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      Divergent clonal evolution of castration resistant neuroendocrine prostate cancer

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          Abstract

          An increasingly recognized resistance mechanism to androgen receptor (AR)-directed therapy in prostate cancer involves epithelial plasticity, wherein tumor cells demonstrate low to absent AR expression and often neuroendocrine features. The etiology and molecular basis for these “alternative” treatment-resistant cell states remain incompletely understood. Here, by analyzing whole exome sequencing data of metastatic biopsies from patients, we observed significant genomic overlap between castration resistant adenocarcinoma (CRPC-Adeno) and neuroendocrine histologies (CRPC-NE); analysis of serial progression samples points to a model most consistent with divergent clonal evolution. Genome-wide DNA methylation revealed marked epigenetic differences between CRPC-NE and CRPC-Adeno that also designated cases of CRPC-Adeno with clinical features of AR-independence as CRPC-NE, suggesting that epigenetic modifiers may play a role in the induction and/or maintenance of this treatment-resistant state. This study supports the emergence of an alternative, “AR-indifferent” cell state through divergent clonal evolution as a mechanism of treatment resistance in advanced prostate cancer.

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          Most cited references41

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          The clonal evolution of tumor cell populations.

          P C Nowell (1976)
          It is proposed that most neoplasms arise from a single cell of origin, and tumor progression results from acquired genetic variability within the original clone allowing sequential selection of more aggressive sublines. Tumor cell populations are apparently more genetically unstable than normal cells, perhaps from activation of specific gene loci in the neoplasm, continued presence of carcinogen, or even nutritional deficiencies within the tumor. The acquired genetic insta0ility and associated selection process, most readily recognized cytogenetically, results in advanced human malignancies being highly individual karyotypically and biologically. Hence, each patient's cancer may require individual specific therapy, and even this may be thwarted by emergence of a genetically variant subline resistant to the treatment. More research should be directed toward understanding and controlling the evolutionary process in tumors before it reaches the late stage usually seen in clinical cancer.
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            Molecular determinants of resistance to antiandrogen therapy.

            Using microarray-based profiling of isogenic prostate cancer xenograft models, we found that a modest increase in androgen receptor mRNA was the only change consistently associated with the development of resistance to antiandrogen therapy. This increase in androgen receptor mRNA and protein was both necessary and sufficient to convert prostate cancer growth from a hormone-sensitive to a hormone-refractory stage, and was dependent on a functional ligand-binding domain. Androgen receptor antagonists showed agonistic activity in cells with increased androgen receptor levels; this antagonist-agonist conversion was associated with alterations in the recruitment of coactivators and corepressors to the promoters of androgen receptor target genes. Increased levels of androgen receptor confer resistance to antiandrogens by amplifying signal output from low levels of residual ligand, and by altering the normal response to antagonists. These findings provide insight toward the design of new antiandrogens.
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              Oncotator: cancer variant annotation tool.

              Oncotator is a tool for annotating genomic point mutations and short nucleotide insertions/deletions (indels) with variant- and gene-centric information relevant to cancer researchers. This information is drawn from 14 different publicly available resources that have been pooled and indexed, and we provide an extensible framework to add additional data sources. Annotations linked to variants range from basic information, such as gene names and functional classification (e.g. missense), to cancer-specific data from resources such as the Catalogue of Somatic Mutations in Cancer (COSMIC), the Cancer Gene Census, and The Cancer Genome Atlas (TCGA). For local use, Oncotator is freely available as a python module hosted on Github (https://github.com/broadinstitute/oncotator). Furthermore, Oncotator is also available as a web service and web application at http://www.broadinstitute.org/oncotator/.
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                Author and article information

                Journal
                9502015
                8791
                Nat Med
                Nat. Med.
                Nature medicine
                1078-8956
                1546-170X
                13 February 2016
                08 February 2016
                March 2016
                08 August 2016
                : 22
                : 3
                : 298-305
                Affiliations
                [1 ] Caryl and Israel Englander Institute for Precision Medicine, New York Presbyterian Hospital-Weill Cornell Medicine. New York, NY
                [2 ] Department of Medicine, Division of Hematology and Medical Oncology, Weill Cornell Medicine. New York, NY
                [3 ] Sandra and Edward Meyer Cancer Center at Weill Cornell Medicine. New York, NY
                [4 ] Centre for Integrative Biology, University of Trento. Trento, Italy
                [5 ] Department of Pathology and Laboratory Medicine. Weill Cornell Medicine. New York, NY
                [6 ] Department of Physiology and Biophysics. Weill Cornell Medicine. New York, NY
                [7 ] Department of Pathology, University of Alabama, Birmingham, AL
                [8 ] Department of Pathology, University of Michigan. Ann Arbor, MI
                [9 ] Department of Medical Oncology, Dana Farber Cancer Institute, Boston, MA
                [10 ] The Broad Institute of MIT and Harvard, Boston, MA
                [11 ]Institute for Computational Biomedicine, Weill Cornell Medicine. New York, NY
                Author notes
                [#]

                co-first authorship

                [*]

                co-senior authorship

                Corresponding Authors: Himisha Beltran, MD, hip9004@ 123456med.cornell.edu , Mark A. Rubin, MD, rubinma@ 123456med.cornell.edu , Francesca Demichelis, PhD, f.demichelis@ 123456unitn.it
                Article
                NIHMS751180
                10.1038/nm.4045
                4777652
                26855148
                9275b28f-9b4b-4d06-8502-5e378437ee02

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                Medicine
                Medicine

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