NCMP-10. EFFECT OF EXTENT OF RESECTION ON GLIOMA SEIZURE OUTCOMES BASED ON MOLECULAR GROUPS

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Abstract INTRODUCTION Increased extent of resection (EOR) is a known predictor of seizure freedom in glioma patients. However, it is unknown how tumor genomic alterations affect EOR-induced seizure control. OBJECTIVE To evaluate the genotype-specific impact of EOR on post-operative seizure control METHODS Records of 553 glioma patients who underwent tumor resection from 2012-2023 were reviewed. All patient tumors were analyzed with next generation sequencing and FISH analysis. The unsupervised machine learning algorithm non-negative matrix factorization (NMF) was used to cluster the genomic data. Clinical variables including extent of resection of contrast enhancing tumor and non-enhancing tumor, temozolomide therapy, and radiation therapy were analyzed using Cox Proportional Hazards models. RESULTS NMF clustering of tumor sequencing data revealed four molecular groups: Group 1 (n=56): CDKN2a loss, EGFR copy number gain or mutation, TERT promoter (TERTp) mutation, and MGMT methylated; Group 2 (n=27): IDH mutation, TP53 mutation, and MGMT methylated; Group 3 (n=60): TP53 mutation, TERTp mutation and MGMT methylated; Group 4 (n=244): MGMT unmethylated. Thresholds in the post-operative residual non-enhancing tumor volume (NETV) were identified which marked the most difference in seizure control. For patients in Group 1, the NETV threshold that led to improved epilepsy outcomes was <94.7 cc (p=0.047), whereas the threshold for Group 4 was <89.1 cc (p=0.016). When analysis was conducted for Group 2, the threshold of 10.2 cc failed to reach significance (p=0.1). Interestingly, the threshold analysis for Group 3 found that having a NETV of > 10.1 cc showed improved seizure outcomes (p=0.016). A multivariable cox proportional hazard analysis found that twelve-month seizure freedom was predictive of better OS in group 1 (HR 0.02, p=0.05) and group 4 (HR 0.21, p=1.63e-9). CONCLUSION Our study reveals clinically distinct molecular groups of glioma that display different seizure responses. This data suggests a tumor-specific approach to aggressiveness of extent of resection in order to achieve optimal seizure control.