Evidence map›Paper›PMID 42782537›Full record

ReviewCancer metastasis reviews2026

Extracellular vesicles in breast cancer metastasis: functional insights and advances in single-EV analysis.

Yujin Lee, Yuling Wang, Peter Graham, Julia Beretov, Jie Ni

Abstract readReview
In one paragraph

Review in Cancer metastasis reviews, 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

5 authors.

Yujin LeeSt George and Sutherland Clinical Campuses, School of Clinical Medicine, UNSW Sydney, Kensington, NSW, 2052, Australia.
Yuling WangSchool of Natural Sciences, Faculty of Science and Engineering, Macquarie University, Sydney, NSW, 2109, Australia.
Peter GrahamSt George and Sutherland Clinical Campuses, School of Clinical Medicine, UNSW Sydney, Kensington, NSW, 2052, Australia.
Julia BeretovSt George and Sutherland Clinical Campuses, School of Clinical Medicine, UNSW Sydney, Kensington, NSW, 2052, Australia.
Jie NiSt George and Sutherland Clinical Campuses, School of Clinical Medicine, UNSW Sydney, Kensington, NSW, 2052, Australia. jie.ni@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer (BC) metastasis remains a leading cause of mortality despite significant advances in screening and diagnosis. Extracellular vesicles (EVs), secreted by all living cells, carry biologically active cargo such as RNAs and proteins, playing a crucial role in cell-to-cell communication. Distinct EV subpopulations contribute to the tumour microenvironment, pre-metastatic niche formation, immune evasion, extracellular matrix remodelling, and ultimately promote BC organotropism. Beyond their biological roles, growing evidence highlights EVs as potential diagnostic and prognostic biomarkers, as well as viable therapeutic targets. However, the full scope of EV function in BC metastasis remains unclear, and their inherent heterogeneity and molecular complexity present considerable barriers to clinical translation. Addressing these challenges requires both a clear understanding of the distinct functions of each EV subpopulation and the application of advanced single-EV analysis techniques. In this review, we comprehensively examine the functional contributions of EV subpopulations to BC metastasis. Each RNA and protein cargo we discuss is assigned a graded evidence level. We further consider EV lipids, non-vesicular extracellular particles and current EV-directed therapeutic strategies. Finally, we highlight that single-EV analysis is a promising strategy to resolve this complexity and convert EV biology into clinically actionable biomarkers and targets.

Indexed as

Breast NeoplasmsExtracellular VesiclesAnimalsBiomarkers, TumorFemaleHumansNeoplasm MetastasisTumor MicroenvironmentBiomarkers, TumorBreast cancerExtracellular vesiclesMetastasisSingle-EV analysis

Identifiers

PMID42782537
PMCPMC13612676

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.