Omics-derived hepatocellular carcinoma risk biomarkers for precision care of chronic liver diseases.
biomarker
hepatocellular carcinoma
omics
precision medicine
Journal
Hepatology research : the official journal of the Japan Society of Hepatology
ISSN: 1386-6346
Titre abrégé: Hepatol Res
Pays: Netherlands
ID NLM: 9711801
Informations de publication
Date de publication:
Jul 2020
Jul 2020
Historique:
received:
01
04
2020
revised:
13
04
2020
accepted:
18
04
2020
pubmed:
24
4
2020
medline:
24
4
2020
entrez:
24
4
2020
Statut:
ppublish
Résumé
Precise hepatocellular carcinoma (HCC) risk prediction will play increasingly important roles with the contemporary HCC etiologies, that is, non-alcoholic fatty liver disease and resolved hepatitis C virus infection. Because the HCC incidence rate in this emerging patient population is relatively low (~1% per year), identification of a subset of patients at the highest risk is critical to concentrate the effort and resources of regular HCC screening to those who most need it. Omics profiling has been derived using several candidate HCC risk biomarkers, which could refine HCC screening by enabling individual risk-based personalized or risk-stratified patient management. Various types of biomolecules have been explored as sources of information to predict HCC risk at various time horizons. Germline DNA polymorphisms likely reflect race/ethnicity- and/or etiology-specific susceptibility to HCC development or chronic liver disease progression toward carcinogenesis. Transcriptomic dysregulations in the diseased liver capture functional molecular status supporting oncogenesis such as inflammatory pathway and myofibroblast activation. Circulating nucleic acids, proteins, and metabolites could serve as less-invasive measures of molecular HCC risk. Characterization of gut microbiota could also inform HCC risk estimation. Each biomarker could have its niche of clinical application depending on logistics of use, performance, and costs with a goal to eventually improve patient prognosis as a part of the whole algorithm of chronic liver disease management.
Identifiants
pubmed: 32323426
doi: 10.1111/hepr.13506
pmc: PMC8318383
mid: NIHMS1723795
doi:
Types de publication
Journal Article
Review
Langues
eng
Pagination
817-830Subventions
Organisme : NCI NIH HHS
ID : U01 CA226052
Pays : United States
Organisme : Uehara Memorial Foundation
ID : DK099558
Organisme : Uehara Memorial Foundation
ID : CA226052
Organisme : European Commission
ID : ERC-2014-AdG-671231
Organisme : Cancer Prevention and Research Institute of Texas
ID : RR180016
Organisme : NIDDK NIH HHS
ID : R01 DK099558
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA233794
Pays : United States
Organisme : European Research Council
ID : 671231
Pays : International
Organisme : Uehara Memorial Foundation
ID : CA233794
Informations de copyright
© 2020 The Japan Society of Hepatology.
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