Abstract Introduction Following the results from the REGOMA study, regorafenib has become the first chemotherapeutic option for recurrent glioblastoma, IDH-wildtype, in many countries. However, predictive factors for response to regorafenib are scarcely recognized. The objective of this study was to identify molecular predictive factors for response to regorafenib using a clinically available platform. METHODS We analyzed a prospective cohort of 30 patients harboring recurrent glioblastoma, IDH-wildtype, and treated with regorafenib. Next-generation sequencing (NGS) analysis was performed on DNA extracted from paraffin-embedded tissues using a rapid, cheap, and clinically validated platform. MGMT methylation was assessed using methylation-specific PCR, and EGFRvIII expression was assessed using RT-PCR. RESULTS In our series, six-month progression-free survival (PFS) was 30% and median overall survival (OS) was 7.5 months: these data are consistent with current literature. Among clinical variables, gross-total resection was endowed with a positive prognostic value for PFS (p=0.0296, log-rank test). NGS analysis revealed a mutation in the EGFR pathway (EGFR and/or PIK3CA) in 18% of cases; a mutation in the mitogen-activated protein-kinase (MAPK) pathway (RAS and/or RET) in 18% of cases; no mutations in the remaining cases. Patients carrying MAPK pathway mutation had a poor response to regorafenib treatment, with a significantly shorter PFS and a nonsignificantly shorter OS compared to EGFR-mutated patients (for PFS, 2.5 vs 4.5 months, p=0.0061; for OS, 7 vs 9 months, p=0.1076). By combining NGS analysis with RT-PCR for EGFRvIII, we identified 14 patients with EGFR pathway activation, who had a significantly longer PFS and OS after regorafenib treatment. Multivariate analysis confirmed that MAPK pathway mutations predicted a scarce response to regorafenib treatment. Conclusions Through an easy-to-use and cheap platform, we identified a mesenchymal, MAPK-altered signature in IDH-wildtype glioblastoma, predictive of scarce response to regorafenib at recurrence. We thus provide a molecular selection criterion to implement in the clinical practice.