MOESM3 of Tumor specific liposomes improve detection of pancreatic adenocarcinoma in vivo using optoacoustic tomography

Additional file 3: Figure S3.   Representative locations of organs on MSOT at both 46 and 49 mm. Organs are noted PT = Pancreas tumor, S = Spleen, L = Liver, BV = Blood vessel, K = Kidney

MOESM1 of Tumor specific liposomes improve detection of pancreatic adenocarcinoma in vivo using optoacoustic tomography

Additional file 1: Figure S1.   Structures of the lipids used for control and Sdc1-tagged liposome synthesis

MOESM2 of Tumor specific liposomes improve detection of pancreatic adenocarcinoma in vivo using optoacoustic tomography

Additional file 2: Figure S2. Absorption spectrum for CF-750 encapsulated Sdc1 liposomes. The liposomes demonstrated fluorescence activity with peak absorbance at 750 nm. Encapsulating the CF-750 dye within the Sdc1 liposomes did not change the optical activity of the dye

Active Targeting Significantly Outperforms Nanoparticle Size in Facilitating Tumor-Specific Uptake in Orthotopic Pancreatic Cancer

Nanoparticles are widely studied as theranostic vehicles for cancer; however, clinical translation has been limited due to poor tumor specificity. Features that maximize tumor uptake remain controversial, particularly when using clinically relevant models. We report a systematic study that assesses two major features for the impact on tumor specificity, i.e., active vs passive targeting and nanoparticle size, to evaluate relative influences in vivo. Active targeting via the V7 peptide is superior to passive targeting for uptake by pancreatic tumors, irrespective of nanoparticle size, observed through in vivo imaging. Size has a secondary effect on uptake for actively targeted nanoparticles in which 26 nm nanoparticles outperform larger 45 and 73 nm nanoparticles. Nanoparticle size had no significant effect on uptake for passively targeted nanoparticles. Results highlight the superiority of active targeting over nanoparticle size for tumor uptake. These findings suggest a framework for optimizing similar nonaggregate nanoparticles for theranostic treatment of recalcitrant cancers