Abstract

Abstract Tumors are characterized by uneven vascular perfusion with near normal blood flow in the outer most regions, while the inner regions can be avascular. In addition, elevated interstitial fluid pressure and rigid extracellular matrix compromise intra-tumoral solute transport and hence limited drug efficacy. Mesenchymal stem cells (MSCs) have the unique advantage of being able to migrate specifically to both primary tumors and metastases following systemic administration. However, poor payload capacity of MSCs limits their use as drug delivery carriers. To address this issue, we investigated polymeric nanoparticles that were functionalized with transactivator of transcription (TAT) peptide. Paclitaxel loaded PLGA nanoparticles (15-16 % w/w paclitaxel; diameter of 225 ± 7 nm; and zeta potential of −15 ± 4 mV) were prepared by emulsion-solvent evaporation method, followed by TAT-conjugation to the surface of nanoparticles via maleimide-thiol chemistry. Nanoengineered MSCs were generated by incubating MSCs in suspension with 100 µg/mL paclitaxel loaded nanoparticles for 4 hours at 37°C. Our studies demonstrated that TAT functionalization improved the paclitaxel loading in MSCs. In addition, engineering MSCs with TAT functionalized nanoparticles did not affect the differentiation and migration properties of MSCs. Further, MSCs engineered with TAT peptide functionalized nanoparticles resulted in significant inhibition of tumor growth and overall improved survival in a mouse orthotopic model of lung cancer compared to that with free drug treatment. In summary, our results demonstrated that MSCs nanoengineered using TAT functionalized nanoparticles can serve as an efficient carrier for tumor specific delivery of anticancer drugs, resulting in greatly improved therapeutic efficacy. Citation Format: Swayam Prabha, Gopikrishna Moku, Buddhadev Layek, Jayanth Panyam. Mesenchymal stem cells engineered with TAT peptide functionalized nanoparticles improve therapeutic efficacy of paclitaxel in an orthotopic lung tumor model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 3623.

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