Evidence map›Paper›PMID 41281640›Full record

ArticleMaterials today. Bio2025

Biohybrid system EcN@PB for reshaping tumor immunosuppressive microenvironment to improve photothermal therapy induced antitumor immune response.

Qiang Feng, Hui Zhang, Guixian Ye, Jialiang Zhang, Jianbin Xiao, Zhiyu Wang, Jinyu Zhang, Meiqi Pan, Jukai Feng, Yang Zhong and 3 more

Abstract read
In one paragraph

Article in Materials today. Bio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. AgBiSMaterials today. Bio · 2026
    Article
  2. Article
  3. 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

13 authors.

Qiang FengInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Hui ZhangDepartment of Hepatobiliary and Pancreatic Surgery, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Guixian YeInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Jialiang ZhangInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Jianbin XiaoInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Zhiyu WangInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Jinyu ZhangInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Meiqi PanInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Jukai FengInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Yang ZhongInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Zhongying ShiInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Jianmin WangInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.
Jingfeng LiuInnovation Center for Cancer Research, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, 350014, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photothermal therapy (PTT) is a promising tumor treatment with high selectivity, precise targeting, and low side effects. It induces photothermal ablation of tumors, and activates anti-tumor immune response by promoting immunogenic cell death (ICD) of tumor cells. Prussian Blue (PB) mediated PTT has made great progress, but high interstitial fluid pressure and solid stress in tumors significantly inhibited PB accumulation and diffusion, seriously affecting its PTT effect. Herein, we constructed a novel biohybrid system EcN@PB to enhance the PB-mediated photothermal immunotherapy. EcN@PB utilized the inherent tumor targeting ability of EcN to achieve precise delivery of PB to the tumor. On tumor-bearing mouse model, we demonstrated that EcN@PB selectively accumulated in tumors and achieved efficient photothermal ablation upon near-infrared laser irradiation, effectively inhibited the growth of primary tumor. Moreover, EcN@PB-mediated PTT induced ICD in tumor cells, promoted the maturation of dendritic cells, enhanced the infiltration of cytotoxic T lymphocytes and inhibited the recruitment of regulatory T cells in tumor tissues. Notably, EcN, as an immune adjuvant, effectively induced the polarization of tumor-associated macrophages towards the anti-tumor M1 phenotype, further reshaped the tumor immune microenvironment and activated systemic anti-tumor immune response. Therefore, EcN@PB-mediated photothermal-immunotherapy significantly inhibited the growth of distant tumors and prevented recurrence. Overall, EcN@PB significantly enhanced the targeted delivery of PB to tumor tissues and offered a promising strategy for photothermal-immunotherapy by leveraging the pathogen-associated molecular patterns carried by EcN to activate anti-tumor immune response.

Indexed as

Escherichia coli Nissle 1917Photothermal-immunotherapyPrussian blueTumor-targeting

Identifiers

PMID41281640
PMCPMC12637071

What OpenQuestion holds

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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.