kth.sePublications KTH
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Cell-intrinsic metabolic phenotypes identified in patients with glioblastoma, using mass spectrometry imaging of 13C-labelled glucose metabolism
Univ Cambridge, Canc Res UK Cambridge Inst, Cambridge, England.
AstraZeneca, Integrated BioAnal Clin Pharmacol & Safety Sci R&D, Cambridge, England.
AstraZeneca, Integrated BioAnal Clin Pharmacol & Safety Sci R&D, Cambridge, England.
Univ Cambridge, Canc Res UK Cambridge Inst, Cambridge, England.
Show others and affiliations
2025 (English)In: Nature Metabolism, E-ISSN 2522-5812, Vol. 7, no 5Article in journal (Refereed) Published
Abstract [en]

Transcriptomic studies have attempted to classify glioblastoma (GB) into subtypes that predict survival and have different therapeutic vulnerabilities1, 2-3. Here we identified three metabolic subtypes: glycolytic, oxidative and a mix of glycolytic and oxidative, using mass spectrometry imaging of rapidly excised tumour sections from two patients with GB who were infused with [U-13C]glucose and from spatial transcriptomic analysis of contiguous sections. The phenotypes are not correlated with microenvironmental features, including proliferation rate, immune cell infiltration and vascularization, are retained when patient-derived cells are grown in vitro or as orthotopically implanted xenografts and are robust to changes in oxygen concentration, demonstrating their cell-intrinsic nature. The spatial extent of the regions occupied by cells displaying these distinct metabolic phenotypes is large enough to be detected using clinically applicable metabolic imaging techniques. A limitation of the study is that it is based on only two patient tumours, albeit on multiple sections, and therefore represents a proof-of-concept study.

Place, publisher, year, edition, pages
Springer Nature , 2025. Vol. 7, no 5
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:kth:diva-365951DOI: 10.1038/s42255-025-01293-yISI: 001490583900001PubMedID: 40389678Scopus ID: 2-s2.0-105005945919OAI: oai:DiVA.org:kth-365951DiVA, id: diva2:1981073
Note

QC 20250703

Available from: 2025-07-03 Created: 2025-07-03 Last updated: 2025-07-03Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Franzén, Lovisa

Search in DiVA

By author/editor
Franzén, Lovisa
By organisation
Gene TechnologyScience for Life Laboratory, SciLifeLab
In the same journal
Nature Metabolism
Cancer and Oncology

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 54 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf