DECOD-Ag | Revolutionary Platform to Decipher Immunogenicity of Tumour Neoantigens- the Ultimate Targets for Future Immunotherapies to Eradicate Cancer

Summary
Immunotherapy has revolutionised cancer treatment, providing survival benefits in patients with hard-to-treat tumours. Tragically, these benefits are unevenly distributed. Clinical efficacy varies dramatically between (and within) cancer types, and severe side-effects persist. To address this, new treatment strategies seek the rational design of personalised therapies to achieve full eradication of most cancers. Such a vision can be achieved by inducing immune responses against the ultimate tumour-specific targets: immunogenic tumour neoantigens (iNeoAg). However, a major limitation is the lack of technologies to identify iNeoAg from the thousands of background mutations in tumours. The DECOD-Ag consortium envisions a revolutionary technology realising an unbiased high-throughput transformative immunogenicity profiling platform that, for the first time, uniquely identifies iNeoAgs with the following enabling technologies: i) high throughput screening technology based on random mutagenesis and artificial antigen-presenting cells, to categorise immune recognition triplets (MHC-neoantigen-TCR), define the rules of neoantigen-T cell engagement and the immunogenicity of the neoantigen; ii) robust in silico prediction algorithms to predict neoantigen immunogenicity and neoantigen-T cell pairing; and iii) clinical validation workflow combining multiple advanced immune monitoring technologies. The DECOD-Ag project will be conducted by world-leading, interdisciplinary scientists, with expertise in cancer immunotherapy, bioinformatics, peptidomics, mass spectrometry, immune monitoring, clinical and translational medicine. The DECOD-Ag platform and GENESIS predictor will lead to a new frontier towards developing novel and effective anticancer therapies, with the radical potential to fully eradicate any tumour in any patient.
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/964998
Start date: 01-06-2021
End date: 31-05-2026
Total budget - Public funding: 2 999 993,75 Euro - 2 999 993,00 Euro
Cordis data

Original description

Immunotherapy has revolutionised cancer treatment, providing survival benefits in patients with hard-to-treat tumours. Tragically, these benefits are unevenly distributed. Clinical efficacy varies dramatically between (and within) cancer types, and severe side-effects persist. To address this, new treatment strategies seek the rational design of personalised therapies to achieve full eradication of most cancers. Such a vision can be achieved by inducing immune responses against the ultimate tumour-specific targets: immunogenic tumour neoantigens (iNeoAg). However, a major limitation is the lack of technologies to identify iNeoAg from the thousands of background mutations in tumours. The DECOD-Ag consortium envisions a revolutionary technology realising an unbiased high-throughput transformative immunogenicity profiling platform that, for the first time, uniquely identifies iNeoAgs with the following enabling technologies: i) high throughput screening technology based on random mutagenesis and artificial antigen-presenting cells, to categorise immune recognition triplets (MHC-neoantigen-TCR), define the rules of neoantigen-T cell engagement and the immunogenicity of the neoantigen; ii) robust in silico prediction algorithms to predict neoantigen immunogenicity and neoantigen-T cell pairing; and iii) clinical validation workflow combining multiple advanced immune monitoring technologies. The DECOD-Ag project will be conducted by world-leading, interdisciplinary scientists, with expertise in cancer immunotherapy, bioinformatics, peptidomics, mass spectrometry, immune monitoring, clinical and translational medicine. The DECOD-Ag platform and GENESIS predictor will lead to a new frontier towards developing novel and effective anticancer therapies, with the radical potential to fully eradicate any tumour in any patient.

Status

SIGNED

Call topic

FETOPEN-01-2018-2019-2020

Update Date

27-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.2. EXCELLENT SCIENCE - Future and Emerging Technologies (FET)
H2020-EU.1.2.1. FET Open
H2020-FETOPEN-2018-2020
FETOPEN-01-2018-2019-2020 FET-Open Challenging Current Thinking