Recent studies have highlighted the complex interplay between genetic evolution and microenvironment interactions in glioma progression. Varn et al. analyzed RNA and DNA sequencing data from 304 adult patients with both IDH-wild-type and IDH-mutant gliomas, revealing that tumor recurrence patterns were significantly influenced by IDH mutation status. The study found that recurrent tumors exhibited distinct histological features and somatic alterations, suggesting that understanding these changes is crucial for developing targeted therapies (ref: Varn doi.org/10.1016/j.cell.2022.04.038/). In a related study, Adeberg et al. focused on glioblastomas derived from the subventricular zone (SVZ), proposing a DNA methylome-based classification system to better stratify patients with poor prognostic outcomes. This classification aims to overcome the limitations of imaging-based evaluations, which can be error-prone (ref: Adeberg doi.org/10.1007/s00401-022-02443-2/). Furthermore, Ratliff et al. introduced patient-derived tumor organoids as a promising tool for personalizing drug therapies in recurrent glioblastoma, emphasizing the need for individualized treatment strategies due to the genetic heterogeneity observed in these tumors (ref: Ratliff doi.org/10.3390/ijms23126572/). Goodman et al. provided a systematic review on the role of neuropathology in managing progressive glioblastoma, questioning the additional prognostic value of IDH mutation testing and large panel sequencing beyond initial histological analysis (ref: Goodman doi.org/10.1007/s11060-022-04005-8/). Collectively, these studies underscore the importance of integrating molecular and histopathological insights to enhance glioma management and treatment outcomes.