The Prognostic Value of Copy Number Variations and Gene Mutations in Glioblastoma: Insights from a Large-Scale Bioinformatic Study.

Glioblastoma is an aggressive and often fatal brain tumor characterized by poor prognosis and complex genetic underpinnings. Through extensive analysis of glioblastoma datasets on the cBioPortal, this study identifies critical gene mutations and copy number alterations (CNAs) that correlate strongly with patient survival rates. Key findings highlight significant CNAs in chromosomes 20, 19, 10, 1, and 7. Our deep dive into the genetic profiles of deceased patients revealed a notable enrichment of mutations in specific genes, including MUC19, which exhibits higher expression levels in the cerebral cortex--the brain region most frequently affected by glioblastoma. By mapping these genes on GeneMania, we uncovered their functions and potential implications in glioblastoma pathology, such as their involvement in mucus lining and epithelial barriers, focusing on MUC genes, which showed differential expression patterns correlating with patient outcomes. This bioinformatic exploration advances our understanding of glioblastoma's molecular landscape and sets the stage for targeted therapies that could improve prognosis and treatment strategies. [ABSTRACT FROM AUTHOR]