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. Integrating 2D, 3D, in silico, and in vivo platforms provides a versatile basis for the preclinical evaluation of cancer vaccines and OVs. This multidisciplinary approach is vital to advancing personalized immunotherapies, improving biomarker development, and accelerating the translation of novel treatments.
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