Evidence map›Paper›PMID 42832434›Full record

ReviewOncotarget2026

Emerging biomedical imaging applications of tumor-derived extracellular vesicles for premetastatic niche detection: Biological rationale, engineering strategies, and translational challenges.

Omkar Dhaygude, Yun Chen, Yamauchi Suguru, Malcom Brock, Franck Housseau, John Michel

Abstract readReview
In one paragraph

Review in Oncotarget, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Omkar Dhaygude
Yun Chen
Yamauchi Suguru
Malcom Brock
Franck Housseau
John Michel

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Copyright: © 2026 Dhaygude et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Extracellular vesicles (EVs) are a heterogeneous population of membrane-enclosed nanoparticles naturally released by virtually all cell types, including exosomes, microvesicles, and other vesicular subtypes that differ in biogenesis, size, and molecular composition. By transporting proteins, lipids, nucleic acids, and metabolites, EVs mediate local and systemic intercellular communication and play a central role in tumor progression, organ-specific metastasis, and remodeling of distant microenvironments. Recent advances in EV isolation, engineering, and molecular profiling have accelerated interest in their use as nanomedicine platforms for both targeted delivery and cancer diagnostics. In particular, tumor-derived EVs (TEVs) exhibit intrinsic organotropism and participate in the establishment of premetastatic niches, making them promising vehicles for the targeted delivery of imaging probes to metastasis-prone tissues. This review discusses the emerging use of EVs as carriers of contrast and molecular imaging agents to enable visualization of premetastatic niches before overt metastatic lesions become detectable by conventional imaging modalities such as computed tomography. We highlight the biological rationale, engineering strategies, imaging applications, and translational challenges associated with EV-based probe delivery and consider how this approach may improve early detection of metastatic spread, risk stratification, and disease monitoring in oncology.

Indexed as

Diagnostic ImagingExtracellular VesiclesMolecular ImagingNeoplasmsAnimalsHumansNeoplasm MetastasisTranslational Research, BiomedicalTumor Microenvironmentcancer imagingextra-cellular vesicleslung metastasespremetastatic nichestheranostic

Identifiers

PMID42832434
PMCPMC13637956

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.