Innovating Works

GENIAL

Financiado
Understanding Gene ENvironment Interaction in ALcohol-related hepatocellular car...
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... 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’. ver más
31/12/2027
ULB
12M€
Duración del proyecto: 59 meses Fecha Inicio: 2023-01-01
Fecha Fin: 2027-12-31

Línea de financiación: concedida

El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-01-01
Línea de financiación objetivo El proyecto se financió a través de la siguiente ayuda:
Presupuesto El presupuesto total del proyecto asciende a 12M€
Líder del proyecto
UNIVERSITE LIBRE DE BRUXELLES No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico TRL 4-5