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Published on: September 19, 2018
Tumor-specific Kinase Motif Enrichment Analysis Identifies Personalized Therapeutic Cancer Targets
Abstract:
Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are an uncommon and poorly understood malignancy with low mutational burden, lacking well-defined oncogenic drivers. GEP-NET mortality frequently results from extensive hepatic metastases. Accordingly, we interrogated phosphoproteomic data from GEP-NET liver metastases and patient-matched uninvolved liver to identify tumor-specific signaling and targetable tumor vulnerabilities using Kinase Motif Enrichment Analysis (KMEA), a new tool leveraging the recent Kinase Library compendium of the substrate motif specificity for nearly the entire human kinome. KMEA identified patient tumor-specific upregulation of mTOR or casein kinase 2 (CK2) activity that would be undiscoverable by standard personalized genomic and transcriptomic approaches. Striking concordance was observed between KMEA predictions for specific tumors, and their sensitivity to inhibitors of mTOR or CK2 using patient tumor-derived organoids. These findings reveal potential clinically-actionable protein kinases hyperactivated in GEP-NETs, and more broadly indicate a general method for personalized cancer treatment using phosphoproteomics and KMEA-derived kinase activity signatures.
Insights
Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) show increased mTOR or CK2 activity, discoverable via phosphoproteomics. This identifies new therapeutic targets for liver metastases.
Area of Science:
- Oncology
- Biochemistry
- Molecular Biology
Background:
- Gastroenteropancreatic neuroendocrine tumors (GEP-NETs) are rare malignancies with low mutation burden and unclear drivers.
- Hepatic metastases are a common cause of mortality in GEP-NET patients.
- Standard genomic and transcriptomic methods often fail to identify actionable targets in GEP-NETs.
Purpose of the Study:
- To identify tumor-specific signaling pathways and vulnerabilities in GEP-NET liver metastases.
- To explore the utility of Kinase Motif Enrichment Analysis (KMEA) for personalized cancer treatment.
Main Methods:
- Phosphoproteomic data from GEP-NET liver metastases and matched normal liver tissue were analyzed.
- Kinase Motif Enrichment Analysis (KMEA) was employed using the Kinase Library compendium.
- Patient tumor-derived organoids were used to test sensitivity to kinase inhibitors.
Main Results:
- KMEA revealed patient-specific upregulation of mTOR or CK2 activity in GEP-NET liver metastases.
- These kinase activities were not apparent through standard genomic or transcriptomic analyses.
- Organoid models showed concordance between KMEA predictions and sensitivity to mTOR or CK2 inhibitors.
Conclusions:
- Hyperactivated protein kinases, specifically mTOR and CK2, represent potential therapeutic targets in GEP-NETs.
- Phosphoproteomics combined with KMEA offers a novel approach for personalized cancer therapy.
- This methodology can uncover clinically actionable kinase targets in cancers with low mutational burden.
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