Oncogenic PIK3CA corrupts growth factor signaling specificity

Technical limitations have prevented understanding of how growth factor signals are encoded in distinct activity patterns of the phosphoinositide 3-kinase (PI3K)/AKT pathway, and how this is altered by oncogenic pathway mutations. We introduce a kinetic, single-cell framework for precise calculations of PI3K-specific information transfer for different growth factors. This features live-cell imaging of PI3K/AKT activity reporters and multiplexed CyTOF measurements of PI3K/AKT and RAS/ERK signaling markers over time. Using this framework, we found that the PIK3CA<sup>H1047R</sup> oncogene was not a simple, constitutive activator of the pathway as often presented. Dose-dependent expression of PIK3CA<sup>H1047R</sup> in human cervical cancer and induced pluripotent stem cells corrupted the fidelity of growth factor-induced information transfer, with preferential amplification of epidermal growth factor receptor (EGFR) signaling responses compared to insulin-like growth factor 1 (IGF1) and insulin receptor signaling. PIK3CA<sup>H1047R</sup> did not only shift these responses to a higher mean but also enhanced signaling heterogeneity. We conclude that oncogenic PIK3CA<sup>H1047R</sup> corrupts information transfer in a growth factor-dependent manner and suggest new opportunities for tuning of receptor-specific PI3K pathway outputs for therapeutic benefit.

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Publication Details

Journal
Molecular Systems Biology
Published
2024-12-20
DOI
https://doi.org/10.1038/s44320-024-00078-x
Citations
10
Primary Topic
PI3K/AKT/mTOR signaling in cancer
Type
article
Field-Weighted Citation Impact
2.34

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Oncogenic PIK3CA corrupts growth factor signaling specificity

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PI3K/AKT/mTOR signaling in cancer
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article

Oncogenic PIK3CA corrupts growth factor signaling specificity

Jahangir Sufi, L. S. P. Davidson, Xiao Qin, Salome Jingchen Zhao, Alix Le Marois, Bart Vanhaesebroeck, Ralitsa Radostinova Madsen, Christopher J. Tape, Margaritis Voliotis, Erik Sahai, Viktor I. Korolchuk, Oliwia N Mruk, Shaozhen Yin, Daniele Morelli, Julia Gorczynska
article en
10 citations

Abstract

Technical limitations have prevented understanding of how growth factor signals are encoded in distinct activity patterns of the phosphoinositide 3-kinase (PI3K)/AKT pathway, and how this is altered by oncogenic pathway mutations. We introduce a kinetic, single-cell framework for precise calculations of PI3K-specific information transfer for different growth factors. This features live-cell imaging of PI3K/AKT activity reporters and multiplexed CyTOF measurements of PI3K/AKT and RAS/ERK signaling markers over time. Using this framework, we found that the PIK3CA<sup>H1047R</sup> oncogene was not a simple, constitutive activator of the pathway as often presented. Dose-dependent expression of PIK3CA<sup>H1047R</sup> in human cervical cancer and induced pluripotent stem cells corrupted the fidelity of growth factor-induced information transfer, with preferential amplification of epidermal growth factor receptor (EGFR) signaling responses compared to insulin-like growth factor 1 (IGF1) and insulin receptor signaling. PIK3CA<sup>H1047R</sup> did not only shift these responses to a higher mean but also enhanced signaling heterogeneity. We conclude that oncogenic PIK3CA<sup>H1047R</sup> corrupts information transfer in a growth factor-dependent manner and suggest new opportunities for tuning of receptor-specific PI3K pathway outputs for therapeutic benefit.

Molecular Systems BiologyVol. 21(2)
University of Dundee (GB), University of Exeter (GB), The Francis Crick Institute (GB), Cancer Research UK (GB), London Cancer (GB), MRC Protein Phosphorylation and Ubiquitylation Unit (GB), MRC Weatherall Institute of Molecular Medicine (GB), CRUK Lung Cancer Centre of Excellence (GB), University College London (GB), Newcastle University (GB)
Eli Lilly and Company, AstraZeneca, Yale University, University of Pittsburgh, Wellcome Trust, Francis Crick Institute, Cancer Research UK, University College London Hospitals NHS Foundation Trust, Horizon 2020 Framework Programme, Medical Research Council, European Research Council, UCLH Biomedical Research Centre
Good health and well-being
Openalex Percentile: Top 11%
PI3K/AKT/mTOR signaling in cancer
2.34
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