Evidence map›Paper›PMID 41235258›Full record

ArticleFrontiers in immunology2025

Targeting the LPS-STING axis: neomycin restores STING-mediated anti-tumor immune suppression and inhibits tumor growth.

Hong Fan, Dongjie Fu, Mingfu Tian, Zhiqiang Li, Siyu Liu, Chenglin Ye, Kailang Wu, Chengliang Zhu

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

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4 · The record

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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

8 authors.

Hong Fan *Department of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Dongjie Fu *Department of Stomatology, Renmin Hospital of Wuhan University, Wuhan, China.
Mingfu TianState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, Hubei, China.
Zhiqiang LiDepartment of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Siyu LiuState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, Hubei, China.
Chenglin YeDepartment of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.
Kailang WuState Key Laboratory of Virology, College of Life Sciences, Wuhan University, Wuhan, Hubei, China.
Chengliang ZhuDepartment of Clinical Laboratory, Institute of Translational Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The interplay between microbial metabolites and host immunity within the tumor microenvironment (TME) critically modulates anti-tumor immune responses. The role of Gram-negative bacteria and their cell wall component lipopolysaccharide (LPS) in this context warrants further investigation. Methods: We assessed the impact of low-dose LPS pretreatment on macrophage function by measuring type I interferon (IFN-β) secretion in response to tumor cell debris. Mechanistic insights were gained by analyzing endogenous signaling pathways in macrophages. The therapeutic potential of targeting LPS was evaluated in melanoma-bearing mice treated with neomycin, alone or in combination with STING agonists. Results: Low-dose LPS pretreatment significantly suppressed IFN-β secretion by macrophages, indicating LPS-mediated immunosuppression. Mechanistically, LPS disrupted endogenous signaling pathways, blunting the ability of macrophages to sense tumor-derived damage signals. Discussion: Our findings demonstrate that elevated LPS in the TME inhibits anti-tumor innate immunity by impairing macrophage function. The combination of LPS modulation via neomycin with innate immune activation via STING agonists presents a potential strategy to enhance tumor immunotherapy.

Indexed as

LipopolysaccharidesMelanoma, ExperimentalMembrane ProteinsNeomycinAnimalsCell Line, TumorFemaleImmunity, InnateInterferon-betaMacrophagesMiceMice, Inbred C57BLSignal TransductionSTING ProteinTumor MicroenvironmentInterferon-betaLipopolysaccharidesMembrane ProteinsNeomycinSting1 protein, mouseSTING ProteinlipopolysaccharidemicrobiomeneomyciznTBK1tumor

Identifiers

PMID41235258
PMCPMC12605410

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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.