Tutorial: design, production and testing of oncolytic viruses for cancer immunotherapy

Shashi Gujar1,2,3,4, Jonathan G Pol5,6,7,8,9, Vishnupriyan Kumar1,4

  • 1Department of Pathology, Dalhousie University, Halifax, Nova Scotia, Canada.

Nature Protocols
|May 20, 2024
PubMed

Insights

Oncolytic viruses (OVs) are a promising cancer immunotherapy that selectively kill cancer cells and boost anti-tumor immunity. This guide outlines the critical design, production, and preclinical testing steps for developing effective OV therapies.

Area of Science:

  • Oncology
  • Virology
  • Immunotherapy

Background:

  • Oncolytic viruses (OVs) are emerging as potent cancer immunotherapy agents.
  • They selectively infect and destroy cancer cells, stimulating antitumor immune responses.
  • OVs show promise for combination therapy with agents like immune checkpoint inhibitors.

Purpose of the Study:

  • To provide guidelines for the design, production, and preclinical testing of oncolytic viruses.
  • To highlight key considerations for optimizing OV technology for clinical utility.
  • To emphasize the role of OVs in cancer immunotherapy.

Main Methods:

  • Designing natural or engineered viral strains for cancer cell specificity.
  • Selecting OVs based on viral platform, cancer cell permissivity, and genetic modification needs.
  • Producing and evaluating OVs using preclinical models (syngeneic, xenograft, humanized) in immunocompromised and immunocompetent settings.

Main Results:

  • OVs demonstrate direct oncolytic effects and indirect immunotherapeutic potential in vivo.
  • Preclinical testing elucidates the efficacy of OVs against various cancer types.
  • Successful OVs progress to clinical translation for cancer treatment.

Conclusions:

  • The development of OV-based cancer therapies requires careful design, production, and rigorous preclinical evaluation.
  • OV technology offers a versatile platform for cancer immunotherapy, with potential for combination treatments.
  • Understanding OV mechanisms and optimizing their development is crucial for successful clinical application.

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