A novel immunocompetent murine tumor model for the evaluation of RCAd-enhanced RDAd transduction efficacy.

Published

Journal Article

Low gene transfer rate in tumors, high dose-induced acute inflammatory response, and lack of an immunocompetent preclinical animal model to accurately reflect the therapeutic efficacy are prominent reasons for the lack of clinical success of adenoviral (Ad) vectors. In this study, we tested whether human replication-competent adenovirus (RCAd) can replicate in T739 mouse bladder transitional tumor cells (BTT) and lung adenocarcinoma cells (LA795), and whether RCAd can enhance the transduction rate and transgene expression of human replication defective adenoviruses (RDAd) in these tumor cells in vitro and in vivo. We demonstrated that human RCAd exhibited good infectability and cytopathologic effects in mouse BTT and LA795 cells, which was comparable to that in A549 and NCIH460 human tumor cells. In contrast, no infectability and cytopathologic effects were observed in other three mouse tumor cells such as 4T1, B16, and Lewis cells. The combined use of RCAd with RDAd significantly enhanced RDAd transduction efficiency in BTT and LA795 tumor cells in vitro and in vivo. When BTT and LA795 cells were co-infected with RDAd Ad-EGFP and RCAd, a large amount of E1a expression and 2-3 orders of increases in Ad-EGFP genomic DNA were observed. In contrast, the expression of the late gene Hexon is very low, which may explain ineffective packaging of viral particles. In conclusion, our study provided a novel immunocompetent animal model which is useful for evaluating RCAd infectability, cytopathy, and replication. The combined use of RCAd and RDAd provided a new solution for cancer gene therapy.

Full Text

Duke Authors

Cited Authors

  • Wang, H; Wei, F; Zhang, J; Wang, F; Li, H; Chen, X; Xie, K; Wang, Y; Li, C; Huang, Q

Published Date

  • August 2012

Published In

Volume / Issue

  • 33 / 4

Start / End Page

  • 1245 - 1253

PubMed ID

  • 22627833

Pubmed Central ID

  • 22627833

Electronic International Standard Serial Number (EISSN)

  • 1423-0380

Digital Object Identifier (DOI)

  • 10.1007/s13277-012-0374-7

Language

  • eng

Conference Location

  • United States