PATH-03. SPATIAL-RESOLVED METABOLOMICS ANALYSIS IN HISTOLOGICAL AND MOLECULAR GLIOBLASTOMAS USING A MOF/MXENE-ASSISTED LDI-MSI PLATFORM

Abstract Glioblastoma (GBM) is a highly aggressive primary brain tumor encompassing both histological and molecular subtypes. Metabolites within the tumor microenvironment play critical roles in regulating tumor behavior and response to therapy. Understanding their spatial distribution provides valuable insights for diagnosis and treatment. We investigated metabolite patterns of histological GBMs (hist-GBMs) and molecular GBMs (mol-GBMs) by developing a novel MOF/MXene platform for enhanced surface-assisted laser desorption/ionization mass spectrometry. Utilizing this platform, we analyzed the metabolomes of three hist-GBMs and three mol-GBMs. Our platform exhibited exceptional sensitivity, repeatability, and stability in detecting metabolite molecules. Analysis of the metabolomes revealed distinct spatial distributions and concentrations of various metabolites, including carbohydrates, amino acids, organic acids, nucleotides, and their precursors. Notably, certain metabolites such as TG(15:0/20:3n6/20:5(5Z,8Z,11Z,14Z,17Z)), PG(20:3(6,8,11)-OH(5)/i-21:0), and SM(d20:1/20:3(6,8,11)-OH(5)) were significantly enriched in hist-GBMs compared to mol-GBMs, while others, including lithocholic acid glycine conjugate, PE(P-16:0/14:1(9Z)), and CE(11:1D5), exhibited higher peak intensity in mol-GBMs. Overall, our findings underscore the existence of unique metabolomic signatures distinguishing hist-GBMs from mol-GBMs. In conclusion, heterogeneous metabolite distributions among hist-GBMs and mol-GBMs were revealed by our novel MOF/MXene assisted LDI-MSI platform, and unique metabolic signatures were identified. Advanced metabolomics analysis holds promise for precise biomedical diagnostics and individualized therapeutic strategies in GBMs.