Evidence map›Paper›PMID 40081939›Full record

ArticleJournal for immunotherapy of cancer2025

Single-cell spatial transcriptomics unravels cell states and ecosystems associated with clinical response to immunotherapy.

Ziena Abdulrahman, Roderick C Slieker, Daniel McGuire, Marij J P Welters, Mariette I E van Poelgeest, Sjoerd H van der Burg

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

6 authors.

Ziena AbdulrahmanDepartment of Medical Oncology, Leiden University Medical Center, Leiden, ZH, Netherlands.ORCID http://orcid.org/0000-0001-9079-0293
Roderick C SliekerDepartment of Medical Oncology, Leiden University Medical Center, Leiden, ZH, Netherlands.
Daniel McGuireNanoString Technologies Inc, Seattle, Washington, USA.
Marij J P WeltersDepartment of Medical Oncology, Leiden University Medical Center, Leiden, ZH, Netherlands.
Mariette I E van PoelgeestGynaecology, Leiden University Medical Center, Leiden, Zuid-Holland, Netherlands.
Sjoerd H van der BurgDepartment of Medical Oncology, Leiden University Medical Center, Leiden, ZH, Netherlands shvdburg@lumc.nl.ORCID http://orcid.org/0000-0002-6556-0354

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe tumor microenvironment (TME) is a complex and dynamic ecosystem that is known to influence responses to immunotherapy. We leveraged single-cell spatial transcriptomics to systematically dissect the intricate complexity of the TME, in particular the cellular heterogeneity and spatial interactions. Their collective impact on immunotherapy efficacy was studied in the context of a homogeneous group of patients with vulvar high-grade squamous intraepithelial lesions (vHSIL) treated with an immunotherapeutic tumor-specific peptide vaccine.

methodsWe performed single-cell spatial transcriptomics on 20 pretreatment vHSIL lesions, stratified by clinical response to immunotherapeutic vaccination into complete responders (CR), partial responders (PR) and non-responders (NR). Using a 1,000-gene panel, we mapped over 274,000 single cells in situ, identifying 18 cell clusters and 99 distinct non-epithelial cell states. Findings were validated against public single-cell transcriptomic data sets to assess their broader relevance across tumor types.

resultsProfound heterogeneity within the TME was detected across the response groups. CR lesions exhibited a higher ratio of immune-supportive to immune-suppressive cells-a pattern mirrored in other solid tumors following neoadjuvant checkpoint blockade. Key immune populations enriched in CRs included CD4+CD161+ effector T cells and chemotactic CD4+ and CD8+ T cells. Conversely, PRs were characterized by increased proportions of T helper 2 cells and CCL18-expressing macrophages, which are associated with the recruitment of type 2 T cells and regulatory T cells. NRs displayed preferential infiltration with immunosuppressive fibroblasts. Distinct spatial immune ecosystems further defined response groups. Although a number of immune cells were detected in all patients, type 1 effector cells dominated interactions in CRs, type 2 cells were prominently interacting in PRs, while NRs lacked organized immune cell interactions.

conclusionsThis study underscores the dual importance of both cellular composition and spatial organization in steering clinical response to immunotherapy.

Indexed as

ImmunotherapySingle-Cell AnalysisTranscriptomeTumor MicroenvironmentFemaleGene Expression ProfilingHumansBiomarkerImmunotherapyVaccine

Identifiers

PMID40081939
PMCPMC11907085

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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.