Evidence map›Paper›PMID 40497651›Full record

ArticleAnalytical chemistry2025

Application of a Multiomics Imaging Workflow to Explore Asparlas Treatment in Solid Tumors.

Laura van der Vloet, Ronny Mohren, Christophe Bouillod, Ron M A Heeren, Michiel Vandenbosch, Pierre Barbier Saint Hilaire

Abstract read
In one paragraph

Article in Analytical chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Laura van der VloetThe Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, Maastricht 6229 ER, Netherlands.
Ronny MohrenThe Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, Maastricht 6229 ER, Netherlands.
Christophe BouillodInstitut de Recherche et Développement SERVIER, 22 route 128, Gif-sur-Yvette, Paris-Saclay 91190, France.
Ron M A HeerenThe Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, Maastricht 6229 ER, Netherlands.ORCID 0000-0002-6533-7179
Michiel VandenboschThe Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University, Maastricht 6229 ER, Netherlands.ORCID 0000-0002-0427-416X
Pierre Barbier Saint HilaireInstitut de Recherche et Développement SERVIER, 22 route 128, Gif-sur-Yvette, Paris-Saclay 91190, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In acute lymphoblastic leukemia (ALL), hypermethylation of the asparagine synthetase (ASNS) gene promoter, leading to low levels of ASNS in tumor cells, is recognized as a prognostic biomarker, and l-asparaginase-based treatments (e.g., Asparlas) are frequently administered to these patients. In these cancers, tumor cells rely on external asparagine, and its depletion in the bloodstream results in tumor cell apoptosis. A multiomics (imaging) workflow is required to evaluate key molecular changes and characterize solid tumors to explore the potential efficacy of Asparlas in solid tumors. This study introduces a multiomics imaging workflow applicable to solid tumor specimens for the comprehensive molecular profiling of Asparlas treatment effects. The workflow integrates matrix-assisted laser desorption-ionization mass spectrometry imaging (MALDI-MSI), liquid chromatography coupled with high-resolution mass spectrometry, and histopathological staining on consecutive tumor tissue sections. It enables the detection and analysis of metabolites, lipids, and proteins. Tumor characterization was achieved through histology and clustering analysis based on lipid signatures, yielding consistent annotations. On-tissue chemical derivatization followed by MALDI-MSI was performed to assess metabolic alterations, with a focus on amino acids. ASNS distribution was mapped utilizing targeted MALDI-immunohistochemistry, followed by untargeted (spatial) proteomics on adjacent tissue sections. This study established a multiomics imaging approach and demonstrated its applicability in elucidating the metabolic changes in tumor tissue consequent to Asparlas treatment. Furthermore, it highlights the added value of multiomics imaging in pharmaceutical research and development.

Indexed as

Antineoplastic AgentsAsparaginasePrecursor Cell Lymphoblastic Leukemia-LymphomaChromatography, LiquidHumansMultiomicsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationWorkflowAntineoplastic AgentsAsparaginase

Identifiers

PMID40497651
PMCPMC12199225

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.