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6858905 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-68589052019-12-03 Lymph node ratio (LNR) as a complementary staging system to TNM staging in salivary gland cancer Lei, Bo-Wen Hu, Jia-Qian Yu, Peng-Cheng Wang, Yu-Long Wei, Wen-Jun Zhu, Ji Shi, Xiao Qu, Ning Lu, Zhong-Wu Ji, Qing-Hai Eur Arch Otorhinolaryngol Head and Neck PURPOSE: The role of lymph node ratio (LNR, ratio of metastatic to examined nodes) in the staging of multiple human malignancies has been reported. We aim to evaluate its value in salivary gland cancer (SGC). METHODS: Records of SGC patients from Surveillance, Epidemiology, and End Results database (SEER, training set, N = 4262) and Fudan University Shanghai Cancer Center (FUSCC, validating set, N = 154) were analyzed for the prognostic value of LNR. Kaplan–Meier survival estimates, the Log-rank χ(2) test and Cox proportional hazards model were used for univariate and multivariate analysis. Optimal LNR cutoff points were identified by X-tile. RESULTS: Optimal LNR cutoff points classified patients into four risk groups, R0, R1 (≤ 0.17), R2 (0.17–0.56) and R3 (> 0.56), corresponding to 5-year cause-specific survival in SEER patients of 88.6%, 57.2%, 53.1% and 39.7%, disease-free survival in FUSCC patients of 69.2%, 63.3%, 34.6% and 0%, and disease-specific survival in FUSCC patients of 92.3%, 90.0%, 71.4% and 0%, respectively. Compared with TNM staging, TNM + R staging showed smaller AIC values and higher C-index values in the Cox regression model in both patient sets. CONCLUSIONS: LNR classification should be considered as a complementary system to TNM staging and LNR classification based clinical trials deserve further research. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00405-019-05597-0) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2019-09-11 2019 /pmc/articles/PMC6858905/ /pubmed/31511971 http://dx.doi.org/10.1007/s00405-019-05597-0 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Head and Neck Lei, Bo-Wen Hu, Jia-Qian Yu, Peng-Cheng Wang, Yu-Long Wei, Wen-Jun Zhu, Ji Shi, Xiao Qu, Ning Lu, Zhong-Wu Ji, Qing-Hai Lymph node ratio (LNR) as a complementary staging system to TNM staging in salivary gland cancer |
title | Lymph node ratio (LNR) as a complementary staging system to TNM staging in salivary gland cancer |
title_full | Lymph node ratio (LNR) as a complementary staging system to TNM staging in salivary gland cancer |
title_fullStr | Lymph node ratio (LNR) as a complementary staging system to TNM staging in salivary gland cancer |
title_full_unstemmed | Lymph node ratio (LNR) as a complementary staging system to TNM staging in salivary gland cancer |
title_short | Lymph node ratio (LNR) as a complementary staging system to TNM staging in salivary gland cancer |
title_sort | lymph node ratio (lnr) as a complementary staging system to tnm staging in salivary gland cancer |
topic | Head and Neck |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6858905/ https://www.ncbi.nlm.nih.gov/pubmed/31511971 http://dx.doi.org/10.1007/s00405-019-05597-0 |
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