Background: About 40% of relapsed or non-responder tumors exhibit therapeutic resistance in the absence of a clear genetic cause, suggesting a pivotal role of intracellular communication. A deeper understanding of signaling pathways rewiring occurring in resistant cells is crucial to propose alternative effective strategies for cancer patients. Methods: To achieve this goal, we developed a novel multi-step strategy, which integrates high sensitive mass spectrometry-based phosphoproteomics with network-based analysis. This strategy builds context-specific networks recapitulating the signaling rewiring upon drug treatment in therapy-resistant and sensitive cells. Results: We applied this strategy to elucidate the BCR::ABL1-independent mechanisms that drive relapse upon therapy discontinuation in chronic myeloid leukemia (CML) patients. We built a signaling map, detailing - from receptor to key phenotypes - the molecular mechanisms implicated in the control of proliferation, DNA damage response and inflammation of therapy-resistant cells. In-depth analysis of this map uncovered novel therapeutic vulnerabilities. Functional validation in patient-derived leukemic stem cells revealed a crucial role of acquired FLT3-dependency and its underlying molecular mechanism. Conclusions: In conclusion, our study presents a novel generally applicable strategy and the reposition of FLT3, one of the most frequently mutated drivers of acute leukemia, as a potential therapeutic target for CML relapsed patients.

A network-based approach to overcome BCR::ABL1-independent resistance in chronic myeloid leukemia / Bica, Valeria; Venafra, Veronica; Massacci, Giorgia; Graziosi, Simone; Gualdi, Sara; Minnella, Gessica; Sorà, Federica; Chiusolo, Patrizia; Brunetti, Maria Elsa; Napolitano, Gennaro; Breccia, Massimo; Mougiakakos, Dimitrios; Böttcher, Martin; Fischer, Thomas; Perfetto, Livia; Sacco, Francesca. - In: CELL COMMUNICATION AND SIGNALING. - ISSN 1478-811X. - 23:1(2025). [10.1186/s12964-025-02185-0]

A network-based approach to overcome BCR::ABL1-independent resistance in chronic myeloid leukemia

Venafra, Veronica;Gualdi, Sara;Napolitano, Gennaro;Breccia, Massimo;Fischer, Thomas;Perfetto, Livia;
2025

Abstract

Background: About 40% of relapsed or non-responder tumors exhibit therapeutic resistance in the absence of a clear genetic cause, suggesting a pivotal role of intracellular communication. A deeper understanding of signaling pathways rewiring occurring in resistant cells is crucial to propose alternative effective strategies for cancer patients. Methods: To achieve this goal, we developed a novel multi-step strategy, which integrates high sensitive mass spectrometry-based phosphoproteomics with network-based analysis. This strategy builds context-specific networks recapitulating the signaling rewiring upon drug treatment in therapy-resistant and sensitive cells. Results: We applied this strategy to elucidate the BCR::ABL1-independent mechanisms that drive relapse upon therapy discontinuation in chronic myeloid leukemia (CML) patients. We built a signaling map, detailing - from receptor to key phenotypes - the molecular mechanisms implicated in the control of proliferation, DNA damage response and inflammation of therapy-resistant cells. In-depth analysis of this map uncovered novel therapeutic vulnerabilities. Functional validation in patient-derived leukemic stem cells revealed a crucial role of acquired FLT3-dependency and its underlying molecular mechanism. Conclusions: In conclusion, our study presents a novel generally applicable strategy and the reposition of FLT3, one of the most frequently mutated drivers of acute leukemia, as a potential therapeutic target for CML relapsed patients.
2025
BCR:ABL1-independent resistance; chronic myeloid leukemia; computational strategy; drug repurposing; FLT3; phosphoproteomics; signaling pathways
01 Pubblicazione su rivista::01a Articolo in rivista
A network-based approach to overcome BCR::ABL1-independent resistance in chronic myeloid leukemia / Bica, Valeria; Venafra, Veronica; Massacci, Giorgia; Graziosi, Simone; Gualdi, Sara; Minnella, Gessica; Sorà, Federica; Chiusolo, Patrizia; Brunetti, Maria Elsa; Napolitano, Gennaro; Breccia, Massimo; Mougiakakos, Dimitrios; Böttcher, Martin; Fischer, Thomas; Perfetto, Livia; Sacco, Francesca. - In: CELL COMMUNICATION AND SIGNALING. - ISSN 1478-811X. - 23:1(2025). [10.1186/s12964-025-02185-0]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1746492
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