Abstract
Glioblastoma multiforme (GBM) is the most malignant brain tumor with rapid relapse, and an early biomarker identification in GBM is of high importance. We introduced our computational methodologies to identify serum microRNAs (miRNAs) as novel biomarkers in GBM. Differentially expressed miRNAs (DEMs) in GBM were analyzed from the Gene Expression Omnibus (GEO) repository; we then combined Venn diagrams and OmniSearch, a semantic search tool, to filter out miRNAs that can regulate GBM disease process. Our results indicated that miR-142-3p, let-7c, and miR-140-5p are candidate biomarkers in GBM.