Evidence map›Paper›PMID 34400328›Full record

ArticleMolecular therapy : the journal of the American Society of Gene Therapy2022

Targeting of pancreatic cancer cells and stromal cells using engineered oncolytic Salmonella typhimurium.

Wenzhi Tan, Mai Thi-Quynh Duong, Chaohui Zuo, Yeshan Qin, Ying Zhang, Yanxia Guo, Yeongjin Hong, Jin Hai Zheng, Jung-Joon Min

Open access · greenAbstract read
In one paragraph

Article in Molecular therapy : the journal of the American Society of Gene Therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
6.9field-weighted citation impact, top 2% of its field
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

54 citing papers in PubMed, 72 citations in OpenAlex.

  1. Review
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  6. Microbial medicines: Unlocking the therapeutic potential of the microbiome in cancer treatment.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Review
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  9. Microbiota in cancer: current understandings and future perspectives.Signal transduction and targeted therapy · 2026
    Review
  10. Article
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  12. The authors respond to feedback onFrontiers in oncology · 2026
    Article
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  14. Optimization Strategies and Synergistic Applications of EngineeredInternational journal of nanomedicine · 2026
    Review
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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

9 authors at 3 institutions in 2 countries.

Wenzhi TanSchool of Biomedical Sciences, Hunan University, Changsha, Hunan 410082, China.
Mai Thi-Quynh DuongInstitute for Molecular Imaging and Theranostics, Chonnam National University Hwasun Hospital, Jeonnam 58128, Republic of Korea.
Chaohui ZuoDepartment of Gastroduodenal and Pancreatic Surgery, Hunan Cancer Hospital, Changsha, Hunan 410013, China.
Yeshan QinInstitute for Molecular Imaging and Theranostics, Chonnam National University Hwasun Hospital, Jeonnam 58128, Republic of Korea.
Ying ZhangInstitute for Molecular Imaging and Theranostics, Chonnam National University Hwasun Hospital, Jeonnam 58128, Republic of Korea.
Yanxia GuoSchool of Biomedical Sciences, Hunan University, Changsha, Hunan 410082, China.
Yeongjin HongDepartment of Microbiology, Chonnam National University Medical School, Gwangju 61469, Republic of Korea.
Jin Hai ZhengSchool of Biomedical Sciences, Hunan University, Changsha, Hunan 410082, China; Institute for Molecular Imaging and Theranostics, Chonnam National University Hwasun Hospital, Jeonnam 58128, Republic of Korea. Electronic address: jhzheng@hnu.edu.cn.
Jung-Joon MinInstitute for Molecular Imaging and Theranostics, Chonnam National University Hwasun Hospital, Jeonnam 58128, Republic of Korea; Department of Nuclear Medicine, Chonnam National University Hwasun Hospital, Jeonnam 58128, Republic of Korea. Electronic address: jjmin@jnu.ac.kr.
Chonnam National University Hwasun Hospital · KRHunan University · CNHunan Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pancreatic cancer is resistant to conventional therapeutic interventions, mainly due to abundant cancer stromal cells and poor immune cell infiltration. Here, we used a targeted cancer therapy approach based on attenuated Salmonella typhimurium engineered to express cytolysin A (ClyA) to target cancer stromal cells and cancer cells and treat pancreatic cancer in mice. Nude mice bearing subcutaneous or orthotopic human pancreatic cancers were treated with engineered S. typhimurium expressing ClyA. The tumor microenvironment was monitored to analyze stromal cell numbers, stromal cell marker expression, and immune cell infiltration. The attenuated bacteria accumulated and proliferated specifically in tumor tissues after intravenous injection. The bacteria secreted ClyA into the tumor microenvironment. A single dose of ClyA-expressing Salmonella markedly inhibited growth of pancreatic cancer both in subcutaneous xenograft- and orthotopic tumor-bearing nude mice. Histological analysis revealed a marked decrease in expression of stromal cell markers and increased immune cell (neutrophils and macrophages) infiltration into tumors after colonization by ClyA-expressing bacteria. ClyA-expressing S. typhimurium destroyed cancer stromal cells and cancer cells in mouse models of human pancreatic cancer. This approach provides a novel strategy for combining anticancer and anti-stromal therapy to treat pancreatic cancer.

Indexed as

Pancreatic NeoplasmsSalmonella typhimuriumAnimalsDisease Models, AnimalHumansMiceMice, NudeStromal CellsTumor Microenvironmentbacterial cancer therapycancer stromal cellsClyAcytolysin Aimmune cell infiltrationpancreatic cancer

Identifiers

PMID34400328
PMCPMC8821930
OpenAlexW3193479234

What OpenQuestion holds

Textmetadata
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.