Abstract

Abstract A major obstacle in the success of chemotherapy in ovarian cancer is the emergence of multidrug resistance (MDR). Overexpression of the MDR1 gene and corresponding P-glycoprotein (Pgp) efflux pumps is one of the best characterized MDR mechanisms. Although MDR1 siRNA based strategies are emerging as highly promising approaches to reverse MDR, the systemic delivery still remains a great challenge. In the present study, CD44 targeting hyaluronic acid (HA) based self-assembling nanoparticle systems were designed with MDR1 siRNA to evaluate its delivery efficiency and combination anticancer therapeutic efficacy with paclitaxel in vitro and in vivo. The results showed that HA-poly(ethyleneimine)/HA-poly(ethylene glycol) (HA-PEI/HA-PEG) nanoparticle successfully delivered MDR1 siRNA into MDR ovarian cancer cell lines, SKOV-3TR and OVCAR8TR. Western blot analysis, calcein AM retention assay, and MTT assay further demonstrated that HA-PEI/HA-PEG nanoparticles loaded with MDR1 siRNA efficiently down-regulated the expression of MDR1 and inhibited the functional activity of Pgp, and subsequently increase cell sensitivity to paclitaxel. HA-PEI/HA-PEG/MDR1 siRNA nanoparticle therapy followed by paclitaxel treatment produced a significant inhibitory effect on the drug-resistant tumor growth as compared with control groups in MDR ovarian cancer xenograft mouse models. These results indicated CD44-targeted HA-PEI/HA-PEG nanoparticle platform is an effective siRNA delivery system for potential siRNA-based anticancer therapeutics in ovarian cancer. Citation Format: Xiaoqian Yang, Arun lyer, Francis hornicek, Mansoor Amiji, Zhenfeng Duan. Hyaluronic acid-based CD44 targeted nanoparticle delivery of combination MDR1 siRNA/paclitaxel to overcome drug resistance in ovarian cancer. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr LB-13. doi:10.1158/1538-7445.AM2014-LB-13

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