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bioRxiv : the preprint server for biology · 2026

Tumor-specific Kinase Motif Enrichment Analysis Identifies Personalized Therapeutic Cancer Targets.

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Pu Tracey, Joughin Brian A, Desai Priyanka P, Forsythe Steven D, Holewinski Ronald, Remmert Kirsten, Gasmi Billel, Coleman Kendra, Leach Timothy, Johansen Allan M, Russell Nicole, Ma Lichun, Rainey Ashley, Sarvestani Amber Leila, Smith Emily, Sinha Surajit, Mukherjee Sunanda, Luberice Kenneth, Xiao Sophia, Larrain Carolina M, Eade Alyssa V, Friedman Lindsay R, Ho Jason, Davis Jeremy L, Blakely Andrew M, Kleiner David E, Sadowski Samira M, Andresson Thorkell, Rivero Jaydira Del, Yaffe Michael B, Hernandez Jonathan M

Аннотация

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.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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