Evidence map›Paper›PMID 41861020›Full record

ArticleScience advances2026

TLR9-activating cholesterol azetidine derivative-assisted therapeutic vaccines for cancer immunotherapy.

Junbin Chen, Miao Su, Boya Yu, Mingda Yang, Huiye Wang, Xianzhu Yang, Jun Wang

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Junbin ChenSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, Guangdong 511442, P. R. China.ORCID 0000-0001-8516-0457
Miao SuSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, Guangdong 511442, P. R. China.ORCID 0000-0002-3235-0940
Boya YuSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, Guangdong 511442, P. R. China.
Mingda YangSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, Guangdong 511442, P. R. China.ORCID 0009-0003-5931-9411
Huiye WangSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, Guangdong 511442, P. R. China.
Xianzhu YangSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, Guangdong 511442, P. R. China.ORCID 0000-0002-1006-0950
Jun WangSchool of Biomedical Sciences and Engineering, South China University of Technology, Guangzhou International Campus, Guangzhou, Guangdong 511442, P. R. China.ORCID 0000-0001-9957-9208

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic cancer vaccines show great promise for de novo induction of antigen-specific T cell responses against tumors. However, weak coordination between innate immune activation and antigen delivery remains a major obstacle to vaccine efficacy. Here, we present a cholesterol azetidine derivative-assisted polymeric carrier, Aze-Chol NP, which stimulates innate immunity and primes tumor-specific CD8

Indexed as

AzetidinesCancer VaccinesCholesterolImmunotherapyToll-Like Receptor 9AnimalsCD8-Positive T-LymphocytesCell Line, TumorDendritic CellsFemaleHumansMiceNanovaccinesToll-Like Receptor AgonistsAzetidinesCancer VaccinesCholesterolNanovaccinesToll-Like Receptor 9Toll-Like Receptor Agonists

Identifiers

PMID41861020
PMCPMC13004015

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.