Purpose: Although osimertinib has excellent intracranial activity in metastatic non-small cell lung cancer (NSCLC) with exon 19 deletion or L858R EGFR alterations, measures of local control of brain metastases are less well-reported. We describe lesion-level outcomes of brain metastases treated with osimertinib alone.Methods: We retrospectively reviewed patients with EGFR-mutant NSCLC with untreated brain metastasis measuring ≥5 mm at the time of initiating osimertinib. Cumulative incidence of local recurrence in brain (LRiB) was calculated with death as a competing risk, and univariable and multivariable analyses were conducted to identify factors associated with LRiB.Results: We included 284 brain metastases from 37 patients. Median follow-up was 20.1 months. On initial MRI after starting osimertinib, patient-level response was complete response (CR) in 11 (15%), partial response (PR) in 33 (45%), stable disease (SD) in 18 (25%) and progressive disease (PD) in 11 (15%). The 1-year cumulative incidence of LRiB was 14% (95% CI 9.9-17.9) and was signi cantly different in patients with a CR (0%), PR (4%), and SD (11%; p=0.02). Uncontrolled primary tumor (adjusted hazard ratio [aHR] 3.78, 95% CI 1.87-7.66; p<0.001), increasing number of prior systemic therapies (aHR 2.12, 95% CI 1.49-3.04; p<0.001), and higher ECOG score (aHR 7.8, 95% CI 1.99-31.81; p=0.003) were associated with LRiB.Conclusions: Although 1-year risk of LRiB is <4% with a CR or PR, 1-year risk of LRiB is over 10% for patients with less than a PR to osimertinib. These patients should be followed closely for need for additional treatment such as stereotactic radiosurgery.
Purpose: Although osimertinib has excellent intracranial activity in metastatic non-small cell lung cancer (NSCLC) with exon 19 deletion or L858R EGFR alterations, measures of local control of brain metastases are less well-reported. We describe lesion-level outcomes of brain metastases treated with osimertinib alone.Methods: We retrospectively reviewed patients with EGFR-mutant NSCLC with untreated brain metastasis measuring ≥5 mm at the time of initiating osimertinib. Cumulative incidence of local recurrence in brain (LRiB) was calculated with death as a competing risk, and univariable and multivariable analyses were conducted to identify factors associated with LRiB. Results: We included 284 brain metastases from 37 patients. Median follow-up was 20.1 months. On initial MRI after starting osimertinib, patient-level response was complete response (CR) in 11 (15%), partial response (PR) in 33 (45%), stable disease (SD) in 18 (25%) and progressive disease (PD) in 11 (15%). The 1-year cumulative incidence of LRiB was 14% (95% CI 9.9-17.9) and was significantly different in patients with a CR (0%), PR (4%), and SD (11%; p=0.02). Uncontrolled primary tumor (adjusted hazard ratio [aHR] 3.78, 95% CI 1.87-7.66; p<0.001), increasing number of prior systemic therapies (aHR 2.12, 95% CI 1.49-3.04; p<0.001), and higher ECOG score (aHR 7.8, 95% CI 1.99-31.81; p=0.003) were associated with LRiB. Conclusions: Although 1-year risk of LRiB is <4% with a CR or PR, 1-year risk of LRiB is over 10% for patients with less than a PR to osimertinib. These patients should be followed closely for need for additional treatment such as stereotactic radiosurgery.
Osimertinib has been found to be effective for intracranial control in patients with metastatic EGFR-mutant non-small cell lung cancer (NSCLC). However, the lesion-level response of brain metastases to osimertinib has not been thoroughly evaluated. This retrospective study included 73 patients with EGFR-mutant NSCLC and brain metastases who were treated with osimertinib at a single institution from 2016 to 2021. Patients with the leptomeningeal disease were excluded. The study used an FDA-approved brain tumor management artificial intelligence (AI) platform, VBrain, to identify, track, and measure brain metastases on the baseline and follow-up MRI brain scans. Mixed response (MiR) was defined as the occurrence of progressive or new lesions along with synchronous responsive shrinking intracranial lesions at the first follow-up scan. K-means grouping was used to partition patients into two clusters according to their response heterogeneity. With a median follow-up of 23.8 months, a high MiR score (higher than 103%, n=25) was associated with worse cranial-progression-free survival (3.2 vs. 17.9 months, p<0.0001) and significantly inferior overall survival (12.4 vs. 30.1 months, HR=2.35, p=0.016). This poses a similar negative impact on the survivals of 18 patients with pure RANO-BM progression (HR=2.52, p=0.025). Eight patients had the highest MiR score (MiRmax), in whom synchronous new lesions and completely responsive tumors were observed. In a multivariate Cox proportional-hazards regression involving performance status, extracranial failure, tumor volume, lesion number, and RANO-BM classification as variables, MiRmax remained an independent prognosticator for inferior survival (HR=5.20, 95%CI; 2.21–12.23, p=0.002). Our study demonstrates that MiR in brain metastases from EGFR-mutant NSCLC treated with osimertinib is associated with inferior survival outcomes and a higher risk of local progression. Lesion-level response assessment using AI may provide important prognostic information and aid in treatment decision-making for these patients.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.