Development and validation of a predictive nomogram for leptomeningeal metastasis risk in NSCLC brain metastases: role of tumor location, driver mutations, and stereotactic radiosurgery.

backgroundNon-small cell lung cancer (NSCLC) frequently metastasizes to the leptomeninges, typically following brain parenchymal metastases (BM), with a significant impact on prognosis. However, predictors of leptomeningeal metastasis (LM) development remain poorly characterized. This study aimed to identify independent risk factors for subsequent LM development and establish a predictive nomogram for clinical risk stratification.

methodsThe final analysis included 112 pathologically definite NSCLC patients with BM, treated at Sanjiu Brain Hospital between July 2014 and December 2020, who had not undergone whole brain radiation therapy before LM diagnosis. LM diagnosis was made if the patient had a history of pathologically confirmed lung cancer, new signs and symptoms of the nervous system, and positive CSF cytology or typical MRI findings. The data were retrospectively collected following the initial BM diagnosis until the patient was diagnosed with LM or died of any cause without developing LM. MR images were reviewed independently by two well-experienced radiologists in a double-blind manner. The primary outcome was to identify factors associated with the development of LM following BM diagnosis.

resultsIn the present study, two study cohorts were analyzed: (1) NSCLC-BM patients who subsequently developed LM (n = 56), and (2) NSCLC-BM patients who did not develop LM until death (n = 56). The median follow-up time for the entire cohort was 9.9 months (IQR, 4.2-18.2 months) following BM diagnosis. Univariate analysis identified several potential risk factors including EGFR/ALK/ROS1 mutations (OR = 3.868, 95% CI 1.583-10.079, P = 0.003), ventricle- or pia mater-adherent BMs (OR = 10.278, 95% CI 4.203-27.375, P < 0.001), and stereotactic radiosurgery (SRS) as a protective factor (OR = 0.024, 95% CI 0.001-0.12, P < 0.001). Multivariable logistic regression confirmed adherent BMs (OR = 9.846, 95% CI 2.981-40.176, P < 0.001) and driver mutations (OR = 5.501, 95% CI 1.444-25.893, P = 0.018) were independent predictors of increased LM risk, while SRS significantly reduced LM risk (OR = 0.029, 95% CI 0.001-0.179, P = 0.002). Fine-Gray competing risks analysis (death without developing LM as competing event) yielded consistent results: adherent BMs (HR = 3.17, 95% CI 1.68-5.97, P < 0.001), mutations (HR = 2.99, 95% CI 1.03-8.70, P = 0.045), and protective effect of SRS (HR = 0.25, 95% CI 0.14-0.46, P < 0.001). A nomogram incorporating these three factors demonstrated excellent predictive performance with an area under the receiver operating characteristic curve of 0.885 and a C-index of 0.805.

conclusionsPatients with adherent BMs and driver mutations appear to be associated with increased LM risk, while SRS may be associated with reducing this risk. Our novel nomogram incorporating these factors shows promising predictive performance in our cohort, potentially enabling effective risk stratification. These exploratory findings suggest high-risk patients with ventricle- or pia mater-adherent BMs and driver mutations might benefit from consideration of upfront SRS combined with targeted therapy, though prospective validation is needed.