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Understanding Gene ENvironment Interaction in ALcohol-related hepatocellular carcinomacore

GENIAL · Horizon Europe grant · 2023-01-01–2027-12-31

EC contribution

€11,996,753

Total cost

€11,996,753

Beneficiaries

14
About the data

Source: CORDIS (official EU open data), Horizon Europe. Framework HORIZON · call HORIZON-MISS-2021-CANCER-02 · scheme HORIZON-RIA · topic HORIZON-MISS-2021-CANCER-02-03. CORDIS record →

Objective

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’.

Beneficiaries (14)

OrganisationCountryRoleEC contributionSME
UNIVERSITE LIBRE DE BRUXELLES BE coordinator €1,306,338
INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE FR participant €2,613,758
ASSISTANCE PUBLIQUE HOPITAUX DE PARIS FR participant €1,769,425
TECHNISCHE UNIVERSITAET DRESDEN DE participant €1,534,875
FUNDACAO D. ANNA DE SOMMER CHAMPALIMAUD E DR. CARLOS MONTEZ CHAMPALIMAUD PT participant €1,500,938
StratiPath AB SE participant €667,975 Yes
UNIVERSITE PARIS CITE FR participant €605,000
UNIVERSITA DEGLI STUDI DI MILANO IT participant €494,094
VIB VZW BE participant €417,219
EPSA INNOVATION FRANCE FR participant €414,375
UNIVERSITE PARIS 13 FR participant €393,845
EUROPEAN LIVER PATIENTS ASSOCIATION BE participant €83,375
FONDAZIONE IRCCS CA' GRANDA - OSPEDALE MAGGIORE POLICLINICO IT thirdParty €0
EUROPEAN ASSOCIATION FOR THE STUDYOF THE LIVER CH associatedPartner

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