| Literature DB >> 31503443 |
Assaf Zinger1, Lilach Koren1, Omer Adir1, Maria Poley1, Mohammed Alyan1, Zvi Yaari1, Nadav Noor2, Nitzan Krinsky1, Assaf Simon1, Hadas Gibori3, Majd Krayem1, Yelena Mumblat1, Shira Kasten1, Sivan Ofir1, Eran Fridman4, Neta Milman4, Michael M Lübtow5, Lior Liba6, Jeny Shklover1, Janna Shainsky-Roitman1, Yoav Binenbaum4, Dov Hershkovitz7, Ziv Gil4, Tal Dvir2, Robert Luxenhofer5, Ronit Satchi-Fainaro3, Avi Schroeder1.
Abstract
Overexpressed extracellular matrix (ECM) in pancreatic ductal adenocarcinoma (PDAC) limits drug penetration into the tumor and is associated with poor prognosis. Here, we demonstrate that a pretreatment based on a proteolytic-enzyme nanoparticle system disassembles the dense PDAC collagen stroma and increases drug penetration into the pancreatic tumor. More specifically, the collagozome, a 100 nm liposome encapsulating collagenase, was rationally designed to protect the collagenase from premature deactivation and prolonged its release rate at the target site. Collagen is the main component of the PDAC stroma, reaching 12.8 ± 2.3% vol in diseased mice pancreases, compared to 1.4 ± 0.4% in healthy mice. Upon intravenous injection of the collagozome, ∼1% of the injected dose reached the pancreas over 8 h, reducing the level of fibrotic tissue to 5.6 ± 0.8%. The collagozome pretreatment allowed increased drug penetration into the pancreas and improved PDAC treatment. PDAC tumors, pretreated with the collagozome followed by paclitaxel micelles, were 87% smaller than tumors pretreated with empty liposomes followed by paclitaxel micelles. Interestingly, degrading the ECM did not increase the number of circulating tumor cells or metastasis. This strategy holds promise for degrading the extracellular stroma in other diseases as well, such as liver fibrosis, enhancing tissue permeability before drug administration.Entities:
Keywords: collagen; extracellular matrix; fibrosis; liposome; nanoparticle; paclitaxel micelles; pancreatic cancer
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Year: 2019 PMID: 31503443 PMCID: PMC6837877 DOI: 10.1021/acsnano.9b02395
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881