Abstract
Abstract BACKGROUND Gliomas with isocitrate dehydrogenase (IDH) mutations in adults evolve from lower-grade gliomas to secondary glioblastomas (GBM), a fatal disease with fast progression. IDH mutation occurs early in tumorigenesis, and persistently contribute to the reprograming of glucose, lipid and amino acid metabolism. This offer a plethora of potential biomarkers of progression. However, because it is extremely difficult to detect the distribution and transfer of metabolites changing in every moment in a single cell, the involvement of metabolites produced by mutant IDH in malignant progression remains understudied. MATERIALS AND METHODS Raman imaging spectroscopy, which can image chemical bonds and concentration of molecules at submicron spatial resolution, enables detection of spatiotemporal changes of metabolomes in live cells. We developed the software called Biomolecular Component Analysis (BCAbox) to deconvolute the recorded raw Raman spectra, leading to detection of unique spectral features of different classes of biomolecules. RESULTS AND CONCLUSIONS We applied Raman imaging spectroscopy to GBM cell lines that were transfected with IDH1 mutant gene. Our results indicated that lipid metabolism has a unique profile in IDH1 mutant gliomas. Subsequent mass spectrometry analysis of extracted organelle revealed the exact classes of lipids altered in the IDH mutant glioma and suggested biomarkers unique to IDH1 mutant. We will report our validation studies of the biomarkers in patient-derived IDH mutant glioma cell lines and patients derived-orthotopic xenograft mouse models with different degrees of aggressiveness and in matched primary versus recurrent gliomas. The results of the present study may provide novel insights into the discovery of metabolic biomarkers for the malignant progression in IDH mutant gliomas.
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