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The clinical prognostic factors of patients with stage IB lung adenocarcinoma

BACKGROUND: Lung adenocarcinoma (ADC) at stage IB has its own prognostic characteristics. This study aimed to investigate the clinical factors that may affect the prognosis of patients with stage IB ADC. METHODS: The data of ADC cases were selected from the Surveillance, Epidemiology, and End Result...

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Autores principales: Sui, Qihai, Liang, Jiaqi, Hu, Zhengyang, Xu, Xinming, Chen, Zhencong, Huang, Yiwei, Zhao, Mengnan, Zhan, Cheng, Wang, Lin, Lin, Zongwu, Wang, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799094/
https://www.ncbi.nlm.nih.gov/pubmed/35116327
http://dx.doi.org/10.21037/tcr-21-1174
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author Sui, Qihai
Liang, Jiaqi
Hu, Zhengyang
Xu, Xinming
Chen, Zhencong
Huang, Yiwei
Zhao, Mengnan
Zhan, Cheng
Wang, Lin
Lin, Zongwu
Wang, Qun
author_facet Sui, Qihai
Liang, Jiaqi
Hu, Zhengyang
Xu, Xinming
Chen, Zhencong
Huang, Yiwei
Zhao, Mengnan
Zhan, Cheng
Wang, Lin
Lin, Zongwu
Wang, Qun
author_sort Sui, Qihai
collection PubMed
description BACKGROUND: Lung adenocarcinoma (ADC) at stage IB has its own prognostic characteristics. This study aimed to investigate the clinical factors that may affect the prognosis of patients with stage IB ADC. METHODS: The data of ADC cases were selected from the Surveillance, Epidemiology, and End Results (SEER) database (2010–2016) and patients in Zhongshan Hospital, Fudan University (Department of Thoracic Surgery, 2015–2016). Kaplan-Meier method was used to obtain the overall survival (OS). Factors that significantly related to the prognosis were evaluated by univariate and multivariate analysis (UVA, MVA) using the Cox model. A nomogram was developed and validated to predict the 3-year OSs of those patients. RESULTS: 7,605 patients with stage IB ADC were included ultimately and were divided into two groups, a training cohort (n=5,324) and a test cohort (n=2,281). Besides, there was a validation cohort (n=272) for the verification of the nomogram model. Those with significantly older age, male, the white race, lower grades of tumor differentiation, larger tumor size (31–40 mm) without pleural layer (PL) invasion as well as receiving sublobectomy suffered from poorer survival (P<0.001), which were identified as independent factors for stage IB ADC (P<0.001), and according to which, a nomogram model was created. CONCLUSIONS: Age, sex, race, histological grade, surgery to the primary site, and tumor size combined with PL invasion were independent risk factors for stage IB ADC, based on which a nomogram was constructed to predict the prognosis.
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spelling pubmed-87990942022-02-02 The clinical prognostic factors of patients with stage IB lung adenocarcinoma Sui, Qihai Liang, Jiaqi Hu, Zhengyang Xu, Xinming Chen, Zhencong Huang, Yiwei Zhao, Mengnan Zhan, Cheng Wang, Lin Lin, Zongwu Wang, Qun Transl Cancer Res Original Article BACKGROUND: Lung adenocarcinoma (ADC) at stage IB has its own prognostic characteristics. This study aimed to investigate the clinical factors that may affect the prognosis of patients with stage IB ADC. METHODS: The data of ADC cases were selected from the Surveillance, Epidemiology, and End Results (SEER) database (2010–2016) and patients in Zhongshan Hospital, Fudan University (Department of Thoracic Surgery, 2015–2016). Kaplan-Meier method was used to obtain the overall survival (OS). Factors that significantly related to the prognosis were evaluated by univariate and multivariate analysis (UVA, MVA) using the Cox model. A nomogram was developed and validated to predict the 3-year OSs of those patients. RESULTS: 7,605 patients with stage IB ADC were included ultimately and were divided into two groups, a training cohort (n=5,324) and a test cohort (n=2,281). Besides, there was a validation cohort (n=272) for the verification of the nomogram model. Those with significantly older age, male, the white race, lower grades of tumor differentiation, larger tumor size (31–40 mm) without pleural layer (PL) invasion as well as receiving sublobectomy suffered from poorer survival (P<0.001), which were identified as independent factors for stage IB ADC (P<0.001), and according to which, a nomogram model was created. CONCLUSIONS: Age, sex, race, histological grade, surgery to the primary site, and tumor size combined with PL invasion were independent risk factors for stage IB ADC, based on which a nomogram was constructed to predict the prognosis. AME Publishing Company 2021-11 /pmc/articles/PMC8799094/ /pubmed/35116327 http://dx.doi.org/10.21037/tcr-21-1174 Text en 2021 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
Sui, Qihai
Liang, Jiaqi
Hu, Zhengyang
Xu, Xinming
Chen, Zhencong
Huang, Yiwei
Zhao, Mengnan
Zhan, Cheng
Wang, Lin
Lin, Zongwu
Wang, Qun
The clinical prognostic factors of patients with stage IB lung adenocarcinoma
title The clinical prognostic factors of patients with stage IB lung adenocarcinoma
title_full The clinical prognostic factors of patients with stage IB lung adenocarcinoma
title_fullStr The clinical prognostic factors of patients with stage IB lung adenocarcinoma
title_full_unstemmed The clinical prognostic factors of patients with stage IB lung adenocarcinoma
title_short The clinical prognostic factors of patients with stage IB lung adenocarcinoma
title_sort clinical prognostic factors of patients with stage ib lung adenocarcinoma
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799094/
https://www.ncbi.nlm.nih.gov/pubmed/35116327
http://dx.doi.org/10.21037/tcr-21-1174
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