Bioinformatics Profiling of Glioblastoma Versus Normal Brain Tissue to Identify Candidate Biomarkers for Potential Treatment Strategies

This poster presents a bioinformatics analysis of differential gene expression between glioblastoma and normal brain tissue using GEO dataset GSE196695. The study identifies significantly differentially expressed genes (DEGs) and examines their involvement in key biological processes, including cell proliferation, extracellular matrix (ECM) organization, and growth factor–related signaling pathways. The findings highlight potential biomarkers and suggest therapeutic targets, while also revealing parallels between tumor progression and normal wound healing and tissue regeneration mechanisms.