What type of study is this?

This is a Experimental Study study.

October 5, 2025Open Access

P03.14.a Beyond Conventional Pathology: Adding an Extra Layer of Insight With Nadh-Flim to Reveal Hidden Metabolic Profiles in Glioblastoma

Key Points

NADH-FLIM mapping reveals distinct metabolic states in glioblastoma tumor structures, enhancing diagnostic accuracy.
Distinct NADH lifetime signatures correlate with metabolic processes, such as glycolysis and oxidative phosphorylation.
Application of NADH-FLIM to tumor sections shows promise for identifying metabolically unique tumor subpopulations.
FLIM highlights metabolic behaviors linked to genetic changes like FGFR3 overexpression and IDH1 mutations, aiding personalized therapy.

Abstract

Abstract BACKGROUND Glioblastoma is one of the most aggressive brain cancers, marked by rapid progression and resistance to treatment. Its cellular heterogeneity and invasive nature make it particularly hard to manage. New tools are needed to better understand its biology and improve diagnostics and therapies. NADH Fluorescence Lifetime Imaging Microscopy (NADH-FLIM) is a promising technique that reveals metabolic states by measuring NADH fluorescence lifetime: shorter lifetimes indicate glycolysis, while longer lifetimes are linked to oxidative phosphorylation (OXPHOS). This enables the identification of metabolic heterogeneity in tumor tissues. MATERIAL AND METHODS We applied NADH-FLIM to formalin-fixed paraffin-embedded (FFPE) glioblastoma sections to assess NADH lifetime distribution in key tumor structures recognized by pathologists: (1) palisading cells near necrosis, (2) microvascular proliferation, and (3) neuronal and perivascular satellitosis. Additionally, we analyzed tumor cells overexpressing FGFR3 or carrying the IDH1 mutation to study their specific metabolic profiles. RESULTS Each tumor structure showed a distinct NADH lifetime signature, reflecting different metabolic states. For example, microvascular proliferation displayed lifetimes consistent with OXPHOS, while the surrounding tumoral astrocytic areas showed profiles more consistent with glycolysis. FLIM also identified isolated tumor cells in regions appearing histologically normal, including areas of early invasion. In FGFR3-overexpressing and IDH1-mutant cells, FLIM highlighted unique metabolic behaviors associated with these genetic changes. CONCLUSION NADH-FLIM enables precise mapping of metabolic heterogeneity in glioblastoma, offering insights beyond conventional histology. It can detect metabolically distinct tumor subpopulations, aiding in diagnosis and potentially guiding personalized therapies. This technique represents a significant step forward in understanding glioblastoma biology.

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Cite This Study

Giacomarra et al. (Wed,) studied this question.

synapsesocial.com/papers/68e24e59d6d66a53c2472ed8 https://doi.org/https://doi.org/10.1093/neuonc/noaf193.173

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