Evidence map›Paper›PMID 40948773›Full record

ArticleFrontiers in immunology2025

Bacterial outer membrane vesicles OMV-LL for delivery of neoantigen mRNA to induce anti-HCC therapy.

Jiaqing Cheng, Suxin Wu, Chenlu Zhu, Shengzhe Lin, Fang Liu, Shuping Chen, Yunbin Ye

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Jiaqing ChengThe School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian, China.
Suxin WuThe School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian, China.
Chenlu ZhuThe School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian, China.
Shengzhe LinDepartment of Hepatobiliary Surgery and Fujian Institute of Hepatobiliary Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, China.
Fang LiuThe School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian, China.
Shuping ChenLaboratory of Immuno-Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China.
Yunbin YeLaboratory of Immuno-Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hepatocellular carcinoma (HCC) represents a significant health challenge, with immunotherapy serving as a crucial component of its complex treatment regimen. This study investigates the use of TP53Y220C as a preferred antigen to induce cytotoxic T lymphocytes (CTLs) for cytotoxic effects against HCC. Methods: The TP53 Results: We assessed the therapeutic efficacy of CTLs, activated by mTP53 Conclusion: This study highlights OMV-LL as an innovative mRNA delivery approach to DCs for CTLs activation and demonstrates their potential in CTLs-based therapy for HCC.

Indexed as

Antigens, NeoplasmBacterial Outer MembraneCancer VaccinesCarcinoma, HepatocellularLiver NeoplasmsProteolipidsRNA, MessengerT-Lymphocytes, CytotoxicTumor Suppressor Protein p53AnimalsBacterial ToxinsCell Line, TumorDendritic CellsDisease Models, AnimalElectroporationHeat-Shock ProteinsAntigens, NeoplasmBacterial ToxinsCancer VaccinesHeat-Shock ProteinsHemolysin ProteinshlyA protein, Listeria monocytogenesProteolipidsRNA, MessengerTumor Suppressor Protein p53cytotoxic T lymphocyteshepatocellular carcinomamRNAouter-membrane vesiclesTP53

Identifiers

PMID40948773
PMCPMC12426261

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.