1H NMR Metabolomics Analysis of Glioblastoma Subtypes

• Published in: The Journal of biological chemistry 2012-06, Vol.287 (24), p.20164-20175
• Main Authors: Cuperlovic-Culf, Miroslava, Ferguson, Dean, Culf, Adrian, Morin, Pier, Touaibia, Mohamed
• Format: Article
• Language: English
• Subjects: Bioinformatics; Glioblastoma; Metabolomics; Transcriptomics; Tumor Metabolism
• ISSN: 0021-9258; 1083-351X
• DOI: 10.1074/jbc.M111.337196

Glioblastoma multiforme (GBM) is the most common form of malignant glioma, characterized by unpredictable clinical behaviors that suggest distinct molecular subtypes. With the tumor metabolic phenotype being one of the hallmarks of cancer, we have set upon to investigate whether GBMs show differences in their metabolic profiles. 1H NMR analysis was performed on metabolite extracts from a selection of nine glioblastoma cell lines. Analysis was performed directly on spectral data and on relative concentrations of metabolites obtained from spectra using a multivariate regression method developed in this work. Both qualitative and quantitative sample clustering have shown that cell lines can be divided into four groups for which the most significantly different metabolites have been determined. Analysis shows that some of the major cancer metabolic markers (such as choline, lactate, and glutamine) have significantly dissimilar concentrations in different GBM groups. The obtained lists of metabolic markers for subgroups were correlated with gene expression data for the same cell lines. Metabolic analysis generally agrees with gene expression measurements, and in several cases, we have shown in detail how the metabolic results can be correlated with the analysis of gene expression. Combined gene expression and metabolomics analysis have shown differential expression of transporters of metabolic markers in these cells as well as some of the major metabolic pathways leading to accumulation of metabolites. Obtained lists of marker metabolites can be leveraged for subtype determination in glioblastomas. Unpredictable clinical behavior of glioblastoma multiforme suggests distinct molecular subtypes. Metabolic profiles of different glioblastoma lines indicate distinct subtypes correlated with gene expression differences. A subset of metabolites can be used to distinguish between four subtypes of glioblastomas. Metabolic profiling of cancers provides a way for subtype determination with possible diagnostic and prognostic applications.