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Clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the SEER database

BACKGROUND: Combined small-cell lung cancer (CSCLC) refers to the simultaneous presence of small cell lung cancer (SCLC) and any subtype of the non-small cell lung cancer (NSCLC). This study aimed to explore the prognosis of CSCLC, NSCLC, and pure SCLC patients, and to develop a nomogram to estimate...

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Autores principales: Yang, Lan, Zhou, Yuwen, Wang, Gang, Liu, Dan, Chen, Bojiang, Pu, Dan, Correale, Pierpaolo, Rades, Dirk, Tomita, Yusuke, Inno, Alessandro, Santarpia, Mariacarmela, Li, Yalun, Li, Weimin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674603/
https://www.ncbi.nlm.nih.gov/pubmed/35004254
http://dx.doi.org/10.21037/tlcr-21-804
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author Yang, Lan
Zhou, Yuwen
Wang, Gang
Liu, Dan
Chen, Bojiang
Pu, Dan
Correale, Pierpaolo
Rades, Dirk
Tomita, Yusuke
Inno, Alessandro
Santarpia, Mariacarmela
Li, Yalun
Li, Weimin
author_facet Yang, Lan
Zhou, Yuwen
Wang, Gang
Liu, Dan
Chen, Bojiang
Pu, Dan
Correale, Pierpaolo
Rades, Dirk
Tomita, Yusuke
Inno, Alessandro
Santarpia, Mariacarmela
Li, Yalun
Li, Weimin
author_sort Yang, Lan
collection PubMed
description BACKGROUND: Combined small-cell lung cancer (CSCLC) refers to the simultaneous presence of small cell lung cancer (SCLC) and any subtype of the non-small cell lung cancer (NSCLC). This study aimed to explore the prognosis of CSCLC, NSCLC, and pure SCLC patients, and to develop a nomogram to estimate the overall survival (OS) for CSCLC patients. METHODS: Patients diagnosed with NSCLC, CSCLC, and pure SCLC between 2004 and 2015 were identified from the Surveillance Epidemiology and End Results (SEER) database. Survival analyses were performed by using the Kaplan Meier curves and Cox proportional hazards regression. All CSCLC patients were randomly split 7:3 into training and validation sets. A nomogram was developed by integrating all independent predictors for OS. The performance of the nomogram was determined by discrimination, calibration ability, clinical usefulness, and risk stratification ability. RESULTS: A total of 326,695 lung cancer patients, including 871 with CSCLC, 280,391 with NSCLC, and 45,433 with pure SCLC were enrolled. CSCLC was associated with worse survival compared with NSCLC both in the unmatched and matched cohorts. However, compared to pure SCLC, CSCLC was associated with significantly better survival in the unmatched cohorts only, while showed marginally non-significantly better survival after propensity score matching (PSM). For CSCLC, a nomogram was constructed for the 6-month, 1-year, and 3-year OS prediction by combining the independent risk factors, including age, gender, tumor, node, and metastasis stage, surgery, and chemotherapy. The nomogram showed good discrimination and calibration both in the training and validation sets, and better performance than the tumor–node–metastasis staging system. Risk stratification analysis indicated that the nomogram scores efficiently divided CSCLC patients into low-, intermediate-, and high-risk groups (P<0.001). CONCLUSIONS: CSCLC patients presented a significantly worse prognosis than patients with NSCLC, but comparable prognosis when compared with pure SCLC patients in the matched cohorts. In addition, we developed and validated a nomogram for predicting the 6-month, 1-year, and 3-year OS in CSCLC patients.
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spelling pubmed-86746032022-01-06 Clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the SEER database Yang, Lan Zhou, Yuwen Wang, Gang Liu, Dan Chen, Bojiang Pu, Dan Correale, Pierpaolo Rades, Dirk Tomita, Yusuke Inno, Alessandro Santarpia, Mariacarmela Li, Yalun Li, Weimin Transl Lung Cancer Res Original Article BACKGROUND: Combined small-cell lung cancer (CSCLC) refers to the simultaneous presence of small cell lung cancer (SCLC) and any subtype of the non-small cell lung cancer (NSCLC). This study aimed to explore the prognosis of CSCLC, NSCLC, and pure SCLC patients, and to develop a nomogram to estimate the overall survival (OS) for CSCLC patients. METHODS: Patients diagnosed with NSCLC, CSCLC, and pure SCLC between 2004 and 2015 were identified from the Surveillance Epidemiology and End Results (SEER) database. Survival analyses were performed by using the Kaplan Meier curves and Cox proportional hazards regression. All CSCLC patients were randomly split 7:3 into training and validation sets. A nomogram was developed by integrating all independent predictors for OS. The performance of the nomogram was determined by discrimination, calibration ability, clinical usefulness, and risk stratification ability. RESULTS: A total of 326,695 lung cancer patients, including 871 with CSCLC, 280,391 with NSCLC, and 45,433 with pure SCLC were enrolled. CSCLC was associated with worse survival compared with NSCLC both in the unmatched and matched cohorts. However, compared to pure SCLC, CSCLC was associated with significantly better survival in the unmatched cohorts only, while showed marginally non-significantly better survival after propensity score matching (PSM). For CSCLC, a nomogram was constructed for the 6-month, 1-year, and 3-year OS prediction by combining the independent risk factors, including age, gender, tumor, node, and metastasis stage, surgery, and chemotherapy. The nomogram showed good discrimination and calibration both in the training and validation sets, and better performance than the tumor–node–metastasis staging system. Risk stratification analysis indicated that the nomogram scores efficiently divided CSCLC patients into low-, intermediate-, and high-risk groups (P<0.001). CONCLUSIONS: CSCLC patients presented a significantly worse prognosis than patients with NSCLC, but comparable prognosis when compared with pure SCLC patients in the matched cohorts. In addition, we developed and validated a nomogram for predicting the 6-month, 1-year, and 3-year OS in CSCLC patients. AME Publishing Company 2021-11 /pmc/articles/PMC8674603/ /pubmed/35004254 http://dx.doi.org/10.21037/tlcr-21-804 Text en 2021 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
Yang, Lan
Zhou, Yuwen
Wang, Gang
Liu, Dan
Chen, Bojiang
Pu, Dan
Correale, Pierpaolo
Rades, Dirk
Tomita, Yusuke
Inno, Alessandro
Santarpia, Mariacarmela
Li, Yalun
Li, Weimin
Clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the SEER database
title Clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the SEER database
title_full Clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the SEER database
title_fullStr Clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the SEER database
title_full_unstemmed Clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the SEER database
title_short Clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the SEER database
title_sort clinical features and prognostic factors of combined small cell lung cancer: development and validation of a nomogram based on the seer database
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674603/
https://www.ncbi.nlm.nih.gov/pubmed/35004254
http://dx.doi.org/10.21037/tlcr-21-804
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