Evidence map›Paper›PMID 40781916›Full record

ReviewActa biochimica et biophysica Sinica2025

Unveiling the multifaceted roles of extracellular vesicles in cancer: insights from molecular imaging and engineering strategies.

Yuqin Teng, Gang Huang, Hao Yang

Abstract readReview
In one paragraph

Review in Acta biochimica et biophysica Sinica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

3 authors.

Yuqin TengSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
Gang HuangShanghai Key Laboratory of Molecular Imaging, Shanghai University of Medicine and Health Sciences, Shanghai 201318, China.
Hao YangSchool of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs), a class of nanoscale, membrane-bound vesicles secreted by various cell types, have emerged as rapidly advancing fields of research in recent years. This heterogeneous vesicle is a versatile carrier system for a variety of biomolecules, including proteins, nucleic acids, and metabolites. EVs play pivotal roles in intercellular communication, immune regulation, and disease pathogenesis, with particular implications for cancer biology. On the one hand, EVs promote tumor progression and metastasis by facilitating communication between cancer cells and their microenvironment. On the other hand, EVs carry noncoding RNAs, such as miRNAs and other regulatory RNAs, which directly modulate immune cell function or exert antitumor effects by influencing cancer cell proliferation and apoptosis. In addition to their biological roles, EVs show great potential as drug delivery systems because of their ability to be effectively taken up by target cells and stably deliver therapeutic payloads. In the context of cancer therapy, natural EVs demonstrate inherent therapeutic potential, particularly in targeting highly metabolically active organs. Furthermore, engineered EVs, which serve as both therapeutic vehicles and molecular imaging probes, have demonstrated significant potential for cancer theranostics. This review focuses on elucidating the dynamic changes and biological functions of EVs

Indexed as

Extracellular VesiclesMolecular ImagingNeoplasmsAnimalsDrug Delivery SystemsHumansTumor Microenvironmentclinical applicationextracellular vesiclesmolecular imaging tracer technologytumor treatment

Identifiers

PMID40781916
PMCPMC12900702

What OpenQuestion holds

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Registered trials

None linked

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.