Evidence map›Paper›PMID 36558938›Full record

ArticlePharmaceuticals (Basel, Switzerland)2022

Nanoparticle-Delivered Transforming Growth Factor-β1 siRNA Induces PD-1 against Gastric Cancer by Transforming the Phenotype of the Tumor Immune Microenvironment.

Fenglei Wu, Xiujuan Xu, Wei Li, Yidong Hong, Huan Lai, Jingzhou Zhang, Xueyu Wu, Kangjie Zhou, Nan Hu

Open access · goldAbstract read
In one paragraph

Article in Pharmaceuticals (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Innovative nanoparticle strategies for treating oral cancers.Medical oncology (Northwood, London, England) · 2025
    Review
  5. 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

9 authors at 5 institutions in 1 country.

Fenglei WuDepartment of Oncology, The First Affiliated Hospital of Kangda College of Nanjing Medical University (The Affiliated Lianyungang Hospital of Xuzhou Medical University), Xuzhou 221004, China.
Xiujuan XuDepartment of Radiation Oncology, Lianyungang Second People's Hospital (Lianyungang Cancer Hospital), Lianyungang 222023, China.
Wei LiCenter of Research Laboratory, The First Affiliated Hospital of Kangda College of Nanjing Medical University (The Affiliated Lianyungang Hospital of Xuzhou Medical University), Xuzhou 221004, China.
Yidong HongDepartment of Oncology, The First Affiliated Hospital of Kangda College of Nanjing Medical University (The Affiliated Lianyungang Hospital of Xuzhou Medical University), Xuzhou 221004, China.
Huan LaiDepartment of Oncology, The First Affiliated Hospital of Kangda College of Nanjing Medical University (The Affiliated Lianyungang Hospital of Xuzhou Medical University), Xuzhou 221004, China.
Jingzhou ZhangDepartment of Oncology, The First Affiliated Hospital of Kangda College of Nanjing Medical University (The Affiliated Lianyungang Hospital of Xuzhou Medical University), Xuzhou 221004, China.
Xueyu WuDepartment of Oncology, The Affiliated Lianyungang Hospital of Xuzhou Medical University (The First People's Hospital of Lianyungang), Lianyungang 222002, China.
Kangjie ZhouDepartment of Oncology, The First Affiliated Hospital of Kangda College of Nanjing Medical University (The Affiliated Lianyungang Hospital of Xuzhou Medical University), Xuzhou 221004, China.
Nan HuDepartment of Oncology, The First Affiliated Hospital of Kangda College of Nanjing Medical University (The Affiliated Lianyungang Hospital of Xuzhou Medical University), Xuzhou 221004, China.
Nanjing Medical University · CNKangda College of Nanjing Medical UniversityThe First People’s Hospital of Lianyungang · CNXian Yang Central Hospital · CNXuzhou Medical College · CN

Funding

Clinical research project of Wu Jieping Foundation 320.6750.19058Jiangsu Provincial Natural Science Foundation BE2019693National Natural Science Foundation of China 81802347the foundation of Lianyungang City 521 LYG06521202124
6 · The paper itself

Abstract

Immune checkpoint blockade (ICB) is currently considered to be an important therapeutic method, which obtained FDA approval for clinical use in gastric cancer in 2017. As a new mechanism, it was found that the effect of αPDL1 could be improved by blocking the TGF-β1 signaling pathway, which converts the tumor immune microenvironment from the "immune-excluded phenotype" to the "immune-inflamed phenotype". Based on this phenomenon, this project was designed to prepare TGF-β1-siRNA-loaded PEG-PCL nanoparticles conjugated to αPDL1 (siTGF-β1-αPDL1-PEG-PCL) since we have linked similar antibodies to PEG-PCL previously. Therefore, MFC tumor-engrafted mice were established to simulate the biological characteristics of converting the phenotype of the immune microenvironment, and to study the anti-tumor effect and possible molecular mechanism. In this study, αPDL1 antibody conjugates markedly increased the cell uptake of NPs. The produced αPDL1-PEG-PCL NPs efficiently reduced the amounts of TGF-β1 mRNA in MFC cells, converting the immune microenvironment of MFC tumors engrafted mice from the "immune-excluded phenotype" to the "immune-inflamed phenotype". PDL1-harboring gastric cancer had increased susceptibility to αPDL1. The value of this drug-controlled release system targeting the tumor microenvironment in immune checkpoint therapy of gastric cancer would provide a scientific basis for clinically applying nucleic acid drugs.

Indexed as

gastric cancerimmunotherapynanoparticletumor microenvironment

Identifiers

PMID36558938
PMCPMC9787292
OpenAlexW4311040198

What OpenQuestion holds

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LicenceCC BY
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.