Systematic comprehension of genomics and mutational landscape of glioma: A goal towards advanced therapeutics.

We provide a systematic understanding of the mutation frequency, genetic profile, and functional implications of genes associated with glioma. Through an analysis of data from the Human Gene Mutation Database (HGMD) and clinical information obtained from a diverse cohort of patients, we identified prominent mutated genes in glioma. PTEN, TP53, EGFR, and MUC16 emerged as the most frequently mutated, each exceeding a 10% occurrence rate. Correlative analyses confirmed phenotypic associations between genes known to cause glioma and various other cancer types, underscoring shared genetic factors in tumorigenesis. Furthermore, we revealed sex-specific mutation patterns and significant age-related variations in glioma incidence. Transcription factors such as TP53 and PPARG were recognized as crucial regulators of genes associated with glioma, emphasizing their pivotal roles in glioma pathogenesis. Enrichment analysis highlighted the involvement of fundamental biological processes and pathways, while our protein-protein interaction (PPI) analysis identified TP53 as a central hub within the network of genes associated with glioma. Additionally, the prevalence of kinases in these interactions underscores the relevance of kinase signaling in glioma pathogenesis. These findings will aid in the identification of potential therapeutic and diagnostic targets for future research and clinical applications.