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Oncogenic Alterations in PI3K Signaling Emulated Optogenetically Recapitulate Some Phenotypic Changes in Mammary
Keith A Gagnon1,2, Veronica W Hui1,3, Terry Ching1,2,4
1Department of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, United States.
ACS Synthetic Biology
|January 19, 2026
Summary
Distinct breast cancer mutations activate the same pathway but cause different cell behaviors. Signaling patterns, not just strength, can drive these divergent outcomes, impacting cancer progression.
Area of Science:
- Oncology
- Cell Biology
- Molecular Biology
Background:
- Cancer involves altered cellular signaling, but links between specific mutations, signal transduction, and cell phenotypes are unclear.
- Two common breast cancer mutations, PIK3CA H1047R and ErbB2 amplification, activate the PI3K-Akt pathway but yield different cellular outcomes.
Purpose of the Study:
- Investigate how distinct mutations in the PI3K-Akt pathway lead to different cellular phenotypes in breast cancer.
- Determine if the temporal dynamics of PI3K pathway activation, rather than just magnitude, influence phenotypic consequences.
Main Methods:
- Utilized an optogenetic system (iLID) for precise, tunable control of PI3K pathway activity in mammary epithelial cells.
- Expressed PIK3CA H1047R mutation or ErbB2 amplification in MCF10A cells to compare signaling dynamics and phenotypes.
- Mimicked mutation-specific PI3K signaling dynamics using optogenetics to assess their sufficiency in driving phenotypes.
Main Results:
- PIK3CA H1047R expression induced epithelial-mesenchymal transition (EMT) features, while ErbB2 amplification caused hyperproliferation.
- PIK3CA H1047R cells showed constitutive PI3K activation, whereas ErbB2 amplified cells displayed prolonged, stimulus-dependent activation.
- Optogenetic mimicry of PI3K signaling patterns reproduced EMT features associated with PIK3CA H1047R but not the proliferative phenotype of ErbB2 amplification.
Conclusions:
- Temporal patterns of PI3K pathway activity, not solely its magnitude, can drive distinct phenotypic changes in oncogenic progression.
- Explains how different mutations within a shared signaling pathway can result in divergent cellular phenotypes.
- Provides a novel optogenetic workflow for studying the functional impact of signaling dynamics in cancer.
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