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Published on: June 12, 2019
The GATA3 X308_Splice breast cancer mutation is a hormone context-dependent oncogenic driver
Natascha Hruschka1, Mark Kalisz2, Maria Subijana1
1Institute of Cancer Research, Medical University Vienna, Comprehensive Cancer Center, Vienna, Austria.
Abstract:
As the catalog of oncogenic driver mutations is expanding, it becomes clear that alterations in a given gene might have different functions and should not be lumped into one class. The transcription factor GATA3 is a paradigm of this. We investigated the functions of the most common GATA3 mutation (X308_Splice) and five additional mutations, which converge into a neoprotein that we called "neoGATA3," associated with excellent prognosis in patients. Analysis of available molecular data from >3000 breast cancer patients revealed a dysregulation of the ER-dependent transcriptional response in tumors carrying neoGATA3-generating mutations. Mechanistic studies in vitro showed that neoGATA3 interferes with the transcriptional programs controlled by estrogen and progesterone receptors, without fully abrogating them. ChIP-Seq analysis indicated that ER binding is reduced in neoGATA3-expressing cells, especially at distal regions, suggesting that neoGATA3 interferes with the fine tuning of ER-dependent gene expression. This has opposite outputs in distinct hormonal context, having pro- or anti-proliferative effects, depending on the estrogen/progesterone ratio. Our data call for functional analyses of putative cancer drivers to guide clinical application.
Insights
New GATA3 mutations create a "neoGATA3" neoprotein, impacting estrogen receptor (ER) signaling in breast cancer. This finding highlights the need for functional analysis of cancer drivers.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Oncogenic driver mutations are diverse and require functional classification.
- GATA3 mutations exemplify this, with specific alterations leading to a distinct neoprotein.
Purpose of the Study:
- To investigate the function of a novel GATA3 neoprotein, termed "neoGATA3," arising from common mutations.
- To analyze the impact of neoGATA3 on estrogen receptor (ER)-dependent gene expression in breast cancer.
Main Methods:
- Analysis of molecular data from over 3000 breast cancer patients.
- In vitro mechanistic studies.
- Chromatin immunoprecipitation sequencing (ChIP-Seq) to assess ER binding.
Main Results:
- neoGATA3-generating mutations dysregulate ER-dependent transcription in breast cancer.
- neoGATA3 interferes with estrogen and progesterone receptor transcriptional programs.
- Reduced ER binding, particularly at distal regions, was observed in neoGATA3-expressing cells, affecting gene expression fine-tuning.
Conclusions:
- neoGATA3 exhibits context-dependent proliferative effects based on the estrogen/progesterone ratio.
- Functional characterization of cancer driver mutations is crucial for clinical applications.
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