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A nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study

BACKGROUND: Adenosquamous carcinoma (ASC) of the lung is an infrequent variant of lung cancer. This study aimed to identify independent risk factors and to develop a predictive model for the prognosis of ASC patients. METHODS: Patient data were extracted from the Surveillance, Epidemiology, and End...

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Autores principales: Liang, Jiaqi, Sui, Qihai, Zheng, Yuansheng, Bi, Guoshu, Chen, Zhencong, Li, Ming, Huang, Yiwei, Lu, Tao, Zhan, Cheng, Guo, Weigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330383/
https://www.ncbi.nlm.nih.gov/pubmed/32642134
http://dx.doi.org/10.21037/jtd.2020.03.115
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author Liang, Jiaqi
Sui, Qihai
Zheng, Yuansheng
Bi, Guoshu
Chen, Zhencong
Li, Ming
Huang, Yiwei
Lu, Tao
Zhan, Cheng
Guo, Weigang
author_facet Liang, Jiaqi
Sui, Qihai
Zheng, Yuansheng
Bi, Guoshu
Chen, Zhencong
Li, Ming
Huang, Yiwei
Lu, Tao
Zhan, Cheng
Guo, Weigang
author_sort Liang, Jiaqi
collection PubMed
description BACKGROUND: Adenosquamous carcinoma (ASC) of the lung is an infrequent variant of lung cancer. This study aimed to identify independent risk factors and to develop a predictive model for the prognosis of ASC patients. METHODS: Patient data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database (2004 to 2016) and database in our department (2010 to 2014). Overall survival (OS) was evaluated by the Kaplan-Meier method. Significant prognostic factors were identified by univariate analysis (UVA) and multivariate analysis (MVA) using the Cox proportional hazards regression. Competing risk model analyses were performed using cancer-specific survival outcomes. A nomogram was developed to predict patient 3-year and 5-year OS and was validated using data from the two databases. RESULTS: A total of 4,600 patients with ASC were included and divided into a training cohort (n=3,202) and two validation cohorts (n=1,372, n=26). Patients with ASC had significantly older age, lower grades of tumor differentiation or incidences of nodal, and distant invasions than adenocarcinoma and squamous cell carcinoma (SCC) of the lung (P<0.001), while the median survival time of ASC patients was intermediate [21.0 (19.3–22.7) months]. Age, sex, primary site of tumor, histological grade, T stage, N stage, M stage of the tumor, as well as surgery to the primary tumor site and chemotherapy were identified as independent factors for ASC (P<0.001). A reliable nomogram was established with a group of validation plots and concordance indices (C-indices) (internal: 0.755±0.010; external: 0.748±0.049 and 0.721±0.045). CONCLUSIONS: Age, sex, primary site of tumor, histological grade, T stage, N stage, M stage of the tumor, as well as surgery to the primary site of tumors and chemotherapy were independent risk factors for ASC patients. A validated nomogram was constructed to predict the prognosis based on the patient clinical characteristics.
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spelling pubmed-73303832020-07-07 A nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study Liang, Jiaqi Sui, Qihai Zheng, Yuansheng Bi, Guoshu Chen, Zhencong Li, Ming Huang, Yiwei Lu, Tao Zhan, Cheng Guo, Weigang J Thorac Dis Original Article BACKGROUND: Adenosquamous carcinoma (ASC) of the lung is an infrequent variant of lung cancer. This study aimed to identify independent risk factors and to develop a predictive model for the prognosis of ASC patients. METHODS: Patient data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database (2004 to 2016) and database in our department (2010 to 2014). Overall survival (OS) was evaluated by the Kaplan-Meier method. Significant prognostic factors were identified by univariate analysis (UVA) and multivariate analysis (MVA) using the Cox proportional hazards regression. Competing risk model analyses were performed using cancer-specific survival outcomes. A nomogram was developed to predict patient 3-year and 5-year OS and was validated using data from the two databases. RESULTS: A total of 4,600 patients with ASC were included and divided into a training cohort (n=3,202) and two validation cohorts (n=1,372, n=26). Patients with ASC had significantly older age, lower grades of tumor differentiation or incidences of nodal, and distant invasions than adenocarcinoma and squamous cell carcinoma (SCC) of the lung (P<0.001), while the median survival time of ASC patients was intermediate [21.0 (19.3–22.7) months]. Age, sex, primary site of tumor, histological grade, T stage, N stage, M stage of the tumor, as well as surgery to the primary tumor site and chemotherapy were identified as independent factors for ASC (P<0.001). A reliable nomogram was established with a group of validation plots and concordance indices (C-indices) (internal: 0.755±0.010; external: 0.748±0.049 and 0.721±0.045). CONCLUSIONS: Age, sex, primary site of tumor, histological grade, T stage, N stage, M stage of the tumor, as well as surgery to the primary site of tumors and chemotherapy were independent risk factors for ASC patients. A validated nomogram was constructed to predict the prognosis based on the patient clinical characteristics. AME Publishing Company 2020-05 /pmc/articles/PMC7330383/ /pubmed/32642134 http://dx.doi.org/10.21037/jtd.2020.03.115 Text en 2020 Journal of Thoracic Disease. 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
Liang, Jiaqi
Sui, Qihai
Zheng, Yuansheng
Bi, Guoshu
Chen, Zhencong
Li, Ming
Huang, Yiwei
Lu, Tao
Zhan, Cheng
Guo, Weigang
A nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study
title A nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study
title_full A nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study
title_fullStr A nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study
title_full_unstemmed A nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study
title_short A nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study
title_sort nomogram to predict prognosis of patients with lung adenosquamous carcinoma: a population-based study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330383/
https://www.ncbi.nlm.nih.gov/pubmed/32642134
http://dx.doi.org/10.21037/jtd.2020.03.115
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