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Circulating immune profiling reveals impaired monocyte states and trajectories driving immunosuppression in glioblastoma.

Overview

Authors: Andrea Scafidi1,2, Tony Kaoma3, Claudia Cerella1, Eleonora Campus1,2, Kamil Grzyb4, Bakhtiyor Nosirov5,6, Frida Lind-Holm Mogensen1,2, Eliane Klein5, Raul Da Costa7, Alexander Skupin4,8,9, Frank Hertel10, Guy Berchem10, Michel Mittelbronn2,11,12, Antonio Cosma7, Beatrice Melin13, Simone P. Niclou2,5, Petr V. Nazarov3,6, Anna Golebiewska5, Aurélie Poli1, Alessandro Michelucci1
13 affiliations
  1. Neuro-Immunology Group, Department of Cancer Research, Luxembourg Institute of Health,6A, Rue Nicolas-Ernest Barblé, Luxembourg, L-1210 Luxembourg
  2. Faculty of Science, Technology and Medicine, University of Luxembourg,Esch-Sur-Alzette, L-4365 Luxembourg
  3. Bioinformatics and AI, Department of Medical Informatics, Luxembourg Institute of Health,Strassen, L-1445 Luxembourg
  4. Integrative Cell Signaling Group, Luxembourg Centre for Systems Biomedicine, University of Luxembourg,Esch-Sur-Alzette, L-4362 Luxembourg
  5. NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health,Luxembourg, L-1210 Luxembourg
  6. Multiomics Data Science Group, Department of Cancer Research, Luxembourg Institute of Health,Strassen, L-1445 Luxembourg
  7. National Cytometry Platform, Translational Medicine Operation Hub, Luxembourg, Institute of Health,Esch-Sur-Alzette, L-4354 Luxembourg
  8. Department of Neuroscience, University of California San Diego,La Jolla, CA 92093 USA
  9. Integrative Biophysics, Department of Physics and Material Science, University of Luxembourg,Luxembourg, L-1511 Luxembourg
  10. Centre Hospitalier de Luxembourg,Luxembourg, L-1210 Luxembourg
  11. Division of Neuropathology, Department of Pathology and Neuropathology, Medical Faculty, University of Cologne,Cologne, 50937 Germany
  12. Department of Health, Medicine and Life Sciences, University of Luxembourg,Esch-sur-Alzette, L-4362 Luxembourg
  13. Department of Diagnostics and Intervention, Oncology, Umeå University,Umeå, 901 87 Sweden
Journal: Journal of neuroinflammation, volume 23, issue 1, article 306
Dates: received 7 April 2026; accepted 9 July 2026; published online 16 July 2026
Type: Research article · Language: English
License: CC BY
Identifiers: DOI 10.1186/s12974-026-03964-3 · PMID 42464264 · PMCID PMC13555986 · OpenAlex W7168795258
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: genetics / omics (modality), human (organism), other condition (population), clinical / translational (subfield)
Methods: Statistics, Smoothing, state filtering, decompositions, Machine learning, Preprocessing
Keywords: Glioblastoma, Monocytes, Tumour-associated macrophages, Myeloid cell trajectories, Lymphocytes, CyTOF, Single-cell RNA sequencing
MeSH: Brain Neoplasms*, Glioblastoma*, Monocytes*, Cohort Studies, Female, Humans, Male (* major topic)
Topic: Single-cell and spatial transcriptomics (Molecular Biology, Biochemistry, Genetics and Molecular Biology), according to OpenAlex
Funding: Fonds National de la Recherche Luxembourg (National Research Fund) (PRIDE21/16763386/CANBIO2, C21/BM/15739125/DIOMEDES, PRIDE/14254520/I2TRON, INTER/DFG/17/11583046, P16/BM/11192868, C24/BM/18858278/GRALL); FNRS (7.8513.18/7651720F)
Citations: not cited yet (Europe PMC); 72 references in the paper

Abstract

Background: Glioblastoma (GBM) is an aggressive and lethal brain tumor marked by profound local and systemic immune dysfunction. Despite evidence of peripheral immune impairment, the clinical relevance of these alterations for diagnostic or therapeutic purposes remains poorly defined.

Methods: We performed multimodal single-cell profiling of peripheral blood mononuclear cells from a single-center cohort of treatment-naïve GBM patients and healthy donors, integrating mass and flow cytometry with single-cell RNA-sequencing. Unsupervised clustering, pseudo-temporal trajectory analyses and cell–cell communication inference were applied to map immune states and their interactions.

Results: GBM blood profiles were characterized by heterogeneous changes in classical monocytes, encompassing expanded, reduced and unchanged subsets with distinct functional states, including antigen-presenting, interferon and metabolic programs. Additional myeloid adaptations included myeloid-derived suppressor cell (MDSC) expansion and loss of non-classical monocytes. Trajectory analyses identified a differentiation continuum, evolving from antigen-presenting to metabolic monocyte subsets, and positioning MDSCs as an intermediate state. Antigen‑presenting monocytes displayed tumor‑migratory, precursor‑like profiles that corresponded to tumor‑associated macrophages in public GBM datasets. Across subsets, circulating monocytes shared a “GBM-classical monocytic signature” characterized by low MHC class II expression, altered cell–cell communication and upregulation of anti-inflammatory mediators, including IL1R2 and CD163. Notably, complementary myeloid expression signatures were identified across patients, indicating distinct systemic immune phenotypes. In parallel, lymphocyte alterations included decreased proportions of CD4+ T, natural killer (NK) and CD56+ T cells, retaining relatively conserved activation profiles, exemplified by up-regulation of alarmins S100A8/S100A9.

Conclusions: These findings delineate systemic immune reprogramming in primary GBM, characterized by coordinated myeloid and lymphocyte alterations. The identification of circulating monocyte states with transcriptional continuity to the tumour microenvironment, alongside distinct patient-level systemic myeloid signatures, provides a framework for exploring peripheral blood as a source of immune biomarkers in GBM.

Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1186/s12974-026-03964-3.

Reproduced under the paper's license (CC BY), from the paper cited above.

Code

The paper links to its data, not to its authors' code: see the Data section.

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Data

Datasets cited

Data availability

The single-cell mass cytometry data has been deposited at Mendeley Data: Cerella, Claudia; Cosma, Antonio; Michelucci, Alessandro (2025), “Circulating immune profiling reveals impaired monocyte phenotypes and trajectories driving immunosuppression in glioblastoma”, Mendeley Data, V1, doi: 10.17632/gth6pct574.1 (https://doi.org/10.17632/gth6pct574.1) (https://data.mendeley.com/preview/gth6pct574?a=5ef7cf0e-9eab-4840-9985-5a61efe975e3). Flow cytometry data are available from the corresponding author on reasonable request. The single-cell RNA-sequencing data has been deposited at the European Genome-phenome Archive (EGA), which is hosted by the EBI and the CRG, under accession number EGAS00001008497. Further information about EGA can be found on (https://ega-archive.org) "The European Genome-phenome Archive in 2021" (https://academic.oup.com/nar/advance-article/doi/10.1093/nar/gkab1059/6430505).

Reproduced under the paper's license (CC BY), from the paper cited above.

Versions

The history of this record: each version stored by the harvester or made by a correction of its authors or of the maintainers of its code, and what changed in its facts. The texts of the paper (its abstract, its availability statements) are not part of it; versions that changed only those are not listed.

Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 20 authors, 7 keywords, 7 MeSH terms, 2 funders, 72 references.

Cite

This paper

Scafidi, A., Kaoma, T., Cerella, C., Campus, E., Grzyb, K., Nosirov, B., Lind-Holm Mogensen, F., Klein, E., Da Costa, R., Skupin, A., Hertel, F., Berchem, G., Mittelbronn, M., Cosma, A., Melin, B., Niclou, S. P., Nazarov, P. V., Golebiewska, A., Poli, A., & Michelucci, A. (2026). Circulating immune profiling reveals impaired monocyte states and trajectories driving immunosuppression in glioblastoma. Journal of neuroinflammation, 23(1), 306. https://doi.org/10.1186/s12974-026-03964-3

BibTeX

@article{scafidi2026circulating,
author = {Scafidi, Andrea and Kaoma, Tony and Cerella, Claudia and Campus, Eleonora and Grzyb, Kamil and Nosirov, Bakhtiyor and Lind-Holm Mogensen, Frida and Klein, Eliane and Da Costa, Raul and Skupin, Alexander and Hertel, Frank and Berchem, Guy and Mittelbronn, Michel and Cosma, Antonio and Melin, Beatrice and Niclou, Simone P. and Nazarov, Petr V. and Golebiewska, Anna and Poli, Aurélie and Michelucci, Alessandro},
title = {{Circulating immune profiling reveals impaired monocyte states and trajectories driving immunosuppression in glioblastoma}},
journal = {Journal of neuroinflammation},
year = {2026},
month = jul,
volume = {23},
number = {1},
pages = {306},
publisher = {BMC},
issn = {1742-2094},
doi = {10.1186/s12974-026-03964-3},
url = {https://doi.org/10.1186/s12974-026-03964-3},
pmid = {42464264},
pmcid = {PMC13555986}
}

RIS

TY - JOUR
AU - Scafidi, Andrea
AU - Kaoma, Tony
AU - Cerella, Claudia
AU - Campus, Eleonora
AU - Grzyb, Kamil
AU - Nosirov, Bakhtiyor
AU - Lind-Holm Mogensen, Frida
AU - Klein, Eliane
AU - Da Costa, Raul
AU - Skupin, Alexander
AU - Hertel, Frank
AU - Berchem, Guy
AU - Mittelbronn, Michel
AU - Cosma, Antonio
AU - Melin, Beatrice
AU - Niclou, Simone P.
AU - Nazarov, Petr V.
AU - Golebiewska, Anna
AU - Poli, Aurélie
AU - Michelucci, Alessandro
TI - Circulating immune profiling reveals impaired monocyte states and trajectories driving immunosuppression in glioblastoma
T2 - Journal of neuroinflammation
J2 - J Neuroinflammation
PY - 2026
DA - 2026/07/16
VL - 23
IS - 1
SP - 306
SN - 1742-2094
PB - BMC
DO - 10.1186/s12974-026-03964-3
UR - https://doi.org/10.1186/s12974-026-03964-3
LA - en
ER -

CSL-JSON

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