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                  <mods:namePart>Martinelli, Paola</mods:namePart>
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                  <mods:namePart>Ministerio de Ciencia, Innovación y Universidades (España)</mods:namePart>
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                  <mods:namePart>Institute of Cancer Research of the Medical University Vienna</mods:namePart>
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                  <mods:dateAccessioned encoding="iso8601">2024-02-13T11:10:29Z</mods:dateAccessioned>
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                  <mods:dateIssued encoding="iso8601">2020-08</mods:dateIssued>
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               <mods:identifier type="citation">Oncogene  . 2020;39(32):5455-5467.</mods:identifier>
               <mods:identifier type="uri">http://hdl.handle.net/20.500.12105/18189</mods:identifier>
               <mods:identifier type="pubmedID">32587399</mods:identifier>
               <mods:identifier type="doi">10.1038/s41388-020-1376-3</mods:identifier>
               <mods:identifier type="e-issn">1476-5594</mods:identifier>
               <mods:identifier type="journal">Oncogene</mods:identifier>
               <mods:identifier type="pmc">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7410826/</mods:identifier>
               <mods: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.</mods:abstract>
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                  <mods:title>The GATA3 X308_Splice breast cancer mutation is a hormone context-dependent oncogenic driver.</mods:title>
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