Glioblastomas (GBMs) are characterized by significant inter- and intratumor heterogeneity, which complicates treatment strategies. Recent studies have utilized patient-derived models, such as organoids and explants, to better understand this heterogeneity. For instance, LeBlanc et al. analyzed genomic features across 12 IDH wild-type GBMs, revealing variable retention of heterogeneity in patient-derived explants and gliomasphere lines (ref: LeBlanc doi.org/10.1016/j.ccell.2022.02.016/). Furthermore, Jiang et al. demonstrated that enhanced mitochondrial fatty acid oxidation (FAO) is linked to radioresistance in GBM, with CD47-mediated immune evasion being a critical factor in recurrent cases (ref: Jiang doi.org/10.1038/s41467-022-29137-3/). This metabolic shift from glycolysis to FAO was shown to correlate with poor prognosis in patients, highlighting the need for targeted therapies that address these metabolic pathways. Additionally, Miki et al. identified TERT promoter mutations as early events in gliomagenesis, suggesting that these mutations confer a growth advantage in neural progenitors (ref: Miki doi.org/10.1093/neuonc/). The integration of these findings emphasizes the importance of understanding the molecular underpinnings of GBM to develop effective treatments. Moreover, Zhan et al. proposed a novel approach for personalized therapy by targeting glioblastoma energy metabolism through blood exosome-based delivery systems (ref: Zhan doi.org/10.1093/neuonc/). This innovative strategy aims to enhance therapeutic efficacy while minimizing systemic side effects.