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Identification of a co-target for enhancing efficacy of sorafenib in HCC through a quantitative modeling approach
Madhulika Mishra1, Priyanka Jayal1, Anjali A Karande1
1Department of Biochemistry, Indian Institute of Science, Bengaluru, India.
Abstract:
Sorafenib (SFB), a multi-kinase inhibitor, is the only approved drug for treating hepatocellular carcinoma (HCC). However, SFB shows low efficacy in many cases. HCC related mortality therefore remains to be high worldwide. SFB, a multi-kinase inhibitor is also known to modulate the redox homeostasis in cancer cells. To understand the effect of SFB on the redox status, a quantitative understanding of the system is necessary. Kinetic modeling of the relevant pathways is a useful approach for obtaining a quantitative understanding of the pathway dynamics and to rank the individual factors based on the extent of influence they wield on the pathway. Here, we report a comprehensive model of the glutathione reaction network (GSHnet ), consisting of four modules and includes SFB-induced redox stress. We compared GSHnet simulations for HCC of six different etiologies with healthy liver, and correctly identified the expected variations in cancer. Next, we studied alterations induced in the system upon SFB treatment and observed differential H2 O2 dynamics in all the conditions. Using metabolic control analysis, we identified glutathione S-transferase (GST) as the enzyme with the highest selective control coefficient, making it an attractive co-target for potentiating the action of SFB across all six etiologies. As a proof-of-concept, we selected ethacrynic acid (EA), a known inhibitor of GST, and verified ex vivo that EA synergistically potentiates the cytotoxic effect of SFB. Being an FDA approved drug, EA is a promising candidate for repurposing as a combination therapy with SFB for HCC treatment.
Insights
Sorafenib shows limited efficacy for liver cancer (HCC). Targeting glutathione S-transferase (GST) with ethacrynic acid synergistically enhances Sorafenib
Area of Science:
- Biochemistry and Molecular Biology
- Computational Biology
- Cancer Research
Background:
- Sorafenib is the sole approved drug for hepatocellular carcinoma (HCC) but exhibits limited efficacy, contributing to high mortality rates.
- Sorafenib's known modulation of cancer cell redox homeostasis necessitates a quantitative understanding of its effects on redox status.
Purpose of the Study:
- To develop a comprehensive kinetic model of the glutathione reaction network (GSHnet) incorporating Sorafenib-induced redox stress.
- To investigate the impact of Sorafenib on redox dynamics in HCC of various etiologies and identify key regulatory enzymes.
Main Methods:
- Developed a four-module kinetic model of the glutathione reaction network (GSHnet) to simulate Sorafenib effects.
- Compared GSHnet simulations between healthy liver and HCC of six etiologies, and analyzed SFB treatment effects.
- Employed metabolic control analysis to identify enzymes with significant control over the network and assessed synergistic effects ex vivo.
Main Results:
- The model accurately differentiated redox profiles between healthy liver and HCC across six etiologies.
- Sorafenib treatment induced differential hydrogen peroxide (H2O2) dynamics in all simulated conditions.
- Glutathione S-transferase (GST) was identified as a key enzyme, showing the highest selective control coefficient.
Conclusions:
- Glutathione S-transferase (GST) is a promising co-target for potentiating Sorafenib efficacy in HCC across diverse etiologies.
- Ethacrynic acid (EA), a GST inhibitor, synergistically enhances Sorafenib's cytotoxic effect on HCC cells ex vivo.
- Ethacrynic acid (EA) represents a potential candidate for repurposing in combination therapy with Sorafenib for HCC treatment.
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