Evidence map›Paper›PMID 32587849›Full record

ArticleFrontiers in bioengineering and biotechnology2020

Dual-Targeting Nanoparticle-Mediated Gene Therapy Strategy for Hepatocellular Carcinoma by Delivering Small Interfering RNA.

Qi Chang Zheng, Shuai Jiang, Yu Zhe Wu, Dan Shang, Yong Zhang, Shao Bo Hu, Xiang Cheng, Chen Zhang, Ping Sun, Yang Gao and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Review
  6. The Role of Small Interfering RNAs in Hepatocellular Carcinoma.Journal of gastrointestinal cancer · 2024
    Review
  7. Review
  8. Review
  9. Article
  10. Recent Advances of Chitosan Formulations in Biomedical Applications.International journal of molecular sciences · 2022
    Review
  11. Review
  12. Review
  13. Drug delivery · 2021
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Qi Chang ZhengDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Shuai JiangDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Yu Zhe WuDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Dan ShangDepartment of Vascular Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Yong ZhangDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Shao Bo HuDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Xiang ChengDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Chen ZhangDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Ping SunDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Yang GaoDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Zi Fang SongDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Min LiDepartment of Hepatobiliary Surgery, Tongji Medical College, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
Union Hospital · CNHuazhong University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As a gene therapy strategy, RNA interference (RNAi) offers tremendous tumor therapy potential. However, its therapeutic efficacy is restricted by its inferior ability for targeted delivery and cellular uptake of small interfering RNA (siRNA). This study sought to develop a dual-ligand nanoparticle (NP) system loaded with siRNA to promote targeted delivery and therapeutic efficacy. We synthesized a dual receptor-targeted chitosan nanosystem (GCGA), whose target function was controlled by the ligands of galactose of lactobionic acid (LA) and glycyrrhetinic acid (GA). By loading siPAK1, an siRNA targeting P21-activated kinase 1 (PAK1), a molecular-targeted therapeutic dual-ligand NP (GCGA-siPAK1) was established. We investigated the synergistic effect of these two targeting units in hepatocellular carcinoma (HCC). In particular, GCGA-siPAK1 enhanced the NP targeting ability and promoted siPAK1 cell uptake. Subsequently, dramatic decreases in cell proliferation, invasion, and migration, with an apparent increase in cell apoptosis, were observed in treated cells. Furthermore, this dual-ligand NP gene delivery system demonstrated significant anti-tumor effects in tumor-bearing mice. Finally, we illuminated the molecular mechanism, whereby GCGA-siPAK1 promotes endogenous cell apoptosis through the PAK1/MEK/ERK pathway. Thus, the dual-target property effectively promotes the HCC therapeutic effect and provides a promising gene therapy strategy for clinical applications.

Indexed as

chitosandrug deliverygene therapyhepatocellular carcinomasmall interfering RNAtargeted therapy

Identifiers

PMID32587849
PMCPMC7297947
OpenAlexW4251439077

What OpenQuestion holds

Textmetadata
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.