Evidence map›Paper›PMID 35530631›Full record

ReviewRSC advances2019

Functionalized gold nanostructures: promising gene delivery vehicles in cancer treatment.

Sanjay Kumar, Anchita Diwan, Parinita Singh, Shikha Gulati, Devanshu Choudhary, Ayush Mongia, Shefali Shukla, Akanksha Gupta

Abstract readReview
In one paragraph

Review in RSC advances, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Nanotechnology in drug and gene delivery.Naunyn-Schmiedeberg's archives of pharmacology · 2022
    Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. 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

8 authors.

Sanjay KumarDepartment of Chemistry, Sri Venkateswara College, University of Delhi Delhi-110021 India shikha2gulati@gmail.com.
Anchita DiwanDepartment of Chemistry, Sri Venkateswara College, University of Delhi Delhi-110021 India shikha2gulati@gmail.com.
Parinita SinghDepartment of Chemistry, Sri Venkateswara College, University of Delhi Delhi-110021 India shikha2gulati@gmail.com.
Shikha GulatiDepartment of Chemistry, Sri Venkateswara College, University of Delhi Delhi-110021 India shikha2gulati@gmail.com.ORCID https://orcid.org/0000-0002-1894-9842
Devanshu ChoudharyDepartment of Chemistry, Sri Venkateswara College, University of Delhi Delhi-110021 India shikha2gulati@gmail.com.
Ayush MongiaDepartment of Chemistry, Sri Venkateswara College, University of Delhi Delhi-110021 India shikha2gulati@gmail.com.
Shefali ShuklaDepartment of Chemistry, Sri Venkateswara College, University of Delhi Delhi-110021 India shikha2gulati@gmail.com.
Akanksha GuptaDepartment of Chemistry, Sri Venkateswara College, University of Delhi Delhi-110021 India shikha2gulati@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surface-modified gold nanoparticles are recognized as promising gene delivery vehicles in the treatment of cancer owing to their excellent biocompatibility with biomolecules (like DNA or RNA) and their unique optical and structural properties. In this context, this review article focuses on the diverse transfection abilities of the gene to the targeted cell on the basis of different shapes and sizes of gold nanoparticles in order to promote its effective expression for cancer treatment. In addition, recent trends in gold nanoparticle mediated gene silencing, gene delivery, detection and combinatory therapies are highlighted considering their cytotoxic effects on healthy human cells.

Identifiers

PMID35530631
PMCPMC9069781

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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.