Integrative bioinformatic analysis to identify potential phytochemical candidates for glioblastoma.

ABSTRACT: Glioblastoma (GBM) is one of the most malignant forms of cancer with the lowest survival ratio. Our study aims to utilize an integrated bioinformatic analysis to identify hub genes against GBM and explore the active phytochemicals with drug-like properties in treating GBM. The study employed databases of DisGenet, GeneCards, and Gene Expression Omnibus to retrieve GBM-associated genes, revealing 142 overlapping genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment were used to analyze the role of these genes, which were involved in cancer-associated cell signaling pathways with tyrosine kinase activities and mainly enriched in the Nucleus. Furthermore, the hub genes identification through Cytoscape identified the top 10 ranked genes in a network, which wer

SUBMITTER: Usmani Rana HM 

PROVIDER: S-EPMC11665539 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature