The evolving landscape of oncolytic virus immunotherapy: combinatorial strategies and novel engineering approaches
- PMID: 40314865
- DOI: 10.1007/s12032-025-02746-w
The evolving landscape of oncolytic virus immunotherapy: combinatorial strategies and novel engineering approaches
Abstract
Oncolytic viruses (OVs) are a promising class of cancer therapy, exploiting their abilities to selectively infect and kill cancer cells while stimulating antitumor immune responses. The current assessment explores the changing horizons of OV immunotherapy, focusing on recent advances in technology plans to improve OV projects and combined approaches to improve curative efficacy. We discuss how OVs induce direct oncolysis and promote the release of tumor-associated antigens, leading to the activation of both innate and adaptive immunity. Special attention shall be given to programs for arm OVs to express curative genes, modify the tumor microenvironment and overcome immunosuppression. Moreover, we assess the synergies of uniting OVs with other immunotherapeutic techniques, such as immune checkpoint inhibitors and cell therapy, to improve tolerant outcomes. The present assessment provides an understanding of the relevant declaration of the OV analysis, highlighting the main obstacles and the future directions for the development of other capable and targeted cancer immunotherapy.
Keywords: Adaptive immunity; Antitumor immunity; Cancer immunotherapy; Direct oncolysis; Immunomodulation; Innate immunity; Oncolytic viruses (OVs); Tumor microenvironment (TME); Virotherapy.
© 2025. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Conflict of interest statement
Declarations. Conflict of interest: The authors declare no competing interests. Ethical approval: This study does not involve the use of animal or human subjects. Use of artificial intelligence (AI)-assisted technology: The authors declares that they have not used artificial intelligence (AI) tools for writing and editing of the manuscript, and no images were manipulated using AI.
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