作者
Jiliang Zhao,Handong Wang,Chunlei Wang,Fan Li,Jingru Chen,Feilong Zhou,Yiping Zhu,Jinhua Chen,Jinming Liu,Hao Zheng,Nanxin Gong,Yazhuo Du,Yufan Zhang,Li Deng,Yuyao Du,Yanqin Liu,Yuanke Li,Na Li,Hongru Zhang,Dan Ding,Shouzhi Yu,Cuizhu Zhang,Ying‐Bin Yan,Wei Wang,Youjia Cao,Yuntao Zhang,Hongkai Zhang
摘要
Oncolytic viruses have been considered promising cancer immunotherapies. However, oncovirotherapy agents impart durable responses in only a subset of cancer patients. Thus, exploring the cellular and molecular mechanisms underlying the heterogeneous responses in patients can provide guidance to develop more effective oncolytic virus therapies. Single-cell RNA sequencing (scRNA-seq) analysis of tumors responsive and non-responsive to oncovirotherapy revealed signatures of the tumor immune microenvironment associated with immune response. Thus, we designed and constructed an armed oncolytic virus OV-5A that expressed five genes with non-redundant functions. OV-5A treatment exhibits robust immune response against various tumors in multiple mouse models, peripheral blood mononuclear cell (PBMC)-patient derived xenograft (PDX) model, organoid-immune cell co-culture systems and patient tissue sections by activating a cooperative innate-adaptive immune response against tumor cells. scRNA-seq analysis of complete responder and partial responder to OV-5A treatment guided the design of combination therapy of OV-5A. This data-driven approach paves a innovative way to rationalize the design of oncolytic virus and multi-agent combination therapies.