Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study

Background: We aim to assess the prognostic ability of three common lymph node–based staging algorithms, namely, the number of positive lymph nodes (pN), the lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) in patients with esophageal squamous cell carcinoma (ESCC). Methods: A to...

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Autores principales:	Junmiao Wen, Jiayan Chen, Donglai Chen, Salma K. Jabbour, Tao Xue, Xufeng Guo, Haitao Ma, Fei Ye, Yiming Mao, Jian Shu, Yangyang Liu, Xueguan Lu, Zhen Zhang, Yongbing Chen, Min Fan
Formato:	article
Lenguaje:	EN
Publicado:	SAGE Publishing 2021
Materias:	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/fc872dafc56a4c199c6417589f9e4607
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spelling	oai:doaj.org-article:fc872dafc56a4c199c6417589f9e46072021-11-05T22:03:50ZComprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study1758-835910.1177/17588359211054895https://doaj.org/article/fc872dafc56a4c199c6417589f9e46072021-11-01T00:00:00Zhttps://doi.org/10.1177/17588359211054895https://doaj.org/toc/1758-8359Background: We aim to assess the prognostic ability of three common lymph node–based staging algorithms, namely, the number of positive lymph nodes (pN), the lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) in patients with esophageal squamous cell carcinoma (ESCC). Methods: A total of 3902 ESCC patients treated at 10 Chinese institutions between 2003 and 2013 were included, along with 2465 patients from the Surveillance, Epidemiology, and End Results (SEER) database. The prognostic ability of the aforementioned algorithms was evaluated using time-dependent receiver operating characteristic (tdROC) curves, R 2 , Harrell’s concordance index (C-index), and the likelihood ratio chi-square score. The primary outcomes included cancer-specific survival (CSS), overall survival (OS), and CSS with a competing risk of death by non-ESCC causes. Results: LODDS had better prognostic performance than pN or LNR in both continuous and stratified patterns. In the multicenter cohort, the multivariate analysis showed that the model based on LODDS classification was superior to the others in predictive accuracy and discriminatory capacity. Two nomograms integrating LODDS classification and other clinicopathological risk factors associated with OS as well as cancer-specific mortality were constructed and validated in the SEER database. Finally, a novel TN LODDS classification which incorporates the LODDS classification was built and categorized patients in to three new stages. Conclusion: Among the three lymph node–based staging algorithms, LODDS demonstrated the highest discriminative capacity and prognostic accuracy for ESCC patients. The nomograms and novel TN LODDS classification based on LODDS classification could serve as precise evaluation tools to assist clinicians in estimating the survival time of individual patients and improving clinical outcomes postoperatively in the future.Junmiao WenJiayan ChenDonglai ChenSalma K. JabbourTao XueXufeng GuoHaitao MaFei YeYiming MaoJian ShuYangyang LiuXueguan LuZhen ZhangYongbing ChenMin FanSAGE PublishingarticleNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENTherapeutic Advances in Medical Oncology, Vol 13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Junmiao Wen Jiayan Chen Donglai Chen Salma K. Jabbour Tao Xue Xufeng Guo Haitao Ma Fei Ye Yiming Mao Jian Shu Yangyang Liu Xueguan Lu Zhen Zhang Yongbing Chen Min Fan Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study
description	Background: We aim to assess the prognostic ability of three common lymph node–based staging algorithms, namely, the number of positive lymph nodes (pN), the lymph node ratio (LNR), and log odds of positive lymph nodes (LODDS) in patients with esophageal squamous cell carcinoma (ESCC). Methods: A total of 3902 ESCC patients treated at 10 Chinese institutions between 2003 and 2013 were included, along with 2465 patients from the Surveillance, Epidemiology, and End Results (SEER) database. The prognostic ability of the aforementioned algorithms was evaluated using time-dependent receiver operating characteristic (tdROC) curves, R 2 , Harrell’s concordance index (C-index), and the likelihood ratio chi-square score. The primary outcomes included cancer-specific survival (CSS), overall survival (OS), and CSS with a competing risk of death by non-ESCC causes. Results: LODDS had better prognostic performance than pN or LNR in both continuous and stratified patterns. In the multicenter cohort, the multivariate analysis showed that the model based on LODDS classification was superior to the others in predictive accuracy and discriminatory capacity. Two nomograms integrating LODDS classification and other clinicopathological risk factors associated with OS as well as cancer-specific mortality were constructed and validated in the SEER database. Finally, a novel TN LODDS classification which incorporates the LODDS classification was built and categorized patients in to three new stages. Conclusion: Among the three lymph node–based staging algorithms, LODDS demonstrated the highest discriminative capacity and prognostic accuracy for ESCC patients. The nomograms and novel TN LODDS classification based on LODDS classification could serve as precise evaluation tools to assist clinicians in estimating the survival time of individual patients and improving clinical outcomes postoperatively in the future.
format	article
author	Junmiao Wen Jiayan Chen Donglai Chen Salma K. Jabbour Tao Xue Xufeng Guo Haitao Ma Fei Ye Yiming Mao Jian Shu Yangyang Liu Xueguan Lu Zhen Zhang Yongbing Chen Min Fan
author_facet	Junmiao Wen Jiayan Chen Donglai Chen Salma K. Jabbour Tao Xue Xufeng Guo Haitao Ma Fei Ye Yiming Mao Jian Shu Yangyang Liu Xueguan Lu Zhen Zhang Yongbing Chen Min Fan
author_sort	Junmiao Wen
title	Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study
title_short	Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study
title_full	Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study
title_fullStr	Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study
title_full_unstemmed	Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study
title_sort	comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study
publisher	SAGE Publishing
publishDate	2021
url	https://doaj.org/article/fc872dafc56a4c199c6417589f9e4607
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Comprehensive analysis of prognostic value of lymph node classifications in esophageal squamous cell carcinoma: a large real-world multicenter study

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