Recent studies have highlighted the importance of spatial transcriptomics in understanding gliomas, particularly glioblastomas (GBM) and oligodendrogliomas. Mirzaei et al. conducted a comprehensive analysis revealing the extensive intratumoral heterogeneity of GBM, emphasizing the spatial distribution of extracellular matrix (ECM) molecules. Their findings suggest that the biglycan-LRP6 axis may serve as a potential therapeutic target to mitigate tumor growth, indicating that spatial heterogeneity plays a critical role in the behavior of brain tumor-initiating cells (ref: Mirzaei doi.org/10.1158/0008-5472.CAN-22-3004/). In a complementary study, Batchu et al. focused on oligodendrogliomas, utilizing single-cell RNA sequencing to investigate the metabolic landscapes of these rare tumors. By analyzing 4044 oligodendroglioma cells from various brain regions, they uncovered significant spatial differences in metabolic pathway activities, providing insights into the unique metabolic characteristics that may influence tumor behavior and treatment responses (ref: Batchu doi.org/10.1007/s10014-023-00455-8/). Together, these studies underscore the necessity of spatially resolved analyses to unravel the complexities of glioma biology and identify novel therapeutic strategies.