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

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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Journal
Neuro-Oncology
Published
2025-11-01
DOI
https://doi.org/10.1093/neuonc/noaf201.0150
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
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article

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

Inga Granovskaya, Jaime Godoy-Santín, John Yohan Rhee, Lakshmi Nayak et al.
Neuro-Oncology
Glioma Diagnosis and Treatment
article

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

Inga Granovskaya, Jaime Godoy-Santín, John Yohan Rhee, Lakshmi Nayak, Patrick Yung Wen, Katrina Roberto, Eirena Calabrese, David A. Reardon, Marie Allen, Aimee Theriault, Andrea S.L. Wong, Mary Jane Lim-Fat, James Perry, Rachel Fox, Aimee Chan, Javeria Raheem
article en

Abstract

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.

Neuro-OncologyVol. 27(Supplement_5)
Sunnybrook Health Science Centre (CA), University of Toronto (CA), Health Sciences Centre (CA), Dana-Farber Cancer Institute (US), Sunnybrook Hospital (CA), Sunnybrook Research Institute
Openalex Percentile: Top 51%
Glioma Diagnosis and Treatment
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