Evidence map›Paper›PMID 40786476›Full record

ArticleJMA journal2025

Diverse Functions of Extracellular Vesicles in Ovarian Cancer.

Akira Yokoi

Abstract read
In one paragraph

Article in JMA journal, 2025. 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

1 author.

Akira YokoiDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) play various roles in cancer progression, mediating intercellular signaling. EVs carry bioactive substances such as ribonucleic acid, deoxyribonucleic acid, and proteins, each providing important functions in whole biological fields, not only in cancer. Particularly in clinical oncology, EVs have attracted much attention owing to their promising potential as new diagnostic and therapeutic targets. Ovarian cancer is one of the major causes of gynecologic cancer deaths and is often asymptomatic in the early stages; therefore, biomarkers that enable early diagnosis are critical to improving patient survival. Ovarian cancer cells easily spread through the abdominal cavity rather than through the bloodstream, forming direct metastatic foci in organs such as peritoneal membranes or omentum. The disease is treated multimodally with surgery and chemotherapy, even in advanced stages, and a certain degree of response to treatment is observed. However, most relapsed cancer gradually acquired resistance to chemotherapies. We have investigated various EV molecules in ovarian cancer and shown their clinical utility. In addition, the heterogeneity of EVs has emerged as a recent topic, and we have developed and used novel techniques to understand them. Applying these findings to clinical practice, EV-based approaches have the potential to revolutionize ovarian cancer management, enabling early detection, personalized monitoring, and targeted therapy. Continued innovation and interdisciplinary collaboration will be key to realizing the full potential of EV translational research to improve outcomes for patients with ovarian cancer.

Indexed as

exosomeextracellular vesicleovarian cancer

Identifiers

PMID40786476
PMCPMC12329138

What OpenQuestion holds

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LicenceCC BY
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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.