Evidence map›Paper›PMID 41686219›Full record

ArticleEuropean journal of nuclear medicine and molecular imaging2026

Tracking macrophages by direct and indirect

Vittorio De Santis, Renee Flaherty, Arshiya Banu, Paul Gape, Sophie Langdon, Alex Rigby, Aishwarya Mishra, George Firth, Truc T Pham, Amaia Carrascal-Miniño and 7 more

Abstract read
In one paragraph

Article in European journal of nuclear medicine and molecular imaging, 2026. 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
–field-weighted citation impact
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

17 authors.

Vittorio De Santis *Department of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Renee Flaherty *Department of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Arshiya BanuDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Paul GapeDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Sophie LangdonDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Alex RigbyDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Aishwarya MishraDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
George FirthDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Truc T PhamDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Amaia Carrascal-MiniñoDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Jana KimDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Kavitha SunasseeDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Matthew ClevelandGSK Medicines Research Centre, Gunnels Wood Road, Stevenage, Hertfordshire, SG1 2NY, UK.
Rafael T M De RosalesDepartment of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Timothy H Witney *Department of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Michelle T Ma *Department of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK.
Samantha Y A Terry *Department of Imaging Chemistry and Biology, School of Biomedical Engineering and Imaging Sciences, King's College London, London, SE1 7EH, UK. samantha.terry@kcl.ac.uk.ORCID 0000-0002-6497-6681

Funding

Cancer Research UK C63178/A24959Cancer Research UK C7893/A28990Engineering and Physical Sciences Research Council EP/L015226/1Engineering and Physical Sciences Research Council EP/S032789/1Medical Research Council MR/X00841X/1Wellcome Trust WT084052/Z/07/ZWellcome Trust WT203148/Z/16/ZWellcome Trust WT212885/Z/18/ZWellcome Trust WT220221/Z/20/Z
6 · The paper itself

Abstract

purposeTumour-associated macrophages are highly abundant in the tumour microenvironment, and their levels influence tumour progression and therapy response. Tracking macrophages by positron-emission tomography (PET) can yield critical information on the dynamics of macrophage infiltration, particularly in diseases such as breast cancer, in which tumour-associated macrophages are significant in the evolution of the tumour microenvironment.

methodsTwo complementary PET imaging methods were used to track macrophages. The first method used a novel [89Zr]Zr-labelled antibody that targets the murine F4/80 receptor, which is located on the cell surface of in situ macrophages. [89Zr]Zr-DFO-anti-F4/80 and a non-specific [89Zr]Zr-labelled control antibody were developed and characterised for their specificity. The second method involved directly labelling mouse-derived macrophages with [89Zr]Zr-oxine, and the effect of [89Zr]Zr-radiolabelling on macrophage viability and phenotype was evaluated. Using PET imaging and ex vivo tissue counting, the in vivo biodistribution of [89Zr]Zr-DFO-anti-F4/80 and [89Zr]Zr-labelled murine macrophages was quantified in female BALB/c mice bearing syngeneic, orthotopic 4T1 breast cancer tumours.

results[89Zr]Zr-DFO-anti-F4/80 showed target-specific uptake in vitro. At a dose of 100 μg DFO-anti-F4/80 per mouse, [89Zr]Zr-DFO-anti-F4/80 enabled visualization of tumour-resident macrophages by PET/CT with high contrast. This was not observed for non-specific [89Zr]Zr-DFO-IgG2b. PET/CT imaging showed that intravenously administered [89Zr]Zr-labelled M0 macrophages migrated to the liver and spleen, with a proportion of macrophages trafficking to the tumour. [89Zr]Zr-oxine labelling did not affect macrophage viability nor phenotype, even at an absorbed radiation dose of 3.31 Gy.

conclusionFor the first time, we have applied and compared two complementary PET/CT imaging strategies to quantify the infiltration of macrophages in an orthotopic, syngeneic murine model of breast cancer. First, PET/CT imaging using an “indirect” cell tracking approach with a new [89Zr]Zr-DFO-anti-F4/80 antibody radiotracer showed that resident tumour-associated macrophages are abundant in this syngeneic breast cancer model. Second, PET/CT imaging using [89Zr]Zr-labelled M0 macrophages showed that macrophages in the blood pool migrate to the tumour, within 24 h. These tools have utility in quantifying macrophage distribution and migration in cancer, particularly in the context of new and existing therapies in which macrophage populations are perturbed.

Indexed as

Cell TrackingMacrophagesPositron-Emission TomographyRadioisotopesZirconiumAnimalsFemaleMiceMice, Inbred BALB CTissue DistributionRadioisotopesZirconiumZirconium-89Cell trackingF4/80MacrophagesOxinePositron emission tomography

Identifiers

PMID41686219
PMCPMC13121358

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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.