Projekt
Understanding Gene ENvironment Interaction in ALcohol-related hepatocellular carcinoma
Alcohol-related hepatocellular carcinoma (ALD-HCC) is, in Europe, the leading cause of liver cancer (2nd most common cause of cancer-related death worldwide, affecting both men and women). ALD-HCC has a median 5-year survival rate of 15%. Yet, the prognosis is driven by the tumour stage, with curative options providin…
Alcohol-related hepatocellular carcinoma (ALD-HCC) is, in Europe, the leading cause of liver cancer (2nd most common cause of cancer-related death worldwide, affecting both men and women). ALD-HCC has a median 5-year survival rate of 15%. Yet, the prognosis is driven by the tumour stage, with curative options providing a 5-year survival exceeding 70% for early-stage HCC (<20% of cases). Therefore, interventions aiming to improve prevention and early detection are key. ALD-HCC results from the interplay between environmental determinants and genetic variations. A comprehensive characterisation of environmental factors (e.g. diet, lifestyle) linked to ALD-HCC is still lacking. We recently performed the 1st genome-wide association study of ALD-HCC and identified predisposing genetic variations. However, their role on alcohol-related liver carcinogenesis needs clarification and the genetic architecture of ALD-HCC remains mostly unknown. GENIAL brings together partners with unique expertise in clinical hepatology, single-cell and spatial multi-omics, artificial intelligence (AI) and communication and dissemination capacities. Our aim is to 1) portray genetic and environmental determinants promoting ALD-HCC; 2) evaluate how they interact at cellular level in human samples and preclinical models to get novel insights into liver carcinogenesis, and identify chemopreventive targets; and 3) assess how these determinants modulate the ALD-HCC risk in prospective cohorts of patients included in HCC surveillance programs. Environmental factors will be comprehensively characterised in an ongoing clinical trial designed to evaluate alternative methods for early-stage HCC detection. Finally, AI models, reaching the minimal viable product stage by the end of GENIAL, will be used to integrate genetic and non-genetic information (including digital imaging) to develop novel cost-effective strategies towards prevention and early-stage detection of ALD-HCC in at-risk individuals.
This action is part of the Cancer Mission cluster of projects on ‘‘Understanding’.
Technologien
- Biotechnologie Biotechnologie – Überblick über Forschungsprojekte, Patente und Akteure im TechnologieAtlas.
Themengebiete
- Gesundheit Gesundheit – Überblick über Forschungsprojekte, Patente und Akteure im TechnologieAtlas.
Hochschulen
- UNIVERSITE PARIS 13 UNIVERSITE PARIS 13 – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und Innovation.
- INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE – Hochschule bzw. Forschungseinrichtung mit Aktivit…
- UNIVERSITE LIBRE DE BRUXELLES UNIVERSITE LIBRE DE BRUXELLES – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und Innova…
- UNIVERSITA DEGLI STUDI DI MILANO UNIVERSITA DEGLI STUDI DI MILANO – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und Inn…
- UNIVERSITE PARIS CITE UNIVERSITE PARIS CITE – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und Innovation.
- Technische Universität Dresden Technische Universität Dresden – Hochschule bzw. Forschungseinrichtung mit Aktivitäten in Forschung und Innov…
Unternehmen
- StratiPath AB StratiPath AB – Unternehmen mit Aktivitäten in Forschung und Innovation.