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Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study

BACKGROUND: This study is to determine the risk factors for metastasis of Ewing sarcoma (ES) patients in SEER database. Then explore clinicopathological factors associated with poor prognosis. Furthermore, develop the nomogram to predict the probability of overall survival and cancer-specific surviv...

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Autores principales: Shi, Jiaqi, Yang, Jianing, Ma, Xin, Wang, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055127/
https://www.ncbi.nlm.nih.gov/pubmed/32131863
http://dx.doi.org/10.1186/s13018-020-01607-8
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author Shi, Jiaqi
Yang, Jianing
Ma, Xin
Wang, Xu
author_facet Shi, Jiaqi
Yang, Jianing
Ma, Xin
Wang, Xu
author_sort Shi, Jiaqi
collection PubMed
description BACKGROUND: This study is to determine the risk factors for metastasis of Ewing sarcoma (ES) patients in SEER database. Then explore clinicopathological factors associated with poor prognosis. Furthermore, develop the nomogram to predict the probability of overall survival and cancer-specific survival METHODS: Thus, we collected clinicopathological data of ES patients in SEER database, and then used chi-square test and logistic regression to determine risk factors associated to metastasis. We also did survival analysis including Kaplan-Meier curve and Cox proportional hazard model to explore the risk factors associated to overall survival and cancer-specific survival, and then developed the nomogram to visualize and quantify the probability of survival. RESULTS: After statistics, we find that patients with older ages (11–20 years old: OR = 1.517, 95% confidence interval [CI] 1.033–2.228, p = 0.034; 21–30 years old: OR = 1.659. 95%CI 1.054–2.610, p = 0.029), larger tumor size (> 8 cm: OR = 1.914, 95%CI 1.251–2.928, p = 0.003), and pelvic lesions (OR = 2.492, 95%CI 1.829–3.395, p < 0.001) had a higher risk of metastasis. ROC curves showed higher AUC (0.65) of combined model which incorporate these three factors to predict the presence of metastasis at diagnosis. In survival analysis, patients with older ages (11–20 years: HR = 1.549, 95%CI 1.144–2.099, p = 0.005; 21–30 years: HR = 1.808, 95%CI 1.278–2.556, p = 0.001; 31–49 years: HR = 3.481, 95%CI 2.379–5.094, p < 0.001; ≥ 50 years: HR = 4.307, 95%CI 2.648–7.006, p < 0.001) , larger tumor size (5–8 cm: HR = 1.386, 95%CI 1.005–1.991, p = 0.046; > 8 cm: HR = 1.877, 95%CI 1.376–2.561, p < 0.001), black race (HR = 2.104, 95%CI 1.296–3.416, p = 0.003), and wider extension (regional: HR = 1.373, 95%CI 1.033–1.823, p = 0.029; metastatic: HR = 3.259, 95%CI 2.425–4.379, p < 0.001) were associated with worse prognosis. Chemotherapy was associated with better prognosis (HR = 0.466, 95%CI 0.290–0.685, p < 0.001). The nomogram which developed by training set and aimed to predict OS and CSS showed good consistency with actual observed outcomes internally and externally. CONCLUSION: In conclusion, tumor size and primary site were associated with distant metastasis at diagnosis. Age, tumor size, primary site, tumor extent, and chemotherapy were associated with overall survival and cancer-specific survival. Nomogram could predict the probability of OS and CSS and showed good consistency with actual observed outcomes internally and externally.
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spelling pubmed-70551272020-03-10 Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study Shi, Jiaqi Yang, Jianing Ma, Xin Wang, Xu J Orthop Surg Res Research Article BACKGROUND: This study is to determine the risk factors for metastasis of Ewing sarcoma (ES) patients in SEER database. Then explore clinicopathological factors associated with poor prognosis. Furthermore, develop the nomogram to predict the probability of overall survival and cancer-specific survival METHODS: Thus, we collected clinicopathological data of ES patients in SEER database, and then used chi-square test and logistic regression to determine risk factors associated to metastasis. We also did survival analysis including Kaplan-Meier curve and Cox proportional hazard model to explore the risk factors associated to overall survival and cancer-specific survival, and then developed the nomogram to visualize and quantify the probability of survival. RESULTS: After statistics, we find that patients with older ages (11–20 years old: OR = 1.517, 95% confidence interval [CI] 1.033–2.228, p = 0.034; 21–30 years old: OR = 1.659. 95%CI 1.054–2.610, p = 0.029), larger tumor size (> 8 cm: OR = 1.914, 95%CI 1.251–2.928, p = 0.003), and pelvic lesions (OR = 2.492, 95%CI 1.829–3.395, p < 0.001) had a higher risk of metastasis. ROC curves showed higher AUC (0.65) of combined model which incorporate these three factors to predict the presence of metastasis at diagnosis. In survival analysis, patients with older ages (11–20 years: HR = 1.549, 95%CI 1.144–2.099, p = 0.005; 21–30 years: HR = 1.808, 95%CI 1.278–2.556, p = 0.001; 31–49 years: HR = 3.481, 95%CI 2.379–5.094, p < 0.001; ≥ 50 years: HR = 4.307, 95%CI 2.648–7.006, p < 0.001) , larger tumor size (5–8 cm: HR = 1.386, 95%CI 1.005–1.991, p = 0.046; > 8 cm: HR = 1.877, 95%CI 1.376–2.561, p < 0.001), black race (HR = 2.104, 95%CI 1.296–3.416, p = 0.003), and wider extension (regional: HR = 1.373, 95%CI 1.033–1.823, p = 0.029; metastatic: HR = 3.259, 95%CI 2.425–4.379, p < 0.001) were associated with worse prognosis. Chemotherapy was associated with better prognosis (HR = 0.466, 95%CI 0.290–0.685, p < 0.001). The nomogram which developed by training set and aimed to predict OS and CSS showed good consistency with actual observed outcomes internally and externally. CONCLUSION: In conclusion, tumor size and primary site were associated with distant metastasis at diagnosis. Age, tumor size, primary site, tumor extent, and chemotherapy were associated with overall survival and cancer-specific survival. Nomogram could predict the probability of OS and CSS and showed good consistency with actual observed outcomes internally and externally. BioMed Central 2020-03-04 /pmc/articles/PMC7055127/ /pubmed/32131863 http://dx.doi.org/10.1186/s13018-020-01607-8 Text en © The Author(s) 2020 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. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Shi, Jiaqi
Yang, Jianing
Ma, Xin
Wang, Xu
Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study
title Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study
title_full Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study
title_fullStr Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study
title_full_unstemmed Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study
title_short Risk factors for metastasis and poor prognosis of Ewing sarcoma: a population based study
title_sort risk factors for metastasis and poor prognosis of ewing sarcoma: a population based study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7055127/
https://www.ncbi.nlm.nih.gov/pubmed/32131863
http://dx.doi.org/10.1186/s13018-020-01607-8
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