ArticleMetabolomics : Official journal of the Metabolomic Society2024
Stable isotope-resolved metabolomics analyses of metabolic phenotypes reveal variable glutamine metabolism in different patient-derived models of non-small cell lung cancer from a single patient.
Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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Who cites it
3 citing papers in PubMed.
- Glutamine Metabolism in Health and Diseases.MedComm · 2026Review
- Conservation and divergence of metabolic phenotypes between patient tumours and matched xenografts.Nature metabolism · 2025Article
- Metabolomic profiling of childhood medulloblastoma: contributions and relevance to diagnosis and molecular subtyping.Journal of cancer research and clinical oncology · 2024Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
introductionStable isotope tracers have been increasingly used in preclinical cancer model systems, including cell culture and mouse xenografts, to probe the altered metabolism of a variety of cancers, such as accelerated glycolysis and glutaminolysis and generation of oncometabolites. Comparatively little has been reported on the fidelity of the different preclinical model systems in recapitulating the aberrant metabolism of tumors.
objectivesWe have been developing several different experimental model systems for systems biochemistry analyses of non-small cell lung cancer (NSCLC
methodsTo address the issue of fidelity, we have carried out a detailed Stable Isotope-Resolved Metabolomics study of freshly resected tissue slices, mouse patient derived xenografts (PDXs), and cells derived from a single patient using both
resultsAlthough we found similar glucose metabolism in the three models, glutamine utilization was markedly higher in the isolated cell culture and in cell culture-derived xenografts compared with the primary cancer tissue or direct tissue xenografts (PDX).
conclusionsThis suggests that caution is needed in interpreting cancer biochemistry using patient-derived cancer cells in vitro or in xenografts, even at very early passage, and that direct analysis of patient derived tissue slices provides the optimal model for ex vivo metabolomics. Further research is needed to determine the generality of these observations.
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