Evidence map›Paper›PMID 41096592›Full record

ReviewInternational journal of molecular sciences2025

Exosomal miRNAs: Key Regulators of the Tumor Microenvironment and Cancer Stem Cells.

Shuangmin Wang, Sikan Jin, Jidong Zhang, Xianyao Wang

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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

4 authors.

Shuangmin WangDepartment of Immunology, Zunyi Medical University, Zunyi 563000, China.
Sikan JinDepartment of Immunology, Zunyi Medical University, Zunyi 563000, China.
Jidong ZhangDepartment of Immunology, Zunyi Medical University, Zunyi 563000, China.ORCID 0000-0002-7934-7079
Xianyao WangDepartment of Immunology, Zunyi Medical University, Zunyi 563000, China.ORCID 0000-0002-1742-2045

Funding

National Natural Science Foundation of China (82360044)
6 · The paper itself

Abstract

Exosomes are lipid bilayer vesicles approximately 30-150 nm in diameter that serve as key mediators of intercellular communication. By transporting diverse bioactive molecules, including proteins and nucleic acids, they play a crucial role in tumor initiation and progression. Among their functional cargo, exosomal microRNAs (miRNAs) are central to epigenetic regulation and intercellular signaling, significantly influencing tumor biology. This review provides a comprehensive overview of the multifaceted roles of exosomal miRNAs in remodeling the tumor microenvironment (TME) and regulating cancer stem cells (CSCs). Specifically, exosomal miRNAs modulate various immune cells (such as macrophages, T cells, and NK cells) as well as cancer-associated fibroblasts (CAFs), thereby promoting immune evasion, angiogenesis, epithelial-mesenchymal transition (EMT), and metastatic progression. At the same time, they enhance CSC stemness, self-renewal, and therapeutic resistance, ultimately driving tumor recurrence and dissemination. Furthermore, exosome-mediated miRNA signaling acts as a critical force in malignant progression. Finally, we discuss the clinical potential of exosomal miRNAs as diagnostic and prognostic biomarkers, therapeutic targets, and vehicles for targeted drug delivery, highlighting their translational value and future directions in cancer research.

Indexed as

ExosomesMicroRNAsNeoplasmsNeoplastic Stem CellsTumor MicroenvironmentAnimalsBiomarkers, TumorEpithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticHumansSignal TransductionBiomarkers, TumorMicroRNAscancerCSCsexosomesmiRNA

Identifiers

PMID41096592
PMCPMC12525325

What OpenQuestion holds

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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.