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Clinicopathological characteristics and prognostic factors of pulmonary large cell neuroendocrine carcinoma: A large population‐based analysis

BACKGROUND: The study was conducted to compare the clinicopathological characteristics, survival outcomes, and metastatic patterns between pulmonary large cell neuroendocrine carcinoma (LCNEC) and other non‐small cell lung cancer (ONSCLC), and to identify the prognostic factors of LCNEC. METHODS: Da...

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Autores principales: Yang, Qiao, Xu, Zihan, Chen, Xiewan, Zheng, Linpeng, Yu, Yongxin, Zhao, Xianlan, Chen, Mingjing, Luo, Bangyu, Wang, Jianmin, Sun, Jianguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons Australia, Ltd 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449250/
https://www.ncbi.nlm.nih.gov/pubmed/30734490
http://dx.doi.org/10.1111/1759-7714.12993
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author Yang, Qiao
Xu, Zihan
Chen, Xiewan
Zheng, Linpeng
Yu, Yongxin
Zhao, Xianlan
Chen, Mingjing
Luo, Bangyu
Wang, Jianmin
Sun, Jianguo
author_facet Yang, Qiao
Xu, Zihan
Chen, Xiewan
Zheng, Linpeng
Yu, Yongxin
Zhao, Xianlan
Chen, Mingjing
Luo, Bangyu
Wang, Jianmin
Sun, Jianguo
author_sort Yang, Qiao
collection PubMed
description BACKGROUND: The study was conducted to compare the clinicopathological characteristics, survival outcomes, and metastatic patterns between pulmonary large cell neuroendocrine carcinoma (LCNEC) and other non‐small cell lung cancer (ONSCLC), and to identify the prognostic factors of LCNEC. METHODS: Data of patients diagnosed with LCNEC and ONSCLC from 2004 to 2014 were obtained from the Surveillance, Epidemiology, and End Results dataset. Pearson’s chi‐square tests were used to compare differences in clinicopathological characteristics. The Kaplan–Meier method was used for survival analysis. A propensity score was used for matching and a Cox proportional hazards model was used for multivariate and subgroup analyses. RESULTS: A total of 2368 LCNEC cases and 231 672 ONSCLC cases were identified. LCNEC incidence increased slightly over time. Except for marital status, LCNEC patients had obviously different biological features to ONSCLC patients. Survival analysis showed that LCNEC had poorer outcomes than ONSCLC. Multivariate analysis revealed that female gender, black race, surgery, radiation, and chemotherapy were protective factors for LCNEC. Matched subgroup analysis further demonstrated that most subgroup factors favored ONSCLC, especially in early stage. Early‐stage LCNEC patients had a higher risk of lung cancer‐specific death than early‐stage ONSCLC patients. Moreover, metastatic patterns were different between LCNEC and ONSCLC. LCNEC patients with isolated liver metastasis or combined invasion to other organs had poorer survival rates. CONCLUSIONS: LCNEC has totally different clinicopathological characteristics and metastatic patterns to ONSCLC. LCNEC also has poorer survival outcomes, primarily because of isolated liver metastasis or combined invasion to other organs. Most subgroup factors are adverse factors for LCNEC.
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spelling pubmed-64492502019-04-15 Clinicopathological characteristics and prognostic factors of pulmonary large cell neuroendocrine carcinoma: A large population‐based analysis Yang, Qiao Xu, Zihan Chen, Xiewan Zheng, Linpeng Yu, Yongxin Zhao, Xianlan Chen, Mingjing Luo, Bangyu Wang, Jianmin Sun, Jianguo Thorac Cancer Original Articles BACKGROUND: The study was conducted to compare the clinicopathological characteristics, survival outcomes, and metastatic patterns between pulmonary large cell neuroendocrine carcinoma (LCNEC) and other non‐small cell lung cancer (ONSCLC), and to identify the prognostic factors of LCNEC. METHODS: Data of patients diagnosed with LCNEC and ONSCLC from 2004 to 2014 were obtained from the Surveillance, Epidemiology, and End Results dataset. Pearson’s chi‐square tests were used to compare differences in clinicopathological characteristics. The Kaplan–Meier method was used for survival analysis. A propensity score was used for matching and a Cox proportional hazards model was used for multivariate and subgroup analyses. RESULTS: A total of 2368 LCNEC cases and 231 672 ONSCLC cases were identified. LCNEC incidence increased slightly over time. Except for marital status, LCNEC patients had obviously different biological features to ONSCLC patients. Survival analysis showed that LCNEC had poorer outcomes than ONSCLC. Multivariate analysis revealed that female gender, black race, surgery, radiation, and chemotherapy were protective factors for LCNEC. Matched subgroup analysis further demonstrated that most subgroup factors favored ONSCLC, especially in early stage. Early‐stage LCNEC patients had a higher risk of lung cancer‐specific death than early‐stage ONSCLC patients. Moreover, metastatic patterns were different between LCNEC and ONSCLC. LCNEC patients with isolated liver metastasis or combined invasion to other organs had poorer survival rates. CONCLUSIONS: LCNEC has totally different clinicopathological characteristics and metastatic patterns to ONSCLC. LCNEC also has poorer survival outcomes, primarily because of isolated liver metastasis or combined invasion to other organs. Most subgroup factors are adverse factors for LCNEC. John Wiley & Sons Australia, Ltd 2019-02-07 2019-04 /pmc/articles/PMC6449250/ /pubmed/30734490 http://dx.doi.org/10.1111/1759-7714.12993 Text en © 2019 The Authors. Thoracic Cancer published by China Lung Oncology Group and John Wiley & Sons Australia, Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Articles
Yang, Qiao
Xu, Zihan
Chen, Xiewan
Zheng, Linpeng
Yu, Yongxin
Zhao, Xianlan
Chen, Mingjing
Luo, Bangyu
Wang, Jianmin
Sun, Jianguo
Clinicopathological characteristics and prognostic factors of pulmonary large cell neuroendocrine carcinoma: A large population‐based analysis
title Clinicopathological characteristics and prognostic factors of pulmonary large cell neuroendocrine carcinoma: A large population‐based analysis
title_full Clinicopathological characteristics and prognostic factors of pulmonary large cell neuroendocrine carcinoma: A large population‐based analysis
title_fullStr Clinicopathological characteristics and prognostic factors of pulmonary large cell neuroendocrine carcinoma: A large population‐based analysis
title_full_unstemmed Clinicopathological characteristics and prognostic factors of pulmonary large cell neuroendocrine carcinoma: A large population‐based analysis
title_short Clinicopathological characteristics and prognostic factors of pulmonary large cell neuroendocrine carcinoma: A large population‐based analysis
title_sort clinicopathological characteristics and prognostic factors of pulmonary large cell neuroendocrine carcinoma: a large population‐based analysis
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449250/
https://www.ncbi.nlm.nih.gov/pubmed/30734490
http://dx.doi.org/10.1111/1759-7714.12993
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