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      The DEAD box protein p72 regulates ERα-/Estrogen-dependent transcription and cell growth, and is associated with improved survival in ERα positive breast cancer

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          Abstract

          The DEAD-box RNA helicases p68 (DDX5) and p72 (DDX17) have been shown to act as transcriptional co-activators for a diverse range of transcription factors, including estrogen receptor α (ERα). Here, we show that, although both proteins interact with and co-activate ERα in reporter gene assays, siRNA-mediated knockdown of p72, but not p68, results in a significant inhibition of estrogen-dependent transcription of endogenous ERα-responsive genes and estrogen-dependent growth of MCF-7 and ZR75-1 breast cancer cells. Furthermore, immunohistochemical staining of ERα-positive primary breast cancers for p68 and p72 indicate that p72 expression is associated with an increased period of relapse-free and overall survival (p=0.006 and p=0.016 respectively), as well as being inversely associated with Her2 expression (p=0.008). Conversely, p68 shows no association with relapse-free period, or overall, survival but it is associated with an increased expression of Her2 (p=0.001), AIB-1 (p<0.001) and higher tumour grade (p=0.044). Our data thus highlight a crucial role for p72 in ERα co-activation and estrogen-dependent cell growth and provide evidence in support of distinct but important roles for both p68 and p72 in regulating ERα activity in breast cancer.

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          Most cited references40

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          DNA microarrays have been widely applied to cancer transcriptome analysis; however, the majority of such data are not easily accessible or comparable. Furthermore, several important analytic approaches have been applied to microarray analysis; however, their application is often limited. To overcome these limitations, we have developed Oncomine, a bioinformatics initiative aimed at collecting, standardizing, analyzing, and delivering cancer transcriptome data to the biomedical research community. Our analysis has identified the genes, pathways, and networks deregulated across 18,000 cancer gene expression microarrays, spanning the majority of cancer types and subtypes. Here, we provide an update on the initiative, describe the database and analysis modules, and highlight several notable observations. Results from this comprehensive analysis are available at http://www.oncomine.org.
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                Author and article information

                Journal
                8711562
                6325
                Oncogene
                Oncogene
                Oncogene
                0950-9232
                1476-5594
                23 September 2009
                31 August 2009
                19 November 2009
                19 May 2010
                : 28
                : 46
                : 4053-4064
                Affiliations
                [1 ]Centre for Oncology and Molecular Medicine, University of Dundee, Ninewells Hospital & Medical School, Dundee, DD1 9SY, United Kingdom
                [2 ]Dept of Oncology, Imperial College London, Hammersmith Hospital Campus, Du Cane Road, London W12 0NN, United Kingdom
                [3 ]Dept of Histopathology, Imperial College London, Charing Cross Hospital, St Dunstan’s Road, London W9 8RF, United Kingdom
                [4 ]Statistical Advisory Service, Imperial College London, South Kensington Campus, London SW7 1NA, United Kingdom
                [5 ]Tayside Tissue Bank, University of Dundee, Ninewells Hospital & Medical School, Dundee, DD1 9SY, United Kingdom
                Author notes
                [6]

                Contributed equally to this work

                [7 ]Authors for correspondence: simak.ali@ 123456imperial.ac.uk ; f.v.fullerpace@ 123456dundee.ac.uk Tel: 01382 496370 (F Fuller-Pace)
                Article
                UKMS27841
                10.1038/onc.2009.261
                2780396
                19718048
                959452f9-fddc-4d06-b36e-ec4b39157abe

                Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms

                History
                Funding
                Funded by: Cancer Research UK :
                Award ID: A9335 || CRUK_
                Categories
                Article

                Oncology & Radiotherapy
                estrogen receptor α,p72 rna helicase,p68 rna helicase,breast cancer,tamoxifen,gene regulation

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