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Updated: Sep 21, 2025

An Oncogenic Hepatocyte-Induced Orthotopic Mouse Model of Hepatocellular Cancer Arising in the Setting of Hepatic Inflammation and Fibrosis
Published on: September 12, 2019
Molecular targeted drugs, comprehensive classification and preclinical models for the implementation of precision
1Department of Molecular Oncology, Graduate School of Medicine, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo, 113-8519, Japan.
Abstract:
Hepatocellular carcinoma (HCC) is a complex heterogeneous disease with high morbidity and mortality. Recent progress in molecular targeted drugs including multikinase inhibitors and immune checkpoint inhibitors has demonstrated substantial survival improvement in patients with advanced HCC, but it remains as a challenging issue to discover surrogate markers for precisely distinguishing responders and non-responders. Genome-based medicine has changed cancer treatment from empirical use of cytotoxic agents to theoretical use of molecular targeted drugs in various types of cancer, while not in HCC due to lack of druggable targets. Integrated genomic and transcriptomic analysis reveal that HCC is divided into three major subtypes, proliferative, CTNNB1-mutated and metabolic disease-associated, with distinctive molecular and immunological features, and an increasing number of studies provide evidence for the close correlation between the subtype and the response to molecular targeted drugs using both of clinical data and preclinical models. Dozens of immunocompetent mouse models, such as hydrodynamic tail vain injection models and implantable syngeneic models, reflect molecular characteristics and tumor immune microenvironment of the subtypes, and help us to evaluate the efficacy of single and combination therapies and understand the molecular mechanisms underlying vulnerability and resistance to them. Thus, the consensus classification and relevant preclinical models could accelerate the establishment of predictive biomarkers and the development of subtype-specific therapies.
Insights
Hepatocellular carcinoma (HCC) subtypes identified through genomic analysis correlate with treatment response. This classification and associated mouse models can guide the development of targeted therapies and predictive biomarkers for HCC.
Area of Science:
- Oncology
- Genomics
- Translational Medicine
Background:
- Hepatocellular carcinoma (HCC) is a heterogeneous cancer with high mortality.
- Advanced HCC treatments show promise, but predicting patient response to targeted therapies remains difficult.
- HCC lacks specific druggable targets, hindering genome-based treatment strategies.
Purpose of the Study:
- To classify HCC based on integrated genomic and transcriptomic data.
- To explore the correlation between HCC subtypes and response to molecular targeted drugs.
- To evaluate the utility of preclinical models in understanding HCC subtype-specific therapies.
Main Methods:
- Integrated genomic and transcriptomic analysis of HCC.
- Classification of HCC into proliferative, CTNNB1-mutated, and metabolic disease-associated subtypes.
- Utilizing immunocompetent mouse models (hydrodynamic tail vein injection, syngeneic models) to study HCC subtypes and treatment efficacy.
Main Results:
- HCC can be categorized into three distinct molecular subtypes.
- These subtypes exhibit unique molecular and immunological characteristics.
- A strong correlation exists between HCC subtypes and response to molecular targeted drugs.
Conclusions:
- Consensus classification of HCC subtypes is crucial for personalized medicine.
- Preclinical models accurately reflect HCC subtypes and tumor microenvironments.
- Subtype-specific therapies and predictive biomarkers can be developed using this classification and models.
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