Oncogenic Alterations in PI3K Signaling Emulated Optogenetically Recapitulate Some Phenotypic Changes in Mammary Epithelia

Cancer is known to be a disease of altered cellular signaling; however, the relationship between mutation-specific changes to signal transduction and the phenotypic consequences produced remains poorly understood. Here, we investigate two common breast cancer driver mutations, the <i>PIK3CA</i><sup><i>H1047R</i></sup> mutation and the <i>ErbB2</i> amplification, both of which activate the PI3K-Akt pathway but paradoxically drive distinct cellular outcomes. Indeed, in nontransformed mammary epithelial cells, PI3K<sup><i>H1047R</i></sup> expression induced features of epithelial-mesenchymal transition (EMT), while ErbB2<sup><i>amp</i></sup> cells exhibited a hyperproliferative phenotype. Characterization of PI3K axis signaling revealed that ErbB2<sup><i>amp</i></sup> cells display prolonged, stimulus-dependent PI3K activation, whereas PI3K<sup><i>H1047R</i></sup> cells show constitutive, ligand-independent signaling. To test whether these distinct dynamics contribute to the phenotypic responses, we employed an iLID-based optogenetic system that enables precise, tunable control of endogenous PI3K activity. Using this tool to mimic the mutation-specific dynamics in MCF10A mammary epithelial cells, we found that PI3K signaling patterns alone were sufficient to reproduce key features of the <i>PIK3CA H1047R</i>-associated EMT phenotype but not the <i>ErbB2</i>-associated proliferative phenotype. These findings suggest that the temporal encoding of pathway activity, not merely its magnitude, can drive some phenotypic changes in oncogenic progression, explain how distinct mutations within a common signaling pathway can produce divergent cellular phenotypes, and provide a workflow for interrogating the functional consequences of changes in signaling dynamics.

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Journal
ACS Synthetic Biology
Published
2026-01-19
DOI
https://doi.org/10.1021/acssynbio.5c00651
Primary Topic
Cancer Cells and Metastasis
Type
article
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article

Oncogenic Alterations in PI3K Signaling Emulated Optogenetically Recapitulate Some Phenotypic Changes in Mammary Epithelia

Terry Ching, Amy E. Stoddard, Ahmad S. Khalil, Jeroen Eyckmans et al.
ACS Synthetic Biology
Cancer Cells and Metastasis
article

Oncogenic Alterations in PI3K Signaling Emulated Optogenetically Recapitulate Some Phenotypic Changes in Mammary Epithelia

Terry Ching, Amy E. Stoddard, Ahmad S. Khalil, Jeroen Eyckmans, Christopher S. Chen, Veronica Hui, Esther Koh, Keith A. Gagnon
article en

Abstract

Cancer is known to be a disease of altered cellular signaling; however, the relationship between mutation-specific changes to signal transduction and the phenotypic consequences produced remains poorly understood. Here, we investigate two common breast cancer driver mutations, the <i>PIK3CA</i><sup><i>H1047R</i></sup> mutation and the <i>ErbB2</i> amplification, both of which activate the PI3K-Akt pathway but paradoxically drive distinct cellular outcomes. Indeed, in nontransformed mammary epithelial cells, PI3K<sup><i>H1047R</i></sup> expression induced features of epithelial-mesenchymal transition (EMT), while ErbB2<sup><i>amp</i></sup> cells exhibited a hyperproliferative phenotype. Characterization of PI3K axis signaling revealed that ErbB2<sup><i>amp</i></sup> cells display prolonged, stimulus-dependent PI3K activation, whereas PI3K<sup><i>H1047R</i></sup> cells show constitutive, ligand-independent signaling. To test whether these distinct dynamics contribute to the phenotypic responses, we employed an iLID-based optogenetic system that enables precise, tunable control of endogenous PI3K activity. Using this tool to mimic the mutation-specific dynamics in MCF10A mammary epithelial cells, we found that PI3K signaling patterns alone were sufficient to reproduce key features of the <i>PIK3CA H1047R</i>-associated EMT phenotype but not the <i>ErbB2</i>-associated proliferative phenotype. These findings suggest that the temporal encoding of pathway activity, not merely its magnitude, can drive some phenotypic changes in oncogenic progression, explain how distinct mutations within a common signaling pathway can produce divergent cellular phenotypes, and provide a workflow for interrogating the functional consequences of changes in signaling dynamics.

ACS Synthetic BiologyVol. 15(2)
Harvard–MIT Division of Health Sciences and Technology (US), Inspire (CH), Massachusetts Institute of Technology (US)
Openalex Percentile: Top 84%
Cancer Cells and Metastasis
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