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• W2222810747 abstract "Despite significant efforts to translate nanotechnology for cancer application, lack of identification of biodistribution/accumulation of these nanovehicles in vivo remains a substantial barrier for successful implementation of theranostic nanoparticles in the clinic. The purpose of the study was to develop a tumor-targeted theranostic nanovehicle for pancreatic cancer detectable by multispectral optoacoustic tomography (MSOT). To improve the tumor specificity of our mesoporous silica nanoparticle (MSN), we utilized a dual targeting strategy: 1) an elevated tumor receptor, urokinase plasminogen activator receptor (UPAR), and 2) the acidic tumor microenvironment. The tumor specificity of the MSN particle was improved with the addition of both chitosan, targeting acidic pH, and urokinase plasminogen activator (UPA), targeting UPAR. Drug release assays confirmed pH responsive release of gemcitabine in vitro. The UPAR specific binding of MSN-UPA nanoparticles was confirmed by reduction in fluorescence signal following MSN-UPA nanoparticle treatment in UPAR positive cells blocked with a UPAR-blocking antibody. Based upon Indocyanine Green encapsulation within the nanoparticles, UPA ligand targeted MSNs demonstrated increased intensity compared to untargeted MSNs at both pH7.4 (7×) and 6.5 (20×); however the signal was much more pronounced at a pH of 6.5 using tissue phantoms (p<0.05). In vivo, MSN-UPA particles demonstrated orthotopic pancreatic tumor specific accumulation compared to liver or kidney as identified using multispectral optoacoustic tomography (p<0.05) and confirmed by ex vivo analysis. By tracking in vivo nanoparticle biodistribution with MSOT, it was shown that pH responsive, ligand targeted MSNs preferentially bind to pancreatic tumors for payload delivery." @default.
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• W2222810747 date "2016-06-01" @default.
• W2222810747 modified "2023-10-14" @default.
• W2222810747 title "Identification of pancreatic tumors in vivo with ligand-targeted, pH responsive mesoporous silica nanoparticles by multispectral optoacoustic tomography" @default.
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• W2222810747 doi "https://doi.org/10.1016/j.jconrel.2015.12.055" @default.
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