Project description:This SuperSeries is composed of the following subset Series: GSE28204: mRNA expression profile in PCa And BPH from Chinese patients GSE34932: miRNA expression profile in PCa And BPH tissue from Chinese patients Refer to individual Series
Project description:In this study, we aimed to identify a miRNA expression signature that could be used to distinguish PCa from BPH. We have shown for the first time in the literature the presence of miRNAs in the PSS. We suggest PSS as a powerful non-invasive source for evaluation of prognosis in PCa, since prostate massages can be easily applied during routine examination. Our results showed that certain differentially expressed miRNAs in PSS could be used as diagnostics markers. Prostate secretion samples (PSS) from 23 PCa and 25 benign prostate hyperplasia (BPH) patients were obtained from Urology Department of Bagcilar Educational and Research Hospital (Istanbul). MicroRNA (miRNA) profiling of eight PSS (four from BPH, four from PCa patients) were performed using microarray. Four of significantly deregulated miRNAs were further confirmed using quantitative reverse-transcription PCR (qRT-PCR). Statistical analysis was performed using Student’s t-test. ROC curves were plotted with SPSS-15.0.
Project description:Purpose: The goals of this study are to compare the serum extracellular vesicle (EV) delivered miRNA levels of patients with bone-metastatic prostate cancer (PCa), non-bone -metastatic PCa and benign prostatic hyperplasia (BPH), and to identify EV-delivered microRNAs in patient’s serum as indicators for bone-metastatic PCa. Methods:Serum extracellular vesicle delivered miRNA profiles of patients with bone-metastatic PCa or non-bone -metastatic PCa or BPH were generated by deep sequencing, using Illumina HiSeqTM 2500 platform Results: Using an optimized data analysis method, we mapped about 17 million sequence reads per sample. Differential analysis showed the expressions of 35 EV delivered miRNAs were significantly different between serum of patients with PCa and BPH, with a p value <0.05. the expressions of 5 EV delivered miRNAs were confirmed with qRT–PCR. Conclusions: Serum EV-delivered miR-181a-5p is a promising diagnostic biomarker for bone-metastatic PCa.
Project description:Purpose: The goals of this study are to compare the serum extracellular vesicle (EV) delivered miRNA levels of patients with bone-metastatic prostate cancer (PCa), non-bone -metastatic PCa and benign prostatic hyperplasia (BPH), and to identify EV-delivered microRNAs in patient’s serum as indicators for bone-metastatic PCa. Methods:Serum extracellular vesicle delivered miRNA profiles of patients with bone-metastatic PCa or non-bone -metastatic PCa or BPH were generated by miRNA chip array, using Agilent-070156 Human_miRNA_V21.0_Microarray plateform. Results: Differential analysis showed the expressions of 27 EV delivered miRNAs were significantly different between serum of patients with bone-metastatic PCa and non-bone-metastatic PCa with a p value <0.05. the expressions of 5 EV delivered miRNAs were confirmed with qRT–PCR. Conclusions: Serum EV-delivered miR-181a-5p is a promising diagnostic biomarker for bone-metastatic PCa.
Project description:We have sequenced miRNA libraries from human embryonic, neural and foetal mesenchymal stem cells. We report that the majority of miRNA genes encode mature isomers that vary in size by one or more bases at the 3’ and/or 5’ end of the miRNA. Northern blotting for individual miRNAs showed that the proportions of isomiRs expressed by a single miRNA gene often differ between cell and tissue types. IsomiRs were readily co-immunoprecipitated with Argonaute proteins in vivo and were active in luciferase assays, indicating that they are functional. Bioinformatics analysis predicts substantial differences in targeting between miRNAs with minor 5’ differences and in support of this we report that a 5’ isomiR-9-1 gained the ability to inhibit the expression of DNMT3B and NCAM2 but lost the ability to inhibit CDH1 in vitro. This result was confirmed by the use of isomiR-specific sponges. Our analysis of the miRGator database indicates that a small percentage of human miRNA genes express isomiRs as the dominant transcript in certain cell types and analysis of miRBase shows that 5’ isomiRs have replaced canonical miRNAs many times during evolution. This strongly indicates that isomiRs are of functional importance and have contributed to the evolution of miRNA genes
Project description:miRNAs have been proven to be very useful biomarkers, readily detectable in body fluids, particularly urine may be a valuable source to identify changes in miRNA levels that contribute to better differentiate prostate cancer (PCa) from benign prostate hyperplasia (BPH) cases. In order to characterize microRNA expression in urine samples from PCa, we analyzed expression of 376 microRNAs in 9 samples of PCa and 9 of BPH. The Normalized Ct values were compared between PCa and BPH. Statistical comparisons were made using Mann-Whitney U test, considering two different distributions. We found statiscally differences n expression for 21 miRNAs (Fold change >2 and P value<0.05).
Project description:Due to heterogeneous multifocal nature of prostate cancer (PCa), there is currently a lack of biomarkers that stably distinguish it from benign prostatic hyperplasia (BPH), predict clinical outcome and guide the choice of optimal treatment. In this study, RNA-seq analysis was applied to formalin-fixed paraffin-embedded (FFPE) tumor and matched normal tissue samples collected from Russian patients with PCa and BPH. We identified 3384 genes differentially expressed (DE) (FDR < 0.05) between tumor tissue of PCa patients and adjacent normal tissue as well as both tissue types from BPH patients. Overexpression of four of the genes previously not associated with PCa (ANKRD34B, NEK5, KCNG3, and PTPRT) was validated by RT-qPCR. Furthermore, the enrichment analysis of overrepresented microRNA and transcription factor (TF) recognition sites within DE genes revealed common regulatory elements of which 13 microRNAs and 53 TFs were thus linked to PCa for the first time. Moreover, 8 of these TFs (FOXJ2, GATA6, NFE2L1, NFIL3, PRRX2, TEF, EBF2 and ZBTB18) were found to be differentially expressed in this study, making them not only candidate biomarkers of prostate cancer but also potential therapeutic targets.