Rational engineering of microRNA-regulated viruses for cancer gene therapy
Year: 2013
Type: article
Abstract: MicroRNAs (miRNAs) are small noncoding RNA molecules that have important regulatory roles in a wide range of biological processes. miRNAs are often expressed in a tissue- and/or differentiation state-specific patterns, and it is estimated that miRNAs can regulate the expression of more than 50% of all human genes. We have exploited these tissue-specific miRNA expression patterns in the modification of viral replicative tropism. In order to engineer the replicative tropism of oncolytic adenoviruses, we developed a recombinant adenovirus that in the 3 UTR of the critical E1A gene contains sequences complementary to the liver-specific miRNA miR122. This allowed us to generate a novel recombinant adenovirus that was severely attenuated in human liver, but replicated to high titres in colorectal cancer. Systemic injection of miR122-targeted adenovirus into mice did not induce liver toxicity. In a human lung cancer xenograft mouse model this miR122-targeted adenovirus showed potent antitumour activity. We also studied the possibility to exploit neuron-specific miRNA expression patterns in the modification of tissue tropism of an alphavirus Semliki Forest virus (SFV). We engineered SFV genome to contain sequences complementary to the neuron-specific miRNA miR124. In vitro characterization of this novel virus showed that the modification of the SFV genome per se did not affect polyprotein processing or oncolytic potency. Intraperitoneally administered miR124-targeted SFV displayed an attenuated spread into the central nervous system (CNS) and increased survival of infected mice. Also, mice pre-infected with miR124-targeted SFV elicited strong protective immunity against otherwise lethal challenge with a highly virulent wild-type SFV strain. In conclusion, these results show that miRNA-targeting is a potent new strategy to engineer viral tropism in development of safer and more efficient reagents for virotherapy applications.
Author: Erkko Ylösmäki
Language: English
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W1515528820