Objective
We propose an ambitious yet well-conceived and deliverable pan-European, pan-cancer, pan-disciplinary, and multi-omic approach to address the pressing unmet need for an accurate, non-invasive, acceptable and cost-effective method of detecting precancerous and early-stage cancers in those individuals with Lynch syndrome (LS), the most common monogenetic increased hereditary cancer risk. LS has historically been underfunded and underserved, leading to significant an inequality in access and treatment. As a result, LS carriers have suffered needless cancers and deaths as a result. Our consortium has brought together the leading European experts, biotechnology companies and patient advocates to guarantee deliver practice-changing results that can be rapidly upscaled and adopted across the European Union and globally. Using an innovative clinical trial design, we will evaluate several multiple promising, non-invasive, liquid biopsy-based technologies in the three most common LS cancer types for an early-stage cancers detection. By leveraging Artificial intelligence (AI), we will identify traces of cancer, ensuring applicability to diverse healthcare systems. A comprehensive framework will assess the broader socio-economic and ethical impacts, ensuring that the solutions align with the societal values and healthcare needs. Parterning with leading biomarker companies (GNT, MSInsight, MSICare, MSIPlus and Elypta), we aim to deliver a multi-omic solution for affordable, accessible and effective test to advance the detection of heritable cancer detections in LS. This action is part of the Cancer Mission cluster of projects on “Prevention & early detection (early detection heritable cancers).
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
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Programme(s)
- HORIZON.2.1 - Health Main Programme
Call for proposal
(opens in new window) HORIZON-MISS-2024-CANCER-01
See other projects for this callFunding Scheme
HORIZON-IA - HORIZON Innovation ActionsCoordinator
0450 Oslo
Norway
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Participants (26)
33100 Tampere
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EH8 9YL Edinburgh
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75231 Paris
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0313 Oslo
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4200-135 Porto
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75654 Paris
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3584 CS Utrecht
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18071 Granada
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13284 Marseille
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1007 Riga
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20133 Milan
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10000 Zagreb
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656 53 Brno
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3015 GD Rotterdam
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94805 Villejuif
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0379 Oslo
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75013 Paris
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1050-012 Lisboa
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80807 Munchen
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1040 ETTERBEEK
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41069 Mönchengladbach
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4200-172 Porto
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08018 Barcelona
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
171 65 SOLNA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
75012 Paris
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
841 04 Bratislava
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partners (1)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
1015 Lausanne
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