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Computational and Functional Analyses of HER2 Mutations Reveal Allosteric Activation Mechanisms and Altered
Noboru Ishiyama1, Matthew O'Connor1, Andrei Salomatov1
1Black Diamond Therapeutics, Inc., New York, New York.
Abstract:
Amplification of HER2 can drive the proliferation of cancer cells, and several inhibitors of HER2 have been successfully developed. Recent advances in next-generation sequencing now reveal that HER2 is subject to mutation, with over 2,000 unique variants observed in human cancers. Several examples of oncogenic HER2 mutations have been described, and these primarily occur at allosteric sites outside the ATP-binding site. To identify the full spectrum of oncogenic HER2 driver mutations aside from a few well-studied mutations, we developed mutation-allostery-pharmacology (MAP), an in silico prediction algorithm based on machine learning. By applying this computational approach to 820 single-nucleotide variants, a list of 222 known and potential driver mutations was produced. Of these 222 mutations, 111 were screened by Ba/F3-retrovirus proliferation assays; 37 HER2 mutations were experimentally determined to be driver mutations, comprising 15 previously characterized and 22 newly identified oncogenic mutations. These oncogenic mutations mostly affected allosteric sites in the extracellular domain (ECD), transmembrane domain, and kinase domain of HER2, with only a single mutation in the HER2 orthosteric ATP site. Covalent homodimerization was established as a common mechanism of activation among HER2 ECD allosteric mutations, including the most prevalent HER2 mutation, S310F. Furthermore, HER2 allosteric mutants with enhanced covalent homodimerization were characterized by altered pharmacology that reduces the activity of existing anti-HER2 agents, including the mAb trastuzumab and the tyrosine kinase inhibitor lapatinib. Overall, the MAP-scoring and functional validation analyses provided new insights into the oncogenic activity and therapeutic targeting of HER2 mutations in cancer.
Significance:
This study identified new oncogenic HER2 allosteric mutations, including ECD mutations that share covalent dimerization as a mechanism of oncogenicity, suggesting the need for novel inhibitors to treat HER2-mutant cancers.
Insights
Researchers identified new oncogenic HER2 mutations, including allosteric variants, that drive cancer cell proliferation. These mutations can reduce the effectiveness of current HER2-targeted therapies, highlighting the need for novel treatment strategies.
Area of Science:
- Oncology
- Genetics
- Computational Biology
Background:
- HER2 amplification drives cancer proliferation, with inhibitors developed.
- Next-generation sequencing reveals over 2,000 unique HER2 variants in human cancers.
- Known oncogenic HER2 mutations often occur at allosteric sites.
Purpose of the Study:
- To identify the full spectrum of oncogenic HER2 driver mutations.
- To develop a computational algorithm for predicting HER2 driver mutations.
- To experimentally validate predicted HER2 mutations.
Main Methods:
- Developed the mutation-allostery-pharmacology (MAP) in silico prediction algorithm.
- Applied MAP to 820 single-nucleotide variants to identify potential driver mutations.
- Screened 111 predicted mutations using Ba/F3-retrovirus proliferation assays.
Main Results:
- Identified 222 known and potential HER2 driver mutations.
- Experimentally confirmed 37 HER2 mutations as drivers, including 22 newly identified ones.
- Found that oncogenic mutations primarily affect allosteric sites, with covalent homodimerization as a common activation mechanism.
Conclusions:
- New oncogenic HER2 allosteric mutations were identified, including ECD mutations.
- Covalent dimerization is a key mechanism for HER2 ECD allosteric mutations.
- Altered pharmacology of HER2 mutants necessitates novel inhibitors for HER2-mutant cancers.
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