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Survival benefit of radiotherapy in metastatic esophageal cancer: a population-based study

BACKGROUND: Population-based estimates of survival benefits of radiotherapy on metastatic esophageal cancer (EC) are lacking. The aim of this study was to analyze survival benefits of radiotherapy in patients with metastatic EC at the time of cancer diagnosis. METHODS: Patients with metastatic EC we...

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Autores principales: Li, Xiangpan, Zhang, Huibo, Jia, Xuemei, Xu, Liming, Liu, Huali, Chen, Liang, Song, Qibin, Hui, Zhouguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797641/
https://www.ncbi.nlm.nih.gov/pubmed/35116850
http://dx.doi.org/10.21037/tcr.2019.06.15
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author Li, Xiangpan
Zhang, Huibo
Jia, Xuemei
Xu, Liming
Liu, Huali
Chen, Liang
Song, Qibin
Hui, Zhouguang
author_facet Li, Xiangpan
Zhang, Huibo
Jia, Xuemei
Xu, Liming
Liu, Huali
Chen, Liang
Song, Qibin
Hui, Zhouguang
author_sort Li, Xiangpan
collection PubMed
description BACKGROUND: Population-based estimates of survival benefits of radiotherapy on metastatic esophageal cancer (EC) are lacking. The aim of this study was to analyze survival benefits of radiotherapy in patients with metastatic EC at the time of cancer diagnosis. METHODS: Patients with metastatic EC were selected from Surveillance, Epidemiology, and End Results databases. The covariates included radiotherapy status, age, sex, insurance, histological type, differentiation, metastatic sites (bone, brain, liver, lung), and chemotherapy. Propensity score matching model was used to reduce bias of patients’ selection. Median overall survival (OS) and cancer-specific survival (CSS) were compared and Cox regression analysis was performed. RESULTS: A total of 4,761 patients with metastatic EC met the selection criteria. It was found that radiotherapy significantly improved 2-year OS (P=0.020) and 2-year CSS (P=0.009) in matched patients. In the propensity score model (N=3,672), Cox regression analysis demonstrated that radiotherapy was an independent prognostic factor which associated with a longer OS (P<0.001) and esophageal cause-specific survival in matched patients (P<0.001). Additionally, age, sex, insurance status, differentiation, number of metastatic sites and chemotherapy were also found to be significantly associated with OS and CSS in matched patients. CONCLUSIONS: The population-based study demonstrated that patients with metastatic EC might benefit from radiotherapy. This data supports the proposal to change the current management for patients with metastatic EC.
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spelling pubmed-87976412022-02-02 Survival benefit of radiotherapy in metastatic esophageal cancer: a population-based study Li, Xiangpan Zhang, Huibo Jia, Xuemei Xu, Liming Liu, Huali Chen, Liang Song, Qibin Hui, Zhouguang Transl Cancer Res Original Article BACKGROUND: Population-based estimates of survival benefits of radiotherapy on metastatic esophageal cancer (EC) are lacking. The aim of this study was to analyze survival benefits of radiotherapy in patients with metastatic EC at the time of cancer diagnosis. METHODS: Patients with metastatic EC were selected from Surveillance, Epidemiology, and End Results databases. The covariates included radiotherapy status, age, sex, insurance, histological type, differentiation, metastatic sites (bone, brain, liver, lung), and chemotherapy. Propensity score matching model was used to reduce bias of patients’ selection. Median overall survival (OS) and cancer-specific survival (CSS) were compared and Cox regression analysis was performed. RESULTS: A total of 4,761 patients with metastatic EC met the selection criteria. It was found that radiotherapy significantly improved 2-year OS (P=0.020) and 2-year CSS (P=0.009) in matched patients. In the propensity score model (N=3,672), Cox regression analysis demonstrated that radiotherapy was an independent prognostic factor which associated with a longer OS (P<0.001) and esophageal cause-specific survival in matched patients (P<0.001). Additionally, age, sex, insurance status, differentiation, number of metastatic sites and chemotherapy were also found to be significantly associated with OS and CSS in matched patients. CONCLUSIONS: The population-based study demonstrated that patients with metastatic EC might benefit from radiotherapy. This data supports the proposal to change the current management for patients with metastatic EC. AME Publishing Company 2019-08 /pmc/articles/PMC8797641/ /pubmed/35116850 http://dx.doi.org/10.21037/tcr.2019.06.15 Text en 2019 Translational Cancer Research. 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/.
spellingShingle Original Article
Li, Xiangpan
Zhang, Huibo
Jia, Xuemei
Xu, Liming
Liu, Huali
Chen, Liang
Song, Qibin
Hui, Zhouguang
Survival benefit of radiotherapy in metastatic esophageal cancer: a population-based study
title Survival benefit of radiotherapy in metastatic esophageal cancer: a population-based study
title_full Survival benefit of radiotherapy in metastatic esophageal cancer: a population-based study
title_fullStr Survival benefit of radiotherapy in metastatic esophageal cancer: a population-based study
title_full_unstemmed Survival benefit of radiotherapy in metastatic esophageal cancer: a population-based study
title_short Survival benefit of radiotherapy in metastatic esophageal cancer: a population-based study
title_sort survival benefit of radiotherapy in metastatic esophageal cancer: a population-based study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8797641/
https://www.ncbi.nlm.nih.gov/pubmed/35116850
http://dx.doi.org/10.21037/tcr.2019.06.15
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