Evidence map›Paper›PMID 41078591›Full record

ArticleJournal of extracellular biology2025

Proteomic Profiling of Bacterial Extracellular Vesicles for Exploring Ovarian Cancer Biomarkers.

Eri Asano-Inami, Akira Yokoi, Kosuke Yoshida, Kentaro Taki, Masami Kitagawa, Kazuhiro Suzuki, Ryosuke Uekusa, Yukari Nagao, Nobuhisa Yoshikawa, Kaoru Niimi and 2 more

Abstract read
In one paragraph

Article in Journal of extracellular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Secretion of Extracellular Microvesicles Induced by a Fraction ofInternational journal of molecular sciences · 2025
    Article
  5. Article
  6. 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

12 authors.

Eri Asano-InamiDepartment of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan.
Akira YokoiDepartment of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan.ORCID https://orcid.org/0000-0003-0789-5102
Kosuke YoshidaDepartment of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan.
Kentaro TakiDivision for Medical Research Engineering Nagoya University Graduate School of Medicine Nagoya Japan.
Masami KitagawaDepartment of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan.
Kazuhiro SuzukiDepartment of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan.
Ryosuke UekusaDepartment of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan.
Yukari NagaoDepartment of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan.
Nobuhisa YoshikawaDepartment of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan.
Kaoru NiimiDepartment of Obstetrics and Gynecology Nagoya University Graduate School of Medicine Nagoya Japan.
Yusuke YamamotoLaboratory of Integrative Oncology National Cancer Center Research Institute Chuo-ku Tokyo Japan.
Hiroaki KajiyamaDepartment 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) are present in body fluids and act as disease biomarkers. Emerging evidence has proven that EVs are released not only from mammalian cells but also from bacteria. Ovarian cancer has a dismal prognosis because of difficulties in early detection. This study aimed to identify bacterial EV (BEV) proteins associated with ovarian cancer. Fifteen patients with ovarian cancer or non-cancer were recruited, and EVs were isolated from the ascites. BEVs were recovered from seven in vitro-cultured strains of bacteria present in the vaginal microbiota, and LC-MS/MS analysis was performed. The detected peptide data were annotated to both human and bacterial references, and the human data showed that the profiles of cancer EVs were distinct from those of patients with non-cancer. As analysed by bacterial proteins, P15636_Protease1 was found as the BEV-associated protein highly expressed in patients with cancer. To distinguish patients with cancer, the area under the curve was 0.88 (95% CI, 0.64-1.00). In addition, homology analysis showed that P15636_Protease1 is a unique protein only detected in bacteria. In this study, ovarian cancer-specific bacterial proteins were identified on EVs, and BEVs in bodily fluids are promising in the discovery of disease biomarkers.

Indexed as

bacterial extracellular vesiclehomologyovarian cancerproteomicsvaginal microbiota

Identifiers

PMID41078591
PMCPMC12508252

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.