Abstract
Chimeric antigen receptor (CAR)-T-cell therapies have demonstrated substantial efficacy in haematological malignancies, with multiple products approved for clinical use. However, broader application remains limited by severe toxicities, reduced efficacy toward solid tumours, and the high cost and complexity of ex vivo manufacturing. The autologous nature of most current therapies contributes to variable product quality, lengthy vein-to-vein times, and restricted patient access. In vivo CAR-T therapy has emerged as a potential solution, aiming to generate functional CAR-T-cells within the patient, with several platforms progressing into early Phase I clinical trials. This approach eliminates reliance on patient-derived starting material, reduces manufacturing failure rates, and offers the prospect of off-the-shelf availability at lower cost. Central to in vivo CAR-T development is selecting an appropriate gene delivery platform. Viral vectors, including lentiviral, adenoviral, and adeno-associated viral systems, have an established role in ex vivo CAR-T manufacturing and in vivo gene therapies. Non-viral vectors, such as lipid nanoparticles (LNP) and polyplexes, have garnered increasing attention due to their high packaging capacity, potential for redosing, and validation in large-scale production, as exemplified by mRNA-LNP vaccines against COVID-19. Recently, the in vivo CAR-T engineering toolbox has expanded with DNA-based LNP platforms capable of stably integrating CAR transgenes via transposon systems, fourth-generation T-cell-targeted lentiviral systems that minimise CAR display on vector particles and aberrant splicing, and emerging genome-editing technologies. This review compares viral and non-viral vectors for in vivo CAR-T therapy, evaluating their relative advantages and limitations in terms of safety, efficacy, scalability, analytical methods, regulatory implementation and commercial feasibility.
| Original language | English |
|---|---|
| Article number | 108907 |
| Journal | Biotechnology Advances |
| Early online date | 26 Apr 2026 |
| DOIs | |
| Publication status | E-pub ahead of print - 26 Apr 2026 |
Data Availability Statement
No data was used for the research described in the article.Funding
D.J.S. acknowledges the funding and support of the University College London – Cytiva Centre of Excellence and the UKRI Engineering and Physical Sciences Research Council (EPSRC). L.S. acknowledges funding from the Skye Foundation and Oppenheimer Memorial Trust. The authors would also like to acknowledge the funding and support of the EPSRC through the Fellowship grant awarded to Q.A.R. (EP/V058266/1). All figures were created on BioRender.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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