Evidence mapPaperPMID 36834608Full record

ArticleInternational journal of molecular sciences2023

Heterogeneity of Amino Acid Profiles of Proneural and Mesenchymal Brain-Tumor Initiating Cells.

Corinna Seliger, Lisa Rauer, Anne-Louise Wüster, Sylvia Moeckel, Verena Leidgens, Birgit Jachnik, Laura-Marie Ammer, Simon Heckscher, Katja Dettmer, Markus J Riemenschneider and 4 more

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

14 authors at 4 institutions in 1 country.

Corinna SeligerDepartment of Neurology, University Hospital Heidelberg, 69120 Heidelberg, Germany.
Lisa RauerDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, 93053 Regensburg, Germany.ORCID 0000-0003-2687-6361
Anne-Louise WüsterDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, 93053 Regensburg, Germany.ORCID 0000-0002-3392-8759
Sylvia MoeckelDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, 93053 Regensburg, Germany.
Verena LeidgensDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, 93053 Regensburg, Germany.
Birgit JachnikDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, 93053 Regensburg, Germany.
Laura-Marie AmmerDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, 93053 Regensburg, Germany.
Simon HeckscherInstitute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany.
Katja DettmerInstitute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany.ORCID 0000-0001-7337-2380
Markus J RiemenschneiderDepartment of Neuropathology, University Hospital Regensburg, 93053 Regensburg, Germany.
Peter J OefnerInstitute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany.
Martin ProescholdtDepartment of Neurosurgery, University Hospital Regensburg, 93053 Regensburg, Germany.
Arabel Vollmann-ZwerenzDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, 93053 Regensburg, Germany.
Peter HauDepartment of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, 93053 Regensburg, Germany.ORCID 0000-0003-3894-5053
University Hospital Regensburg · DEUniversity of Regensburg · DEHeidelberg University · DEUniversity Medical Center Freiburg · DE

Funding

Deutsche Forschungsgemeinschaft KFO-262-P10Wilhelm Sander Stiftung 2009.800.1/2
6 · The paper itself

Abstract

Glioblastomas are highly malignant brain tumors that derive from brain-tumor-initiating cells (BTICs) and can be subdivided into several molecular subtypes. Metformin is an antidiabetic drug currently under investigation as a potential antineoplastic agent. The effects of metformin on glucose metabolism have been extensively studied, but there are only few data on amino acid metabolism. We investigated the basic amino acid profiles of proneural and mesenchymal BTICs to explore a potential distinct utilization and biosynthesis in these subgroups. We further measured extracellular amino acid concentrations of different BTICs at baseline and after treatment with metformin. Effects of metformin on apoptosis and autophagy were determined using Western Blot, annexin V/7-AAD FACS-analyses and a vector containing the human LC3B gene fused to green fluorescent protein. The effects of metformin on BTICs were challenged in an orthotopic BTIC model. The investigated proneural BTICs showed increased activity of the serine and glycine pathway, whereas mesenchymal BTICs in our study preferably metabolized aspartate and glutamate. Metformin treatment led to increased autophagy and strong inhibition of carbon flux from glucose to amino acids in all subtypes. However, oral treatment with metformin at tolerable doses did not significantly inhibit tumor growth in vivo. In conclusion, we found distinct amino acid profiles of proneural and mesenchymal BTICs, and inhibitory effects of metformin on BTICs in vitro. However, further studies are warranted to better understand potential resistance mechanisms against metformin in vivo.

Indexed as

Brain NeoplasmsGlioblastomaMetforminAmino AcidsBrainCell Line, TumorCell ProliferationHumansNeoplastic Stem CellsAmino AcidsMetformingliomametabolismmetforminproneural and mesenchymal brain-tumor-initiating cells

Identifiers

PMID36834608
PMCPMC9962848
OpenAlexW4319316304

What Socratic holds

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Registered trials

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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 Socratic graph.