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BACKGROUND GBM is driven by various genomic alterations. Next generation sequencing (NGS) may reveal targetable alterations. The goal of this study was to describe how NGS can inform targeted therapy (TT) selection. METHODS The medical records of patients (pts) with GBM from 2017–2019 were reviewed. Pts with actionable mutations were included in the analysis. At first progression (PD1), two cohorts of pts were defined: cohort A received TT, while cohort B received physician’s choice chemotherapy (PCC). Regression analyses were used to determine OS and PFS between cohorts. A stratified cox model was utilized to assess the effect of TT, where KPS level (low vs high) was utilized as a stratification factor. A heat map was generated describing the landscape of mutations. Disease response in cohort A was graded per RANO criteria. RESULTS There were 38 GBM pts with actionable alterations. Cohort A had 15 (39%) pts and cohort B had 23 (61%) pts. Of the 26 common alterations, 11 (42%) were deemed actionable. Pts with higher KPS were more likely to receive TT. Pts with a KPS ≥ 70 had a longer PFS while on TT. Although not well powered, pts in cohort A had a longer median OS relative to cohort B (HR 0.37 CI 0.10–1.38). The objective response rate (ORR) was 93%, with afatinib and cabozantinib resulting in complete response, one pt had progressive disease while on TT. CONCLUSION NGS for recurrent GBM yields a high rate of actionable alterations. Pts that go on TT are often younger and with higher KPS. This likely plays into their improved survival; however, it is notable that the high ORR reflects the value of NGS in deciding on TT to match alterations that are likely to respond. In conclusion, patient selection and availability of NGS impacts outcomes in recurrent GBM.

INNV-17. NEXT GENERATION SEQUENCING IMPACTS OUTCOMES IN RECURRENT PRIMARY GLIOBLASTOMA: A SINGLE-CENTER RETROSPECTIVE ANALYSIS