DFM Platform
DFM Funding Monitor

Innovative approach to an Individualised T-Cell Immunotherapy for cancer, using Personalised Tumour Trained Lymphocytes (pTTL) that is reliable, cost-effective, scalable and easy to implementbroad

NEOpTTL · Horizon Europe grant · 2023-11-01–2026-07-31

EC contribution

€2,500,000

Total cost

€8,422,865

Beneficiaries

1
About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-EIC-2023-ACCELERATOR-01 · scheme HORIZON-EIC-ACC-BF · topic HORIZON-EIC-2023-ACCELERATOROPEN-01. CORDIS record →

Objective

NEOGAP has developed a groundbreaking personalised adoptive T cell therapy for treating solid tumours based on two proprietary technologies: PIOR® machine learning software and EpiTCer®. This cancer immunotherapy consists of producing personalised Tumour Trained Lymphocytes (pTTL), which are autologous T-cells harvested from regional lymph nodes, subjected to a neoantigen-driven T-cell stimulation technology to deliver highly tumour-reactive T-cell clones (pTTLs). pTTLs are re-infused to the patient where they infiltrate and kill cancer cells, leaving healthy cells untouched. The therapy is broadly applicable to many cancer types, being personalised to each individual patient. In this EIC accelerator project, NEOGAP plans to complete the Phase 1b part of the first in human clinical trial of the therapy in advanced colorectal cancer patients, focused on safety assessment and biomarker exploration and optimise the manufacturing process for the next clinical studies.

Beneficiaries (1)

OrganisationCountryRoleEC contributionSME
NEOGAP THERAPEUTICS AB SE coordinator €2,500,000 Yes

Get the DFM funding briefing — free

New EU defence calls, tenders and awards in your inbox.

Countries
Sectors
Sources

We store your email only to send the DFM briefing/alerts and to add you to DFM Analysis. Unsubscribe anytime.

Defence Finance Monitor is an analytical and informational product. Grant data is official CORDIS; payment and subscription happen on DFM Analysis.