Recent advancements in glioblastoma (GBM) treatment have focused on targeted therapies and innovative delivery methods. One study highlighted the efficacy of avapritinib in targeting PDGFRA-altered high-grade gliomas, demonstrating a radiographic response in 3 out of 7 patients, suggesting its potential role in treating specific genomic alterations in HGG (ref: Mayr doi.org/10.1016/j.ccell.2025.02.018/). Another innovative approach involved the development of a self-oxygenating PROTAC microneedle patch, which aims to enhance glioblastoma therapy by enabling localized protein degradation and improving drug delivery across the blood-brain barrier (ref: Jiang doi.org/10.1002/adma.202411869/). Furthermore, a multi-institutional phase 1 clinical trial explored a novel multimodal treatment combining surgical immunotherapy with aglatimagene besadenovec, followed by chemoradiation and nivolumab, aiming to assess safety and immune activation metrics correlated with clinical outcomes (ref: Wen doi.org/10.1093/neuonc/). These studies collectively underscore the importance of personalized and localized treatment strategies in improving patient outcomes in glioblastoma therapy. In addition to treatment innovations, understanding the molecular underpinnings of glioblastoma remains crucial. Research has shown that molecular-based decision-making can significantly influence surgical approaches, particularly in determining when to pursue supramaximal resection based on tumor biology and patient-specific factors (ref: Drexler doi.org/10.1093/neuonc/). The role of artificial intelligence and advanced imaging techniques has also been emphasized, particularly in characterizing pediatric diffuse midline gliomas, which are notoriously aggressive and challenging to treat (ref: Haddadi Avval doi.org/10.1093/neuonc/). Overall, the integration of molecular insights, advanced imaging, and targeted therapies represents a promising frontier in the management of glioblastoma and related brain tumors.