ArticleScientific reports2020
3D DESI-MS lipid imaging in a xenograft model of glioblastoma: a proof of principle.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 27 citations in OpenAlex.
- Intraoperative Mass Spectrometry in Oncology: Technologies, Clinical Applications, and Challenges.Molecules (Basel, Switzerland) · 2026Review
- Ambient ionization mass spectrometry in brain cancer diagnosis.Journal of mass spectrometry and advances in the clinical lab · 2025Review
- Progress in monitoring molecular, cellular and metabolic dynamics using mass spectrometry imaging.Bioanalysis · 2025Review
- Tumor-Promoted Changes in Pediatric Brain Histology Can Be Distinguished from Normal Parenchyma by Desorption Electrospray Ionization Mass Spectrometry Imaging.Biomedicines · 2024Article
- Recent Analytical Methodologies in Lipid Analysis.International journal of molecular sciences · 2024Review
- Metabolic heterogeneity in cancer.Nature metabolism · 2024Review
- Highlighted Advances in Therapies for Difficult-To-Treat Brain Tumours Such as Glioblastoma.Pharmaceutics · 2023Review
- Perspective: Mass Spectrometry Imaging - The Next 5 Years.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Mass spectrometry imaging discriminates glioblastoma tumor cell subpopulations and different microvascular formations based on their lipid profiles.Scientific reports · 2022Article
- Novel technical developments in mass spectrometry imaging in 2020: A mini review.Analytical science advances · 2021Review
- Potential impact of tissue molecular heterogeneity on ambient mass spectrometry profiles: a note of caution in choosing the right disease model.Analytical and bioanalytical chemistry · 2021Review
- Accurate and confident prediction of electron beam longitudinal properties using spectral virtual diagnostics.Scientific reports · 2021Article
Corrections and comments
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Authors and funding
10 authors at 4 institutions in 1 country.
Funding
Abstract
Desorption electrospray ionisation mass spectrometry (DESI-MS) can image hundreds of molecules in a 2D tissue section, making it an ideal tool for mapping tumour heterogeneity. Tumour lipid metabolism has gained increasing attention over the past decade; and here, lipid heterogeneity has been visualised in a glioblastoma xenograft tumour using 3D DESI-MS imaging. The use of an automatic slide loader automates 3D imaging for high sample-throughput. Glioblastomas are highly aggressive primary brain tumours, which display heterogeneous characteristics and are resistant to chemotherapy and radiotherapy. It is therefore important to understand biochemical contributions to their heterogeneity, which may be contributing to treatment resistance. Adjacent sections to those used for DESI-MS imaging were used for H&E staining and immunofluorescence to identify different histological regions, and areas of hypoxia. Comparing DESI-MS imaging with biological staining allowed association of different lipid species with hypoxic and viable tissue within the tumour, and hence mapping of molecularly different tumour regions in 3D space. This work highlights that lipids are playing an important role in the heterogeneity of this xenograft tumour model, and DESI-MS imaging can be used for lipid 3D imaging in an automated fashion to reveal heterogeneity, which is not apparent in H&E stains alone.
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Registered trials
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