Chronic Liver Disease and Hepatocellular Carcinoma Biomarkers
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Molecular Cancer Biology".
Deadline for manuscript submissions: closed (31 December 2022) | Viewed by 14921
Special Issue Editor
Special Issue Information
Dear Colleagues,
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer death worldwide. HCC arises mainly in patients with chronic liver diseases, and cirrhosis represents the major risk condition for its development.
The HCC 1-year survival rate ranges widely from 10% to more than 90% depending on the baseline clinical stage. Early diagnosis is the most important determinant of survival, and HCC surveillance is based on highly operator-dependent ultrasonography (US) since the effectiveness of circulating biomarkers of HCC—such as alpha-fetoprotein (AFP) which is most used—is hampered by their low diagnostic accuracy.
Prognosis of HCC patients is linked to tumor and cirrhosis stages and performance status at diagnosis. The development of the Barcelona Clinic Liver Cancer (BCLC) staging system represents a milestone among the widely accepted staging systems for clinical decision making and stage-based treatment recommendations. However, histopathologic, genetic, and epigenetic HCC features as well as circulating biomarkers or liquid biopsy are not yet considered in the prognostic classifications. Treatment choices need to be individualized based on patient characteristics and preferences, particularly in advanced stage HCC, where systemic therapy is the standard of care. Circulating tumor biomarkers may be used to guide therapy; however, a distinction has to be made between prognostic markers, supposed to provide information about long-term outcome, and predictive markers of HCC response and survival.
Advanced HCC treatment is rapidly evolving, and in recent years, the availability of molecular targeted drugs is promoting the preselection of patients using drug-specific predictive biomarkers. Response to locoregional treatments and systemic therapies can currently be monitored simply using digital imaging and, thus, the AI-driven physics and mathematical models of the kinetics of different biomarkers may represent a new challenge for the amelioration of clinical monitoring and therapy individualization.
The aim of this Special Issue is to present original contributions and updated reviews on HCC biomarkers as provided by genomics, epigenomics, transcriptomics, proteomics, and other omics platforms which propose and discuss new or optimized tools for surveillance, early diagnosis, and individualization of the clinical management and treatment of HCC.
Dr. Filippo Oliveri
Guest Editor
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Keywords
- hepatocellular carcinoma (HCC)
- cirrhosis
- surveillance
- diagnosis
- prognosis
- predictive factors
- biomarkers
- liquid biopsy
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