MassIVE MSV000096560

Partial Public

Steroid-dependent metabolic rewiring reveals novel therapeutic and imaging approaches for glioblastoma

Description

Steroid anti-inflammatory drugs, such as dexamethasone are routinely used to manage brain tumour-associated oedema, yet their impact on brain tumour metabolism remained largely unexplored. Here, a metabolomic screen in naive glioblastoma cells treated with dexamethasone revealed the accumulation of N1-methylnicotinamide, a product of N-methyltransferase (NNMT), through the activation of the glucocorticoid receptor. Using stable isotope-assisted metabolomics in glioblastoma patients we showed that nicotinamide flux into N1-methylnicotinamide exceeds that into NAD+, leading to a ~7 fold accumulation of N1-methylnicotinamide in tumour compared to surrounding brain tissue. In orthotopic mouse models, NNMT activity was enhanced by dexamethasone selectively in glioblastoma tumours but not in the contralateral brain. Leveraging the tumour-specific activity of NNMT and the NNMT-dependent trapping of nicotinamide, we developed a novel 11C-nicotinamide-based positron emission tomography (PET) approach to visualize glioblastoma tumours in vivo. Furthermore, our findings demonstrate that the dexamethasone-induced methionine-dependent methylation of nicotinamide becomes detrimental for glioblastoma growth when combined with a methionine-restricted diet. These results show that steroids rewire methionine and nicotinamide metabolism, enabling the development of innovative PET imaging and metabolic therapies for glioblastoma patients. [doi:10.25345/C57M04C1Z] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: glioblastoma ; metabolomics ; steroids ; nicotinamide ; DatasetType:Metabolomics

Contact

Principal Investigators:
(in alphabetical order)
David Sumpton, CRUK Scotland Insititue, United Kingdom
Maria Francesca Allega, CRUK Scotland Insititue, United Kingdom
Saverio Tardito, CRUK Scotland Insititue, United Kingdom
Submitting User: dsumpton
Number of Files:
Total Size:
Spectra:
Subscribers:
 
Owner Reanalyses
Experimental Design
    Conditions:
    Biological Replicates:
    Technical Replicates:
 
Identification Results
    Proteins (Human, Remapped):
    Proteins (Reported):
    Peptides:
    Variant Peptides:
    PSMs:
 
Quantification Results
    Differential Proteins:
    Quantified Proteins:
 
Browse Dataset Files
 
FTP Download Link (click to copy):

- Dataset Reanalyses


+ Dataset History


Click here to queue conversion of this dataset's submitted spectrum files to open formats (e.g. mzML). This process may take some time.

When complete, the converted files will be available in the "ccms_peak" subdirectory of the dataset's FTP space (accessible via the "FTP Download" link to the right).
Number of distinct conditions across all analyses (original submission and reanalyses) associated with this dataset.

Distinct condition labels are counted across all files submitted in the "Metadata" category having a "Condition" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct biological replicates across all analyses (original submission and reanalyses) associated with this dataset.

Distinct replicate labels are counted across all files submitted in the "Metadata" category having a "BioReplicate" or "Replicate" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct technical replicates across all analyses (original submission and reanalyses) associated with this dataset.

The technical replicate count is defined as the maximum number of times any one distinct combination of condition and biological replicate was analyzed across all files submitted in the "Metadata" category. In the case of fractionated experiments, only the first fraction is considered.

"N/A" means no results of this type were submitted.
Originally identified proteins that were automatically remapped by MassIVE to proteins in the SwissProt human reference database.

"N/A" means no results of this type were submitted.
Number of distinct protein accessions reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct unmodified peptide sequences reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct peptide sequences (including modified variants or peptidoforms) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Total number of peptide-spectrum matches (i.e. spectrum identifications) reported across all analyses (original submission and reanalyses) associated with this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins quantified across all analyses (original submission and reanalyses) associated with this dataset.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

A protein is differentially abundant if its change in abundance across conditions is found to be statistically significant with an adjusted p-value <= 0.05 and lists no issues associated with statistical tests for differential abundance.

Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

"N/A" means no results of this type were submitted.
This dataset may not contain all raw spectra data as originally deposited in PRIDE. It has been imported to MassIVE for reanalysis purposes, so its spectra data here may consist solely of processed peak lists suitable for reanalysis with most software.