PRAC: A novel small nuclear protein that is specifically expressed in human prostate and colon

Human iPSC colon organoid function is improved by exposure to fecal fermentates

The host-microbe interaction is critical for intestinal homeostasis. By-products from microbial metabolism of unabsorbed dietary components have been studied increasingly as potential contributors to health and disease. In vitro fermentation systems provide a way to simulate microbial activity and by-product production of the colon using human fecal samples. Objectives of the study were to determine how clarified supernatants from two different fermentation conditions affect markers of cell proliferation, differentiation, barrier function, and immune function in a human-induced pluripotent (iPSC) colon organoid model. SCFA and BCFA's of the supernatants were analyzed and were similar to known in vivo concentrations. Molecular results showed 25% of the clarified supernatant from batch fermentation led to a more physiological intestinal phenotype including increased markers of differentiation, including alkaline phosphatase, chromogranin A, SCFA transport monocarboxylate transporter-1, (6.2-fold, 2.1-fold, and 1.8-fold, respectively; p < 0.05). Mucin production (mucin-2, mucin-4) was increased in cells treated with 25% supernatant, as observed by confocal microscopy. In addition, increased tight junction expression (claudin-3) was noted by immunofluorescence in 25% supernatant- treated cells. A dose-response increase in barrier function was observed over the 72-h time course, with a twofold increase in transepithelial electrical resistance (TER) in the 25% group compared to the control group (p < 0.05). To further investigate host effects, clarified supernatants from a continuous multistage fermentation representing the ascending (AC), transverse (TC), and descending (DC) colonic domains were utilized and some regional differences were observed including increased markers of inflammation (IL-1β, 6.15 pg/ml; IL-6, 27.58 pg/ml; TNFα, 4.49 pg/ml; p < 0.05) in DC-treated samples only. Overall, clarified supernatants represent a valuable model to examine effects of microbial by-products on host intestinal development and function and future efforts will be designed to further understand microbial communities and metabolites, along with additional host response measures.

Early Pregnancy Exposure to Ambient Air Pollution among Late-Onset Preeclamptic Cases Is Associated with Placental DNA Hypomethylation of Specific Genes and Slower Placental Maturation

Exposure to ambient air pollution during pregnancy has been associated with an increased risk of preeclampsia (PE). Some suggested mechanisms behind this association are changes in placental DNA methylation and gene expression. The objective of this study was to identify how early pregnancy exposure to ambient nitrogen oxides (NO_x) among PE cases and normotensive controls influence DNA methylation (EPIC array) and gene expression (RNA-seq). The study included placentas from 111 women (29 PE cases/82 controls) in Scania, Sweden. First-trimester NO_x exposure was assessed at the participants’ residence using a dispersion model and categorized via median split into high or low NO_x. Placental gestational epigenetic age was derived from the DNA methylation data. We identified six differentially methylated positions (DMPs, q < 0.05) comparing controls with low NO_x vs. cases with high NO_x and 14 DMPs comparing cases and controls with high NO_x. Placentas with female fetuses showed more DMPs (N = 309) than male-derived placentas (N = 1). Placentas from PE cases with high NO_x demonstrated gestational age deceleration compared to controls with low NO_x (p = 0.034). No differentially expressed genes (DEGs, q < 0.05) were found. In conclusion, early pregnancy exposure to NO_x affected placental DNA methylation in PE, resulting in placental immaturity and showing sexual dimorphism.

Discovering the molecular differences between right- and left-sided colon cancer using machine learning methods

Background

In recent years, the differences between left-sided colon cancer (LCC) and right-sided colon cancer (RCC) have received increasing attention due to the clinicopathological variation between them. However, some of these differences have remained unclear and conflicting results have been reported.

Methods

From The Cancer Genome Atlas (TCGA), we obtained RNA sequencing data and gene mutation data on 323 and 283 colon cancer patients, respectively. Differential analysis was firstly done on gene expression data and mutation data between LCC and RCC, separately. Machine learning (ML) methods were then used to select key genes or mutations as features to construct models to classify LCC and RCC patients. Finally, we conducted correlation analysis to identify the correlations between differentially expressed genes (DEGs) and mutations using logistic regression (LR) models.

Results

We found distinct gene mutation and expression patterns between LCC and RCC patients and further selected the 30 most important mutations and 17 most important gene expression features using ML methods. The classification models created using these features classified LCC and RCC patients with high accuracy (areas under the curve (AUC) of 0.8 and 0.96 for mutation and gene expression data, respectively). The expression of PRAC1 and BRAF V600E mutation (rs113488022) were the most important feature for each model. Correlations of mutations and gene expression data were also identified using LR models. Among them, rs113488022 was found to have significance relevance to the expression of four genes, and thus should be focused on in further study.

Conclusions

On the basis of ML methods, we found some key molecular differences between LCC and RCC, which could differentiate these two groups of patients with high accuracy. These differences might be key factors behind the variation in clinical features between LCC and RCC and thus help to improve treatment, such as determining the appropriate therapy for patients.

A novel method for detection of exfoliated prostate cancer cells in urine by RNA in situ hybridization

BACKGROUND

In the current study, we explore the feasibility of detecting exfoliated prostate cancer cells in urine using an RNA in situ hybridization (RISH) assay. We hypothesized that robust and specific labeling of prostate cancer cells could be achieved in post-digital rectal examination (DRE) urine samples using RISH.

METHODS

We focused on method development, optimization, and analytical evaluation of RISH-based detection of prostate cancer in urine. We optimized a sample collection, processing, and target detection workflow for urine cytology specimens in conjunction with RNA target detection by RISH. We screened a panel of 11 prostate-specific RNA targets, and selected NKX3-1 and PRAC1 as markers for cells of prostate origin and PCA3 as a marker of prostate malignancy. Following analytical validation of a multiplexed NKX3-1/PRAC1/PCA3 assay, we evaluated whether prostate cancer cells can be detected in a pilot cohort of 19 post-DRE specimens obtained from men diagnosed with prostate cancer.

RESULTS

Using cytology specimens prepared from spiked urine samples, we established the analytical validity of the RISH assay for detection and visualization of prostate cells in urine. Cells of prostate origin could be readily and specifically identified and separated into benign and malignant cell populations based on the multiplex test that consisted of markers specific for prostate cells (NKX3-1, PRAC1) and prostate cancer cells (PCA3). Upon evaluation of post-DRE urine from a pilot cohort of prostate cancer patients, we identified 11 samples in which prostate cells were present, 6 of which were also positive for prostate cancer cells.

CONCLUSIONS

Multiplex RISH enables the direct visualization and molecular characterization of individual exfoliated prostate cells in urine. This proof-of-principle study provides evidence supporting the application of RISH as a potential noninvasive tool for prostate cancer detection.

Right and left-sided colon cancers - specificity of molecular mechanisms in tumorigenesis and progression

Background

Given the differences in embryonic origin, vascular and nervous supplies, microbiotic burden, and main physiological functions of left and right colons, tumor location is increasingly suggested to dictate tumor behavior affecting pathology, progression and prognosis. Right-sided colon cancers arise in the cecum, ascending colon, hepatic flexure and/or transverse colon, while left-sided colon cancers arise in the splenic flexure, descending, and/or sigmoid colon. In contrast to prior reports, we attempt to delineate programs of tumorigenesis independently for each side.

Methods

Four hundred and eleven samples were extracted from The Cancer Genome Atlas-COAD cohort, based on a conservative sample inclusion criterion. Each side was independently analyzed with respect to their respective normal tissue, at the level of transcription, post-transcription, miRNA control and methylation in both a stage specific and stage-agnostic manner.

Results

Our results indicate a suppression of enzymes involved in various stages of carcinogen breakdown including CYP2C8, CYP4F12, GSTA1, and UGT1A within right colon tumors. This implies its reduced capacity to detoxify carcinogens, contributing to a genotoxic tumor environment, and subsequently a more aggressive phenotype. Additionally, we highlight a crucial nexus between calcium homeostasis (sensing, mobilization and absorption) and immune/GPCR signaling within left-sided tumors, possibly contributing to its reduced proliferative and metastatic potential. Interestingly, two genes SLC6A4 and HOXB13 show opposing regulatory trends within right and left tumors. Post-transcriptional regulation mediated by both RNA-binding proteins (e.g. NKRF (in left) and MSI2 (in right)) and miRNAs (e.g. miR-29a (in left); miR-155, miR181-d, miR-576 and miR23a (in right)) appear to exhibit side-specificity in control of their target transcripts and is pronounced in right colon tumors. Additionally, methylation results depict location-specific differences, with increased hypomethylation in open seas within left tumors, and increased hypermethylation of CpG islands within right tumors.

Conclusions

Differences in molecular mechanisms captured here highlight distinctions in tumorigenesis and progression between left and right colon tumors, which will serve as the basis for future studies, influencing the efficacies of existing and future diagnostic, prognostic and therapeutic interventions.

Paralogous HOX13 Genes in Human Cancers

Hox genes (HOX in humans), an evolutionary preserved gene family, are key determinants of embryonic development and cell memory gene program. Hox genes are organized in four clusters on four chromosomal loci aligned in 13 paralogous groups based on sequence homology (Hox gene network). During development Hox genes are transcribed, according to the rule of “spatio-temporal collinearity”, with early regulators of anterior body regions located at the 3’ end of each Hox cluster and the later regulators of posterior body regions placed at the distal 5’ end. The onset of 3’ Hox gene activation is determined by Wingless-type MMTV integration site family (Wnt) signaling, whereas 5’ Hox activation is due to paralogous group 13 genes, which act as posterior-inhibitors of more anterior Hox proteins (posterior prevalence). Deregulation of HOX genes is associated with developmental abnormalities and different human diseases. Paralogous HOX13 genes (HOX A13, HOX B13, HOX C13 and HOX D13) also play a relevant role in tumor development and progression. In this review, we will discuss the role of paralogous HOX13 genes regarding their regulatory mechanisms during carcinogenesis and tumor progression and their use as biomarkers for cancer diagnosis and treatment.

Tumor cell heterogeneity and resistance; report from the 2018 Coffey-Holden Prostate Cancer Academy Meeting

INTRODUCTION

The 2018 Coffey-Holden Prostate Cancer Academy (CHPCA) Meeting, "Tumor Cell Heterogeneity and Resistance," was held in Los Angeles, California from June 21 to 24, 2018.

METHODS

The CHPCA Meeting is a unique, discussion-oriented scientific conference convened annually by the Prostate Cancer Foundation (PCF), which focuses on the most critical topics in need of further study to advance the treatment of lethal prostate cancer. The 6th Annual CHPCA Meeting was attended by 70 investigators and concentrated on prostate cancer heterogeneity and treatment resistance.

RESULTS

The meeting focused on topics including: recognition of tumor heterogeneity, molecular drivers of heterogeneity, the role of the tumor microenvironment, the role of heterogeneity in disease progression, metastasis and treatment resistance, clinical trials designed to target resistance and tumor heterogeneity, and immunotherapeutic approaches to target and overcome tumor heterogeneity.

DISCUSSION

This review article summarizes the presentations and discussions from the 2018 CHPCA Meeting in order to share this knowledge with the scientific community and encourage new studies that will lead to improved treatments and outcomes for men with prostate cancer.

Long noncoding RNA HOXB13-AS1 regulates HOXB13 gene methylation by interacting with EZH2 in glioma

Dysregulation of long noncoding RNAs (lncRNAs) has been implicated in human diseases, in particular, cancers. In this study, we determined the expression of an lncRNA, HOXB13‐AS1, involving in glioma. We showed that HOXB13‐AS1 was significantly upregulated in glioma tissues and cells and was negatively correlated with its surrounding gene HOXB13 levels. Functional experiments in vitro and in vivo revealed that high level of HOXB13‐AS1 increased cell proliferation and tumor growth by promoting cell cycle progression. Conversely, knockdown of HOXB13‐AS1 resulted in decreased cell proliferation and tumor growth. Mechanistically, we showed that HOXB13‐AS1 overexpression increased DNMT3B‐mediated methylation of adjacent gene HOXB13 promoter by binding with the enhancer of zeste homolog 2 (EZH2) using bisulfite sequencing PCR (BSP), epigenetically suppressing HOXB13 expression. Additionally, the interaction between HOXB13‐AS1 and HOXB13 was validated by RNA immunoprecipitation (RIP) and chromatin immunoprecipitation (ChIP) assays using antibody against to EZH2. Taken together, our study indicated that HOXB13‐AS1 could regulate HOXB13 gene expression by methylation HOXB13 promoter and acts as an epigenetic oncogenic in glioma.

Calcitriol Supplementation Causes Decreases in Tumorigenic Proteins and Different Proteomic and Metabolomic Signatures in Right versus Left-Sided Colon Cancer

Vitamin D deficiency is a common problem worldwide. In particular, it is an issue in the Northern Hemisphere where UVB radiation does not penetrate the atmosphere as readily. There is a correlation between vitamin D deficiency and colorectal cancer incidence and mortality. Furthermore, there is strong evidence that cancer of the ascending (right side) colon is different from cancer of the descending (left side) colon in terms of prognosis, tumor differentiation, and polyp type, as well as at the molecular level. Right-side tumors have elevated Wnt signaling and are more likely to relapse, whereas left-side tumors have reduced expression of tumor suppressor genes. This study seeks to understand both the proteomic and metabolomic changes resulting from treatment of the active metabolite of vitamin D, calcitriol, in right-sided and left-sided colon cancer. Our results show that left-sided colon cancer treated with calcitriol has a substantially greater number of changes in both the proteome and the metabolome than right-sided colon cancer. We found that calcitriol treatment in both right-sided and left-sided colon cancer causes a downregulation of ribosomal protein L37 and protein S100A10. Both of these proteins are heavily involved in tumorigenesis, suggesting a possible mechanism for the correlation between low vitamin D levels and colon cancer.

Multi-omics Approach Reveals Distinct Differences in Left- and Right-Sided Colon Cancer

Increasing evidence suggests that left-sided colon cancer (LCC) and right-sided colon cancer (RCC) are emerging as two different colorectal cancer types with distinct clinical characteristics. However, the discrepancy in the underlying molecular event between these types of cancer has not been thoroughly elucidated to date and warrants comprehensive investigation. To this end, an integrated dataset from The Cancer Genome Atlas was used to compare and contrast LCC and RCC, covering mutation, DNA methylation, gene expression, and miRNA. Briefly, the signaling pathway cross-talk is more prevalent in RCC than LCC, such as RCC-specific PI3K pathway, which often exhibits cross-talk with the RAS and P53 pathways. Meanwhile, methylation signatures revealed that RCC was hypermethylated relative to LCC. In addition, differentially expressed genes (n = 253) and differentially expressed miRNAs (n = 16) were determined between LCC and RCC. Especially for Prostate Cancer Susceptibility Candidate 1 (PRAC1), a gene that was closely associated with hypermethylation, was the top significantly downregulated gene in RCC. Multi-omics comparison of LCC and RCC suggests that there are more aggressive markers in RCC and that tumor heterogeneity occurs within the location-based subtypes of colon cancer. These results clarify the debate regarding the conflicting prognosis between LCC and RCC, as proposed by different studies.Implications: The underlying molecular features present in LCC and RCC identified in this study are beneficial for adopting reasonable therapeutic approaches to prolong overall survival and progression-free survival in colorectal cancer patients. Mol Cancer Res; 16(3); 476-85. ©2017 AACR.

Inflammation-associated DNA methylation patterns in epithelium of ulcerative colitis

Aberrant DNA methylation patterns have been reported in inflamed tissues and may play a role in disease. We studied DNA methylation and gene expression profiles of purified intestinal epithelial cells from ulcerative colitis patients, comparing inflamed and non-inflamed areas of the colon. We identified 577 differentially methylated sites (false discovery rate <0.2) mapping to 210 genes. From gene expression data from the same epithelial cells, we identified 62 differentially expressed genes with increased expression in the presence of inflammation at prostate cancer susceptibility genes PRAC1 and PRAC2. Four genes showed inverse correlation between methylation and gene expression; ROR1, GXYLT2, FOXA2, and, notably, RARB, a gene previously identified as a tumor suppressor in colorectal adenocarcinoma as well as breast, lung and prostate cancer. We highlight targeted and specific patterns of DNA methylation and gene expression in epithelial cells from inflamed colon, while challenging the importance of epithelial cells in the pathogenesis of chronic inflammation.

Modeling the Attractor Landscape of Disease Progression: a Network-Based Approach

Genome-wide regulatory networks enable cells to function, develop, and survive. Perturbation of these networks can lead to appearance of a disease phenotype. Inspired by Conrad Waddington's epigenetic landscape of cell development, we use a Hopfield network formalism to construct an attractor landscape model of disease progression based on protein- or gene-correlation networks of Parkinson's disease, glioma, and colorectal cancer. Attractors in this landscape correspond to normal and disease states of the cell. We introduce approaches to estimate the size and robustness of these attractors, and take a network-based approach to study their biological features such as the key genes and their functions associated with the attractors. Our results show that the attractor of cancer cells is wider than the attractor of normal cells, suggesting a heterogeneous nature of cancer. Perturbation analysis shows that robustness depends on characteristics of the input data (number of samples per time-point, and the fraction which converge to an attractor). We identify unique gene interactions at each stage, which reflect the temporal rewiring of the gene regulatory network (GRN) with disease progression. Our model of the attractor landscape, constructed from large-scale gene expression profiles of individual patients, captures snapshots of disease progression and identifies gene interactions specific to different stages, opening the way for development of stage-specific therapeutic strategies.

Clinical Implications and Prognostic Values of Prostate Cancer Susceptibility Candidate Methylation in Primary Nonmuscle Invasive Bladder Cancer

DNA methylation is the most common and well-characterized epigenetic change in human cancer. Recently, an association between prostate cancer susceptibility candidate (PRAC) methylation and genitourinary cancer was proposed. The aim of the present study was to evaluate the association between PRAC methylation status and clinicopathological parameters and prognosis in long-term follow-up primary nonmuscle invasive bladder cancer (NMIBC). The clinical relevance of PRAC methylation was determined in 136 human bladder specimens (eight normal controls [NCs] and 128 primary NMIBCs) using quantitative pyrosequencing analysis. PRAC methylation was significantly higher in NMIBC patients than in NCs and was significantly associated with higher grade and more advanced stage of cancer. Kaplan-Meier estimates revealed significant difference in tumor recurrence and progression according to PRAC methylation status (both p < 0.05). Multivariate Cox regression analysis revealed that the PRAC methylation status was a strong predictor of recurrence (hazard ratio [HR], 2.652; p = 0.012) and progression (HR, 9.531; p = 0.035) of NMIBC. Enhanced methylation status of PRAC was positively associated with a high rate of recurrence and progression in NMIBC patients, suggesting that PRAC methylation may be a promising prognostic marker of NMIBC.

RNA-Seq accurately identifies cancer biomarker signatures to distinguish tissue of origin

Metastatic cancer of unknown primary (CUP) accounts for up to 5% of all new cancer cases, with a 5-year survival rate of only 10%. Accurate identification of tissue of origin would allow for directed, personalized therapies to improve clinical outcomes. Our objective was to use transcriptome sequencing (RNA-Seq) to identify lineage-specific biomarker signatures for the cancer types that most commonly metastasize as CUP (colorectum, kidney, liver, lung, ovary, pancreas, prostate, and stomach). RNA-Seq data of 17,471 transcripts from a total of 3,244 cancer samples across 26 different tissue types were compiled from in-house sequencing data and publically available International Cancer Genome Consortium and The Cancer Genome Atlas datasets. Robust cancer biomarker signatures were extracted using a 10-fold cross-validation method of log transformation, quantile normalization, transcript ranking by area under the receiver operating characteristic curve, and stepwise logistic regression. The entire algorithm was then repeated with a new set of randomly generated training and test sets, yielding highly concordant biomarker signatures. External validation of the cancer-specific signatures yielded high sensitivity (92.0% ± 3.15%; mean ± standard deviation) and specificity (97.7% ± 2.99%) for each cancer biomarker signature. The overall performance of this RNA-Seq biomarker-generating algorithm yielded an accuracy of 90.5%. In conclusion, we demonstrate a computational model for producing highly sensitive and specific cancer biomarker signatures from RNA-Seq data, generating signatures for the top eight cancer types responsible for CUP to accurately identify tumor origin.

Aberrant expression of the PRAC gene in prostate cancer

Identification of aberrant expression patterns of genes in prostate cancer (PCa) is a key step towards the development of effective therapies. Prostate-specific antigen (PSA) levels are commonly measured for the early detection of PCa, but which itself is still not an ideal biomarker. We analysed the expression patterns of prostate cancer susceptibility candidate (PRAC) in prostate cancer. The PRAC gene is known to be commonly expressed in prostate tissue, rectum and colon. To provide clear insights into the expression patterns of PRAC in PCa, we examined the gene expression by quantitative real-time PCR (qRT-PCR), western blot analysis and immunohistochemistry (IHC). The results showed that PRAC expression levels in androgen‑insensitive cells (DU145 and PC3) are lower than those in androgen-sensitive cell lines (LNCaP, LNCaP-R and CW22R). However, treatment of the LNCaP cell line with androgen and anti-androgen demonstrated that PRAC is expressed in an androgen-independent manner. Further, PRAC expression was restored upon treatment of DU145 and PC3 cells with the methyltransferase inhibitor, 5-aza-2'-deoxycytidine (5-aza-CdR), which indicates the effect of methylation in the control of PRAC expression. In addition, IHC analysis revealed a significantly decreased immunoreactivity of PRAC protein in PCa tissues compared to benign prostatic hyperplasia (BPH) (p<0.0001). Thus, our findings suggest that the pathogenesis of PCa may be due to the expression levels of PRAC protein, and this protein can serve as a potential biomarker for the management of PCa.

Right-side and left-side colon cancer follow different pathways to relapse

There is growing evidence that cancer of the ascending (right-side) colon is different from cancer of the descending (left-side) colon at the molecular level. Using microarray data from 102 right-side colon carcinomas and 95 left-side colon carcinomas we show that different pathways dominate progression to relapse in right-side and left-side colon cancer. Right-side tumors at a high risk for relapse exhibit elevated expression of cell cycle control genes and elevated Wnt signaling. On the other hand, relapse-prone left-side tumors show elevated expression of genes that promote stromal expansion and reduced expression of tumor suppressor genes that initiate Wnt signaling. Single gene prognostic biomarkers are found separately for right-side and left-side disease. In left-side tumors with low expression levels of NADPH oxidase 4 (NOX4) the 5-yr relapse-free survival probability is 0.89 95% CI (0.80-0.99), and in tumors with elevated NOX4 expression the probability is 0.51 95% CI (0.37-0.70). Right-side tumors with elevated expression levels of caudal type homeobox 2 (CDX2) have a 5-yr relapse-free survival probability of 0.88 95% CI (0.80-0.96), and those with low CDX2 expression have a corresponding probability of 0.39 95% CI (0.15-0.78). Both NOX4 and CDX2 are much less prognostic on the opposite sides. This newly identified role of NOX4 in colon cancer is further investigated using the SW620 lymph node metastasis colon adenocarcinoma cell line and RNA interference. We show that NOX4 is expressed in the SW620 cell line and that application of NOX4 siRNA causes a significant reduction in reactive oxidative species production.

Map of differential transcript expression in the normal human large intestine

While there is considerable research related to using differential gene expression to predict disease phenotype classification, e.g., neoplastic tissue from nonneoplastic controls, there is little understanding of the range of expression in normal tissues. Understanding patterns of gene expression in nonneoplastic tissue, including regional anatomic expression changes within an organ, is vital to understanding gene expression changes in diseased tissue. To explore the gene expression change along the proximal-distal axis of the large intestine, we analyzed microarray data in 184 normal human specimens using univariate and multivariate techniques. We found 219 probe sets that were differentially expressed between the proximal and distal colorectal regions and 115 probe sets that were differentially expressed between the terminal segments, i.e., the cecum and rectum. We did not observe any probe sets that were statistically different between any two contiguous colorectal segments. The dominant expression pattern (65 probe sets) follows a dichotomous expression pattern consistent with the midgut-hindgut embryonic origins of the gut while a second pattern (50 probe sets) depicts a gradual change in transcript levels from the cecum to the rectum. While the dichotomous pattern includes roughly equal numbers of probe sets that are elevated proximally and distally, nearly all probe sets that show a gradual change demonstrate increasing expression levels moving from proximal to distal segments. These patterns describe an expression map of individual transcript variation as well as multigene expression patterns along the large intestine. This is the first gene expression map of an entire human organ.

Expression analysis onto microarrays of randomly selected cDNA clones highlights HOXB13 as a marker of human prostate cancer

In a strategy aimed at identifying novel markers of human prostate cancer, we performed expression analysis using microarrays of clones randomly selected from a cDNA library prepared from the LNCaP prostate cancer cell line. Comparisons of expression profiles in primary human prostate cancer, adjacent normal prostate tissue, and a selection of other (nonprostate) normal human tissues, led to the identification of a set of clones that were judged as the best candidate markers of normal and/or malignant prostate tissue. DNA sequencing of the selected clones revealed that they included 10 genes that had previously been established as prostate markers: NKX3.1, KLK2, KLK3 (PSA), FOLH1 (PSMA), STEAP2, PSGR, PRAC, RDH11, Prostein and FASN. Following analysis of the expression patterns of all selected and sequenced genes through interrogation of SAGE databases, a further three genes from our clone set, HOXB13, SPON2 and NCAM2, emerged as additional candidate markers of human prostate cancer. Quantitative RT-PCR demonstrated the specificity of expression of HOXB13 in prostate tissue and revealed its ubiquitous expression in a series of 37 primary prostate cancers and 20 normal prostates. These results demonstrate the utility of this expression-microarray approach in hunting for new markers of individual human cancer types.

Characterization and comparative analyses of transcriptomes from the normal and neoplastic human prostate

BACKGROUND

The prostate gland is a highly specialized organ with functional attributes that serve to enhance the fertility of mammalian species. Pathological processes affecting the prostate include benign prostate hypertrophy and prostate carcinoma; diseases that account for major morbidity and mortality in middle-aged and elderly men. To facilitate studies of biological processes uniquely represented in the prostate and assess molecular alterations associated with prostate carcinoma, we sought to establish the diversity of gene expression in the normal and neoplastic prostate through the compilation and analysis of a prostate transcriptome.

METHODS

We assembled and annotated ESTs derived from prostate cDNA libraries that were either produced in our laboratory or available from public sequence repositories such as CGAP, dbEST, and Unigene. Determinations of differential gene expression between the normal prostate, other normal tissues, and neoplastic prostate tissues was performed using statistical algorithms. Confirmation of differential expression was performed by quantitative PCR and Northern analysis.

RESULTS

A total of 99,448 high-quality ESTs were assembled and annotated to produce a prostate transcriptome comprised of 24,580 distinct TUs. Comparative analyses of gene expression levels identified 61 TUs with exclusive expression in the prostate and 45 TUs with high levels of expression in the prostate relative to at least 25 other normal tissues (P > 0.99). Comparative analyses of ESTs derived from neoplastic prostate tissues identified 75 genes with dysregulated expression in cancer (P > 0.99).

CONCLUSIONS

The human prostate expresses a diverse repertoire of genes that reflect a functionally complex organ. The identification of genes with prostate-restricted or enhanced expression may provide additional insights into the biochemical processes that interact to form the developmental, signaling, and metabolic pathways of the normal and neoplastic gland.

TEPP, a new gene specifically expressed in testis, prostate, and placenta and well conserved in chordates

We have combined computer-based screening and experimental expression analysis to identify genes that are expressed in normal prostate and/or prostate cancer but not in essential human tissues. Using this approach we identified a new gene that is specifically expressed in testis, prostate, and placenta. The gene has one major transcript of 1.0kb in size and encodes for a protein of 30.7kDa molecular weight. We named this gene TEPP (expressed in testis, prostate, and placenta). The amino acid sequence analysis of TEPP using SignalP program shows that it has a signal peptide with a predicted cleavage site between amino acids 19 and 20, indicating that it might be a secreted protein. Analysis of the predicted TEPP orthologs from different species shows that these proteins are highly conserved in chordates. In addition we have identified a splice variant of TEPP, which encodes a 37kDa protein. In conclusion, a combination of bioinformatic and molecular approaches is useful in the identification of genes expressed in specific tissues. Selective expression of TEPP in testis, prostate, and in placenta and its high conservation among different species indicate that TEPP might have a role in reproductive biology.

PRAC2: a new gene expressed in human prostate and prostate cancer

BACKGROUND

The database of human Expressed Sequence Tags was previously used to identify PRAC (Prostate 47:125-131, 2001), a novel gene specifically expressed in human prostate, prostate cancer, rectum, and distal colon. In this report, we have identified PRAC2, another gene with a similar expression pattern that is located adjacent to the original PRAC gene on chromosome 17q21.3.

METHODS

Using a computer-based analysis, a cluster of sequence homologous ESTs was identified that is mainly derived from human prostate cDNA libraries. The tissue specificity was examined by multiple tissue RNA dot blots and RT-PCR. The PRAC2 transcript and protein were identified using Northern blot analysis, RACE-PCR, primer extension, and Western blots.

RESULTS

PRAC2 encodes a 564 nucleotide RNA found in prostate, rectum, distal colon, and testis. Weak expression was also found in placenta, peripheral blood leukocytes, skin, and in two prostate cancer cell lines: LNCaP and PC-3. The transcript seems to encode a 10.5-kDa nuclear protein. The PRAC2 gene is located on chromosome 17 at position 17q21, between the Hoxb-13 gene and the recently discovered PRAC gene.

CONCLUSIONS

Because of the higher expression of PRAC2 in prostate and its proximity to Hoxb-13, PRAC2 may have a function in prostate growth and development.

Cloning, molecular characterization, and expression analysis of Copine 8

Copines are ubiquitously expressed, phospholipid-binding proteins that have been conserved through evolution. In this paper, we report the cloning and molecular characterization of a new member of the Copine family, Copine 8. This gene has been isolated and characterized using a combination of bioinformatic and experimental approaches. Using an algorithm to cluster ESTs (expressed sequence tags) that are available through the public "GoldenPath" database, Copine 8 was initially identified as a gene predominantly expressed in prostate and testis. Cloning and molecular analysis revealed that this gene is expressed in low-levels in most tissues examined. Two different isoforms of this gene have been isolated. Strongest expression of Copine 8 mRNA is seen in the prostate, heart, and brain. Taken together, this data suggest that Copine 8 may have an important role to play in prostate regulation and development.

Identifying immunotherapeutic targets for prostate carcinoma through the analysis of gene expression profiles

Carcinoma of the prostate represents one of the most frequently diagnosed cancers in men. If detected at an early stage, prostate cancer is highly treatable. However, cancers identified at a late stage are rarely cured with contemporary medical therapies. Early detection strategies presently center on the identification of prostate-specific proteins in the serum, and emerging therapeutics have utilized genes and proteins with prostate-restricted expression for tissue-selective immunological regimens incorporating vaccines, dendritic cell therapy, gene therapy, and antibody-based cell targeting. In order to develop improved therapeutic procedures, efforts have been directed toward the identification of genes exhibiting prostate-restricted expression profiles, or altered expression levels in neoplastic cells relative to their normal counterparts. Comprehensive expression profiling approaches such as the analysis of oligonucleotide- or complementary DNA (cDNA)-microarrays have greatly enhanced these efforts. Genes and their cognate proteins identified using such methods offer additional diagnostic and therapeutic targets that may aid in the understanding and treatment of prostate carcinoma.

PATE, a gene expressed in prostate cancer, normal prostate, and testis, identified by a functional genomic approach

To identify target antigens for prostate cancer therapy, we have combined computer-based screening of the human expressed sequence tag database and experimental expression analysis to identify genes that are expressed in normal prostate and prostate cancer but not in essential human tissues. Using this approach, we identified a gene that is expressed specifically in prostate cancer, normal prostate, and testis. The gene has a 1.5-kb transcript that encodes a protein of 14 kDa. We named this gene PATE (expressed in prostate and testis). In situ hybridization shows that PATE mRNA is expressed in the epithelial cells of prostate cancers and in normal prostate. Transfection of the PATE cDNA with a Myc epitope tag into NIH 3T3 cells and subsequent cell fractionation analysis shows that the PATE protein is localized in the membrane fraction of the cell. Analysis of the amino acid sequence of PATE shows that it has structural similarities to a group of proteins known as three-finger toxins, which includes the extracellular domain of the type beta transforming growth factor receptor. Restricted expression of PATE makes it a potential candidate for the immunotherapy of prostate cancer.

Patients with urologic cancer and other nonurologic malignancies: analysis of a sample and review of the literature

OBJECTIVES

To describe our experience with patients with urologic cancers who also have malignancies of nonurologic origin, before, after, or simultaneously, to review the literature, and to suggest treatment options.

METHODS

We reviewed our institutions' tumor registry from 1995 to 2000 to discover how many patients had a urologic malignancy and another nonurologic cancer (antecedent, subsequent, or synchronous). We reviewed Medline from 1966 to 2000 and also questioned several urologists at major centers in the United States concerning this clinical dilemma.

RESULTS

We encountered 18 patients during a 6-year period with a urologic cancer and another primary malignancy. Thirteen patients had their second cancer detected during the workup of their primary urologic tumor. Two patients developed a second tumor within 1 year of treatment of the primary urologic tumor. Another patient was referred with two primaries already diagnosed, and another had renal carcinoma detected during her colon cancer workup. We found that multiple tumors, although very rare, are usually detected during the preoperative workup of the primary tumor, usually by physical examination and improved radiologic imaging, or during the follow-up examinations. Most reports suggest that treatment should be performed simultaneously, especially if the lesions are relatively small and require a single incision, and the patient's medical condition allows longer anesthesia exposure. If these prerequisites are not met, most investigators agree that treatment should be directed at the more aggressive lesion first, which may improve the condition and/or survival, and thus, if a second operation is warranted, it will be possible.

CONCLUSIONS

Although patients with multiple malignancies are rare, the urologist and/or other specialist should be alerted to this possibility when evaluating patients for the initially presenting symptoms and/or detected tumor, as well as during the follow-up evaluations.