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Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system

This study first presents an analysis of the prevalence and associated factors of the lung metastasis (LM) database and then uses this analysis to construct an LM classification system. Using cancer patient data gathered from the surveillance, epidemiology, and end results (SEER) database, this stud...

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Autores principales: Lv, Xiaolong, Yang, Lei, Liu, Tianyu, Yang, Zelin, Jia, Chenhao, Chen, Huanwen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360507/
https://www.ncbi.nlm.nih.gov/pubmed/35959119
http://dx.doi.org/10.3389/fsurg.2022.922167
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author Lv, Xiaolong
Yang, Lei
Liu, Tianyu
Yang, Zelin
Jia, Chenhao
Chen, Huanwen
author_facet Lv, Xiaolong
Yang, Lei
Liu, Tianyu
Yang, Zelin
Jia, Chenhao
Chen, Huanwen
author_sort Lv, Xiaolong
collection PubMed
description This study first presents an analysis of the prevalence and associated factors of the lung metastasis (LM) database and then uses this analysis to construct an LM classification system. Using cancer patient data gathered from the surveillance, epidemiology, and end results (SEER) database, this study shows that the prevalence of LM is not consistent among different cancers; that is, the prevalence of LM ranges from 0.0013 [brain; 95% confidence interval (95% CI); 0.0010–0.0018] to 0.234 (“other digestive organs”; 95% CI; 0.221–0.249). This study finds that advanced age, poor grade, higher tumor or node stage, and metastases including bone, brain, and liver are positively related to LM occurrence, while female gender, income, marital status, and insured status are negatively related. Then, this study generates four categories from 58 cancer types based on prevalence and influence factors and satisfactorily validates these. This classification system reflects the LM risk of different cancers. It can guide individualized treatment and the management of these synchronous metastatic cancer patients and help clinicians better distribute medical resources.
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spelling pubmed-93605072022-08-10 Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system Lv, Xiaolong Yang, Lei Liu, Tianyu Yang, Zelin Jia, Chenhao Chen, Huanwen Front Surg Surgery This study first presents an analysis of the prevalence and associated factors of the lung metastasis (LM) database and then uses this analysis to construct an LM classification system. Using cancer patient data gathered from the surveillance, epidemiology, and end results (SEER) database, this study shows that the prevalence of LM is not consistent among different cancers; that is, the prevalence of LM ranges from 0.0013 [brain; 95% confidence interval (95% CI); 0.0010–0.0018] to 0.234 (“other digestive organs”; 95% CI; 0.221–0.249). This study finds that advanced age, poor grade, higher tumor or node stage, and metastases including bone, brain, and liver are positively related to LM occurrence, while female gender, income, marital status, and insured status are negatively related. Then, this study generates four categories from 58 cancer types based on prevalence and influence factors and satisfactorily validates these. This classification system reflects the LM risk of different cancers. It can guide individualized treatment and the management of these synchronous metastatic cancer patients and help clinicians better distribute medical resources. Frontiers Media S.A. 2022-07-26 /pmc/articles/PMC9360507/ /pubmed/35959119 http://dx.doi.org/10.3389/fsurg.2022.922167 Text en © 2022 Lv, Yang, Liu, Yang, Jia and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (https://creativecommons.org/licenses/by/4.0/) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Surgery
Lv, Xiaolong
Yang, Lei
Liu, Tianyu
Yang, Zelin
Jia, Chenhao
Chen, Huanwen
Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system
title Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system
title_full Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system
title_fullStr Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system
title_full_unstemmed Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system
title_short Pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system
title_sort pan-cancer analysis of the prevalence and associated factors of lung metastasis and the construction of the lung metastatic classification system
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360507/
https://www.ncbi.nlm.nih.gov/pubmed/35959119
http://dx.doi.org/10.3389/fsurg.2022.922167
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