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.
Authors
- Terry Ching (ORCID: https://orcid.org/0000-0002-5747-2020)
- Amy E. Stoddard (ORCID: https://orcid.org/0000-0002-6506-7535)
- Ahmad S. Khalil (ORCID: https://orcid.org/0000-0002-8214-0546)
- Jeroen Eyckmans (ORCID: https://orcid.org/0000-0003-1475-8149)
- Christopher S. Chen (ORCID: https://orcid.org/0000-0003-2445-8449)
- Veronica Hui
- Esther Koh
- Keith A. Gagnon
Institutions
- Harvard–MIT Division of Health Sciences and Technology (US)
- Inspire (CH)
- Massachusetts Institute of Technology (US)
Publication Details
- Journal
- ACS Synthetic Biology
- Published
- 2026-01-19
- DOI
- https://doi.org/10.1021/acssynbio.5c00651
- Primary Topic
- Cancer Cells and Metastasis
- Type
- article
- Field-Weighted Citation Impact
- 0.00