Evidence map›Paper›PMID 38496987›Full record

ArticleACS omega2024

Co-Delivery of siRNA and Docetaxel to Cancer Cells by NLC for Therapy.

Behiye Şenel, Ebru Başaran, Evrim Akyıl, Umay Merve Güven, Gülay Büyükköroğlu

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. 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

5 authors at 2 institutions in 2 countries.

Behiye ŞenelFaculty of Pharmacy, Department of Pharmaceutical Biotechnology, Anadolu University, 26470 Eskisehir, Türkiye.ORCID https://orcid.org/0000-0001-9747-8307
Ebru BaşaranFaculty of Pharmacy, Department of Pharmaceutical Technology, Anadolu University, 26470 Eskisehir, Türkiye.
Evrim AkyılFaculty of Pharmacy, Department of Pharmaceutical Technology, Anadolu University, 26470 Eskisehir, Türkiye.
Umay Merve GüvenFaculty of Pharmacy, Department of Pharmaceutical Technology, Cukurova University, 01330 Adana, Türkiye.
Gülay BüyükköroğluFaculty of Pharmacy, Department of Pharmaceutical Biotechnology, Anadolu University, 26470 Eskisehir, Türkiye.
Anadolu University · TRCukurova University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aims to develop a delivery system that can carry small interference RNA (siRNA) with small-molecule chemotherapeutic drugs, which can be used in cancer treatment. The drug delivery system combines the advantages of a therapeutic agent with two different mechanisms to ensure that it is used efficiently for cancer therapy. In this study, a nanostructured lipid carrier system was prepared, Docetaxel was loaded to these systems, and the Eph siRNA was adsorbed to the outer surface. In addition, DOTAP was added to the lipophilic phase to load a positive charge on the lipidic structure for interaction with the cells. Moreover, characterization, cytotoxicity, and transfection procedures were performed on the whole system. This candidate system was also compared to Taxotere, which is the first approved Docetaxel-containing drug on the market. Given the results, it was determined that the particle size of NLC-DTX was 165.3 ± 3.5 nm, the ζ potential value was 38.2 ± 1.7 mV, and the PDI was 0.187 ± 0.024. Entrapment efficacy of nanoparticles was found to be 92.89 ± 0.21%. It was determined that the lipidic system prepared

Identifiers

PMID38496987
PMCPMC10938417
OpenAlexW4392193677

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.