The GATA3 X308_Splice breast cancer mutation is a hormone context-dependent oncogenic driver.
Natascha HruschkaJorge FerrerMaria SubijanaOsvaldo Graña-CastroFrancisco Del Caño-OchoaLaia Paré BrunetIgor ChernukhinAna SagreraAurelien De ReyniesBernhard KloeschSuet-Feung ChinOctavio BurguésDavid AndreuBegoña BermejoJuan Miguel CejalvoJoe SuttonCarlos CaldasSantiago Ramón-MaiquesJason S CarrollAleix PratFrancisco X RealPaola MartinelliPublished in: Oncogene (2020)
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.
Keyphrases
- transcription factor
- estrogen receptor
- gene expression
- dna binding
- genome wide identification
- end stage renal disease
- induced apoptosis
- electronic health record
- chronic kidney disease
- endoplasmic reticulum
- genome wide
- breast cancer cells
- big data
- single cell
- public health
- newly diagnosed
- peritoneal dialysis
- prognostic factors
- papillary thyroid
- air pollution
- cell cycle arrest
- type diabetes
- patient reported outcomes
- young adults
- machine learning
- squamous cell carcinoma
- data analysis
- rna seq
- endoplasmic reticulum stress
- case control
- skeletal muscle
- squamous cell
- circulating tumor cells
- high speed
- single molecule
- mass spectrometry
- patient reported