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Enhancer plasticity in endometrial tumorigenesis demarcates non-coding driver mutations and 3D genome alterations to stimulate oncogene expression [RNA-seq_ECa_patients]

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE253906
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The incidence and mortality of Endometrial Cancer (EC) is on the rise. 85% of ECs depend on Estrogen Receptor alpha (ERα) for proliferation, but little is known about its transcriptional regulation in these tumors. We generated epigenomics and Hi-C data streams in healthy and tumor endometrial tissues, identifying robust ERa reprogramming and profound alterations in 3D genome organization that lead to a gain of tumor-specific enhancer activity during EC development. Integration with WGS data from metastatic samples revealed a striking enrichment of non-coding somatic mutations at tumor-enriched ERa sites. Through machine learning-based predictions and interaction proteomics analyses, we identified an enhancer mutation which alters 3D genome organization, impairing recruitment of the transcriptional repressor EHMT2/G9a/KMT1C, thereby alleviating transcriptional repression of ESR1 in EC. In summary, we identified a complex genomic-epigenomic interplay in EC development and progression, altering 3D genome organization to enhance expression of the critical driver ERα. RNA has been extracted by RNeasy mini kit from around 30mg of flash frozen tissue derived from 3 healthy and 3 tumor endometrial tissues of post-menopausal patients. Raw data are available at EGA under restricted access: EGAS00001007240
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2025-05-10
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