Identification of Dual-Purpose Therapeutic Targets Implicated in Aging and Glioblastoma Multiforme Using PandaOmics - An AI-Enabled Biological Target Discovery Platform

This study explores the identification of dual-purpose therapeutic targets for both aging and Glioblastoma Multiforme (GBM) using the AI-enabled PandaOmics platform. By integrating disease-related genes with those important in aging, the researchers developed three strategies for target identification, utilizing correlation analysis, survival data, expression level differences, and existing aging-related gene information. The AI-driven PandaOmics TargetID engine was employed to rank and prioritize potential therapeutic gene targets. The study proposes cyclic nucleotide gated channel subunit alpha 3 (CNGA3), glutamate dehydrogenase 1 (GLUD1), and sirtuin 1 (SIRT1) as promising targets for treating both aging and GBM.