Literature DB >> 32276005

Engineering peptide-targeted liposomal nanoparticles optimized for improved selectivity for HER2-positive breast cancer cells to achieve enhanced in vivo efficacy.

Baksun Kim1, Jaeho Shin1, Junmin Wu2, David T Omstead1, Tanyel Kiziltepe3, Laurie E Littlepage4, Basar Bilgicer5.   

Abstract

Here, we report rationally engineered peptide-targeted liposomal doxorubicin nanoparticles that have an enhanced selectivity for HER2-positive breast tumor cells with high purity, reproducibility, and precision in controlling stoichiometry of targeting peptides. To increase HER2-positive tumor cell selective drug delivery, we optimized the two most important design parameters, peptide density and linker length, via systematic evaluations of their effects on both in vitro cellular uptake and in vivo tumor accumulation and cellular uptake. The optimally designed nanoparticles were finally evaluated for their tumor inhibition efficacy using in vivo MMTV-neu transplantation mouse model. In vitro, we demonstrated that ~1% peptide density and EG8 linker were optimal parameters for targeted nanoparticle formulations to enhance HER2-positive cancer cellular uptake while preventing non-selectivity. In vivo results demonstrated that at 0.5% peptide density, enhancement of tumor cell uptake over non-targeted nanoparticles was ~2.7 fold and ~3.4 fold higher for targeted nanoparticles with EG8 and EG18 linker, respectively, while their accumulation levels at tumor tissue were similar to the non-targeted nanoparticles. These results were consistent with in vivo efficacy outcomes that ~90% tumor growth inhibition was achieved by Dox-loaded HER2 receptor targeted nanoparticles, TNPHER2pep, over control while all nanoparticle formulations minimized overall systemic toxicity relative to free Dox. This study highlights the significance of understanding and optimizing the effects of liposomal nanoparticle design parameters for enhancement of tumor selectivity to achieve improved in vivo therapeutic outcomes.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Breast cancer; HER2 targeted nanoparticle; Optimizing targeted nanoparticle formulation; Peptide targeting

Mesh:

Substances:

Year:  2020        PMID: 32276005      PMCID: PMC7932755          DOI: 10.1016/j.jconrel.2020.04.010

Source DB:  PubMed          Journal:  J Control Release        ISSN: 0168-3659            Impact factor:   9.776


  43 in total

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