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Opportunities and challenges in the clinical application of anticancer virotherapy.

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Expert review of anticancer therapy 📖 저널 OA 3.2% 2021: 0/1 OA 2022: 0/3 OA 2023: 0/2 OA 2024: 0/1 OA 2025: 0/28 OA 2026: 3/58 OA 2021~2026 2026 Vol.26(2) p. 191-203
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Sierra-Davidson K, Cohen S, Emerick KS, Kaufman HL

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[INTRODUCTION] Oncolytic viruses (OVs) are a promising yet understudied class of therapeutic agents.

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APA Sierra-Davidson K, Cohen S, et al. (2026). Opportunities and challenges in the clinical application of anticancer virotherapy.. Expert review of anticancer therapy, 26(2), 191-203. https://doi.org/10.1080/14737140.2025.2584499
MLA Sierra-Davidson K, et al.. "Opportunities and challenges in the clinical application of anticancer virotherapy.." Expert review of anticancer therapy, vol. 26, no. 2, 2026, pp. 191-203.
PMID 41175341 ↗

Abstract

[INTRODUCTION] Oncolytic viruses (OVs) are a promising yet understudied class of therapeutic agents. OVs mediate anti-tumor activity through multiple mechanisms, including direct lysis of tumor cells, local expression of therapeutic transgenes, and induction of anti-tumor immunity. In 2015, Talimogene laherparepvec (T-VEC) was approved OV for melanoma. Recent literature search and real-world experience have highlighted some of the challenges with clinical adoption of OV therapy and identified new opportunities for improving the clinical use of OVs for cancer treatment.

[AREAS COVERED] This review provides a brief overview of recent challenges and lessons learned from clinical trials and real-world data related to T-VEC and explores novel strategies for enhancing the therapeutic activity of OVs.

[EXPERT OPINION] OVs are versatile agents that can attack cancer at multiple levels. The ability to use OVs to add to defined mechanisms of anti-tumor activity, such as direct tumor cell killing, induction of anti-viral and anti-tumor immune responses, and effective delivery of therapeutic payloads, have resulted in multiple new OVs with promising early clinical data. OVs can be an especially useful tool for developing a more personalized approach to cancer treatment based on unique clinical features of patients and the molecular features of specific tumors.

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