Recent studies have significantly advanced our understanding of the molecular mechanisms underlying various tumor pathologies, particularly in the context of central nervous system tumors. For instance, a comprehensive analysis of spinal ependymomas revealed distinct molecular subtypes, with myxopapillary ependymomas (MPE) classified into two groups based on their progression-free survival rates. The study identified MPE-A and SP-EPN-A as having poor outcomes, while MPE-B and SP-EPN-B were associated with favorable prognoses, highlighting the importance of molecular profiling in guiding treatment strategies (ref: Hack doi.org/10.1093/neuonc/). Similarly, a framework for DNA methylation-based modeling in cranial meningiomas has been proposed, which allows for the prediction of postsurgical outcomes and response to radiotherapy, thus facilitating clinical decision-making (ref: Landry doi.org/10.1093/neuonc/). Furthermore, an individual patient data meta-analysis of infant-type hemispheric gliomas has provided insights into optimal treatment strategies, emphasizing the need for tailored approaches based on molecular characteristics (ref: Chavaz doi.org/10.1093/neuonc/). Collectively, these studies underscore the critical role of molecular diagnostics in improving patient outcomes in neuro-oncology. In addition to ependymomas and meningiomas, the clinical and molecular landscape of pediatric cerebral and spinal cavernous malformations has been explored, revealing a significant mutational burden that correlates with radiological features and hemorrhagic risk (ref: Benichi doi.org/10.1093/braincomms/). Moreover, a systematic review of MYB alterations in angiocentric gliomas has identified novel mutations and their clinical implications, with MYB::QKI fusions being prevalent in a significant proportion of cases (ref: Peña Pino doi.org/10.1111/neup.70036/). These findings highlight the intricate relationship between genetic alterations and tumor behavior, paving the way for more personalized therapeutic strategies.