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(Phospho)proteomic Profiling Reveals Mutation-Specific Adaptive Signaling to PI3Kα Inhibition in PIK3CA Mutant Breast
Fujia Wang1,2, Maarten Altelaar1,2, Kelly E Stecker1,2
1Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.
Abstract:
Activating PIK3CA mutations are among the most frequent oncogenic drivers in breast cancer, with E545K and H1047R mutants representing the most prevalent hotspot variants. Despite the development of potent PI3K inhibitors, clinical efficacy remains limited in some cases. This underscores the need to understand how specific oncogenic PIK3CA mutations reshape signaling networks and therapeutic responses. Here, we compared the E545K and H1047R mutant breast epithelial cells to delineate mutation-specific signaling programs, growth phenotypes, and responses to PI3Kα inhibition in the presence and absence of insulin, using integrated growth assays and quantitative proteomic and phosphoproteomic profiling. These analyses uncovered mutation-specific signaling architectures and inhibitor sensitivities. Both mutants exhibited basal MAPK activation, but showed divergent MAPK phosphorylation dynamics in distinct PIK3CA mutations, suggesting a pivotal role for MAPK signaling. Upon PI3Kα inhibition with alpelisib, insulin engaged bypass signaling that partially counteracted downstream suppression. MEK inhibition alone suppressed the growth of PIK3CA mutant cells, and dual targeting of PI3K and MAPK signaling produced greater growth suppression than either single agent alone under insulin-stimulated conditions. Collectively, these findings reveal mutation-specific adaptive signaling and support combined PI3Kα and MAPK pathway inhibition as a strategy to improve therapeutic efficacy in PIK3CA mutant breast cancer.
Insights
Activating PIK3CA mutations drive breast cancer. Targeting PI3K and MAPK pathways together shows promise for improving treatment efficacy in PIK3CA-mutant breast cancer.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Signaling
Background:
- Activating PIK3CA mutations are common drivers in breast cancer, with E545K and H1047R being prevalent.
- Current PI3K inhibitors have limited efficacy in some cases, necessitating a deeper understanding of mutation-specific signaling.
Purpose of the Study:
- To compare E545K and H1047R mutant breast epithelial cells to identify mutation-specific signaling programs and growth phenotypes.
- To investigate responses to PI3Kα inhibition, with or without insulin, and delineate adaptive signaling mechanisms.
Main Methods:
- Utilized integrated growth assays and quantitative proteomic and phosphoproteomic profiling.
- Compared E545K and H1047R mutant breast epithelial cells under various conditions.
Main Results:
- Uncovered mutation-specific signaling architectures and differential sensitivities to PI3Kα inhibition.
- Identified basal MAPK activation with divergent phosphorylation dynamics in distinct PIK3CA mutants.
- Observed insulin-induced bypass signaling counteracting PI3Kα inhibition and MEK inhibition alone suppressing growth.
Conclusions:
- Findings reveal mutation-specific adaptive signaling in PIK3CA-driven breast cancer.
- Support combined PI3Kα and MAPK pathway inhibition as a therapeutic strategy for improved efficacy.
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