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The GATA3 X308_Splice breast cancer mutation is a hormone context-dependent oncogenic driver

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 (...

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Detalles Bibliográficos
Autores principales: Hruschka, Natascha, Kalisz, Mark, Subijana, Maria, Graña-Castro, Osvaldo, Del Cano-Ochoa, Francisco, Brunet, Laia Paré, Chernukhin, Igor, Sagrera, Ana, De Reynies, Aurelien, Kloesch, Bernhard, Chin, Suet-Feung, Burgués, Octavio, Andreu, David, Bermejo, Begoña, Cejalvo, Juan Miguel, Sutton, Joe, Caldas, Carlos, Ramón-Maiques, Santiago, Carroll, Jason S., Prat, Aleix, Real, Francisco X., Martinelli, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410826/
https://www.ncbi.nlm.nih.gov/pubmed/32587399
http://dx.doi.org/10.1038/s41388-020-1376-3
Descripción
Sumario: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.