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Survival of 7,311 lung cancer patients by pathological stage and histological classification: a multicenter hospital-based study in China

BACKGROUND: Representative prognostic data by clinical characteristics for lung cancer is not yet available in China. This study aimed to calculate the survival of lung cancer patients with different pathological evaluations, explore their predictive effects and provide information for prognosis imp...

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Autores principales: He, Siyi, Li, He, Cao, Maomao, Sun, Dianqin, Yang, Fan, Yan, Xinxin, Zhang, Shaoli, He, Yutong, Du, Lingbin, Sun, Xibin, Wang, Ning, Zhang, Min, Wei, Kuangrong, Lei, Lin, Xia, Changfa, Peng, Ji, Chen, Wanqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459622/
https://www.ncbi.nlm.nih.gov/pubmed/36090636
http://dx.doi.org/10.21037/tlcr-22-240
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author He, Siyi
Li, He
Cao, Maomao
Sun, Dianqin
Yang, Fan
Yan, Xinxin
Zhang, Shaoli
He, Yutong
Du, Lingbin
Sun, Xibin
Wang, Ning
Zhang, Min
Wei, Kuangrong
Lei, Lin
Xia, Changfa
Peng, Ji
Chen, Wanqing
author_facet He, Siyi
Li, He
Cao, Maomao
Sun, Dianqin
Yang, Fan
Yan, Xinxin
Zhang, Shaoli
He, Yutong
Du, Lingbin
Sun, Xibin
Wang, Ning
Zhang, Min
Wei, Kuangrong
Lei, Lin
Xia, Changfa
Peng, Ji
Chen, Wanqing
author_sort He, Siyi
collection PubMed
description BACKGROUND: Representative prognostic data by clinical characteristics for lung cancer is not yet available in China. This study aimed to calculate the survival of lung cancer patients with different pathological evaluations, explore their predictive effects and provide information for prognosis improvement. METHODS: In this multicenter cohort study, primary lung cancer patients diagnosed in 17 hospitals at three distinct levels in China between 2011–2013 were enrolled and followed up till 2020. Overall survival and lung cancer specific survival were calculated by Kaplan-Meier method. Cox proportional hazards model was applied to assess the effects of predictors of lung cancer survival. RESULTS: Of all the 7,311 patients, the 5-year overall and lung cancer specific survival rates were 37.0% and 41.6%, respectively. For lung cancer patients at stages I, II, III, and IV, the 5-year overall survival rates were 76.9%, 56.1%, 32.6%, and 21.4%, respectively; the lung cancer specific survival rates were 82.3%, 59.7%, 37.2%, and 26.4%, respectively. Differences of survival for each stage remained significant between histological classifications (P<0.01). The 5-year overall survival rates for patients with squamous cell carcinoma, adenocarcinoma (AC), and small cell carcinoma were 36.9%, 43.3% and 27.9%, respectively; the corresponding disease-specific rates were 41.5%, 48.6% and 31.0%, respectively. Such differences were non-statistically significant at advanced stages (P=0.09). After multivariate adjustments, stage and classification remained independent predictors for the survival of lung cancer. CONCLUSIONS: The prognosis of lung cancer varied with the pathological stages and histological classifications, and had room for improvement. Stage was the strongest predictor, so efforts on early detection and treatment are needed.
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spelling pubmed-94596222022-09-10 Survival of 7,311 lung cancer patients by pathological stage and histological classification: a multicenter hospital-based study in China He, Siyi Li, He Cao, Maomao Sun, Dianqin Yang, Fan Yan, Xinxin Zhang, Shaoli He, Yutong Du, Lingbin Sun, Xibin Wang, Ning Zhang, Min Wei, Kuangrong Lei, Lin Xia, Changfa Peng, Ji Chen, Wanqing Transl Lung Cancer Res Original Article BACKGROUND: Representative prognostic data by clinical characteristics for lung cancer is not yet available in China. This study aimed to calculate the survival of lung cancer patients with different pathological evaluations, explore their predictive effects and provide information for prognosis improvement. METHODS: In this multicenter cohort study, primary lung cancer patients diagnosed in 17 hospitals at three distinct levels in China between 2011–2013 were enrolled and followed up till 2020. Overall survival and lung cancer specific survival were calculated by Kaplan-Meier method. Cox proportional hazards model was applied to assess the effects of predictors of lung cancer survival. RESULTS: Of all the 7,311 patients, the 5-year overall and lung cancer specific survival rates were 37.0% and 41.6%, respectively. For lung cancer patients at stages I, II, III, and IV, the 5-year overall survival rates were 76.9%, 56.1%, 32.6%, and 21.4%, respectively; the lung cancer specific survival rates were 82.3%, 59.7%, 37.2%, and 26.4%, respectively. Differences of survival for each stage remained significant between histological classifications (P<0.01). The 5-year overall survival rates for patients with squamous cell carcinoma, adenocarcinoma (AC), and small cell carcinoma were 36.9%, 43.3% and 27.9%, respectively; the corresponding disease-specific rates were 41.5%, 48.6% and 31.0%, respectively. Such differences were non-statistically significant at advanced stages (P=0.09). After multivariate adjustments, stage and classification remained independent predictors for the survival of lung cancer. CONCLUSIONS: The prognosis of lung cancer varied with the pathological stages and histological classifications, and had room for improvement. Stage was the strongest predictor, so efforts on early detection and treatment are needed. AME Publishing Company 2022-08 /pmc/articles/PMC9459622/ /pubmed/36090636 http://dx.doi.org/10.21037/tlcr-22-240 Text en 2022 Translational Lung 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 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
He, Siyi
Li, He
Cao, Maomao
Sun, Dianqin
Yang, Fan
Yan, Xinxin
Zhang, Shaoli
He, Yutong
Du, Lingbin
Sun, Xibin
Wang, Ning
Zhang, Min
Wei, Kuangrong
Lei, Lin
Xia, Changfa
Peng, Ji
Chen, Wanqing
Survival of 7,311 lung cancer patients by pathological stage and histological classification: a multicenter hospital-based study in China
title Survival of 7,311 lung cancer patients by pathological stage and histological classification: a multicenter hospital-based study in China
title_full Survival of 7,311 lung cancer patients by pathological stage and histological classification: a multicenter hospital-based study in China
title_fullStr Survival of 7,311 lung cancer patients by pathological stage and histological classification: a multicenter hospital-based study in China
title_full_unstemmed Survival of 7,311 lung cancer patients by pathological stage and histological classification: a multicenter hospital-based study in China
title_short Survival of 7,311 lung cancer patients by pathological stage and histological classification: a multicenter hospital-based study in China
title_sort survival of 7,311 lung cancer patients by pathological stage and histological classification: a multicenter hospital-based study in china
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9459622/
https://www.ncbi.nlm.nih.gov/pubmed/36090636
http://dx.doi.org/10.21037/tlcr-22-240
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