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Improvement of pathological staging system for neuroendocrine tumors of the lung
BACKGROUND: Currently, the tumor, node, and metastasis (TNM) staging system has a limited value in prognostic stratification for neuroendocrine tumors of the lung (NETL). A specific pathological staging system was therefore explored. METHODS: Two cohorts were assessed: the training cohort was compos...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039668/ https://www.ncbi.nlm.nih.gov/pubmed/33850844 http://dx.doi.org/10.21037/atm-20-5910 |
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author | Yi, Chengxiang Dai, Jie Song, Nan Wu, Chunxiao Zhang, Liping Zhu, Yuming Jiang, Gening Zhang, Helin Zhang, Peng |
author_facet | Yi, Chengxiang Dai, Jie Song, Nan Wu, Chunxiao Zhang, Liping Zhu, Yuming Jiang, Gening Zhang, Helin Zhang, Peng |
author_sort | Yi, Chengxiang |
collection | PubMed |
description | BACKGROUND: Currently, the tumor, node, and metastasis (TNM) staging system has a limited value in prognostic stratification for neuroendocrine tumors of the lung (NETL). A specific pathological staging system was therefore explored. METHODS: Two cohorts were assessed: the training cohort was composed of surgically treated patients from the Surveillance, Epidemiologic, and End Results (SEER) database [2004–2015]; the Shanghai cohort included Shanghai resident patients treated at Shanghai Pulmonary Hospital [2009–2018]. Multivariable Cox regression analysis was performed to identify factors associated with overall survival. A new staging system was proposed based on survival tree, and was further compared with the 8(th) edition of the TNM staging system. RESULTS: In the training set (n=3,204), multivariate Cox analysis showed that tumor histotype and nodal status were independently associated with survival, but not T stage. Therefore, by incorporating NETL histotype (G1, low-grade typical pulmonary carcinoids; G2, intermediate-grade atypical pulmonary carcinoids; G3, high-grade large-cell neuroendocrine carcinomas) and N stage, a new staging system was developed: IA, G1N0; IB, G1N1 or G2N0; II, G1N2, G2N1-2, or G3N0; III, G3N1-2. Five-year survival rates were 91.2%, 81.3%, 50.2% and 27.6% for the new stages IA to III in the validation set (n=3,204), respectively (P<0.001). Additionally, the new staging system had significantly better predictive ability than the TNM staging system, in both the SEER [C-index, 0.75 vs. 0.62; net reclassification improvement (NRI), 0.62; integrated discrimination improvement (IDI), 20%] and Shanghai (IDI, 8%) cohorts. Based on the new staging system, adjuvant chemotherapy conferred a significantly better survival in stage-III NETL cases (HR =0.34, 95% CI, 0.25–0.45). CONCLUSIONS: The new pathological staging system can better predict NETL prognosis than the 8(th) edition of the TNM staging system, with the potential to guide postoperative treatment. |
format | Online Article Text |
id | pubmed-8039668 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-80396682021-04-12 Improvement of pathological staging system for neuroendocrine tumors of the lung Yi, Chengxiang Dai, Jie Song, Nan Wu, Chunxiao Zhang, Liping Zhu, Yuming Jiang, Gening Zhang, Helin Zhang, Peng Ann Transl Med Original Article BACKGROUND: Currently, the tumor, node, and metastasis (TNM) staging system has a limited value in prognostic stratification for neuroendocrine tumors of the lung (NETL). A specific pathological staging system was therefore explored. METHODS: Two cohorts were assessed: the training cohort was composed of surgically treated patients from the Surveillance, Epidemiologic, and End Results (SEER) database [2004–2015]; the Shanghai cohort included Shanghai resident patients treated at Shanghai Pulmonary Hospital [2009–2018]. Multivariable Cox regression analysis was performed to identify factors associated with overall survival. A new staging system was proposed based on survival tree, and was further compared with the 8(th) edition of the TNM staging system. RESULTS: In the training set (n=3,204), multivariate Cox analysis showed that tumor histotype and nodal status were independently associated with survival, but not T stage. Therefore, by incorporating NETL histotype (G1, low-grade typical pulmonary carcinoids; G2, intermediate-grade atypical pulmonary carcinoids; G3, high-grade large-cell neuroendocrine carcinomas) and N stage, a new staging system was developed: IA, G1N0; IB, G1N1 or G2N0; II, G1N2, G2N1-2, or G3N0; III, G3N1-2. Five-year survival rates were 91.2%, 81.3%, 50.2% and 27.6% for the new stages IA to III in the validation set (n=3,204), respectively (P<0.001). Additionally, the new staging system had significantly better predictive ability than the TNM staging system, in both the SEER [C-index, 0.75 vs. 0.62; net reclassification improvement (NRI), 0.62; integrated discrimination improvement (IDI), 20%] and Shanghai (IDI, 8%) cohorts. Based on the new staging system, adjuvant chemotherapy conferred a significantly better survival in stage-III NETL cases (HR =0.34, 95% CI, 0.25–0.45). CONCLUSIONS: The new pathological staging system can better predict NETL prognosis than the 8(th) edition of the TNM staging system, with the potential to guide postoperative treatment. AME Publishing Company 2021-03 /pmc/articles/PMC8039668/ /pubmed/33850844 http://dx.doi.org/10.21037/atm-20-5910 Text en 2021 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 Yi, Chengxiang Dai, Jie Song, Nan Wu, Chunxiao Zhang, Liping Zhu, Yuming Jiang, Gening Zhang, Helin Zhang, Peng Improvement of pathological staging system for neuroendocrine tumors of the lung |
title | Improvement of pathological staging system for neuroendocrine tumors of the lung |
title_full | Improvement of pathological staging system for neuroendocrine tumors of the lung |
title_fullStr | Improvement of pathological staging system for neuroendocrine tumors of the lung |
title_full_unstemmed | Improvement of pathological staging system for neuroendocrine tumors of the lung |
title_short | Improvement of pathological staging system for neuroendocrine tumors of the lung |
title_sort | improvement of pathological staging system for neuroendocrine tumors of the lung |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8039668/ https://www.ncbi.nlm.nih.gov/pubmed/33850844 http://dx.doi.org/10.21037/atm-20-5910 |
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