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An Integrated Network of Androgen Receptor and TMPRSS2-ERG Gene Fusion in Prostate Cancer Progression (II)

GSE14092 Homo sapiens Genome binding/occupancy profiling by high throughput sequencing; Expression profiling by high throughput sequencing 60 samples Submitted 2010/05/18 Platform GPL9052
Summary
Androgen receptor (AR) is a transcription factor that plays a central role in the growth and development of the normal prostate and its malignant transformation. More recently, a majority of prostate cancers have been shown to harbor recurrent gene fusions of the androgen-regulated gene, TMPRSS2, to the oncogenic ETS transcription factor ERG. Here we employed chromatin immunoprecipitation coupled to massively parallel sequencing (ChIP-Seq) to explore the genome-wide localization of these transcription factors in human prostate cancer cell lines as well as tissues. Unexpectedly, transcriptional networks emanating from AR and ERG were found to be highly overlapping. Furthermore, AR was found to regulate known 5’ fusion partners in prostate cancer including TMPRSS2, as well as negatively regulating its own expression. While induced by androgen through fusion to TMPRSS2, ERG itself was shown to inhibit AR expression and positively regulate the genomic locus of wild-type ERG, thus revealing multiple levels of molecular cross-talk between AR and ERG. Importantly, androgen-sensitive prostate cancer cells in which ERG is overexpressed are able to proliferate and invade in the absence of androgen. Thus, we dissected the intertwined genomic landscape of two master transcriptional regulators of prostate cancer and suggest a role for ERG in maintaining transcriptional networks necessary for androgen-independent prostate cancer growth. These studies may suggest that future therapies against prostate cancer should target both AR and ERG, rather than AR alone, in order to achieve maximum effectiveness.
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Direct links to NCBI, no account and no request form: the whole study as GSE14092_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 60 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA114515 and SRA study SRP002489. Searching any of these in the dataset finder brings you back here.

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