Syed Shaheduzzaman

Frequent overexpression of ETS-related gene-1 (ERG1) in prostate cancer transcriptome.

Transcription factors encoded by the ETS family of genes are central in integrating signals that regulate cell growth and differentiation, stress responses, and tumorigenesis. This study, analysing laser microdissected paired benign and malignant prostate epithelial cells from prostate cancer (CaP) patients (n=114; 228 specimen) by GeneChip and quantitative real-time RT–PCR, identifies ETS-related gene (ERG), a member of the ETS transcription factor family, as the most frequently overexpressed proto-oncogene in the transcriptome of malignant prostate epithelial cells. Combined quantitative expression analysis of ERG with two other genes commonly overexpressed in CaP, AMACR and DD3, revealed overexpression of at least one of these three genes in virtually all CaP specimen (54 of 55). Comprehensive evaluation of quantitative ERG1 expression with clinicopathological features also suggested that ERG1 expression level in prostate tumor cells relative to benign epithelial cells is indicator of disease-free survival after radical prostatectomy.

ERG oncogene modulates prostaglandin signaling in prostate cancer cells

Androgen dependent induction of the ETS related gene (ERG) expression in more than half of all prostate cancers results from gene fusions involving regulatory sequence of androgen regulated genes (i.e. TMPRSS2, SLC45A3 and NDRG1) and protein coding sequence of the ERG. Emerging studies in experimental models underscore the functions of ERG in prostate tumorigenesis. However, biological and biochemical functions of ERG in prostate cancer (CaP) remain to be elucidated. This study suggests that ERG activation plays a role in prostaglandin signaling because knockdown of ERG expression in TMPRSS2-ERG fusion containing CaP cells leads to altered levels of the 15-hydroxy-prostaglandin dehydrogenase (HPGD), a tumor suppressor and prostaglandin catabolizing enzyme, and prostaglandin E2 (PGE2) . We demonstrate that HPGD expression is regulated by the binding of the ERG protein to the core promoter of this gene. Moreover, prostaglandin E2 dependent cell growth and urokinase-type plasminogen activator (uPA) expression are also affected by ERG knockdown. Together, these data imply that the ERG oncoprotein in CaP cells positively influence prostaglandin mediated signaling, which may contribute to tumor progression. See commentary: Gene fusions find an ERG-way to tumor inflammation

Silencing of Lactotransferrin expression by methylation in prostate cancer progression.

Background: Cancer cells gain selection advantages by the coordinated silencing of protective and by the activation of cell proliferation/cell survival genes. Evaluations of epithelial cell transcriptome of benign and malignant prostate glands by laser capture microdissection (LCM) identified Lactotransferrin (LTF) as the most significantly downregulated gene in prostate cancer (CaP) cells (P

Transcriptome analyses of benign and malignant prostate epithelial cells in formalin-fixed paraffin-embedded whole-mounted radical prostatectomy specimens

Formalin-fixed paraffin-embedded (FFPE) prostate specimens are rich sources of molecular pathological information. However, FFPE-based microarray analysis of tissue samples may be hampered by the degradation and chemical alteration of RNA molecules due to the preservation procedure. In this report, we employed a probe analyses of Affymetrix oligonucleotide arrays at individual probe level to compensate for the potential loss of gene identifications associated with compromised mRNA quality in FFPE preparations. Furthermore, to increase the sample quality, we utilized laser capture microdissection of prostate tumor and benign epithelial cells. Remarkably, combination of these approaches recapitulated the common prostate cancer-associated gene expression alteration. Identification of prostate cancer associated-gene expression alterations such as AMACR, Kallikrein gene family and genes associated with androgen signaling such as PDEF and STEAP were consistent with previous findings reported in prostate cancer. These data suggest that combination of laser capture dissection with computational enhancement of microarray data may be useful for the assessment of gene expression changes in FFPE prostate cancer specimens.

Androgen responsive and refractory prostate cancer cells exhibit distinct curcumin regulated transcriptome

Curcumin (diferuloylmethane) is the major active component of turmeric and is being actively investigated for its anti-cancer properties. To better understand the biological mechanisms of the chemopreventive potential of curcumin in prostate cancer, we have evaluated curcumin regulated transcriptome in prostate cancer cells. Hierarchical clustering methods and functional classification of the Curcumin-Gene Expression Response (Cu-GER) showed temporal co-regulation of genes involved in oxidative stress response and growth signaling pathways. Interestingly, C4-2B, androgen independent metastatic prostate cancer cells exhibited attenuated Cu-GER response in comparison to parental androgen dependent and less aggressive LNCaP cells. Androgen Receptor (AR) regulated genes which play critical roles in normal growth and differentiation of the prostate gland, as well as in prostate cancer, were also a part of the Cu-GER. Of note curcumin down-regulated transcript encoded by the potentially causal TMPRSS2-ERG gene fusion, a common oncogenic alteration noted in 50-70% of prostate cancer patients. Further more, expression of EGFR and ERBB2 receptor were found to be down-regulated in curcumin treated LNCaP and C4-2B cells. This report for the first time establishes novel features of Cu-GER in prostate cancer cells of varying tumorigenic phenotypes and provides potentially novel read-outs for assessing effectiveness of curcumin in prostate cancer and likely in other cancers. Importantly, new gene-networks identified here further delineate molecular mechanism(s) of action of curcumin in prostate cancer cells.

Higher Expression of the Androgen-Regulated Gene PSA/HK3 mRNA in Prostate Cancer Tissues Predicts Biochemical Recurrence-Free Survival

Purpose: Alterations of the androgen receptor (AR)-mediated signaling through numerous mechanisms are increasingly recognized in prostate cancer (CaP) progression. We hypothesized that the assessment of well-defined AR transcriptional targets (e.g., PSA/HK3 mRNA) in CaP tissues will provide in vivo readout of AR dysfunctions. Moreover, quantitative expression features of PSA/HK3 mRNA in prostate tumor cells may serve as a prognostic indicator of disease progression. Experimental Design: Paired benign and malignant epithelial cells (242 specimens) were obtained from laser capture microdissection of frozen OCT-embedded tissue sections prepared from radical prostatectomy specimens of 121 patients. Quantitative expression of PSA/HK3 mRNA in the matched malignant and benign cells was analyzed by real-time reverse transcription-PCR. Results: CaP cells express significantly lower PSA/HK3 mRNA levels than matched benign cells (P = 0.0133). Moreover, low PSA/HK3 mRNA expression in malignant cells was associated with increased risk of biochemical recurrence (P = 0.0217), as well as with time to recurrence (P = 0.0371), in patients with intermediate preoperative serum prostate-specific antigen levels (2-10 ng/mL). The expression of androgen-dependent genes in clinical samples correlates with each other in patients with higher expression of PSA/HK3 mRNA but not in patients with lower expression of PSA/HK3 mRNA reflecting AR pathway dysfunction. Conclusions: Our study has unraveled a novel prognostic utility of quantitative measurements of PSA/HK3 mRNA reflecting AR transcriptional activity in CaP cells, which is independent of serum prostate-specific antigen. It also has potential in stratifying subsets of patients exhibiting progressive disease associated with dampened AR transcriptional functions who may be targeted by tailored therapeutic strategies.

Osteoblast-specific Factor 2 Expression in Prostate Cancer-associated Stroma: Identification Through Microarray Technology

OBJECTIVES To better understand the gene expression patterns in tumor-associated stroma, laser-capture-microdissections from clinical specimens were analyzed by genome-wide-expression microarray technology. The epithelial-stromal interaction plays a critical role in prostate development, reactive changes, and tumorigenesis. Diverse microarray technologies have been used to characterize the molecular changes in prostate cancer. Even though these gene expression studies are compromised by the heterogeneity of the tumor, as well as by the difficulty associated with collecting appropriate counterparts to represent normal prostate cells, the gene array data from tumors have shown promising results. Currently, little is known about the tumor-associated stromal gene expression profile in prostate cancer. METHODS Matching benign and malignant epithelial cell-related stroma cells were subjected to microarray platforms. RESULTS The prostatatic stroma expressed several osteogenic molecules. In particular, one of the genes, OSF2, was upregulated in tumor-associated stroma compared with benign epithelial cell associated stroma, which was further validated by immunohistochemical examination. CONCLUSIONS These data show that the combination of laser capture dissection with computational enhancement of epithelial and stromal microarray data is a useful tool to assess gene expression changes in prostate cancer stroma.

ANDROGEN RESPONSIVE AND REFRACTORY PROSTATE CANCER CELLS EXHIBIT DISTINCT CURCUMIN REGULATED TRANSCRIPTOME

Curcumin (diferuloylmethane) is the major active component of turmeric and is being actively investigated for its anti-cancer properties. To better understand the biological mechanisms of the chemopreventive potential of curcumin in prostate cancer, we have evaluated curcumin regulated transcriptome in prostate cancer cells. Hierarchical clustering methods and functional classification of the Curcumin-Gene Expression Response (Cu-GER) showed temporal co-regulation of genes involved in oxidative stress response and growth signaling pathways. Interestingly, C4-2B, androgen independent metastatic prostate cancer cells exhibited attenuated Cu-GER response in comparison to parental androgen dependent and less aggressive LNCaP cells. Androgen Receptor (AR) regulated genes which play critical roles in normal growth and differentiation of the prostate gland, as well as in prostate cancer, were also a part of the Cu-GER. Of note, curcumin downregulated transcript encoded by the potentially causal TMPRSS2-ERG gene fusion, a common oncogenic alteration noted in 50-70% of prostate cancer patients. Further more, expression of EGFR and ERBB2 receptor were found to be downregulated in curcumin treated LNCaP and C4-2B cells. This report for the first time establishes novel features of Cu-GER in prostate cancer cells of varying tumorigenic phenotypes and provides potentially novel read-outs for assessing effectiveness of curcumin in prostate cancer and likely in other cancers. Importantly, new gene-networks identified here further delineate molecular mechanism(s) of action of curcumin in prostate cancer cells.

ERG Expression Levels in Prostate Tumors Reflect Functional Status of the Androgen Receptor (AR) as a Consequence of Fusion of ERG with AR Regulated Gene Promoters

Expression of the ERG proto-oncogene, is activated in 50-70% of prostate tumors by androgen receptor (AR) mediated signals due to the fusion of AR regulated promoters (primarily TMPRSS2 and to a lesser extent SLC45A3 and NDRG1) to the ERG protein coding sequence. Our previous studies of quantitative expression levels of ERG or TMPRSS2-ERG fusion transcripts have noted that relatively low or no ERG expression in prostate tumors significantly associated with progressive disease. Here, we have tested the hypothesis that ERG expression levels in prostate tumor cells reflect AR transcriptional regulatory function in a given biological context of the tumor progression. Therefore, tumors with lower ERG may represent a subset with attenuated AR signaling. Expression of ERG and other AR regulated genes were evaluated in a GeneChip dataset obtained from a panel of laser capture micro-dissected well/moderately differentiated (WD) or poorly differentiated (PD) tumor cells derived from primary tumors of patients, who had no prior androgen ablation treatment. Overall, ERG expression pattern was similar to that of other AR regulated genes. Strikingly low frequency of ERG expression was noted in PD tumor cells (30%) in comparison to WD tumor cells (80%), suggesting for subdued AR function in a significant fraction of tumors with genomic alterations of ERG. By integrating ERG into a panel of defined AR target genes, we developed a cumulative AR Function Index (ARFI), which if validated may have future potential in stratifying patients for targeted therapy on the basis of overall AR functional status in primary tumors.