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Updated: Feb 2, 2026

Analysis of Lymph Node Volume by Ultra-High-Frequency Ultrasound Imaging in the Braf/Pten Genetically Engineered Mouse Model of Melanoma
Published on: September 8, 2021
Systemic network analysis identifies XIAP and IκBα as potential drug targets in TRAIL resistant BRAF mutated melanoma
Greta Del Mistro1,2, Philippe Lucarelli3, Ines Müller1,2
11Experimental Dermatology, Department of Dermatology, TU-Dresden, Dresden, 01307 Germany.
Abstract:
Metastatic melanoma remains a life-threatening disease because most tumors develop resistance to targeted kinase inhibitors thereby regaining tumorigenic capacity. We show the 2nd generation hexavalent TRAIL receptor-targeted agonist IZI1551 to induce pronounced apoptotic cell death in mutBRAF melanoma cells. Aiming to identify molecular changes that may confer IZI1551 resistance we combined Dynamic Bayesian Network modelling with a sophisticated regularization strategy resulting in sparse and context-sensitive networks and show the performance of this strategy in the detection of cell line-specific deregulations of a signalling network. Comparing IZI1551-sensitive to IZI1551-resistant melanoma cells the model accurately and correctly predicted activation of NFκB in concert with upregulation of the anti-apoptotic protein XIAP as the key mediator of IZI1551 resistance. Thus, the incorporation of multiple regularization functions in logical network optimization may provide a promising avenue to assess the effects of drug combinations and to identify responders to selected combination therapies.
Insights
The novel drug IZI1551 effectively induces cell death in BRAF-mutant melanoma. Resistance is mediated by NFκB activation and XIAP upregulation, identified using advanced network modeling.
Area of Science:
- Oncology
- Molecular Biology
- Systems Biology
Background:
- Metastatic melanoma poses a significant threat due to acquired resistance to targeted therapies.
- Tumorigenic capacity can be regained through resistance mechanisms, limiting treatment efficacy.
Purpose of the Study:
- To evaluate the efficacy of the novel TRAIL receptor-targeted agonist, IZI1551, in BRAF-mutant melanoma.
- To identify molecular mechanisms underlying resistance to IZI1551 treatment.
Main Methods:
- Utilized Dynamic Bayesian Network (DBN) modeling combined with a regularization strategy for network optimization.
- Analyzed signaling networks in IZI1551-sensitive versus IZI1551-resistant melanoma cells.
Main Results:
- IZI1551 demonstrated significant apoptotic cell death induction in BRAF-mutant melanoma cells.
- The developed DBN model accurately predicted NFκB activation and XIAP upregulation as key resistance mediators.
- Identified NFκB and XIAP as critical factors conferring resistance to IZI1551.
Conclusions:
- IZI1551 shows promise as a therapeutic agent for metastatic melanoma.
- Network modeling with regularization effectively identifies resistance mechanisms.
- This approach may guide the development of combination therapies and patient stratification.
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