Evidence map›Paper›PMID 38622132›Full record

ArticleNature communications2024

Microenvironmental reorganization in brain tumors following radiotherapy and recurrence revealed by hyperplexed immunofluorescence imaging.

Spencer S Watson, Benoit Duc, Ziqi Kang, Axel de Tonnac, Nils Eling, Laure Font, Tristan Whitmarsh, Matteo Massara, iMAXT Consortium, Bernd Bodenmiller and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
20.6field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 47 citations in OpenAlex.

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  12. Neuron-glioma synaptic transmission amplified by free 19S proteasome-mediated AMPAR deubiquitination promotes tumor progression.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2026
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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

12 authors at 6 institutions in 3 countries.

Spencer S WatsonDepartment of Oncology, University of Lausanne, Lausanne, Switzerland. drspencerwatson@gmail.com.
Benoit DucDepartment of Oncology, University of Lausanne, Lausanne, Switzerland.
Ziqi KangDepartment of Cellular and Molecular Biology, Karolinska Institutet and SciLifeLab, Stockholm, Sweden.ORCID http://orcid.org/0009-0003-2084-610X
Axel de TonnacDepartment of Cellular and Molecular Biology, Karolinska Institutet and SciLifeLab, Stockholm, Sweden.
Nils ElingDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-4711-1176
Laure FontDepartment of Oncology, University of Lausanne, Lausanne, Switzerland.ORCID http://orcid.org/0009-0006-6648-7175
Tristan WhitmarshMachine Intelligence Laboratory, Department of Engineering, University of Cambridge, Cambridge, UK.
Matteo MassaraDepartment of Oncology, University of Lausanne, Lausanne, Switzerland.
iMAXT Consortium
Bernd BodenmillerDepartment of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-6325-7861
Jean HausserDepartment of Cellular and Molecular Biology, Karolinska Institutet and SciLifeLab, Stockholm, Sweden.ORCID http://orcid.org/0000-0002-3321-7199
Johanna A JoyceDepartment of Oncology, University of Lausanne, Lausanne, Switzerland. johanna.joyce@unil.ch.ORCID http://orcid.org/0000-0002-6332-2598
University Hospital of Lausanne · CHScience for Life Laboratory · SEUniversity of Zurich · CHCancer Research UK · GBUniversity of Cambridge · GBÉcole Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor microenvironment plays a crucial role in determining response to treatment. This involves a series of interconnected changes in the cellular landscape, spatial organization, and extracellular matrix composition. However, assessing these alterations simultaneously is challenging from a spatial perspective, due to the limitations of current high-dimensional imaging techniques and the extent of intratumoral heterogeneity over large lesion areas. In this study, we introduce a spatial proteomic workflow termed Hyperplexed Immunofluorescence Imaging (HIFI) that overcomes these limitations. HIFI allows for the simultaneous analysis of > 45 markers in fragile tissue sections at high magnification, using a cost-effective high-throughput workflow. We integrate HIFI with machine learning feature detection, graph-based network analysis, and cluster-based neighborhood analysis to analyze the microenvironment response to radiation therapy in a preclinical model of glioblastoma, and compare this response to a mouse model of breast-to-brain metastasis. Here we show that glioblastomas undergo extensive spatial reorganization of immune cell populations and structural architecture in response to treatment, while brain metastases show no comparable reorganization. Our integrated spatial analyses reveal highly divergent responses to radiation therapy between brain tumor models, despite equivalent radiotherapy benefit.

Indexed as

Brain NeoplasmsGlioblastomaAnimalsBrainFluorescent Antibody TechniqueMiceProteomicsTumor Microenvironment

Identifiers

PMID38622132
PMCPMC11018859
OpenAlexW4394819021

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.