Glioblastoma (GBM) is an aggressive central nervous system malignancy where direct tissue sampling for transcriptional profiling is challenging. Tumor-educated platelets (TEPs) have emerged as a promising non-invasive source for obtaining tumor-derived transcriptional profiles. This study performs a cross-compartmental analysis comparing the RNA-seq transcriptional profile of GBM tissue from The Cancer Genome Atlas (TCGA-GBM) with two independent TEP datasets (GSE156902, GSE68086) to determine the degree of transcriptomic concordance. Differential gene expression analysis revealed substantial overlap, with notable concordance in downregulated genes. Functional enrichment analysis of the shared differentially expressed genes (DEGs) identified a dominant neurocentric signature, primarily involving pathways related to synaptic signaling, ion transport, and neural development. These findings indicate that TEPs mirror critical aspects of the GBM transcriptional profile, supporting their utility as minimally invasive biomarkers. The convergence between the tumor and platelet transcriptomes highlights the systemic impact of glioblastoma and the diagnostic potential of TEP-based RNA analysis.

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