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作 者:Emanuele Vitale Elisabetta Sauta Mila Gugnoni Federica Torricelli Veronica Manicardi Alessia Ciarrocchi
机构地区:[1]Laboratory of Translational Research,Azienda Unità Sanitaria Locale-IRCCS di Reggio Emilia,Reggio Emilia 42123,Italy [2]Clinical and Experimental Medicine PhD Program,University of Modena and Reggio Emilia,Modena 41121,Italy [3]Department of Electrical,Computer and Biomedical Engineering,University of Pavia,Pavia 27100,Italy
出 处:《Cancer Communications》2022年第9期892-896,共5页癌症通讯(英文)
基 金:Fondazione Italiana per la Ricerca sul Cancro(project code:AIRC IG21772).
摘 要:Dear Editor Aberrant gene expression sustains massive proliferation and stress adaptation under the regulation of oncogenic transcription factors(TFs)whose binding across the genome orchestrates in space and time transcription.Transcriptional dependency defines the addiction of cancer cells to TFs on top of the regulatory hierarchy governing cancer dysregulated programs[1].These factors and their dependent mechanisms are an attractive and unexplored reservoir of potential targets for new anticancer drugs.Still,while the transcriptional landscape of many cancer-supportive TFs has been revealed,this information remains purely descriptive and confined to in vitro models.To foster transferability,new approaches that integrate clinical data into the transcriptional networks are needed.
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