Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

MicroRNA Expression Profiles of Patients with Biochemically Recurrent Prostate Cancer

ABSTRACT: It is of paramount importance to unravel the molecular mechanisms underlying PCa progression to develop novel diagnostic and therapeutic approaches. MicroRNA (miRNA) profiling through microarrays is an invaluable tool to identify a miRNA signature, which is required to determine the general and specific expression alterations between distinct types of tissues. In this study, it is aimed to compare the miRNA profile of recurrent and non-recurrent prostate tumor tissues to explore a possible involvement of miRNAs in PCa progression.

ORGANISM(S): Homo sapiens

SUBMITTER: Chad Creighton

PROVIDER: E-GEOD-55323 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

miR-1 and miR-133b are differentially expressed in patients with recurrent prostate cancer.

Karatas Omer Faruk OF Guzel Esra E Suer Ilknur I Ekici Isin D ID Caskurlu Turhan T Creighton Chad J CJ Ittmann Michael M Ozen Mustafa M

PloS one 20140626 6

Prostate cancer (PCa) is currently the most frequently diagnosed malignancy in the western countries. It is more prevalent in older men with 75% of the incident cases above 65 years old. After radical prostatectomy, approximately 30% of men develop clinical recurrence with elevated serum prostate-specific antigen levels. Therefore, it is important to unravel the molecular mechanisms underlying PCa progression to develop novel diagnostic/therapeutic approaches. In this study, it is aimed to compa ...[more]

PMID: 24967583

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Project description:Recurrent hepatitis C virus (rHCV) is universal post-liver transplantation (LT), with accelerated fibrosis rates compared to non-transplanted patients. rHCV is associated with increased mortality and morbidity post-transplant and is a leading indication for re-transplantation. We hypothesized that miRNA expression profiles from liver grafts can distinguish severity of HCV recurrence and differentiate this from acute cellular rejection (ACR). Methods Using microarrays, we characterized global microRNA (miRNA) expression from patients with slow HCV fibrosis progression (F<2 Ishak), fast HCV fibrosis progression (FM-bM-^IM-%2 Ishak), ACR and non-HCV transplanted patients. Selected miRNA were analysed by quantitative PCR (qPCR) using both liver tissue and serum samples. Results We demonstrated changes in miRNA expression in patients with slow HCV fibrosis progression that were anti-fibrogenic, anti-angiogenic and anti-inflammatory in comparison to patients with fast HCV fibrosis progression. miRNA-146a, miRNA-19a, miRNA- 20a and miRNA-let-7e expression were increased in the slow HCV fibrosis progression group. In addition, comparison of patients with fast HCV progression against patients with ACR identified pro-fibrogenic pathways. qPCR analysis on liver tissue and serum confirmed the up-regulation of miRNAs in the slow HCV fibrosis progression group. Conclusion We demonstrate specific miRNA expression signatures that distinguish rate of progression of HCV recurrence and ACR post M-bM-^@M-^Sliver transplantation. Pathway analysis indicates that specific miRNA may play a regulatory role in these processes. The miRNAs identified may act as potential biomarkers for HCV recurrence post-LT and help distinguish between ACR and recurrent HCV. We compared 29 patients in total; 11 patients with slow HCV fibrosis progression, 9 patients with fast HCV fibrosis progression, 5 patients with acute cellular rejection and 4 HCV negative patients with normal liver histology that acted as controls. RNA was extracted from archived histology samples of the RG and NRG and miRNA expression was analysed using the affymetrix Genechip miRNA 2.0 assays.

Project description:Transcription signatures have been used to stratify breast cancer patients into clinically distinct subgroups. However, transcription alone does not determine protein expression. Of potentially equal importance for determining the tumor phenotype is the rate at which transcripts are translated to form protein. Protein translation is controlled to a major degree by miRNA, and cancer cells may deregulate the expression of key genes by altering the activity of relevant miRNAs. The importance of miRNA deregulation and the extent to which multiple miRNAs coordinately deregulate key proteins in breast cancer is only partly understood. To gain such insight, we analyzed genome-wide miRNA expression and mRNA/protein expression for a panel of 105 selected cancer related genes in breast carcinomas from 283 patients. The miRNA-mRNA-protein interactome for the selected genes was constructed by modeling protein expression as a joint function of mRNA and miRNA expression, considering the effect of both one miRNA at a time, and all studied miRNAs simultaneously. The interactome represents a map of the global effects of miRNAs on protein expression, capturing direct as well as indirect effects. The results reveal extensive association between miRNA and protein expression as well as coordinated effects of multiple miRNAs on individual proteins. Applying the model onto two other independent primary breast cancer cohorts confirmed the generalizability of key aspects of the interactome map. The miRNA expression profiling of 283 breast cancer samples was performed using the 8x15k “Human miRNA Microarray Kit release 14.0 (V2)” with design id 029297 from Agilent (Agilent Technologies, Santa Clara, CA, USA). In brief, 100 ng total RNA was dephosphorylated, labeled and hybridized for 20 hours, following the manufacturer’s protocol. Scanning was performed on Agilent Scanner G2565A, signals were extracted using Feature Extraction v10.7.3.1 and the subsequent data processing was performed using the GeneSpring software v11.0 (Agilent Technologies). In brief, the miRNA signal intensities were log2-transformed and normalized to the 90th percentile, and miRNAs that were detected in less than 10% of the samples were excluded. This resulted in 421 unique mature miRNAs. The Oslo Breast Cancer Consortium (OSBREAC)

Dataset Information

MicroRNA Expression Profiles of Patients with Biochemically Recurrent Prostate Cancer

Publications

miR-1 and miR-133b are differentially expressed in patients with recurrent prostate cancer.

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