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      Molecular determinants of resistance to antiandrogen therapy

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          Abstract

          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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          Most cited references36

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          Molecular portraits of human breast tumours.

          Human breast tumours are diverse in their natural history and in their responsiveness to treatments. Variation in transcriptional programs accounts for much of the biological diversity of human cells and tumours. In each cell, signal transduction and regulatory systems transduce information from the cell's identity to its environmental status, thereby controlling the level of expression of every gene in the genome. Here we have characterized variation in gene expression patterns in a set of 65 surgical specimens of human breast tumours from 42 different individuals, using complementary DNA microarrays representing 8,102 human genes. These patterns provided a distinctive molecular portrait of each tumour. Twenty of the tumours were sampled twice, before and after a 16-week course of doxorubicin chemotherapy, and two tumours were paired with a lymph node metastasis from the same patient. Gene expression patterns in two tumour samples from the same individual were almost always more similar to each other than either was to any other sample. Sets of co-expressed genes were identified for which variation in messenger RNA levels could be related to specific features of physiological variation. The tumours could be classified into subtypes distinguished by pervasive differences in their gene expression patterns.
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            Prostate-specific deletion of the murine Pten tumor suppressor gene leads to metastatic prostate cancer.

            The murine Pten prostate cancer model described in this study recapitulates the disease progression seen in humans: initiation of prostate cancer with prostatic intraepithelial neoplasia (PIN), followed by progression to invasive adenocarcinoma, and subsequent metastasis with defined kinetics. Furthermore, while Pten null prostate cancers regress after androgen ablation, they are capable of proliferating in the absence of androgen. Global assessment of molecular changes caused by homozygous Pten deletion identified key genes known to be relevant to human prostate cancer, including those "signature" genes associated with human cancer metastasis. This murine prostate cancer model provides a unique tool for both exploring the molecular mechanism underlying prostate cancer and for development of new targeted therapies.
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              Myc-driven murine prostate cancer shares molecular features with human prostate tumors.

              Increased Myc gene copy number is observed in human prostate cancer. To define Myc's functional role, we generated transgenic mice expressing human c-Myc in the mouse prostate. All mice developed murine prostatic intraepithelial neoplasia followed by invasive adenocarcinoma. Microarray-based expression profiling identified a Myc prostate cancer expression signature, which included the putative human tumor suppressor NXK3.1. Human prostate tumor databases revealed modules of human genes that varied in concert with the Myc prostate cancer signature. This module includes the Pim-1 kinase, a gene known to cooperate with Myc in tumorigenesis, and defines a subset of human, "Myc-like" human cancers. This approach illustrates how genomic technologies can be applied to mouse cancer models to guide evaluation of human tumor databases.
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                Author and article information

                Journal
                Nature Medicine
                Nat Med
                Springer Science and Business Media LLC
                1078-8956
                1546-170X
                January 2004
                December 21 2003
                January 2004
                : 10
                : 1
                : 33-39
                Article
                10.1038/nm972
                14702632
                5043619f-6067-4539-8d1c-814c5a3b2498
                © 2004

                http://www.springer.com/tdm

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