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Directed natural evolution generates a next-generation oncolytic virus with a high potency and safety profile

Author

Listed:
  • Li Guo

    (Sun Yat-sen University)

  • Cheng Hu

    (The Third Affiliated Hospital of Sun Yat-sen University)

  • Yang Liu

    (Sun Yat-sen University)

  • Xiaoyu Chen

    (Sun Yat-sen University)

  • Deli Song

    (Sun Yat-sen University)

  • Runling Shen

    (Sun Yat-sen University)

  • Zhanzhen Liu

    (Sun Yat-sen University)

  • Xudong Jia

    (Sun Yat-sen University)

  • Qinfen Zhang

    (Sun Yat-sen University)

  • Yuanzhu Gao

    (Sun Yat-sen University)

  • Zhezhi Deng

    (National Key Clinical Department and Key Discipline of Neurology)

  • Tao Zuo

    (Sun Yat-sen University)

  • Jun Hu

    (Sun Yat-sen University)

  • Wenbo Zhu

    (Sun Yat-sen University)

  • Jing Cai

    (Sun Yat-sen University)

  • Guangmei Yan

    (Sun Yat-sen University)

  • Jiankai Liang

    (Sun Yat-sen University)

  • Yuan Lin

    (Sun Yat-sen University
    The First Affiliated Hospital-Zhongshan School of Medicine, Sun Yat-sen University)

Abstract

Oncolytic viruses (OVs) represent a type of encouraging multi-mechanistic drug for the treatment of cancer. However, attenuation of virulence, which is generally required for the development of OVs based on pathogenic viral backbones, is frequently accompanied by a compromised killing effect on tumor cells. By exploiting the property of viruses to evolve and adapt in cancer cells, we perform directed natural evolution on refractory colorectal cancer cell HCT-116 and generate a next-generation oncolytic virus M1 (NGOVM) with an increase in the oncolytic effect of up to 9690-fold. The NGOVM has a broader antitumor spectrum and a more robust oncolytic effect in a range of solid tumors. Mechanistically, two critical mutations are identified in the E2 and nsP3 genes, which accelerate the entry of M1 virus by increasing its binding to the Mxra8 receptor and antagonize antiviral responses by inhibiting the activation of PKR and STAT1 in tumor cells, respectively. Importantly, the NGOVM is well tolerated in both rodents and nonhuman primates. This study implies that directed natural evolution is a generalizable approach for developing next-generation OVs with an expanded scope of application and high safety.

Suggested Citation

  • Li Guo & Cheng Hu & Yang Liu & Xiaoyu Chen & Deli Song & Runling Shen & Zhanzhen Liu & Xudong Jia & Qinfen Zhang & Yuanzhu Gao & Zhezhi Deng & Tao Zuo & Jun Hu & Wenbo Zhu & Jing Cai & Guangmei Yan & , 2023. "Directed natural evolution generates a next-generation oncolytic virus with a high potency and safety profile," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39156-3
    DOI: 10.1038/s41467-023-39156-3
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    References listed on IDEAS

    as
    1. Jiankai Liang & Li Guo & Kai Li & Xiao Xiao & Wenbo Zhu & Xiaoke Zheng & Jun Hu & Haipeng Zhang & Jing Cai & Yaya Yu & Yaqian Tan & Chuntao Li & Xincheng Liu & Cheng Hu & Ying Liu & Pengxin Qiu & Xing, 2018. "Inhibition of the mevalonate pathway enhances cancer cell oncolysis mediated by M1 virus," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    2. Xiao Xiao & Jiankai Liang & Chunlong Huang & Kai Li & Fan Xing & Wenbo Zhu & Ziqing Lin & Wencang Xu & Guangen Wu & Jifu Zhang & Xi Lin & Yaqian Tan & Jing Cai & Jun Hu & Xueqin Chen & Youwei Huang & , 2018. "DNA-PK inhibition synergizes with oncolytic virus M1 by inhibiting antiviral response and potentiating DNA damage," Nature Communications, Nature, vol. 9(1), pages 1-15, December.
    3. Rong Zhang & Arthur S. Kim & Julie M. Fox & Sharmila Nair & Katherine Basore & William B. Klimstra & Rebecca Rimkunas & Rachel H. Fong & Hueylie Lin & Subhajit Poddar & James E. Crowe & Benjamin J. Do, 2018. "Mxra8 is a receptor for multiple arthritogenic alphaviruses," Nature, Nature, vol. 557(7706), pages 570-574, May.
    4. Yingyao Zhou & Bin Zhou & Lars Pache & Max Chang & Alireza Hadj Khodabakhshi & Olga Tanaseichuk & Christopher Benner & Sumit K. Chanda, 2019. "Metascape provides a biologist-oriented resource for the analysis of systems-level datasets," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
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