Evidence map›Paper›PMID 35838338›Full record

ArticleMolecular oncology2022

Elucidating tumour-associated microglia/macrophage diversity along glioblastoma progression and under ACOD1 deficiency.

Yolanda Pires-Afonso, Arnaud Muller, Kamil Grzyb, Anaïs Oudin, Yahaya A Yabo, Carole Sousa, Andrea Scafidi, Aurélie Poli, Antonio Cosma, Rashi Halder and 5 more

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

19 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  3. Inflammasomes in glioblastoma.Journal of neuroinflammation · 2026
    Review
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  18. Microglia and Brain Macrophages as Drivers of Glioma Progression.International journal of molecular sciences · 2022
    Review
  19. Article
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

15 authors at 2 institutions in 3 countries.

Yolanda Pires-AfonsoNeuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg.
Arnaud MullerQuantitative Biology Unit, Bioinformatics Platform, Luxembourg Institute of Health, Luxembourg.
Kamil GrzybLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Anaïs OudinNORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg.
Yahaya A YaboDoctoral School of Science and Technology, University of Luxembourg, Esch-sur-Alzette, Luxembourg.
Carole SousaNeuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg.ORCID 0000-0002-8707-8796
Andrea ScafidiNeuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg.
Aurélie PoliNeuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg.
Antonio CosmaQuantitative Biology Unit, National Cytometry Platform, Luxembourg Institute of Health, Luxembourg.
Rashi HalderLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Djalil CoowarLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Anna GolebiewskaNORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg.
Alexander SkupinLuxembourg Centre for Systems Biomedicine, University of Luxembourg, Esch-Belval, Luxembourg.
Simone P NiclouNORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg.ORCID 0000-0002-3417-9534
Alessandro MichelucciNeuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg.ORCID 0000-0003-1230-061X
Luxembourg Institute of Health · LUUniversity of Luxembourg · LU

Funding

National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
NIGMS NIH HHS P41 GM103426
6 · The paper itself

Abstract

In glioblastoma (GBM), tumour-associated microglia/macrophages (TAMs) represent the major cell type of the stromal compartment and contribute to tumour immune escape mechanisms. Thus, targeting TAMs is emerging as a promising strategy for immunotherapy. However, TAM heterogeneity and metabolic adaptation along GBM progression represent critical features for the design of effective TAM-targeted therapies. Here, we comprehensively study the cellular and molecular changes of TAMs in the GL261 GBM mouse model, combining single-cell RNA-sequencing with flow cytometry and immunohistological analyses along GBM progression and in the absence of Acod1 (also known as Irg1), a key gene involved in the metabolic reprogramming of macrophages towards an anti-inflammatory phenotype. Similarly to patients, we identify distinct TAM profiles, mainly based on their ontogeny, that reiterate the idea that microglia- and macrophage-like cells show key transcriptional differences and dynamically adapt along GBM stages. Notably, we uncover decreased antigen-presenting cell features and immune reactivity in TAMs along tumour progression that are instead enhanced in Acod1-deficient mice. Overall, our results provide insight into TAM heterogeneity and highlight a novel role for Acod1 in TAM adaptation during GBM progression.

Indexed as

Brain NeoplasmsGlioblastomaAnimalsImmunotherapyMacrophagesMiceMicrogliaTumor MicroenvironmentACOD1/IRG1glioblastomaheterogeneitymetabolic reprogrammingsingle-cell RNA-sequencingtumour-associated microglia/macrophages

Identifiers

PMID35838338
PMCPMC9441003
OpenAlexW4285593191

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.