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Active HORIZON European Commission

Understanding Gene ENvironment Interaction in ALcohol-related hepatocellular carcinoma

€12M EUR

Funder European Commission
Recipient Organization Universite Libre de Bruxelles
Country Belgium
Start Date Jan 01, 2023
End Date Dec 31, 2027
Duration 1,825 days
Number of Grantees 15
Roles Participant; Coordinator; Third Party; Associated Partner
Data Source European Commission
Grant ID 101096312
Grant Description

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’.

All Grantees

Universite Paris 13; Institut National de la Sante Et de la Recherche Medicale; Assistance Publique Hopitaux de Paris; Finovatis; Universite Libre de Bruxelles; Fondazione Irccs Ca' Granda - Ospedale Maggiore Policlinico; Vib Vzw; Stratipath Ab; Universita Degli Studi Di Milano; Universite Paris Cite; European Association for the Studyof the Liver; European Liver Patients Association; Fundacao D. Anna de Sommer Champalimaud E Dr. Carlos Montez Champalimaud; Technische Universitaet Dresden

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