Lv Xiaolong, Yang Lei, Liu Tianyu, Yang Zelin, Jia Chenhao, Chen Huanwen
Department of Cardiothoracic Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Front Surg. 2022 Jul 26;9:922167. doi: 10.3389/fsurg.2022.922167. eCollection 2022.
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.
本研究首先对肺转移（LM）数据库的患病率及相关因素进行分析，然后利用该分析构建LM分类系统。本研究使用从监测、流行病学和最终结果（SEER）数据库收集的癌症患者数据，结果表明，不同癌症的LM患病率不一致；即，LM患病率范围从0.0013[脑；95%置信区间（95%CI）；0.0010 - 0.0018]到0.234（“其他消化器官”；95%CI；0.221 - 0.249）。本研究发现，高龄、低分级、较高的肿瘤或淋巴结分期以及包括骨、脑和肝在内的转移与LM发生呈正相关，而女性性别、收入、婚姻状况和参保状况与LM发生呈负相关。然后，本研究根据患病率和影响因素将58种癌症类型分为四类，并对其进行了令人满意的验证。该分类系统反映了不同癌症的LM风险。它可以指导个体化治疗以及对这些同步转移性癌症患者的管理，并帮助临床医生更好地分配医疗资源。
