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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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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. |
format | Online Article Text |
id | pubmed-9360507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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