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Oncolytic adenovirus programmed by synthetic gene circuit for cancer immunotherapy.


ABSTRACT: Improving efficacy of oncolytic virotherapy remains challenging due to difficulty increasing specificity and immune responses against cancer and limited understanding of its population dynamics. Here, we construct programmable and modular synthetic gene circuits to control adenoviral replication and release of immune effectors selectively in hepatocellular carcinoma cells in response to multiple promoter and microRNA inputs. By performing mouse model experiments and computational simulations, we find that replicable adenovirus has a superior tumor-killing efficacy than non-replicable adenovirus. We observe a synergistic effect on promoting local lymphocyte cytotoxicity and systematic vaccination in immunocompetent mouse models by combining tumor lysis and secretion of immunomodulators. Furthermore, our computational simulations show that oncolytic virus which encodes immunomodulators can exert a more robust therapeutic efficacy than combinatorial treatment with oncolytic virus and immune effector. Our results provide an effective strategy to engineer oncolytic adenovirus, which may lead to innovative immunotherapies for a variety of cancers.

SUBMITTER: Huang H 

PROVIDER: S-EPMC6805884 | biostudies-other | 2019 Oct

REPOSITORIES: biostudies-other

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Oncolytic adenovirus programmed by synthetic gene circuit for cancer immunotherapy.

Huang Huiya H   Liu Yiqi Y   Liao Weixi W   Cao Yubing Y   Liu Qiang Q   Guo Yakun Y   Lu Yinying Y   Xie Zhen Z  

Nature communications 20191022 1


Improving efficacy of oncolytic virotherapy remains challenging due to difficulty increasing specificity and immune responses against cancer and limited understanding of its population dynamics. Here, we construct programmable and modular synthetic gene circuits to control adenoviral replication and release of immune effectors selectively in hepatocellular carcinoma cells in response to multiple promoter and microRNA inputs. By performing mouse model experiments and computational simulations, we  ...[more]

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