Literature DB >> 26203676

Spatiotemporal Targeting of a Dual-Ligand Nanoparticle to Cancer Metastasis.

Elizabeth Doolittle1, Pubudu M Peiris1, Gilad Doron1, Amy Goldberg1, Samantha Tucci1, Swetha Rao1, Shruti Shah1, Meilyn Sylvestre1, Priya Govender1, Oguz Turan1, Zhenghong Lee1, William P Schiemann1, Efstathios Karathanasis1.   

Abstract

Various targeting strategies and ligands have been employed to direct nanoparticles to tumors that upregulate specific cell-surface molecules. However, tumors display a dynamic, heterogeneous microenvironment, which undergoes spatiotemporal changes including the expression of targetable cell-surface biomarkers. Here, we investigated a dual-ligand nanoparticle to effectively target two receptors overexpressed in aggressive tumors. By using two different chemical specificities, the dual-ligand strategy considered the spatiotemporal alterations in the expression patterns of the receptors in cancer sites. As a case study, we used two mouse models of metastasis of triple-negative breast cancer using the MDA-MB-231 and 4T1 cells. The dual-ligand system utilized two peptides targeting P-selectin and αvβ3 integrin, which are functionally linked to different stages of the development of metastatic disease at a distal site. Using in vivo multimodal imaging and post mortem histological analyses, this study shows that the dual-ligand nanoparticle effectively targeted metastatic disease that was otherwise missed by single-ligand strategies. The dual-ligand nanoparticle was capable of capturing different metastatic sites within the same animal that overexpressed either receptor or both of them. Furthermore, the highly efficient targeting resulted in 22% of the injected dual-ligand nanoparticles being deposited in early-stage metastases within 2 h after injection.

Entities:  

Keywords:  cancer metastasis; dual-ligand nanoparticle; triple-negative breast cancer; vascular targeting

Mesh:

Substances:

Year:  2015        PMID: 26203676      PMCID: PMC4579532          DOI: 10.1021/acsnano.5b01552

Source DB:  PubMed          Journal:  ACS Nano        ISSN: 1936-0851            Impact factor:   15.881


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