Evidence map›Paper›PMID 33283584›Full record

ArticleJournal of biomaterials applications2021

The targeted inhibition of prostate cancer by iron-based nanoparticles based on bioinformatics.

Feng Xiao, Jiayu Liu, Yongbo Zheng, Zhen Quan, Wei Sun, Yao Fan, Chunli Luo, Hailiang Li, Xiaohou Wu

Open access · bronzeAbstract read
In one paragraph

Article in Journal of biomaterials applications, 2021. 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
0.3field-weighted citation impact, top 45% 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. Article
  2. Targeting prostate adenocarcinoma tumor microenvironment via cancer nanotheranostics: a comprehensive update on improved roadmap for disease diagnosis, therapy and management.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  3. Review
  4. Article
  5. 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

9 authors at 4 institutions in 1 country.

Feng XiaoDepartment of Urology, Chongqing Medical University First Affiliated Hospital, Chongqing, China.
Jiayu LiuDepartment of Urology, Chongqing Medical University First Affiliated Hospital, Chongqing, China.
Yongbo ZhengDepartment of Urology, Chongqing Medical University First Affiliated Hospital, Chongqing, China.
Zhen QuanDepartment of Urology, Chongqing Medical University First Affiliated Hospital, Chongqing, China.
Wei SunFuling Center Hospital of Chongqing City, Chongqing, China.
Yao FanDepartment of Urology, Chongqing Medical University First Affiliated Hospital, Chongqing, China.
Chunli LuoChongqing Medical University, Chongqing, China.
Hailiang LiGuangdong Second Provincial General Hospital, Guangzhou, China.ORCID 0000-0001-7759-6699
Xiaohou WuDepartment of Urology, Chongqing Medical University First Affiliated Hospital, Chongqing, China.
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Medical University · CNFuling Center Hospital of Chongqing · CNGuangdong Provincial People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer is an epithelial malignant tumor of the prostate, and it is one of the malignant tumors with a high incidence of urogenital system in men. The local treatment of prostate cancer is mainly radical resection and radical radiotherapy, but they are not applicable to advanced prostate cancer. Systemic therapy mainly includes targeted therapy and immunotherapy which could cause many complications, and will affect the prognosis and quality of life of patients. It is urgent to find new treatments for prostate cancer. Bioinformatics offers hope for us to find reliable therapeutic targets. Bioinformatics can use the tumor informations in database and analyze them to screen out the best differentially expressed genes. Using the selected differentially expressed genes as targets, a gene interference plasmid was designed, and the constructed plasmid was used for targeted gene therapy. There are some problems about gene therapy that need to be solved, such as how to transfer genes to target cells is also an important challenge. Due to their large molecular weight and hydrophilic nature, they cannot enter cells through passive diffusion mechanisms. Here we synthesized a DNA carrier used surface modified iron based nanoparticles, and used it to load plasmid including ShRNA which can inhibit the expression of oncogene SLC4A4 selected by bioinformatics' method. After that we use this iron based nanoparticles/plasmid DNA nanocomposite to treat prostate cancer cells in vitro and in vivo. The target gene SLC4A4 we had selected using bioinformatics had a strong effect on the proliferation of prostate cells; Our nanocomposite could inhibit the expression of SLC4A4 effectively, it had strong inhibitory effects on prostate cancer cells both in vivo and in vitro, and can be used as a potential method for prostate cancer treatment.

Indexed as

Computational BiologyCell Line, TumorDrug Delivery SystemsGene Expression Regulation, NeoplasticGenetic TherapyGene Transfer TechniquesHumansIronMaleNanoparticlesPlasmidsProstatic NeoplasmsQuality of LifeRNA, Small InterferingSodium-Bicarbonate SymportersIronRNA, Small InterferingSLC4A4 protein, humanSodium-Bicarbonate Symportersbioinformaticscancer inhibitiongene deliverygene therapynanoparticlesProstate cancertargeting

Identifiers

PMID33283584
PMCPMC8217887
OpenAlexW3110986294

What OpenQuestion holds

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LicenceCC BY-NC
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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.