Dataset Information

Comparative gene expression profiling analysis of urothelial carcinoma of the renal pelvis and bladder.

ABSTRACT: BACKGROUND: Urothelial carcinoma (UC) can arise at any location along the urothelial tract, including the urethra, bladder, ureter, or renal pelvis. Although tumors arising in these various locations have similar morphology, it is unclear whether the gene expression profiles are similar between the upper-tract (ureter and renal pelvis) and lower-tract (bladder and urethra) carcinomas. Because differences may facilitate different screening and treatment modalities, we sought to examine the relationship between urothelial carcinoma of the renal pelvis (rUC) and urothelial carcinoma of the bladder (bUC). METHODS: Fresh tumor tissue was collected from patients with bUC (n = 10) and benign mucosa from the bladder of individuals undergoing resection for non-UC conditions (n = 7). Gene expression profiles from these samples were determined using high-throughput Affymetrix gene expression microarray chips. Bioinformatic approaches were used to compare the gene expression profiles of these samples with those of rUC samples and normal kidney samples that had been described previously. RESULTS: Using unsupervised analytic approaches, rUC and bUC were indistinguishable. Yet when a supervised analytic approach was used, a small number of differentially expressed genes were identified; these differences were most likely limited to a single pathway--the chloride ion binding activity pathway--which was more frequently activated in rUC than in bUC. CONCLUSIONS: We found that the gene expression profiles of UCs from the upper and lower tract were extremely similar, suggesting that similar pathogenic mechanisms likely function in the development of these tumors. The differential expression of genes in the identified pathway may represent a new avenue for detection of upper-tract tumors.

SUBMITTER: Zhang Z

PROVIDER: S-EPMC3022544 | biostudies-literature | 2010

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Comparative gene expression profiling analysis of urothelial carcinoma of the renal pelvis and bladder.

Zhang Zhongfa Z Furge Kyle A KA Yang Ximing J XJ Teh Bin T BT Hansel Donna E DE

BMC medical genomics 20101215

<h4>Background</h4>Urothelial carcinoma (UC) can arise at any location along the urothelial tract, including the urethra, bladder, ureter, or renal pelvis. Although tumors arising in these various locations have similar morphology, it is unclear whether the gene expression profiles are similar between the upper-tract (ureter and renal pelvis) and lower-tract (bladder and urethra) carcinomas. Because differences may facilitate different screening and treatment modalities, we sought to examine the ...[more]

PMID: 21159190

Similar Datasets

Project description:Expression profiling by arrays Urothelial carcinoma (UC) can arise at any location along the urothelial tract, including the urethra, bladder, ureter or renal pelvis. Although tumors arising in these various locations demonstrate similar morphology, it is unclear whether the gene expression profiles are similar in the upper tract (ureter and renal pelvis) or in the lower tract (bladder and urethra) carcinomas, especially given their different embryologic origins. As differences may facilitate potentially different screening and treatment modalities, we sought to examine the relationship between urothelial carcinoma of the renal pelvis (rUC) and urothelial carcinoma of the bladder (bUC). Fresh tumor tissue was collected from patients with bUC (n=10) and benign mucosa from the bladder (n=7) was collected from individuals undergoing resection for non-UC conditions for comparison. Gene expression profiles from these samples were determined using high-throughput Affymetrix gene expression microarray chips. Bioinformatic approaches were used to compare gene expression profiles of these samples and those of rUC (n= 14) and normal kidney (n=14) that were mostly used in our previous publication. Using unsupervised analytic approaches, rUC and bUC were indistinguishable. When supervised analytic approach was used, a very small number of potentially differentially expressed genes was identified; these differences were most likely to be limited to a single pathway - the chloride ion binding activity pathway -which was more frequently activated in rUC than in bUC. We found that the gene expression profiles of UCs from the upper and lower tract were extremely similar, suggesting that similar pathogenic mechanisms likely function in the development of these tumors. The differential expression of genes in the identified pathway may represent a potential new avenue for detection of upper tract tumors. Tissue samples with urothelial cell carcinoma from lower tract (bladder) as well as normal references were collected and the gene expression profiles were compared with gene expression profiles of samples in our previously published data set . No technical replicates.

Project description:BackgroundInvasive urothelial carcinoma (iUC) is a major cause of death in humans, and approximately 165,000 individuals succumb to this cancer annually worldwide. Comparative oncology using relevant animal models is necessary to improve our understanding of progression, diagnosis, and treatment of iUC. Companion canines are a preferred animal model of iUC due to spontaneous tumor development and similarity to human disease in terms of histopathology, metastatic behavior, and treatment response. However, the comprehensive molecular characterization of canine iUC is not well documented. In this study, we performed transcriptome analysis of tissue samples from canine iUC and normal bladders using an RNA sequencing (RNA-Seq) approach to identify key molecular pathways in canine iUC.MethodsTotal RNA was extracted from bladder tissues of 11 dogs with iUC and five healthy dogs, and RNA-Seq was conducted. Ingenuity Pathway Analysis (IPA) was used to assign differentially expressed genes to known upstream regulators and functional networks.ResultsDifferential gene expression analysis of the RNA-Seq data revealed 2531 differentially expressed genes, comprising 1007 upregulated and 1524 downregulated genes, in canine iUC. IPA revealed that the most activated upstream regulator was PTGER2 (encoding the prostaglandin E2 receptor EP2), which is consistent with the therapeutic efficiency of cyclooxygenase inhibitors in canine iUC. Similar to human iUC, canine iUC exhibited upregulated ERBB2 and downregulated TP53 pathways. Biological functions associated with cancer, cell proliferation, and leukocyte migration were predicted to be activated, while muscle functions were predicted to be inhibited, indicating muscle-invasive tumor property.ConclusionsOur data confirmed similarities in gene expression patterns between canine and human iUC and identified potential therapeutic targets (PTGER2, ERBB2, CCND1, Vegf, and EGFR), suggesting the value of naturally occurring canine iUC as a relevant animal model for human iUC.

Project description:Renal cell carcinoma (RCC) is the most common cancer in adult kidney. The accuracy of current diagnosis and prognosis of the disease and the effectiveness of the treatment for the disease are limited by the poor understanding of the disease at the molecular level. To better understand the genetics and biology of RCC, we profiled the expression of 7,129 genes in both clear cell RCC tissue and cell lines using oligonucleotide arrays.Total RNAs isolated from renal cell tumors, adjacent normal tissue and metastatic RCC cell lines were hybridized to affymatrix HuFL oligonucleotide arrays. Genes were categorized into different functional groups based on the description of the Gene Ontology Consortium and analyzed based on the gene expression levels. Gene expression profiles of the tissue and cell line samples were visualized and classified by singular value decomposition. Reverse transcription polymerase chain reaction was performed to confirm the expression alterations of selected genes in RCC.Selected genes were annotated based on biological processes and clustered into functional groups. The expression levels of genes in each group were also analyzed. Seventy-four commonly differentially expressed genes with more than five-fold changes in RCC tissues were identified. The expression alterations of selected genes from these seventy-four genes were further verified using reverse transcription polymerase chain reaction (RT-PCR). Detailed comparison of gene expression patterns in RCC tissue and RCC cell lines shows significant differences between the two types of samples, but many important expression patterns were preserved.This is one of the initial studies that examine the functional ontology of a large number of genes in RCC. Extensive annotation, clustering and analysis of a large number of genes based on the gene functional ontology revealed many interesting gene expression patterns in RCC. Most notably, genes involved in cell adhesion were dominantly up-regulated whereas genes involved in transport were dominantly down-regulated. This study reveals significant gene expression alterations in key biological pathways and provides potential insights into understanding the molecular mechanism of renal cell carcinogenesis.

Project description:ObjectiveTo analyze the expression profile variation of lncRNAs in normal urinary bladder tissue and urothelial carcinoma of the urinary bladder through microarray technology. The differentially expressed lncRNAs were identified and classified, and their biological information was analyzed. The data obtained in the study will prove helpful for the diagnosis, treatment, and prevention of urothelial carcinoma of the bladder.Materials and methodsThree specimens of urothelial carcinoma of the bladder and three specimens of normal bladder tissue were identified by histology. The total RNA was isolated from the bladder urothelial carcinomas and normal tissue and purified. The targets were mixed and hybridized with the genes on the microarray, which contained thirty thousand lncRNAs. The bladder urothelial carcinomas were then compared with the normal bladder tissue. The lncRNAs that were differentially expressed between the two groups were identified based on the signal-to-noise ratios using the Agilent Feature Extraction software and were analyzed with the Agilent Genespring GX software (Agilent). The outcome was obtained, and the biological information of these genes was deposited in GenBank.ResultsThe expression profile of lncRNAs was significantly different between normal bladder tissue and urothelial carcinoma of the bladder. Compared with normal bladder tissue, 1,122 lncRNAs exhibited at least a twofold, significant difference (P < 0.05) and are thus regarded as differentially expressed lncRNAs. Of these, 734 and 388 lncRNAs were upregulated and down regulated. The differentially expressed lncRNAs in the urothelial carcinoma of the bladder are distributed on every chromosome, and most of these lncRNAs are distributed on chromosomes 1, 2, 3, 4, 6, and X.ConclusionsUrothelial carcinoma of the bladder is a complicated disease that involves the regulation of multiple genes and the participation of multiple chromosomes. Some of the differentially expressed lncRNAs that were upregulated, such as AK124776, lincRNA-RAB12-1, KRT8P25, RP11-474J18.4, AC000110.1, KRT8P13, KRT8P10, BC072678, and downregulated, such as nc-HOXB9-206, RP11-160A10.2, nc-HOXA11-86, nc-HOXD10-7, nc-HOXB9-205, CES4, nc-HOXD12-3, systematic research on these lncRNAs will help clarify the mechanisms of urothelial carcinoma of the bladder and guide the early diagnosis and treatment of this cancer in the future.

Dataset Information

Comparative gene expression profiling analysis of urothelial carcinoma of the renal pelvis and bladder.

Publications

Comparative gene expression profiling analysis of urothelial carcinoma of the renal pelvis and bladder.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets