ArticleThe Journal of biological chemistry2012
1H NMR metabolomics analysis of glioblastoma subtypes: correlation between metabolomics and gene expression characteristics.
Article in The Journal of biological chemistry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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Who cites it
44 citing papers in PubMed.
- NMR-Based Metabolomic Profiling for Brain Cancer Diagnosis and Treatment Guidance.Metabolites · 2025Review
- Glioblastoma metabolomics: uncovering biomarkers for diagnosis, prognosis and targeted therapy.Journal of experimental & clinical cancer research : CR · 2025Review
- Metabolic checkpoints in glioblastomas: targets for new therapies and non-invasive detection.Frontiers in oncology · 2024Review
- Untangling the web of glioblastoma treatment resistance using a multi-omic and multidisciplinary approach.The American journal of the medical sciences · 2023Review
- A comparison of different machine-learning techniques for the selection of a panel of metabolites allowing early detection of brain tumors.Scientific reports · 2023Article
- Tissue and plasma free amino acid detection by LC-MS/MS method in high grade glioma patients.Journal of neuro-oncology · 2023Article
- Regulative Roles of Metabolic Plasticity Caused by Mitochondrial Oxidative Phosphorylation and Glycolysis on the Initiation and Progression of Tumorigenesis.International journal of molecular sciences · 2023Review
- Bioenergetic Profiling in Glioblastoma Multiforme Patients with Different Clinical Outcomes.Metabolites · 2023Article
- NMR-Based Metabolomics to Evaluate Individual Response to Treatments.Handbook of experimental pharmacology · 2023Article
- Lipid Alterations in Glioma: A Systematic Review.Metabolites · 2022Review
- Metabolomics and computational analysis of the role of monoamine oxidase activity in delirium and SARS-COV-2 infection.Scientific reports · 2021Article
- Glioblastoma Metabolomics-In Vitro Studies.Metabolites · 2021Review
- NMR-Based Metabolomics Analysis Predicts Response to Neoadjuvant Chemotherapy for Triple-Negative Breast Cancer.Frontiers in molecular biosciences · 2021Article
- NMR analysis of the correlation of metabolic changes in blood and cerebrospinal fluid in Alzheimer model male and female mice.PloS one · 2021Article
- Plasma amino acids indicate glioblastoma with ATRX loss.Amino acids · 2021Article
- DNA CpG methylation in sequential glioblastoma specimens.Journal of cancer research and clinical oncology · 2020Article
- Role of Glutathione in Cancer: From Mechanisms to Therapies.Biomolecules · 2020Review
- Evaluating line-broadening factors on a reference spectrum as a bucketing method for NMR based metabolomics.Analytical biochemistry · 2020Article
- A multi-omic analysis of birthweight in newborn cord blood reveals new underlying mechanisms related to cholesterol metabolism.Metabolism: clinical and experimental · 2020Article
- Boron neutron capture therapy: Current status and future perspectives.Cancer communications (London, England) · 2020Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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. (1)H 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.
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