Recent studies have significantly advanced our understanding of the molecular mechanisms underlying medulloblastoma, particularly through innovative methodologies. A comprehensive international database encompassing 934 patients has been established, which leverages artificial intelligence and MRI signatures to predict molecular subgroups non-invasively, thus addressing the challenge of accessibility to molecular testing (ref: Wang doi.org/10.1016/j.ccell.2024.06.002/). Additionally, high-throughput screening using a sonic hedgehog (SHH)-medulloblastoma model has identified S6K1 inhibition as a selective vulnerability, highlighting a potential therapeutic target that could improve treatment outcomes while minimizing side effects (ref: Zhou doi.org/10.1093/neuonc/). The epigenomic landscape of medulloblastoma has also been explored, revealing oncogenic hijacking by nuclear factor I family proteins, which underscores the complexity of gene regulation during tumorigenesis (ref: Shiraishi doi.org/10.1016/j.devcel.2024.05.013/). Furthermore, REST-dependent modulation of the von Hippel-Lindau tumor suppressor has been shown to promote autophagy in SHH-medulloblastoma, suggesting a novel pathway that could be targeted for therapeutic intervention (ref: Singh doi.org/10.1038/s41598-024-63371-7/). Lastly, the efficacy of triptolide and its prodrug Minnelide in targeting high-risk MYC-amplified medulloblastoma has been validated, emphasizing the need for targeted therapies that can effectively reduce tumor viability (ref: Rodriguez-Blanco doi.org/10.1172/JCI171136/).