Title |
Oncolytic adenovirus targeting cyclin E overexpression repressed tumor growth in syngeneic immunocompetent mice
|
---|---|
Published in |
BMC Cancer, October 2015
|
DOI | 10.1186/s12885-015-1731-x |
Pubmed ID | |
Authors |
Pei-Hsin Cheng, Xiao-Mei Rao, Stephen L. Wechman, Xiao-Feng Li, Kelly M. McMasters, Heshan Sam Zhou |
Abstract |
Clinical trials have indicated that preclinical results obtained with human tumor xenografts in mouse models may overstate the potential of adenovirus (Ad)-mediated oncolytic therapies. We have previously demonstrated that the replication of human Ads depends on cyclin E dysregulation or overexpression in cancer cells. ED-1 cell derived from mouse lung adenocarcinomas triggered by transgenic overexpression of human cyclin E may be applied to investigate the antitumor efficacy of oncolytic Ads. Ad-cycE was used to target cyclin E overexpression in ED-1 cells and repress tumor growth in a syngeneic mouse model for investigation of oncolytic virotherapies. Murine ED-1 cells were permissive for human Ad replication and Ad-cycE repressed ED-1 tumor growth in immunocompetent FVB mice. ED-1 cells destroyed by oncolytic Ads in tumors were encircled in capsule-like structures, while cells outside the capsules were not infected and survived the treatment. Ad-cycE can target cyclin E overexpression in cancer cells and repress tumor growth in syngeneic mouse models. The capsule structures formed after Ad intratumoral injection may prevent viral particles from spreading to the entire tumor. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 20 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 25% |
Researcher | 4 | 20% |
Student > Bachelor | 2 | 10% |
Other | 1 | 5% |
Lecturer | 1 | 5% |
Other | 3 | 15% |
Unknown | 4 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 25% |
Medicine and Dentistry | 3 | 15% |
Agricultural and Biological Sciences | 2 | 10% |
Computer Science | 1 | 5% |
Business, Management and Accounting | 1 | 5% |
Other | 2 | 10% |
Unknown | 6 | 30% |