BIOM-62. BASELINE NEUROLOGICAL FUNCTION ASSESSED BY NANO PREDICTS PROGRESSION-FREE SURVIVAL IN GLIOBLASTOMA

BIOM-62. 纳米技术评估的基线神经功能可预测胶质母细胞瘤患者的无进展生存期

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Abstract

BACKGROUND: The Neurologic Assessment in Neuro-Oncology (NANO) scale is a standardized clinician-friendly tool consisting of nine domains to assess neurological status in brain tumor patients. Combined with MRI, NANO offers a comprehensive clinician response outcome, particularly when clinical and radiologic responses diverge. Despite its growing use in clinical trials, NANO’s association with progression-free survival (PFS) and overall survival (OS) in glioblastoma (GBM) remains underexplored. METHODS: The Molecular, Imaging, and Neurological Assessment Database for CNS tumors (MIND-CNS) is a prospective, multimodal database capturing molecular, imaging, and neurological information—including NANO scores and Karnofsky Performance Status (KPS) —at baseline and follow-up visits in glioma patients. We analyzed baseline NANO scores in relation to PFS in a real-world cohort of GBM patients. Survival distributions were compared using log-rank tests, and covariate effects were estimated via Cox proportional hazards models. RESULTS: We evaluated 85 GBM patients (59% male, median age 63) with baseline NANO scores as part of their assessment at a tertiary Canadian center. Patients with any neurological deficit at baseline showed a trend towards shorter PFS (p < 0.06). Specifically, deficits in gait (p < 0.001), strength (p < 0.001), and facial function (p < 0.03) were associated with shorter PFS. Greater neurological deficit in multiple domains (higher cumulative baseline NANO score) also predicted shorter PFS (p < 0.04) and higher rates of progression at 3 months (p < 0.04), independent of age, sex, and MGMT promoter methylation status. KPS score was also independently associated with PFS at 3 months (p <0.04). CONCLUSION: Baseline NANO scores predict PFS and early progression in GBM patients. While KPS also correlated with outcomes, NANO offered greater granularity by identifying specific deficits. A combined international cohort analysis of GBM patients (n = 181) is underway to further evaluate associations with overall survival.

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