Evidence map›Paper›PMID 40908470›Full record

ReviewJournal of biomedical science2025

Extracellular vesicles: biogenesis mechanism and impacts on tumor immune microenvironment.

Nai Yang Yeat, Ruey-Hwa Chen

Abstract readReview
In one paragraph

Review in Journal of biomedical science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 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

2 authors.

Nai Yang YeatInstitute of Biological Chemistry, Academia Sinica, Taipei, 115, Taiwan.
Ruey-Hwa ChenInstitute of Biological Chemistry, Academia Sinica, Taipei, 115, Taiwan. rhchen@gate.sinica.edu.tw.

Funding

AS Investigator Award AS-IA-112-L04NSTC Academic Summit grant #111-2639-B-001-001ASP
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are heterogeneous populations of membrane-bound particles released from almost all cell types in an organism and play pivotal roles in cell-cell communication. EVs carry nucleic acids, proteins, metabolites and other bioactive substances, which are taken by the recipient cells to alter cell physiology and functions. The cargo landscapes of EVs are influenced by the cell contexts and the biogenesis mechanisms of EVs, in which certain molecules govern both biogenesis and cargo sorting. In this review, we discuss the biogenesis and secretion mechanisms of various types of EVs, including several atypical EVs. In addition, given that the tumor immune microenvironment (TIME) is intricately controlled by the communication between tumor cells and various immune cells, we summarize the latest update about how tumor-derived EVs influence the phenotypes of various immune cells in tumor microenvironment for tumor immune evasion, and, conversely, how EVs secreted from immune cells in TIME control the malignancies of tumor cells. In particular, we discuss the roles of several atypical EVs in regulating TIME. Lastly, we highlight the advantages of utilizing EVs as liquid biopsies for cancer diagnosis, the application and challenge of EVs in different anti-tumor therapies, and the recent clinical trials that exploit EVs as drug carriers. As the continuous advances in our understanding of the complex biogenesis mechanisms and the pleiotropic actions of EVs in TIME as well as the technology improvements in harnessing EVs' clinical benefits, we can expect to further unlock the biomedical potential of EVs in cancer and other diseases.

Indexed as

Extracellular VesiclesNeoplasmsTumor MicroenvironmentCell CommunicationHumansCancer therapyEV biogenesisEV secretionExtracellular vesiclesTumor immune microenvironment

Identifiers

PMID40908470
PMCPMC12412255

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.