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Identification of microRNAs differentially expressed in prostatic secretions of patients with prostate cancer

ABSTRACT: 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.

ORGANISM(S): Homo sapiens

SUBMITTER: Mustafa Ozen

PROVIDER: E-GEOD-49298 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Identification of microRNAs differentially expressed in prostatic secretions of patients with prostate cancer

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.

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Evaluation of microRNAs in urine samples as indicators of prostate cancer occurrence

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Molecular analyses of prostate tumors for diagnosis of malignancy on Fine-Needle Aspiration biopsies

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Deep sequencing identified serum extracellular vesicle delivered miR-181a-5p as an indicator for bone-metastatic prostate cancer (microarray)

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2020-01-31 | GSE134266 | GEO

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Project description:There is an unmet need for improved diagnostic testing and risk prediction for cases of prostate cancer (PCa) to improve care and reduce overtreatment of indolent disease. Here we have analysed the serum proteome and lipidome of 262 study participants by liquid chromatography-mass spectrometry, including participants with a diagnosis of PCa, benign prostatic hyperplasia (BPH), or otherwise healthy volunteers, with the aim of improving biomarker specificity. Although a two-class machine learning model was able to separate PCa from controls with sensitivity of 0.82 and specificity of 0.95, adding BPH resulted in a statistically significant decline in specificity for prostate cancer to 0.76, with half of BPH cases being misclassified by the model as PCa. A small number of biomarkers differentiating between BPH and prostate cancer were identified, including proteins in MAP Kinase pathways, as well as in lipids containing oleic acid; these may offer a route to greater specificity. These results highlight, however, that whilst there are opportunities for machine learning, these will only be achieved by use of appropriate training sets that include confounding comorbidities, especially when calculating the specificity of a test.

2024-01-26 | PXD046530 | Pride

Novel RNA biomarkers of prostate cancer revealed by RNA-seq analysis of formalin-fixed samples obtained from Russian patients

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.

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Project description:One of the challenges of current research in prostate cancer is to improve the differential non-invasive diagnosis of prostate cancer (PCa) and benign prostate hyperplasia (BPH). Extracellular vesicles (EV) are emerging structures with promising properties for intercellular communication. In addition, the characterization of EV in biofluids is an attractive source of non-invasive diagnostic, prognostic and predictive biomarkers. Here we show that urinary EV (uEV) from prostate cancer patients exhibit genuine and differential physical and biological properties. Importantly, transcriptomics characterization of uEVs led us to define the decreased abundance of Cadherin 3, type 1 (CDH3) transcript in uEV from PCa patients. Tissue and cell line analysis strongly suggested that the status of CDH3 in uEVs is a distal reflection of changes in the expression of this cadherin in the prostate tumor. Our results reveal that uEVs could represent a non-invasive tool to inform about the molecular alterations in prostate cancer. RNA extraction was performed in 10 ultracentrifuge-isolated-uEVs samples (4 BPH, 6 Pca)

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