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  • Title: Development and In Vitro Evaluation of Crizotinib-Loaded Lipid-Polymer Hybrid Nanoparticles Using Box-Behnken Design in Non-small Cell Lung Cancer.
    Author: Korucu Aktas P, Baysal I, Yabanoglu-Ciftci S, Arica B.
    Journal: AAPS PharmSciTech; 2023 Sep 02; 24(7):178. PubMed ID: 37658977.
    Abstract:
    The goal of the study was to produce, optimize, characterize, and compare crizotinib-loaded lipid-polymer hybrid nanoparticles (CL-LPHNPs), representing a novel contribution to the existing literature, and to determine their anticancer activity in non-small cell lung cancer cells (NSCLC). Box-Behnken design was used to investigate the effect of three independent variables: polymer amount (X1), soy phosphatidylcholine (X2), and DSPE-PEG (X3), on three responses: particle size (Y1), polydispersity index (Y2), and zeta potential (Y3). Different parameters were evaluated on the optimized LPHNP formulations such as encapsulation efficiency, drug release study, transmission electron microscopy (TEM) image analysis, and in vitro cell evaluations. The mean particle size of the optimized formulation is between 120 and 220 nm with a PDI< 0.2 and a zeta potential of -10 to -15 mV. The encapsulation efficiency values of crizotinib-loaded PLGA-LPHNPs (CL-PLGA-LPHNPs) and crizotinib-loaded PCL-LPHNPs (CL-PCL-LPHNPs) were 79.25±0.07% and 70.93±1.81%, respectively. Drug release study of CL-PLGA-LPHNPs and CL-PCL-LPHNPs showed a controlled and sustained release pattern as a result of core-shell type. Additionally, after 48 h, CL-PLGA-LPHNPs and CL-PCL-LPHNPs significantly reduced the viability of NCI-H2228 cells compared to free crizotinib. Moreover, CL-PLGA-LPHNPs and CL-PCL-LPHNPs exhibited a significant decrease in RAS, RAF, MEK, and ERK gene/protein expression levels after 48-h incubation. In conclusion, this pioneering study introduces lipid-polymer hybrid nanoparticles containing crizotinib as a novel treatment approach, uniting the advantages of a polymeric core and a lipid shell. The successful formulation optimization using Box-Behnken design yielded nanoparticles with adjustable size, remarkable stability, high drug loading, and a customizable drug release profile. Extensive investigations of key parameters, including particle size, PDI, ZP, TEM analysis, drug release, EE%, and in vitro evaluations, validate the potential of these nanoparticles. Moreover, the examination of two different polymers, PLGA and PCL, highlights their distinct impacts on nanoparticle performance. This research opens up new prospects for advanced therapeutic interventions with lipid-polymer hybrid nanoparticles.
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