Low-grade gliomas (LGGs) present significant clinical challenges due to their propensity for recurrence and progression despite therapeutic interventions. Understanding the tumor microenvironment (TME) and its evolution over time is crucial for developing more effective treatment strategies. In this study, we employ CosMx 6k Spatial Molecular Imager to investigate the TME of low-grade gliomas across two tissue microarrays (TMAs),one comprising tumors at diagnosis and the other containing post-relapse tumors.
In-Situ RNA sequencing approach can provide spatial insights into the key patterns driving glioma progression, within the tissue context. By studying tumor’s evolution over time, we aim to uncover the dynamic changes in the TME associated which lead to relapse. This longitudinal approach allows us to identify specific molecular signatures and cellular phenotypes essential for tumor resistance.
Our study pioneers the use of CosMx 6k spatial transcriptomics to underscore the importance of “omics” approaches in unraveling the complex biology of gliomas. By integrating spatial and temporal data, we provide a comprehensive framework for understanding the evolution of molecular patterns influencing low-grade gliomas phenotypes and progression. These insights have significant implications for developing novel targeted therapies designed to improve patient outcomes.