Liu Haoyu, Chen Feihu, Xu Qinhao, Zhai Xiaoyang, Tian Yaru, Sun Zhuoran, Lu Shuangqing, Niu Jiling, Zhao Junfeng, Jin Yuqin, Zhu Hui
Department of Radiation Oncology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, P.R. China.
Department of Imageology, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, Shandong 250117, P.R. China.
Oncol Lett. 2025 Apr 2;29(6):265. doi: 10.3892/ol.2025.15011. eCollection 2025 Jun.
Patients with extensive-stage small cell lung cancer (ES-SCLC) have a high risk of brain metastasis (BM). However, to the best of our knowledge, the risk factors for BM remain unclear. The present study aimed to investigate the risk factors and establish a prediction model for BM in patients with ES-SCLC. A total of 156 patients with ES-SCLC who had no BM and achieved a partial or complete response between January 2020 and March 2023 were included. Patients were randomly divided into training (n=109) and validation (n=47) cohorts. Factors associated with BM were assessed in the training cohort. Univariate and Cox multivariate analyses were performed to evaluate patients with ES-SCLC. Cox multivariate analysis identified oligometastasis [hazard ratio (HR), 0.35; 95% CI, 0.14-0.85; P=0.021], sex (HR, 2.48; 95% CI, 1.05-5.85; P=0.038) and baseline adrenal metastasis (HR, 2.85; 95% CI, 1.54-5.21; P<0.001) as independent risk factors for BM. A nomogram model was constructed to predict intracranial progression-free survival (iPFS). The areas under the receiver operating characteristic curves for the 9-, 12- and 18-month iPFS in the training cohort were 0.77, 0.74 and 0.75, respectively. The nomogram prediction and actual validation cohorts demonstrated good agreement. Among the high-risk factors for BM, the overall survival analysis demonstrated that non-oligometastasis and baseline adrenal metastasis were unfavorable prognostic factors. The present nomogram may aid risk assessment for BM in patients with ES-SCLC and guide prophylactic cranial irradiation.
广泛期小细胞肺癌(ES-SCLC)患者发生脑转移(BM)的风险很高。然而,据我们所知,BM的危险因素仍不清楚。本研究旨在调查ES-SCLC患者BM的危险因素并建立预测模型。纳入了2020年1月至2023年3月期间共156例无BM且获得部分或完全缓解的ES-SCLC患者。患者被随机分为训练组(n = 109)和验证组(n = 47)。在训练组中评估与BM相关的因素。进行单因素和Cox多因素分析以评估ES-SCLC患者。Cox多因素分析确定寡转移[风险比(HR),0.35;95%置信区间(CI),0.14 - 0.85;P = 0.021]、性别(HR,2.48;95%CI,1.05 - 5.85;P = 0.038)和基线肾上腺转移(HR,2.85;95%CI,1.54 - 5.21;P < 0.001)为BM的独立危险因素。构建了列线图模型以预测颅内无进展生存期(iPFS)。训练组中9个月、12个月和18个月iPFS的受试者工作特征曲线下面积分别为0.77、0.74和0.75。列线图预测与实际验证组显示出良好的一致性。在BM的高危因素中,总生存分析表明非寡转移和基线肾上腺转移是不良预后因素。本列线图可能有助于ES-SCLC患者BM的风险评估并指导预防性颅脑照射。