Evidence map›Paper›PMID 42509237›Full record

ArticleNature communications2026

Cancer immunotherapy targeting murine myeloid cells requires endosomal pattern recognition.

Yueyun Pan, Shengduo Pei, Heng Liang, Kajsa Westberg, Lars Nitschke, Xinsong Chen, Yinda Yu, Ning He, Qirong Lin, Li Lei and 6 more

Abstract read
In one paragraph

Article in Nature communications, 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

16 authors.

Yueyun PanDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna Campus, Stockholm, Sweden.
Shengduo PeiDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna Campus, Stockholm, Sweden.
Heng LiangDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna Campus, Stockholm, Sweden.ORCID 0009-0002-0579-8114
Kajsa WestbergDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna Campus, Stockholm, Sweden.ORCID 0000-0002-4120-622X
Lars NitschkeDivision of Genetics, Department of Biology, University of Erlangen, Erlangen, Germany.
Xinsong ChenDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.
Yinda YuDepartment of Medicine Solna, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden.
Ning HeDepartment of Medicine Solna, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden.
Qirong LinDepartment of Cell and Molecular Biology, Karolinska Institutet, Solna Campus, Stockholm, Sweden.
Li LeiDepartment of Cell and Molecular Biology, Karolinska Institutet, Solna Campus, Stockholm, Sweden.
Anton GisteråDepartment of Medicine Solna, Center for Molecular Medicine, Karolinska University Hospital, Karolinska Institutet, Stockholm, Sweden.
Johan HartmanDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6500-8527
Jeffrey V RavetchLaboratory of Molecular Genetics and Immunology, Rockefeller University, New York, NY, USA.ORCID 0000-0003-2024-9041
Tak W MakPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.ORCID 0000-0001-6766-861X
Tracy L McGahaPrincess Margaret Cancer Centre, University Health Network, Toronto, ON, Canada.ORCID 0000-0003-4721-9301
Mikael C I KarlssonDepartment of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Solna Campus, Stockholm, Sweden. Mikael.Karlsson@ki.se.ORCID 0000-0001-5582-614X

Funding

NIH National Institutes of Health 5R01-CA258324-04
6 · The paper itself

Abstract

Immunotherapy is now an established and efficient treatment option for many cancer patients. However, a proportion of patients still experience poor outcomes due to treatment resistance. Thus, a clear understanding of key mechanisms of resistance is needed for the development of new treatments. Here, we employ mouse models to explore an immunotherapeutic approach based on anti-MARCO (αMARCO) and anti-PD-L1 (αPD-L1) antibody-mediated targeting of tumor-associated macrophages (TAM). We demonstrate that effective immunotherapy relies on a functional endosomal pattern recognition machinery. We determine that endosomal Toll-like receptors (TLR), specifically TLR9, precondition macrophages to respond to αMARCO treatment by regulating the transcription of inflammasome components. Absence of TLRs renders TAMs unresponsive to treatment while retaining an immunosuppressive phenotype. Thus, we uncover the intracellular TLR signalling as a feature of immunotherapy efficacy, required to sensitise TAMs to treatment, and indicate that TLR targeting could be exploited to improve immunotherapeutic outcomes.

Indexed as

EndosomesImmunotherapyMyeloid CellsTumor-Associated MacrophagesAnimalsB7-H1 AntigenCell Line, TumorFemaleHumansInnate Immunity RecognitionMacrophagesMiceMice, Inbred C57BLMice, KnockoutSignal TransductionToll-Like Receptor 9B7-H1 AntigenCd274 protein, mouseTlr9 protein, mouseToll-Like Receptor 9

Identifiers

PMID42509237
PMCPMC13408345

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Registered trials

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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.