ArticleIranian journal of pharmaceutical research : IJPR2019
Lipid Nanocapsules for Imatinib Delivery: Design, Optimization and Evaluation of Anticancer Activity Against Melanoma Cell Line.
Article in Iranian journal of pharmaceutical research : IJPR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed, 21 citations in OpenAlex.
- Quantification and Engineering of Lipid Nanocapsule Formulations for the Delivery of Niclosamide as an Anti-Cancer Drug.Current pharmaceutical design · 2026Article
- Article
- Prophylactic effect of nano vitamin D3 against fatty degeneration caused by calcium-deficient diet in parotid salivary gland: a histological and ultrastructural study.BMC oral health · 2025Article
- In Vitro Cytotoxicity and In Vivo Antitumor Activity of Lipid Nanocapsules Loaded with Novel Pyridine Derivatives.Pharmaceutics · 2023Article
- Boosting the In Vivo Transdermal Bioavailability of Asenapine Maleate Using Novel Lavender Oil-Based Lipid Nanocapsules for Management of Schizophrenia.Pharmaceutics · 2023Article
- Insights into Lipid-Based Delivery Nanosystems of Protein-Tyrosine Kinase Inhibitors for Cancer Therapy.Pharmaceutics · 2022Review
- Nanotechnology of Tyrosine Kinase Inhibitors in Cancer Therapy: A Perspective.International journal of molecular sciences · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lipid nanocapsules (LNCs) represent a stable, biocompatible and worthwhile drug delivery system, demonstrating significant potential as gene/drug delivery platforms for cancer therapy. Imatinib, a potent tyrosine kinase inhibitor, has revolutionized the therapy of malignancies resulting from abnormal tyrosine kinase activity. However, its Clinical effectiveness in cancer treatment is hampered by its off-target side effects. In this study, we have investigated the potential benefits of LNCs as a novel drug delivery vehicle for imatinib with a view to improve drug efficacy. LNC formulations were prepared by phase-inversion temperature method and the effects of various formulation variables were assessed using full factorial design. The cytotoxicity and cellular uptake of optimized formulation were investigated against B16F10 melanoma cell line. Analysis of result by Design-Expert® software indicated that Solutol HS15 percent was the most effective parameter on the encapsulation efficiency, particle size, zeta potential, and release efficiency of LNCs. The optimized formulation revealed a particle size of 38.96 ± 0.84 nm, encapsulation efficiency of 99.17 ± 0.086%, zeta potential of -21.5 ± 0.61 mV, release efficiency of 60.03 ± 4.29, and polydispersity index of 0.24 ± 0.02. The imatinib loaded LNCs showed no hemolysis activity. Fluorescent microscopy test showed that the cellular uptake of LNCs was time dependent and density of fluorescent signals increased with time in cells. The
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.