Blee, C., Muthana, M., Wells, G. et al. (1 more author) (2025) Turning the tide: harnessing vaccines and viruses to fight cancer. Immunotherapy Advances. ltaf033. ISSN: 2732-4303
Abstract
Cancer vaccines and oncolytic viruses (OVs) represent promising immunotherapeutic strategies, harnessing adaptive and innate immune responses for targeted tumour eradication. Cancer vaccines aim to induce tumour-specific cytotoxic T lymphocytes (CTLs) through antigen presentation, while OVs mediate direct tumour lysis and stimulate immunogenic cell death, enhancing anti-tumour immunity. Despite keen interest, with over 350 clinical trials initiated since 2020, challenges persist in carrying the success seen in a pre-clinical setting to a clinical one. Advancements in preclinical modelling are essential for bridging the gap between in vitro findings and clinical efficacy. Traditional two-dimensional (2D) cultures, although cost-effective and reproducible, fail to recapitulate the complexity of the tumour microenvironment (TME). Three-dimensional (3D) models including spheroids, organoids, tumour-on-a-chip, and bioprinting offer improved architectural and physiological relevance, allowing for the assessment of immune cell infiltration and viral spread. In silico models further complement these systems by enabling high-throughput neoantigen prediction and therapy simulation. In vivo models such as patient-derived xenografts (PDXs), genetically engineered mouse models (GEMMs), and syngeneic models provide critical insights into tumour-immune dynamics and therapeutic efficacy in a systemic context at a whole organism level. The integration of these diverse platforms 2D, 3D, in silico, and in vivo provides a versatile platform for preclinical evaluation of cancer vaccines and OVs. This multidisciplinary approach is vital to advancing personalised immunotherapies, improving biomarker development, and accelerating the translation of novel treatments.
Metadata
| Item Type: | Article |
|---|---|
| Authors/Creators: |
|
| Copyright, Publisher and Additional Information: | © The Author(s) 2025. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Cancer Vaccines; Oncolytic Viruses; Pre-clinical Models |
| Dates: |
|
| Institution: | The University of Sheffield |
| Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health |
| Date Deposited: | 21 Nov 2025 09:28 |
| Last Modified: | 21 Nov 2025 09:28 |
| Status: | Published online |
| Publisher: | Oxford University Press (OUP) |
| Refereed: | Yes |
| Identification Number: | 10.1093/immadv/ltaf033 |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:234752 |
Download
Filename: A new take on permutation-invariant quantum codes – Quantum.pdf
Licence: CC-BY 4.0

CORE (COnnecting REpositories)
CORE (COnnecting REpositories)