Evidence map›Paper›PMID 41588435›Full record

ArticleCell communication and signaling : CCS2026

Exosome RAB10 inhibits JAK1/STAT1 to hinder macrophage M1 polarization and promote tumor immune escape.

Tang Guohui, Pang Bo, Yuting Liu, Shaopeng Xu, Li Ruonan, Zhu Chengle, Wu Qiong, Ran Ruorong, Haotian Cai, Wang Wenrui and 2 more

Abstract read
In one paragraph

Article in Cell communication and signaling : CCS, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Tang Guohui *Anhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China.
Pang Bo *Anhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China.
Yuting Liu *Anhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China.
Shaopeng XuThe third the People's Hospital of Bengbu, Anhui, 233030, China.
Li RuonanAnhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China.
Zhu ChengleAnhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China.
Wu QiongAnhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China.
Ran RuorongAnhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China.
Haotian CaiAnhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China.
Wang WenruiAnhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China. wenrui-wang1983@163.com.
Chen ChangjieAnhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China. tochenchangjie@163.com.
Yang QinglingAnhui Provincial Key Laboratory of Tumor Evolution and Intelligent Diagnosis and Treatment, Bengbu Medical University, Anhui, 233030, China. yqlmimi@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes are key mediators of communication between tumor cells and the tumor microenvironment(TME); however, the mechanisms underlying exosome-mediated crosstalk between tumor cells and macrophages remain largely unclear. This study investigated the effect of exosomal RAB10 on macrophage polarization and tumor growth. Mechanistically, RAB10 delivered by breast cancer cells binds to the interferon receptor IFNAR1 and inhibits JAK1/STAT1 pathway phosphorylation, thereby impeding M1 polarization and promoting M2 polarization. RAB10 expression was significantly upregulated in drug-resistant breast cancer cells and was correlated with poor patient prognosis. In vitro assays confirmed that RAB10 enhances cancer cell proliferation. In vivo knockdown of RAB10 suppressed tumor growth and reduced the expression of markers related to proliferation (Ki67, PCNA), invasion (MMP2), and epithelial-mesenchymal transition (Snail, Vimentin). Single-cell RNA sequencing revealed a marked decrease in the proportion of macrophages in the TME following RAB10 knockdown. This phenotypic shift increases the secretion of immunosuppressive factors such as PDL1, leading to reduced activity of CD8⁺ T cells. Animal studies further confirmed that combined targeting of RAB10 and PD-L1 produces a synergistic inhibitory effect on tumor growth. This study demonstrated that breast cancer cells can transfer RAB10 to macrophages via exosomes. RAB10 interacts with IFNAR1 to suppress the JAK1/STAT1 signaling pathway, thereby inhibiting M1 polarization and promoting M2 polarization of macrophages. Inhibition of RAB10, especially in combination with PD-L1 blockade, offers a promising strategy to enhance anti-tumor immunity and overcome therapeutic resistance in breast cancer.

Indexed as

Breast NeoplasmsCell PolarityExosomesJanus Kinase 1Macrophagesrab GTP-Binding ProteinsSTAT1 Transcription FactorAnimalsB7-H1 AntigenCell Line, TumorCell ProliferationFemaleHumansImmunoediting, CancerMiceReceptor, Interferon alpha-betaB7-H1 AntigenJAK1 protein, humanJanus Kinase 1rab GTP-Binding ProteinsReceptor, Interferon alpha-betaSTAT1 protein, humanSTAT1 Transcription FactorBreast cancerExosomesMacrophage polarizationRAB10scRNA-seq

Identifiers

PMID41588435
PMCPMC12918282

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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.