本研究的目的是探讨不同的器官转移对非小细胞肺癌（NSCLC）预后的影响。从2016年至2019年，我们从监测、流行病学和结果数据库（SEER）中选取了患有远程转移性NSCLC的患者。我们研究了不同器官转移的发生率以及它们与临床病理因素的关联。计算了远程转移性NSCLC的总体生存率（OS）和肺癌特异性生存率（LCSS），并进行了多变量Cox回归分析，构建了一个基于Cox回归的生存率判定图谱。本研究共纳入了26,210例远程转移性NSCLC患者。近48.9%的转移性NSCLC患者存在多器官转移，其中骨骼是最常受累的器官（44.4%）。单器官转移的患者中，肺部或远处淋巴结转移的预后优于其他转移类型（肺部和远处淋巴结转移的中位OS分别为15个月和16个月），而肝脏转移导致的预后最差，中位OS为8个月。为了可视化Cox回归模型，我们构建了一个判定图谱，并且接受者操作特性曲线（ROC曲线）展示了预测模型的良好区分度，1年和2年的ROC曲线下面积分别为0.687和0.702。NSCLC患者的预后在远程转移情况下较差。在单一器官转移中，肝脏转移的预后最差。基于Cox回归模型的判定图谱提供了一种估计远程转移性NSCLC患者OS概率的有用工具。版权所有，Thieme保留所有权利。

The aim of this study was to explore the effect of different organ metastasis on the prognosis of NSCLC.Patients with distant metastatic NSCLC were selected from Surveillance, Epidemiology, and End Results (SEER) database during 2016-2019. The incidence of different organ metastasis and their association with clinicopathological factors were explored. Overall survival (OS) and lung cancer-specific survival (LCSS) for metastatic NSCLC were calculated and multivariate Cox regression analysis was performed with a nomogram for OS being constructed based on Cox regression.Total 26,210 patients with distant metastatic NSCLC were included in this study. Around 48.9% of the metastatic NSCLC were multiple-organ metastasis and bone was the most commonly involved organ (44.4%). For patients with single-organ metastasis, the prognosis for lung or distant LNs metastasis was better than others (with median OS of 15 and 16 months for lung and distant LNs metastasis respectively), and liver metastasis resulted in the worst prognosis with median OS of 8 months. A nomogram was constructed to visualize Cox regression model, along with the receiver operating characteristic (ROC) curve demonstrated good discrimination for the predictive model with 1- and 2-year area under the curve of ROC of 0.687 and 0.702, respectively.The prognosis of NSCLC patients with distant metastasis was poor. Liver metastasis results in the worst prognosis among the single organ metastasis. The nomogram developed based on the Cox regression model has provided a useful tool to estimate the probability of OS of the metastatic NSCLC.Thieme. All rights reserved.