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Updated: Feb 6, 2026

Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020
Applied diagnostics in liver cancer. Efficient combinations of sorafenib with targeted inhibitors blocking AKT/mTOR
Susana Llerena1,2, Nuria García-Díaz3,4, Soraya Curiel-Olmo3
1Gastroenterology and Hepatology Unit, Hospital Universitario Marqués de Valdecilla, Santander, Spain.
Abstract:
Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related deaths worldwide. There is increasing interest in developing specific markers to serve as predictors of response to sorafenib and to guide targeted therapy. Using a sequencing platform designed to study somatic mutations in a selection of 112 genes (HepatoExome), we aimed to characterize lesions from HCC patients and cell lines, and to use the data to study the biological and mechanistic effects of case-specific targeted therapies used alone or in combination with sorafenib. We characterized 331 HCC cases in silico and 32 paired samples obtained prospectively from primary tumors of HCC patients. Each case was analyzed in a time compatible with the requirements of the clinic (within 15 days). In 53% of the discovery cohort cases, we detected unique mutational signatures, with up to 34% of them carrying mutated genes with the potential to guide therapy. In a panel of HCC cell lines, each characterized by a specific mutational signature, sorafenib elicited heterogeneous mechanistic and biological responses, whereas targeted therapy provoked the robust inhibition of cell proliferation and DNA synthesis along with the blockage of AKT/mTOR signaling. The combination of sorafenib with targeted therapies exhibited synergistic anti-HCC biological activity concomitantly with highly effective inhibition of MAPK and AKT/mTOR signaling. Thus, somatic mutations may lead to identify case-specific mechanisms of disease in HCC lesions arising from multiple etiologies. Moreover, targeted therapies guided by molecular characterization, used alone or in combination with sorafenib, can effectively block important HCC disease mechanisms.
Insights
Identifying unique mutations in hepatocellular carcinoma (HCC) can guide targeted therapies. Molecular profiling reveals that targeted treatments, alone or with sorafenib, effectively inhibit HCC growth and signaling pathways.
Area of Science:
- Oncology
- Genomics
- Molecular Biology
Background:
- Hepatocellular carcinoma (HCC) is a leading cause of cancer mortality globally.
- Predictive biomarkers for sorafenib response and targeted therapy guidance are urgently needed.
- Understanding HCC mutational landscape is crucial for personalized treatment strategies.
Purpose of the Study:
- To characterize somatic mutations in HCC using the HepatoExome sequencing platform.
- To investigate the efficacy of targeted therapies, alone or combined with sorafenib, based on individual mutational profiles.
- To correlate specific mutations with biological responses and signaling pathway inhibition in HCC.
Main Methods:
- Utilized the HepatoExome sequencing platform to analyze somatic mutations in 112 genes.
- In silico characterization of 331 HCC cases and prospective analysis of 32 primary tumor samples.
- Assessed the biological and mechanistic effects of sorafenib and targeted therapies in HCC cell lines with distinct mutational signatures.
Main Results:
- Detected unique mutational signatures in 53% of HCC cases, with 34% harboring targetable mutations.
- Sorafenib demonstrated heterogeneous responses in HCC cell lines, while targeted therapies robustly inhibited proliferation and DNA synthesis.
- Combination therapy synergistically inhibited HCC growth and suppressed MAPK and AKT/mTOR signaling pathways.
Conclusions:
- Somatic mutations can identify case-specific disease mechanisms in HCC across various etiologies.
- Molecularly guided targeted therapies, with or without sorafenib, offer effective strategies to block critical HCC pathways.
- Personalized therapeutic approaches based on genomic profiling hold promise for improving HCC treatment outcomes.
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