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Updated: May 18, 2026

An Oncogenic Hepatocyte-Induced Orthotopic Mouse Model of Hepatocellular Cancer Arising in the Setting of Hepatic Inflammation and Fibrosis
Published on: September 12, 2019
Targeting tyrosine kinase receptors in hepatocellular carcinoma
Jordi Muntané1, Angel J De la Rosa, Fernando Docobo
1Oncology Surgery, Cell Therapy and Transplant Organs, Instituto de Biomedicina de Sevilla (IBiS)/Hospital Universitario Virgen del Rocío/IBiS/Universidad de Sevilla, Sevilla, Spain. jmuntane-ibis@us.es
Abstract:
The recent discoveries of genomic and molecular markers in hepatocellular carcinoma (HCC) have improved the understanding about the complexity of the signal transduction pathways as well as their relevance in normal and liver cancer cells. The identification of the functional repercussions of punctual mutations and crosstalk among cell signaling will promote the identification of specific combinatorial targeted molecular therapies to specific subsets of patients which will allow the development of personalized-based therapy and increase the survival of patients. Numerous molecular targets are in the cross-road between oncogenic and anti-apoptotic programs, genetic or epigenetic alterations, which overall may have a similar cellular phenotype. The standard antineoplastic chemotherapeutic regimes based on cytotoxic agents leads to significant side effect and modest response rates, marginal changes in natural history, and toxicities that may impact the quality of life of patients. Different strategies involving gene therapy, targeted antibodies or small molecules have been used to regulate cell death/proliferation signals, as well as angiogenesis in liver tumors. In this sense, Sorafenib recently approved for renal cell carcinoma, represents the first tyrosine kinase inhibitor (TKI) licensed for the treatment of patients with advanced HCC. This review summarizes the current status of molecular receptor TKI-based targeted therapy in HCC driving different pathways involved in cell survival, proliferation, migration, angiogenesis and metastasis, which include the regulation of Raf/MEK/ERK, PI3K/Akt/mTOR, and Jak/STAT cell signaling. The study also provides information about cell signaling crosstalk relevant in tyrosine kinase receptors (TKR)-based systemic therapy in HCC.
Insights
Discoveries in hepatocellular carcinoma (HCC) reveal complex signaling pathways. Targeted therapies, including tyrosine kinase inhibitors (TKIs), offer personalized treatment options to improve patient survival.
Area of Science:
- Oncology
- Molecular Biology
- Hepatology
Background:
- Genomic and molecular markers in hepatocellular carcinoma (HCC) have elucidated complex signal transduction pathways.
- Understanding these pathways is crucial for developing effective liver cancer treatments.
- Current cytotoxic chemotherapies have limitations in efficacy and patient quality of life.
Purpose of the Study:
- To review the current status of molecular receptor tyrosine kinase inhibitor (TKI)-based targeted therapy in HCC.
- To highlight key signaling pathways (Raf/MEK/ERK, PI3K/Akt/mTOR, Jak/STAT) involved in HCC.
- To discuss the relevance of cell signaling crosstalk in TKI-based systemic therapy for HCC.
Main Methods:
- Literature review of genomic and molecular markers in HCC.
- Analysis of signal transduction pathways in normal and liver cancer cells.
- Summary of TKI-based targeted therapies and their mechanisms.
Main Results:
- Identification of molecular targets at the intersection of oncogenic and anti-apoptotic programs.
- Sorafenib as the first approved TKI for advanced HCC treatment.
- Detailed overview of TKIs targeting pathways regulating cell survival, proliferation, angiogenesis, and metastasis.
Conclusions:
- Personalized, targeted molecular therapies based on specific genomic alterations and pathway crosstalk can improve HCC patient survival.
- TKIs represent a significant advancement in HCC treatment, offering alternatives to traditional chemotherapy.
- Further research into signaling pathway crosstalk is essential for optimizing TKI-based combination therapies.
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