Evidence map›Paper›PMID 40159726›Full record

ReviewEssays in biochemistry2025

Potential of bacterial outer membrane vesicles in tumor vaccine: characteristics, advancements, and future directions.

Yizhe Yang, Yumin Wu

Abstract readReview
In one paragraph

Review in Essays in biochemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  6. Review
  7. Review
  8. Review
  9. Harnessing Nanocarriers to Advance Vaccine Development.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2026
    Review
  10. Review
  11. Review
  12. Outer Membrane Vesicles AttenuateMicroorganisms · 2025
    Article
  13. Article
  14. Article
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

2 authors.

Yizhe YangCollege of Nano Science & Technology (CNST), Soochow University, Suzhou, Jiangsu 215123, China.ORCID 0009-0002-5116-9511
Yumin WuInstitute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou, Jiangsu 215123, China.ORCID 0000-0003-0917-9919

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial outer membrane vesicles (OMVs), naturally released by Gram-negative bacteria, are a type of lipid bilayer nanoparticles containing many components found within the parent bacterium. Despite OMVs were first considered mere by-products of bacterial growth, recent studies have shown them as a highly adaptable platform for tumor vaccine. Here, we first demonstrate the biogenesis of OMVs, then review the strong immunogenicity of OMVs as an immune adjuvant in tumor vaccine and its excellent vaccine delivery capability, and finally discuss OMVs' engineering potentials through summarizing recent scientific advancements in genetic engineering, chemical modification, and nanotechnology. We also point out the clinical trials and future challenges of OMV-based vaccine. Overall, this review offers valuable insights into cancer immunotherapy, providing a roadmap for leveraging OMVs as a versatile platform for next-generation cancer vaccines.

Indexed as

Bacterial Outer MembraneCancer VaccinesGram-Negative BacteriaNeoplasmsAnimalsHumansImmunotherapyNanoparticlesCancer Vaccinesbacterial outer membrane vesicles (OMVs)cancer immunotherapygenetic and chemical modificationimmunogenicitytumor vaccine

Identifiers

PMID40159726
PMCPMC12204010

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.