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Updated: Oct 2, 2025

Intracellular Phosphoflow Cytometry of Acute Myeloid Leukemia Patient-Derived Xenotransplants
Published on: June 6, 2025
Phosphoproteomic profiling of T cell acute lymphoblastic leukemia reveals targetable kinases and combination
Valentina Cordo'1, Mariska T Meijer1, Rico Hagelaar1
1Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
Abstract:
Protein kinase inhibitors are amongst the most successful cancer treatments, but targetable kinases activated by genomic abnormalities are rare in T cell acute lymphoblastic leukemia. Nevertheless, kinases can be activated in the absence of genetic defects. Thus, phosphoproteomics can provide information on pathway activation and signaling networks that offer opportunities for targeted therapy. Here, we describe a mass spectrometry-based global phosphoproteomic profiling of 11 T cell acute lymphoblastic leukemia cell lines to identify targetable kinases. We report a comprehensive dataset consisting of 21,000 phosphosites on 4,896 phosphoproteins, including 217 kinases. We identify active Src-family kinases signaling as well as active cyclin-dependent kinases. We validate putative targets for therapy ex vivo and identify potential combination treatments, such as the inhibition of the INSR/IGF-1R axis to increase the sensitivity to dasatinib treatment. Ex vivo validation of selected drug combinations using patient-derived xenografts provides a proof-of-concept for phosphoproteomics-guided design of personalized treatments.
Insights
Phosphoproteomics identified active kinases in T cell acute lymphoblastic leukemia, revealing new therapeutic targets. This approach guides personalized cancer treatments by uncovering key signaling pathways for drug development.
Area of Science:
- Oncology
- Biochemistry
- Molecular Biology
Background:
- Protein kinase inhibitors are effective cancer treatments, but targetable kinases are scarce in T cell acute lymphoblastic leukemia (T-ALL).
- Kinase activation can occur without genetic defects, necessitating alternative methods to identify therapeutic vulnerabilities.
- Phosphoproteomics offers insights into pathway activation and signaling networks crucial for targeted therapy development.
Purpose of the Study:
- To identify targetable kinases in T-ALL using global phosphoproteomic profiling.
- To establish a comprehensive phosphoproteomic dataset for T-ALL cell lines.
- To validate potential therapeutic targets and combination treatments for T-ALL.
Main Methods:
- Mass spectrometry-based global phosphoproteomic profiling of 11 T-ALL cell lines.
- Comprehensive dataset generation including phosphosites, phosphoproteins, and kinases.
- Ex vivo validation of identified targets and drug combinations using patient-derived xenografts.
Main Results:
- A dataset of 21,000 phosphosites on 4,896 phosphoproteins, including 217 kinases, was generated.
- Active Src-family kinases and cyclin-dependent kinases signaling pathways were identified.
- Inhibition of the Insulin Receptor/Insulin-like Growth Factor 1 Receptor (INSR/IGF-1R) axis enhanced sensitivity to dasatinib treatment.
Conclusions:
- Phosphoproteomics is a valuable tool for identifying targetable kinases in T-ALL.
- Targeting specific signaling pathways, like INSR/IGF-1R, can overcome resistance to existing therapies.
- This study provides a proof-of-concept for phosphoproteomics-guided personalized T-ALL treatment strategies.
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