Publications (28) View all
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Article: Transcript Levels of Androgen Receptor Variant AR-V1 or AR-V7 Do Not Predict Recurrence in Patients with Prostate Cancer at Indeterminate Risk for Progression.
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ABSTRACT: PURPOSE: AR-V7, a ligand independent splice variant of androgen receptor, may support the growth of castration resistant prostate cancer and have prognostic value. Another variant, AR-V1, interferes with AR-V7 activity. We investigated whether AR-V7 or V1 expression would predict biochemical recurrence in men at indeterminate (about 50%) risk for progression following radical prostatectomy. MATERIALS AND METHODS: AR-V7 and V1 transcripts in a mixed grade cohort of 53 men in whom cancer contained 30% to 70% Gleason grade 4/5 and in a grade 3 only cohort of 52 were measured using a branched chain DNA assay. Spearman rank correlations of the transcripts, and histomorphological and clinical variables were determined. AR-V7 and V1 levels were assessed as determinants of recurrence in the mixed grade cohort by logistic regression and survival analysis. The impact of TMPRSS2-ERG gene fusion on prognosis was also evaluated. RESULTS: Neither AR-V7 nor V1 levels in grade 3 or 4/5 cancer in the mixed grade cohort were associated with recurrence or time to recurrence. However, AR-V7 and V1 inversely correlated with serum prostate specific antigen and positively correlated with age. The AR-V1 level in grade 3 cancer in the grade 3 only cohort was higher than in grade 3 or grade 4/5 components of mixed grade cancer. TMPRSS2-ERG fusion was not associated with AR-V7, AR-V1 or recurrence but it was associated with the percent of grade 4/5 cancer. CONCLUSIONS: The AR-V1 or V7 transcript level does not predict recurrence in patients with high grade prostate cancer at indeterminate risk for progression. Grade 3 cancer in mixed grade tumors may differ from 100% grade 3 cancer, at least in AR-V1 expression.The Journal of urology 10/2012; · 4.02 Impact Factor -
Article: Darinaparsin: solid tumor hypoxic cytotoxin and radiosensitizer.
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ABSTRACT: Hypoxia is an important characteristic of the solid tumor microenvironment and constitutes a barrier for effective radiotherapy. Here, we studied the effects of darinaparsin (an arsenic cytotoxin) on survival and radiosensitivity of tumor cells in vitro under normoxia and hypoxia and in vivo using xenograft models, compared to effects on normal tissues. The cytotoxicity and radiosensitization of darinaparsin were first tested in vitro in a variety of solid tumor cell lines under both normoxia and hypoxia and compared with arsenic trioxide (ATO, an arsenical with reported cytotoxic and radiosensitizing activities on tumor cells). The effects were then tested in mouse models of xenograft tumors derived from tumor cell lines and clinical tumor specimens. The potential mechanisms of darinaparsin effects, including reactive oxygen species (ROS) generation, cellular damage, and changes in global gene expression, were also investigated. In comparison with ATO, darinaparsin had significantly higher in vitro cytotoxic and radiosensitizing activities against solid tumor cells under both normoxia and hypoxia. In vivo experiments confirmed these activities at doses that had no systemic toxicities. Importantly, darinaparsin did not radiosensitize normal bone marrow and actually radioprotected normal intestinal crypts. The darinaparsin-mediated antitumor effects under hypoxia were not dependent on ROS generation and oxidative damage, but were associated with inhibition of oncogene (RAS and MYC)-dependent gene expression. Darinaparsin has significant and preferential cytotoxic and radiosensitizing effects on solid tumors as compared with normal cells. Darinaparsin may therefore increase the therapeutic index of radiation therapy and has near term translational potential.Clinical Cancer Research 04/2012; 18(12):3366-76. · 7.74 Impact Factor -
Article: Tissue slice grafts: an in vivo model of human prostate androgen signaling.
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ABSTRACT: We developed a tissue slice graft (TSG) model by implanting thin, precision-cut tissue slices derived from fresh primary prostatic adenocarcinomas under the renal capsule of immunodeficient mice. This new in vivo model not only allows analysis of approximately all of the cell types present in prostate cancer within an intact tissue microenvironment, but also provides a more accurate assessment of the effects of interventions when tissues from the same specimen with similar cell composition and histology are used as control and experimental samples. The thinness of the slices ensures that sufficient samples can be obtained for large experiments as well as permits optimal exchange of nutrients, oxygen, and drugs between the grafted tissue and the host. Both benign and cancer tissues displayed characteristic histology and expression of cell-type specific markers for up to 3 months. Moreover, androgen-regulated protein expression diminished in TSGs after androgen ablation of the host and was restored after androgen repletion. Finally, many normal secretory epithelial cells and cancer cells in TSGs remained viable 2 months after androgen ablation, consistent with similar observations in postprostatectomy specimens following neoadjuvant androgen ablation. Among these were putative Nkx3.1(+) stem cells. Our novel TSG model has the appropriate characteristics to serve as a useful tool to model all stages of disease, including normal tissue, premalignant lesions, well-differentiated cancer, and poorly differentiated cancer.American Journal Of Pathology 07/2010; 177(1):229-39. · 4.89 Impact Factor -
Article: Targeting monoamine oxidase A in advanced prostate cancer.
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ABSTRACT: Inhibitors of monoamine oxidase A (MAOA), a mitochondrial enzyme that degrades neurotransmitters including serotonin and norepinephrine, are commonly used to treat neurological conditions including depression. Recently, we and others identified high expression of MAOA in normal basal prostatic epithelium and high-grade primary prostate cancer (PCa). In contrast, MAOA is low in normal secretory prostatic epithelium and low-grade PCa. An irreversible inhibitor of MAOA, clorgyline, induced secretory differentiation in primary cultures of normal basal epithelial cells and high-grade PCa. Furthermore, clorgyline inhibited several oncogenic pathways in PCa cells, suggesting clinical value of MAOA inhibitors as a pro-differentiation and anti-oncogenic therapy for high-risk PCa. Here, we extended our studies to a model of advanced PCa, VCaP cells, which were derived from castration-resistant metastatic PCa and express a high level of MAOA. Growth of VCaP cells in the presence or absence of clorgyline was evaluated in vitro and in vivo. Gene expression changes in response to clorgyline were determined by microarray and validated by quantitative real-time polymerase chain reaction. Treatment with clorgyline in vitro inhibited growth and altered the transcriptional pattern of VCaP cells in a manner consistent with the pro-differentiation and anti-oncogenic effects seen in treated primary PCa cells. Src, beta-catenin, and MAPK oncogenic pathways, implicated in androgen-independent growth and metastasis, were significantly downregulated. Clorgyline treatment of mice bearing VCaP xenografts slowed tumor growth and induced transcriptome changes similar to those noted in vitro. Our results support the possibility that anti-depressant drugs that target MAOA might find a new application in treating PCa.Journal of Cancer Research and Clinical Oncology 03/2010; 136(11):1761-71. · 2.56 Impact Factor -
Article: Molecular Stratification of Clear Cell Renal Cell Carcinoma by Consensus Clustering Reveals Distinct Subtypes and Survival Patterns.
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ABSTRACT: Clear cell renal cell carcinoma (ccRCC) is the predominant RCC subtype, but even within this classification, the natural history is heterogeneous and difficult to predict. A sophisticated understanding of the molecular features most discriminatory for the underlying tumor heterogeneity should be predicated on identifiable and biologically meaningful patterns of gene expression. Gene expression microarray data were analyzed using software that implements iterative unsupervised consensus clustering algorithms to identify the optimal molecular subclasses, without clinical or other classifying information. ConsensusCluster analysis identified two distinct subtypes of ccRCC within the training set, designated clear cell type A (ccA) and B (ccB). Based on the core tumors, or most well-defined arrays, in each subtype, logical analysis of data (LAD) defined a small, highly predictive gene set that could then be used to classify additional tumors individually. The subclasses were corroborated in a validation data set of 177 tumors and analyzed for clinical outcome. Based on individual tumor assignment, tumors designated ccA have markedly improved disease-specific survival compared to ccB (median survival of 8.6 vs 2.0 years, P = 0.002). Analyzed by both univariate and multivariate analysis, the classification schema was independently associated with survival. Using patterns of gene expression based on a defined gene set, ccRCC was classified into two robust subclasses based on inherent molecular features that ultimately correspond to marked differences in clinical outcome. This classification schema thus provides a molecular stratification applicable to individual tumors that has implications to influence treatment decisions, define biological mechanisms involved in ccRCC tumor progression, and direct future drug discovery.Genes & cancer 02/2010; 1(2):152-163.
