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

作者全名："Lv, Xiaolong; Yang, Lei; Liu, Tianyu; Yang, Zelin; Jia, Chenhao; Chen, Huanwen"

作者地址："[Lv, Xiaolong; Yang, Lei; Liu, Tianyu; Yang, Zelin; Jia, Chenhao; Chen, Huanwen] Chongqing Med Univ, Dept Cardiothorac Surg, Affiliated Hosp 1, Chongqing, Peoples R China"

通信作者："Chen, HW (通讯作者)，Chongqing Med Univ, Dept Cardiothorac Surg, Affiliated Hosp 1, Chongqing, Peoples R China."

来源：FRONTIERS IN SURGERY

ESI学科分类：　

WOS号：WOS:000838373500001

JCR分区：Q3

影响因子：1.8

年份：2022

卷号：9

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：lung metastasis; prevalence; associated factors; cancer classification; SEER program

摘要："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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