Patient-specific neoantigen vaccines designed from each individual's unique tumour mutations.
Our personalised mRNA vaccine pipeline harnesses the unique mutations in each patient's tumour to design custom mRNA cancer vaccines. By identifying patient-specific neoantigens — novel proteins created by tumour mutations — we can design personalised mRNA immunotherapy that trains the immune system to recognise and attack cancer cells with precision. From tumour biopsy through immune monitoring, our integrated pipeline delivers personalised cancer vaccines in weeks, with mRNA manufacture and quality control fully integrated.
Our integrated pipeline for mRNA cancer vaccines takes personalised mRNA immunotherapy from tumour biopsy through to immune monitoring — eight steps from computation to clinic.
A tissue sample is collected from the patient's tumour alongside a matched normal tissue sample to serve as a germline reference.
DNA from both tumour and normal samples undergoes whole-exome sequencing to identify somatic mutations. RNA sequencing confirms which mutated genes are actively expressed.
Bioinformatic pipelines predict which somatic mutations generate novel peptides (neoantigens) that will be presented by the patient's own HLA molecules and recognised by T cells.
A synthetic mRNA sequence is designed encoding a polyepitope cassette — multiple neoantigen peptides joined by linker sequences, flanked by optimised UTRs and a poly(A) tail.
The designed sequence is synthesised by in vitro transcription then encapsulated in lipid nanoparticles to protect it from degradation and enable cellular uptake.
The formulated vaccine undergoes rigorous quality testing to confirm identity, purity, and potency before release.
The personalised vaccine is administered to the patient, typically as a series of injections, often combined with immune checkpoint inhibitors.
The patient's immune response is monitored to confirm neoantigen-specific T cell activation. Circulating tumour DNA and imaging assess clinical response.
Computational analysis of tumour genome sequencing data to identify and prioritise neoantigens. Machine learning approaches predict which mutations will generate effective immune responses, validated through T-cell assays.
Rapid design and synthesis of personalised mRNA cancer vaccines using optimised codon design, nucleotide modifications and lipid nanoparticle formulation. Manufactured in as little as 2-3 weeks from synthetic DNA templates.
In vitro and in vivo evaluation of mRNA vaccine candidates across multiple cancer models. Progression of promising candidates toward Phase-I clinical trials through our clinical manufacturing capabilities.
Learn more about our off-the-shelf mRNA cancer vaccine approach and targeted mRNA delivery technology.