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Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER database

BACKGROUND: Laryngeal sarcoma is an extremely rare malignant tumor of larynx and usually reported as case reports or small series. At present, there is no research based on big data about the prognostic factors affecting laryngeal sarcoma. Our study aimed to investigate the prognostic survival facto...

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Autores principales: Gu, Jia, Zuo, Zhifan, Sun, Lei, Li, Li, Zhao, Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214913/
https://www.ncbi.nlm.nih.gov/pubmed/32411768
http://dx.doi.org/10.21037/atm-20-2970
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author Gu, Jia
Zuo, Zhifan
Sun, Lei
Li, Li
Zhao, Ning
author_facet Gu, Jia
Zuo, Zhifan
Sun, Lei
Li, Li
Zhao, Ning
author_sort Gu, Jia
collection PubMed
description BACKGROUND: Laryngeal sarcoma is an extremely rare malignant tumor of larynx and usually reported as case reports or small series. At present, there is no research based on big data about the prognostic factors affecting laryngeal sarcoma. Our study aimed to investigate the prognostic survival factors of laryngeal sarcoma and develop a comprehensive nomogram for predicting the survival of laryngeal sarcoma. METHODS: Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database to find patients diagnosed with laryngeal sarcoma from 1998 to 2016. The data were obtained using SEER Stat 8.3.5 software, collated, and analyzed by Excel 2016 software and SPSS (v25.0). Kaplan-Meier curves were used for survival analysis. The variables obtained by univariate analysis were introduced into the Cox proportional hazard model for multivariate analysis. The risk factors affecting the prognosis of laryngeal sarcoma were obtained (P<0.05 indicated statistical significance). The independent prognostic factors of laryngeal sarcoma were integrated and used to construct a nomogram. RESULTS: A total of 381 patients with laryngeal sarcoma were included. The median age of diagnosis was 67 years. The proportion of patients who had received surgical treatment was 62.73%, while 22.31% of patients had received no surgery. The 1-, 3-, 5-, and 10-year survival rates were 87%, 76%, 61%, and 45%, respectively. The median survival time was 102.35 months. Univariate analysis showed that increased age, primary site, pathology, pathological grade, and surgical treatment were significantly correlated with patient survival time and were risk factors for the patients' prognosis. Race, gender, and even lymph node metastasis were not significantly correlated with patient prognosis. The risk factors obtained from the univariate analysis were incorporated into the Cox risk model for multivariate analysis, the independent risk factors for prognosis of patients were: age (HR 1.569, 95% CI: 1.358–1.813, P<0.005), pathology (HR 0.834, 95% CI: 0.734–0.948, P<0.005), pathological grade (HR 1.433, 95% CI: 1.164–1.764, P<0.001), surgical treatment (HR 0.778, 95% CI: 0.696–0.870, P<0.000), primary site was excluded (P=0.092). We included all the risk factors from the multi-factor analysis to construct a nomogram, and the C-index value was 0.73, indicating that it was well-calibrated in the medium and long term. CONCLUSIONS: Laryngeal sarcoma is a rare malignant tumor of the larynx, which most often affects people between the ages of 50 and 79 and males. Our study shows that age, pathology, pathological grade, surgical treatment may be the risk factors for patients’ prognosis. Based on this, we constructed a nomogram model with a prediction accuracy of 73% that could help clinicians make decisions on an individual basis.
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spelling pubmed-72149132020-05-14 Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER database Gu, Jia Zuo, Zhifan Sun, Lei Li, Li Zhao, Ning Ann Transl Med Original Article BACKGROUND: Laryngeal sarcoma is an extremely rare malignant tumor of larynx and usually reported as case reports or small series. At present, there is no research based on big data about the prognostic factors affecting laryngeal sarcoma. Our study aimed to investigate the prognostic survival factors of laryngeal sarcoma and develop a comprehensive nomogram for predicting the survival of laryngeal sarcoma. METHODS: Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) database to find patients diagnosed with laryngeal sarcoma from 1998 to 2016. The data were obtained using SEER Stat 8.3.5 software, collated, and analyzed by Excel 2016 software and SPSS (v25.0). Kaplan-Meier curves were used for survival analysis. The variables obtained by univariate analysis were introduced into the Cox proportional hazard model for multivariate analysis. The risk factors affecting the prognosis of laryngeal sarcoma were obtained (P<0.05 indicated statistical significance). The independent prognostic factors of laryngeal sarcoma were integrated and used to construct a nomogram. RESULTS: A total of 381 patients with laryngeal sarcoma were included. The median age of diagnosis was 67 years. The proportion of patients who had received surgical treatment was 62.73%, while 22.31% of patients had received no surgery. The 1-, 3-, 5-, and 10-year survival rates were 87%, 76%, 61%, and 45%, respectively. The median survival time was 102.35 months. Univariate analysis showed that increased age, primary site, pathology, pathological grade, and surgical treatment were significantly correlated with patient survival time and were risk factors for the patients' prognosis. Race, gender, and even lymph node metastasis were not significantly correlated with patient prognosis. The risk factors obtained from the univariate analysis were incorporated into the Cox risk model for multivariate analysis, the independent risk factors for prognosis of patients were: age (HR 1.569, 95% CI: 1.358–1.813, P<0.005), pathology (HR 0.834, 95% CI: 0.734–0.948, P<0.005), pathological grade (HR 1.433, 95% CI: 1.164–1.764, P<0.001), surgical treatment (HR 0.778, 95% CI: 0.696–0.870, P<0.000), primary site was excluded (P=0.092). We included all the risk factors from the multi-factor analysis to construct a nomogram, and the C-index value was 0.73, indicating that it was well-calibrated in the medium and long term. CONCLUSIONS: Laryngeal sarcoma is a rare malignant tumor of the larynx, which most often affects people between the ages of 50 and 79 and males. Our study shows that age, pathology, pathological grade, surgical treatment may be the risk factors for patients’ prognosis. Based on this, we constructed a nomogram model with a prediction accuracy of 73% that could help clinicians make decisions on an individual basis. AME Publishing Company 2020-04 /pmc/articles/PMC7214913/ /pubmed/32411768 http://dx.doi.org/10.21037/atm-20-2970 Text en 2020 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
Gu, Jia
Zuo, Zhifan
Sun, Lei
Li, Li
Zhao, Ning
Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER database
title Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER database
title_full Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER database
title_fullStr Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER database
title_full_unstemmed Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER database
title_short Prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on SEER database
title_sort prognostic factors for laryngeal sarcoma and nomogram development for prediction: a retrospective study based on seer database
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7214913/
https://www.ncbi.nlm.nih.gov/pubmed/32411768
http://dx.doi.org/10.21037/atm-20-2970
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