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Published on: December 26, 2016
Therapeutically targeting ErbB3: a key node in ligand-induced activation of the ErbB receptor-PI3K axis
Birgit Schoeberl1, Emily A Pace, Jonathan B Fitzgerald
1Merrimack Pharmaceuticals, One Kendall Square, Building 700, Cambridge, MA 02139, USA.
Abstract:
The signaling network downstream of the ErbB family of receptors has been extensively targeted by cancer therapeutics; however, understanding the relative importance of the different components of the ErbB network is nontrivial. To explore the optimal way to therapeutically inhibit combinatorial, ligand-induced activation of the ErbB-phosphatidylinositol 3-kinase (PI3K) axis, we built a computational model of the ErbB signaling network that describes the most effective ErbB ligands, as well as known and previously unidentified ErbB inhibitors. Sensitivity analysis identified ErbB3 as the key node in response to ligands that can bind either ErbB3 or EGFR (epidermal growth factor receptor). We describe MM-121, a human monoclonal antibody that halts the growth of tumor xenografts in mice and, consistent with model-simulated inhibitor data, potently inhibits ErbB3 phosphorylation in a manner distinct from that of other ErbB-targeted therapies. MM-121, a previously unidentified anticancer therapeutic designed using a systems approach, promises to benefit patients with combinatorial, ligand-induced activation of the ErbB signaling network that are not effectively treated by current therapies targeting overexpressed or mutated oncogenes.
Insights
ErbB3 is a key target in cancer signaling. A new antibody, MM-121, effectively inhibits ErbB3 phosphorylation and tumor growth, offering a novel therapeutic strategy for specific cancers.
Area of Science:
- Oncology
- Molecular Biology
- Computational Biology
Background:
- The ErbB receptor signaling network is crucial in cancer, but its complexity makes therapeutic targeting challenging.
- Understanding the relative importance of ErbB network components is vital for effective cancer treatment.
- Combinatorial, ligand-induced activation of the ErbB-phosphatidylinositol 3-kinase (PI3K) axis presents a therapeutic hurdle.
Purpose of the Study:
- To computationally model the ErbB signaling network to identify optimal therapeutic inhibition strategies.
- To explore the role of ErbB3 in response to various ErbB ligands.
- To introduce and characterize a novel therapeutic agent targeting the ErbB network.
Main Methods:
- Development of a computational model of the ErbB signaling network.
- Sensitivity analysis to identify key nodes and ligands.
- Characterization of a human monoclonal antibody (MM-121) in preclinical cancer models.
Main Results:
- Sensitivity analysis identified ErbB3 as a critical node in ErbB signaling.
- MM-121 demonstrated potent inhibition of ErbB3 phosphorylation, distinct from other ErbB therapies.
- MM-121 halted tumor xenograft growth in mice, validating its therapeutic potential.
Conclusions:
- ErbB3 is a key therapeutic target in ErbB-driven cancers.
- MM-121 represents a novel, systems-designed therapeutic for ErbB signaling pathway-related cancers.
- This approach offers a promising new treatment for patients unresponsive to current therapies.
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