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      The Mutational Landscape of Lethal Castrate Resistant Prostate Cancer

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          Abstract

          Characterization of the prostate cancer transcriptome and genome has identified chromosomal rearrangements and copy number gains/losses, including ETS gene fusions, PTEN loss and androgen receptor ( AR) amplification, that drive prostate cancer development and progression to lethal, metastatic castrate resistant prostate cancer (CRPC) 1 . As less is known about the role of mutations 24 , here we sequenced the exomes of 50 lethal, heavily-pretreated metastatic CRPCs obtained at rapid autopsy (including three different foci from the same patient) and 11 treatment naïve, high-grade localized prostate cancers. We identified low overall mutation rates even in heavily treated CRPC (2.00/Mb) and confirmed the monoclonal origin of lethal CRPC. Integrating exome copy number analysis identified disruptions of CHD1, which define a subtype of ETS fusionnegative prostate cancer. Similarly, we demonstrate that ETS2, which is deleted in ~1/3 of CRPCs (commonly through TMPRSS2:ERG fusions), is also deregulated through mutation. Further, we identified recurrent mutations in multiple chromatin/histone modifying genes, including MLL2 (mutated in 8.6% of prostate cancers), and demonstrate interaction of the MLL complex with AR, which is required for AR-mediated signaling. We also identified novel recurrent mutations in the AR collaborating factor FOXA1, which is mutated in 5 of 147 (3.4%) prostate cancers (both untreated localized prostate cancer and CRPC), and showed that mutated FOXA1 represses androgen signaling and increases tumour growth. Proteins that physically interact with AR, such as the ERG gene fusion product, FOXA1, MLL2, UTX, and ASXL1 were found to be mutated in CRPC. In summary, we describe the mutational landscape of a heavily treated metastatic cancer, identify novel mechanisms of AR signaling deregulated in prostate cancer, and prioritize candidates for future study.

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          Molecular genetics of prostate cancer: new prospects for old challenges.

          Despite much recent progress, prostate cancer continues to represent a major cause of cancer-related mortality and morbidity in men. Since early studies on the role of the androgen receptor that led to the advent of androgen deprivation therapy in the 1940s, there has long been intensive interest in the basic mechanisms underlying prostate cancer initiation and progression, as well as the potential to target these processes for therapeutic intervention. Here, we present an overview of major themes in prostate cancer research, focusing on current knowledge of principal events in cancer initiation and progression. We discuss recent advances, including new insights into the mechanisms of castration resistance, identification of stem cells and tumor-initiating cells, and development of mouse models for preclinical evaluation of novel therapuetics. Overall, we highlight the tremendous research progress made in recent years, and underscore the challenges that lie ahead.
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            Genome-wide analysis of ETS-family DNA-binding in vitro and in vivo

            Members of the large ETS family of transcription factors (TFs) have highly similar DNA-binding domains (DBDs)—yet they have diverse functions and activities in physiology and oncogenesis. Some differences in DNA-binding preferences within this family have been described, but they have not been analysed systematically, and their contributions to targeting remain largely uncharacterized. We report here the DNA-binding profiles for all human and mouse ETS factors, which we generated using two different methods: a high-throughput microwell-based TF DNA-binding specificity assay, and protein-binding microarrays (PBMs). Both approaches reveal that the ETS-binding profiles cluster into four distinct classes, and that all ETS factors linked to cancer, ERG, ETV1, ETV4 and FLI1, fall into just one of these classes. We identify amino-acid residues that are critical for the differences in specificity between all the classes, and confirm the specificities in vivo using chromatin immunoprecipitation followed by sequencing (ChIP-seq) for a member of each class. The results indicate that even relatively small differences in in vitro binding specificity of a TF contribute to site selectivity in vivo.
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              A hierarchical network of transcription factors governs androgen receptor-dependent prostate cancer growth.

              Androgen receptor (AR) is a ligand-dependent transcription factor that plays a key role in prostate cancer. Little is known about the nature of AR cis-regulatory sites in the human genome. We have mapped the AR binding regions on two chromosomes in human prostate cancer cells by combining chromatin immunoprecipitation (ChIP) with tiled oligonucleotide microarrays. We find that the majority of AR binding regions contain noncanonical AR-responsive elements (AREs). Importantly, we identify a noncanonical ARE as a cis-regulatory target of AR action in TMPRSS2, a gene fused to ETS transcription factors in the majority of prostate cancers. In addition, through the presence of enriched DNA-binding motifs, we find other transcription factors including GATA2 and Oct1 that cooperate in mediating the androgen response. These collaborating factors, together with AR, form a regulatory hierarchy that governs androgen-dependent gene expression and prostate cancer growth and offer potential new opportunities for therapeutic intervention.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                10 April 2012
                12 July 2012
                12 January 2013
                : 487
                : 7406
                : 239-243
                Affiliations
                [1 ]Michigan Center for Translational Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
                [2 ]Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
                [3 ]Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
                [4 ]Department of Urology, University of Michigan Medical School, Ann Arbor, MI, USA
                [5 ]Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, MI, USA
                [6 ]Howard Hughes Medical Institute, University of Michigan Medical School, Ann Arbor, MI, USA
                [7 ]Division of Biostatistics, Yale School of Public Health, New Haven, CT, USA
                [8 ]Department of Computer Science & Center for Computational Molecular Biology, Brown University, Providence, RI, USA
                [9 ]Compendia Bioscience, Ann Arbor, MI USA
                Author notes
                [* ]Corresponding authors: Kenneth J. Pienta, M.D., American Cancer Society Professor, Professor of Internal Medicine and Urology, Comprehensive Cancer Center, kpienta@ 123456med.umich.edu . Arul M. Chinnaiyan, M.D., Ph.D., Investigator, Howard Hughes Medical Institute, American Cancer Society Professor, S. P. Hicks Endowed Professor of Pathology, Professor of Pathology and Urology, Comprehensive Cancer Center, arul@ 123456umich.edu , University of Michigan Medical School, 1400 E. Medical Center Dr. 5316 CCGC, Ann Arbor, MI 48109-0602
                [#]

                These authors contributed equally

                Article
                NIHMS368879
                10.1038/nature11125
                3396711
                22722839
                37b8cb18-957e-4e1c-b0cc-b1366a3131b4

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                History
                Funding
                Funded by: National Cancer Institute : NCI
                Award ID: U01 CA111275-08 || CA
                Funded by: National Cancer Institute : NCI
                Award ID: P50 CA069568-14 || CA
                Funded by: Howard Hughes Medical Institute :
                Award ID: || HHMI_
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