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Patterns of care and prognostic evaluation for stage I–III upper esophageal squamous cell carcinoma: a population-based study

BACKGROUND: There is no strong evidence regarding the optimal treatment and specific prognosis prediction model for upper esophageal squamous cell carcinoma (UESCC). This study aimed to investigate the real-world treatment patterns and develop models to predict overall survival (OS) and esophageal c...

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Autores principales: Chen, Dongbo, Zha, Xiaozhu, Ye, Dongmei, Kang, Mei, Zhu, Liyang, Yang, Mingwei, Chen, Yu, Zhu, Kechao, Xia, Wanli, Wang, Zhi, Wang, Yichun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761128/
https://www.ncbi.nlm.nih.gov/pubmed/36544690
http://dx.doi.org/10.21037/atm-22-4577
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author Chen, Dongbo
Zha, Xiaozhu
Ye, Dongmei
Kang, Mei
Zhu, Liyang
Yang, Mingwei
Chen, Yu
Zhu, Kechao
Xia, Wanli
Wang, Zhi
Wang, Yichun
author_facet Chen, Dongbo
Zha, Xiaozhu
Ye, Dongmei
Kang, Mei
Zhu, Liyang
Yang, Mingwei
Chen, Yu
Zhu, Kechao
Xia, Wanli
Wang, Zhi
Wang, Yichun
author_sort Chen, Dongbo
collection PubMed
description BACKGROUND: There is no strong evidence regarding the optimal treatment and specific prognosis prediction model for upper esophageal squamous cell carcinoma (UESCC). This study aimed to investigate the real-world treatment patterns and develop models to predict overall survival (OS) and esophageal cancer-specific survival (ECSS) in patients with stage I–III UESCC. METHODS: Patients with T1-4N0-3M0 UESCC in the Surveillance, Epidemiology, and End Results (SEER) database were identified from 2010 to 2017, and randomized to a training cohort and a validation cohort. The effect of treatment patterns on survival were comprehensively analyzed. Nomograms were developed by incorporating independent prognostic factors analyzed by Cox regression in the training cohort and evaluated by the concordance index (C-index), receiver operating characteristic (ROC) curves, calibration curves, and decision curve analyses (DCA) in two cohorts. RESULTS: A total of 677 patients were identified, including 452 in the training cohort and 225 in the validation cohort. Among all populations, 71.9% (487) received chemoradiotherapy without surgery, and chemoradiotherapy or/and surgery showed better survival than other treatments. However, surgery was rarely carried out for patients with stage II–III. T stage, N stage, surgery, chemotherapy, and radiotherapy were independent risks for both OS and ECSS, while age was also an independent risk for OS. The C-indexes for nomograms to predict OS (0.71 and 0.72) and ECSS (0.70 and 0.73) were greater than 7th AJCC staging system to predict OS (0.61 and 0.64) and ECSS (0.64 and 0.64) in both the training cohort and the validation cohort. Time-dependent ROC curves and DCA also suggested that nomograms performed consistently better than 7th AJCC staging system. The calibration curves demonstrated good consistency in predicting survival. CONCLUSIONS: Chemoradiotherapy was a major treatment with preferable survival for patients with stage I–III UESCC. We have firstly developed and validated prognostic nomograms in patients with stage I–III UESCC, which would play a supplementary role in the current staging system.
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spelling pubmed-97611282022-12-20 Patterns of care and prognostic evaluation for stage I–III upper esophageal squamous cell carcinoma: a population-based study Chen, Dongbo Zha, Xiaozhu Ye, Dongmei Kang, Mei Zhu, Liyang Yang, Mingwei Chen, Yu Zhu, Kechao Xia, Wanli Wang, Zhi Wang, Yichun Ann Transl Med Original Article BACKGROUND: There is no strong evidence regarding the optimal treatment and specific prognosis prediction model for upper esophageal squamous cell carcinoma (UESCC). This study aimed to investigate the real-world treatment patterns and develop models to predict overall survival (OS) and esophageal cancer-specific survival (ECSS) in patients with stage I–III UESCC. METHODS: Patients with T1-4N0-3M0 UESCC in the Surveillance, Epidemiology, and End Results (SEER) database were identified from 2010 to 2017, and randomized to a training cohort and a validation cohort. The effect of treatment patterns on survival were comprehensively analyzed. Nomograms were developed by incorporating independent prognostic factors analyzed by Cox regression in the training cohort and evaluated by the concordance index (C-index), receiver operating characteristic (ROC) curves, calibration curves, and decision curve analyses (DCA) in two cohorts. RESULTS: A total of 677 patients were identified, including 452 in the training cohort and 225 in the validation cohort. Among all populations, 71.9% (487) received chemoradiotherapy without surgery, and chemoradiotherapy or/and surgery showed better survival than other treatments. However, surgery was rarely carried out for patients with stage II–III. T stage, N stage, surgery, chemotherapy, and radiotherapy were independent risks for both OS and ECSS, while age was also an independent risk for OS. The C-indexes for nomograms to predict OS (0.71 and 0.72) and ECSS (0.70 and 0.73) were greater than 7th AJCC staging system to predict OS (0.61 and 0.64) and ECSS (0.64 and 0.64) in both the training cohort and the validation cohort. Time-dependent ROC curves and DCA also suggested that nomograms performed consistently better than 7th AJCC staging system. The calibration curves demonstrated good consistency in predicting survival. CONCLUSIONS: Chemoradiotherapy was a major treatment with preferable survival for patients with stage I–III UESCC. We have firstly developed and validated prognostic nomograms in patients with stage I–III UESCC, which would play a supplementary role in the current staging system. AME Publishing Company 2022-11 /pmc/articles/PMC9761128/ /pubmed/36544690 http://dx.doi.org/10.21037/atm-22-4577 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Chen, Dongbo
Zha, Xiaozhu
Ye, Dongmei
Kang, Mei
Zhu, Liyang
Yang, Mingwei
Chen, Yu
Zhu, Kechao
Xia, Wanli
Wang, Zhi
Wang, Yichun
Patterns of care and prognostic evaluation for stage I–III upper esophageal squamous cell carcinoma: a population-based study
title Patterns of care and prognostic evaluation for stage I–III upper esophageal squamous cell carcinoma: a population-based study
title_full Patterns of care and prognostic evaluation for stage I–III upper esophageal squamous cell carcinoma: a population-based study
title_fullStr Patterns of care and prognostic evaluation for stage I–III upper esophageal squamous cell carcinoma: a population-based study
title_full_unstemmed Patterns of care and prognostic evaluation for stage I–III upper esophageal squamous cell carcinoma: a population-based study
title_short Patterns of care and prognostic evaluation for stage I–III upper esophageal squamous cell carcinoma: a population-based study
title_sort patterns of care and prognostic evaluation for stage i–iii upper esophageal squamous cell carcinoma: a population-based study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9761128/
https://www.ncbi.nlm.nih.gov/pubmed/36544690
http://dx.doi.org/10.21037/atm-22-4577
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