Literature DB >> 31839764

Binary Targeting of siRNA to Hematologic Cancer Cells In Vivo using Layer-by-Layer Nanoparticles.

Ki Young Choi1,2,3, Santiago Correa1,4, Jouha Min1,2, Jiahe Li1,2, Sweta Roy1, Kristiana H Laccetti1, Erik Dreaden1,2, Stephanie Kong1,2, Roun Heo5, Young Hoon Roh1,2,6, Edward C Lawson7, Peter A Palmer7, Paula T Hammond1,2.   

Abstract

Using siRNA therapeutics to treat hematologic malignancies has been unsuccessful because blood cancer cells exhibit remarkable resistance to standard transfection methods. Herein we report the successful delivery of siRNA therapeutics with a dual-targeted, layer-by-layer nanoparticle (LbL-NP). The LbL-NP protects siRNA from nucleases in the bloodstream by embedding it within polyelectrolyte layers that coat a polymeric core. The outermost layer consists of hyaluronic acid (a CD44-ligand) covalently conjugated to CD20 antibodies. The CD20/CD44 dual-targeting outer layer provides precise binding to blood cancer cells, followed by receptor-mediated endocytosis of the LbL-NP. We use this siRNA delivery platform to silence B-cell lymphoma 2 (BCL-2), a pro-survival protein, in vitro and in vivo. The dual-targeting approach significantly enhanced internalization of BCL-2 siRNA in lymphoma and leukemia cells, which led to significant downregulation of BCL-2 expression. Systemic administration of the dual-targeted, siRNA-loaded nanoparticle induced apoptosis and hampered proliferation of blood cancer cells both in cell culture and in orthotopic non-Hodgkin's lymphoma animal models. These results provide the basis for approaches to targeting blood-borne cancers and other diseases, and suggest that LbL nanoassemblies are a promising approach for delivering therapeutic siRNA to hematopoetic cell types that are known to evade transfection by other means.

Entities:  

Keywords:  BCL-2; hematologic cancer; layer-by-layer nanoparticles; lymphoma; siRNA

Year:  2019        PMID: 31839764      PMCID: PMC6910249          DOI: 10.1002/adfm.201900018

Source DB:  PubMed          Journal:  Adv Funct Mater        ISSN: 1616-301X            Impact factor:   18.808


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