Non-invasive stratification of hepatocellular carcinoma risk in non-alcoholic fatty liver using polygenic risk scores.
Adiposity
Carcinoma, Hepatocellular
/ epidemiology
Cross-Sectional Studies
Europe
/ epidemiology
Female
Genetic Predisposition to Disease
Humans
Liver
/ pathology
Liver Cirrhosis
/ metabolism
Liver Neoplasms
/ epidemiology
Male
Mediation Analysis
Middle Aged
Multifactorial Inheritance
/ genetics
Non-alcoholic Fatty Liver Disease
/ diagnosis
Predictive Value of Tests
Prognosis
Risk Assessment
/ methods
Risk Factors
Biomarker
Cirrhosis
Genetics
Hepatic fat
Non-alcoholic fatty liver disease
Journal
Journal of hepatology
ISSN: 1600-0641
Titre abrégé: J Hepatol
Pays: Netherlands
ID NLM: 8503886
Informations de publication
Date de publication:
04 2021
04 2021
Historique:
received:
29
06
2020
revised:
11
11
2020
accepted:
16
11
2020
pubmed:
29
11
2020
medline:
29
1
2022
entrez:
28
11
2020
Statut:
ppublish
Résumé
Hepatocellular carcinoma (HCC) risk stratification in individuals with dysmetabolism is a major unmet need. Genetic predisposition contributes to non-alcoholic fatty liver disease (NAFLD). We aimed to exploit robust polygenic risk scores (PRS) that can be evaluated in the clinic to gain insight into the causal relationship between NAFLD and HCC, and to improve HCC risk stratification. We examined at-risk individuals (NAFLD cohort, n = 2,566; 226 with HCC; and a replication cohort of 427 German patients with NAFLD) and the general population (UK Biobank [UKBB] cohort, n = 364,048; 202 with HCC). Variants in PNPLA3-TM6SF2-GCKR-MBOAT7 were combined in a hepatic fat PRS (PRS-HFC), and then adjusted for HSD17B13 (PRS-5). In the NAFLD cohort, the adjusted impact of genetic risk variants on HCC was proportional to the predisposition to fatty liver (p = 0.002) with some heterogeneity in the effect. PRS predicted HCC more robustly than single variants (p <10 Our results are consistent with a causal relationship between hepatic fat and HCC. PRS improved the accuracy of HCC detection and may help stratify HCC risk in individuals with dysmetabolism, including those without severe liver fibrosis. Further studies are needed to validate our findings. By analyzing variations in genes that contribute to fatty liver disease, we developed two risk scores to help predict liver cancer in individuals with obesity-related metabolic complications. These risk scores can be easily tested in the clinic. We showed that the risk scores helped to identify the risk of liver cancer both in high-risk individuals and in the general population.
Sections du résumé
BACKGROUND & AIMS
Hepatocellular carcinoma (HCC) risk stratification in individuals with dysmetabolism is a major unmet need. Genetic predisposition contributes to non-alcoholic fatty liver disease (NAFLD). We aimed to exploit robust polygenic risk scores (PRS) that can be evaluated in the clinic to gain insight into the causal relationship between NAFLD and HCC, and to improve HCC risk stratification.
METHODS
We examined at-risk individuals (NAFLD cohort, n = 2,566; 226 with HCC; and a replication cohort of 427 German patients with NAFLD) and the general population (UK Biobank [UKBB] cohort, n = 364,048; 202 with HCC). Variants in PNPLA3-TM6SF2-GCKR-MBOAT7 were combined in a hepatic fat PRS (PRS-HFC), and then adjusted for HSD17B13 (PRS-5).
RESULTS
In the NAFLD cohort, the adjusted impact of genetic risk variants on HCC was proportional to the predisposition to fatty liver (p = 0.002) with some heterogeneity in the effect. PRS predicted HCC more robustly than single variants (p <10
CONCLUSIONS
Our results are consistent with a causal relationship between hepatic fat and HCC. PRS improved the accuracy of HCC detection and may help stratify HCC risk in individuals with dysmetabolism, including those without severe liver fibrosis. Further studies are needed to validate our findings.
LAY SUMMARY
By analyzing variations in genes that contribute to fatty liver disease, we developed two risk scores to help predict liver cancer in individuals with obesity-related metabolic complications. These risk scores can be easily tested in the clinic. We showed that the risk scores helped to identify the risk of liver cancer both in high-risk individuals and in the general population.
Identifiants
pubmed: 33248170
pii: S0168-8278(20)33811-3
doi: 10.1016/j.jhep.2020.11.024
pmc: PMC7987554
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
775-782Subventions
Organisme : Medical Research Council
ID : MC_PC_17228
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 26813
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C18342/A23390
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C9380/A26813
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C9380/A18084
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_QA137853
Pays : United Kingdom
Commentaires et corrections
Type : CommentIn
Type : CommentIn
Type : CommentIn
Informations de copyright
Copyright © 2020 European Association for the Study of the Liver. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Conflict of interest The authors declare that they have no conflict of interest relevant to the present study. SR has served as a consultant for AstraZeneca, Celgene, Sanofi, Amgen, Akcea Therapeutics, Camp4, AMbys, Medacorp and Pfizer in the past 5 years, and received research grants from AstraZeneca, Sanofi and Amgen. LV has received speaking fees from MSD, Gilead, AlfaSigma and AbbVie, served as a consultant for Gilead, Pfizer, Astra Zeneca, Novo Nordisk, Intercept, Diatech Pharmacogenetics and Ionis Pharmaceuticals, and received research grants from Gilead. Please refer to the accompanying ICMJE disclosure forms for further details.
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