Evidence map›Paper›PMID 41709766›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Bacterial Outer Membrane Vesicles in Potentiating Cancer Vaccines: Progress and Prospects.

Jiabeini Zhang, Tianyu Shao, Fengjiang Qu, Caiyun Bai, Sijie Li, Pin Gao, Wenna Li, Keman Cheng, Xiao Zhao, Zhimin Fan

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Editorial: Research on nanomaterials in tumor diagnosis and therapy, volume II.Frontiers in bioengineering and biotechnology · 2026
    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

10 authors.

Jiabeini ZhangDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin, China.ORCID https://orcid.org/0009-0002-8273-4093
Tianyu ShaoCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety & CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, China.
Fengjiang QuDepartment of Emergency Surgery, The First Hospital of Jilin University, Changchun, Jilin, China.
Caiyun BaiDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin, China.
Sijie LiDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin, China.
Pin GaoDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin, China.
Wenna LiCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety & CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, China.
Keman ChengCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety & CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, China.
Xiao ZhaoCAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety & CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing, China.ORCID https://orcid.org/0000-0002-4504-5670
Zhimin FanDepartment of Breast Surgery, General Surgery Center, The First Hospital of Jilin University, Changchun, Jilin, China.

Funding

Beijing Municipal Science & Technology Commission Z231100007223011Beijing Natural Science Foundation 7244523National Natural Science Foundation of China 32171384National Natural Science Foundation of China 32222045National Natural Science Foundation of China 32471450National Natural Science Foundation of China 82402462
6 · The paper itself

Abstract

Cancer immunotherapy is increasingly moving toward personalized, precision-based strategies, with cancer vaccines emerging as a promising approach to reshape treatment. However, despite their potential, current tumor vaccines often yield limited clinical responses and subpar immunogenicity, underscoring the urgent need for innovative delivery systems to enhance immune activation. Bacterial outer membrane vesicles (OMVs), which possess natural immunomodulatory properties and impressive engineering flexibility, have attracted attention as versatile platforms for vaccine development and bioengineering applications. This review thoroughly summarizes recent advances in using OMVs to enhance the effectiveness of cancer vaccines. First, we explain the key biological features of OMVs that support their immunotherapeutic potential. Next, we carefully analyze the primary mechanisms by which OMVs enhance immune responses, as well as cutting-edge engineering strategies to improve their safety, immunogenicity, and specificity. Additionally, we discuss the significant challenges that hinder the clinical use of OMV-based cancer vaccines and provide a comprehensive review of current progress and future outlooks. Looking forward, combining artificial intelligence, tumor microenvironment profiling, and neoantigen discovery is expected to drive the development of next-generation, personalized OMV-based immunotherapies. Overall, OMVs stand out as a transformative platform capable of overcoming major obstacles in cancer vaccine development and pushing forward future cancer immunotherapy.

Indexed as

Bacterial Outer MembraneBacterial Outer Membrane ProteinsCancer VaccinesImmunotherapyNeoplasmsAnimalsHumansVaccine DevelopmentBacterial Outer Membrane ProteinsCancer Vaccinesbacterial engineeringcancer immunotherapycancer vaccineshybrid membrane vesiclesouter membrane vesiclessurface modification

Identifiers

PMID41709766
PMCPMC13205634

What OpenQuestion holds

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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.