Cell-intrinsic metabolic phenotypes identified in glioblastoma patients using mass spectrometry imaging of 13C-labeled glucose metabolism

Transcriptomic studies attempted to classify glioblastoma (GB) into subtypes that predict survival and that have different therapeutic vulnerabilities1-3. Here we identified three metabolic subtypes: glycolytic, oxidative and a mixed glycolytic/oxidative by mass spectrometry imaging of rapidly excised tumour sections from two GB patients 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 vascularisation, 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 are 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.

Publication Details

Journal
Apollo (University of Cambridge)
Published
2025-04-15
DOI
https://doi.org/10.17863/cam.117434
Primary Topic
Accounting Theory and Financial Reporting
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cell-intrinsic metabolic phenotypes identified in glioblastoma patients using mass spectrometry imaging of 13C-labeled glucose metabolism

Apollo (University of Cambridge)
Accounting Theory and Financial Reporting
article

Cell-intrinsic metabolic phenotypes identified in glioblastoma patients using mass spectrometry imaging of 13C-labeled glucose metabolism

article en

Abstract

Transcriptomic studies attempted to classify glioblastoma (GB) into subtypes that predict survival and that have different therapeutic vulnerabilities1-3. Here we identified three metabolic subtypes: glycolytic, oxidative and a mixed glycolytic/oxidative by mass spectrometry imaging of rapidly excised tumour sections from two GB patients 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 vascularisation, 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 are 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.

Apollo (University of Cambridge)
Openalex Percentile: Top 40%
Accounting Theory and Financial Reporting
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cell-intrinsic metabolic phenotypes identified in glioblastoma patients using mass spectrometry imaging of 13C-labeled glucose metabolism · Apollo (University of Cambridge) (2025) | TGRS Research Map | TGRS