Evidence map›Paper›PMID 41475843›Full record

ArticleJournal for immunotherapy of cancer2025

Implantable artificial lymph node enables rapid in vivo neoantigen-specific T-cell generation and expansion for improving antitumor immunity.

Zhixiong Cai, Kongying Lin, Xiuqing Dong, Zhenli Li, Geng Chen, Luobin Guo, Pan Mou, Peizhe Chen, Junjing Huang, Ling Li and 3 more

Abstract read
In one paragraph

Article in Journal for immunotherapy of cancer, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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

3 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. 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

13 authors.

Zhixiong Cai *The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.ORCID http://orcid.org/0000-0002-0912-8372
Kongying Lin *The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Xiuqing Dong *The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Zhenli Li *The United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Geng ChenThe United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.ORCID http://orcid.org/0000-0002-2320-2161
Luobin GuoThe United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Pan MouThe United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Peizhe ChenThe United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Junjing HuangThe United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Ling LiThe United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Xiaolong LiuThe United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China xiaoloong.liu@gmail.com trjtrjtrj@163.com lamp197311@126.com.ORCID http://orcid.org/0000-0002-3096-4981
Ruijing TangThe United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China xiaoloong.liu@gmail.com trjtrjtrj@163.com lamp197311@126.com.ORCID http://orcid.org/0009-0008-5129-2097
Yongyi ZengThe United Innovation of Mengchao Hepatobiliary Technology Key Laboratory of Fujian Province, Mengchao Hepatobiliary Hospital of Fujian Medical University, Fuzhou, Fujian, China xiaoloong.liu@gmail.com trjtrjtrj@163.com lamp197311@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor neoantigen vaccines typically require multiple prime-boost immunizations over several weeks or even months to elicit sufficient neoantigen-specific T-cell responses, which greatly limits their effectiveness against rapidly progressing cancers, such as hepatocellular carcinoma.

methodsHere, we developed a functionalized alginate scaffold for T-cell activation as an artificial lymph node (FAST-LN) to rapidly and efficiently generate tumor neoantigen-specific T cells in vivo. The FAST-LN consists of an alginate scaffold crosslinked with calcium ions and hyaluronic acids conjugated with anti-TIM-3 (T cell immunoglobulin and mucin domain-containing protein-3) antibodies, then incorporates tumor neoantigen-encoding adenoviral vaccines, dendritic cells (DCs), and various cytokines (C-C motif chemokine ligand 21 (CCL21), interleukin (IL)-2, IL-4, and Granulocyte-Macrophage Colony Stimulating Factor (GM-CSF)) that maintain DC maturation and recruit T cells for antigen presentation.

resultsThis design facilitates efficient DC-T cell interactions within FAST-LN, enabling rapid generation of neoantigen-specific T cells for antitumor responses. In vivo antitumor studies demonstrated superior therapeutic efficacy of FAST-LN over traditional vaccines in mouse tumor models. Mechanistically, FAST-LN significantly enhanced tumor infiltration of CD8

conclusionsOur results demonstrate that implantable FAST-LN rapidly induces tumor neoantigen-specific T cells in vivo, offering a promising strategy for neoantigen-based cancer immunotherapy.

Indexed as

Antigens, NeoplasmCell Transformation, NeoplasticImplants, ExperimentalLymph NodesT-LymphocytesAlginatesAnimalsCancer VaccinesCarcinoma, HepatocellularCell Line, TumorDisease Models, AnimalHumansLiver Neoplasms, ExperimentalLung NeoplasmsMiceTissue ScaffoldsAlginatesAntigens, NeoplasmCancer VaccinesImmune Checkpoint InhibitorImmunotherapySolid tumorT cellVaccine

Identifiers

PMID41475843
PMCPMC12766791

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Registered trials

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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.