Selective interaction of PEGylated polyglutamic acid nanocapsules with cancer cells in a 3D model of a metastatic lymph node

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Abstract

Background Metastases are the most common reason of cancer death in patients with solid tumors. Lymph nodes, once invaded by tumor cells, act as reservoirs before cancer cells spread to distant organs. To address the limited access of intravenously infused chemotherapeutics to the lymph nodes, we have developed PEGylated polyglutamic acid nanocapsules (PGA-PEG NCs), which have shown ability to reach and to accumulate in the lymphatic nodes and could therefore act as nanotransporters. Once in the lymphatics, the idea is that these nanocapsules would selectively interact with cancer cells, while avoiding non-specific interactions with immune cells and the appearance of subsequent immunotoxicity. Results The potential of the PGA-PEG NCs, with a mean size of 100 nm and a negative zeta potential, to selectively reach metastatic cancer cells, has been explored in a novel 3D model that mimics an infiltrated lymph node. Our 3D model, a co-culture of cancer cells and lymphocytes, allows performing experiments under dynamic conditions that simulate the lymphatic flow. After perfusion of the nanocarriers, we observe a selective interaction with the tumor cells. Efficacy studies manifest the need to develop specific therapies addressed to treat metastatic cells that can be in a dormant state. Conclusions We provide evidence of the ability of PGA-PEG NCs to selectively interact with the tumor cells in presence of lymphocytes, highlighting their potential in cancer therapeutics. We also state the importance of designing precise in vitro models that allow performing mechanistic assays, to efficiently develop and evaluate specific therapies to confront the formation of metastasis

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Alonso-Nocelo M, Abellan-Pose R, Vidal A, Abal M, Csaba N, Alonso M et al. Selective interaction of PEGylated polyglutamic acid nanocapsules with cancer cells in a 3D model of a metastatic lymph node. Journal of Nanobiotechnology. 2016;14(1)

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The authors acknowledge financial support given by the Carlos III Health Institute (ISCIII) and European Regional Development Fund (FEDER) (CP12/03150, PIE13/00024 and PI15/00828), ERA-NET EuroNanoMed 2009 (Lymphotarg PI09/2670) and EuroNanoMed 2013 (053 NICHE). The first author also acknowledges a fellowship received from the Fundación Ramón Domínguez, Spain. Abellan-Pose also acknowledges a fellowship from the Biomedical Sciences and Health Technologies Doctoral School-University of Santiago de Compostela (Spain)

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Reconocimiento 3.0 España