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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.

ORGANISM(S): Homo sapiens

PROVIDER: GSE49298 | GEO | 2013/09/27

SECONDARY ACCESSION(S): PRJNA213574

REPOSITORIES: GEO

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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. 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.

2013-09-27 | E-GEOD-49298 | biostudies-arrayexpress

Multi-omic diagnostics of prostate cancer in the presence of benign prostatic hyperplasia

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

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

2012-07-12 | GSE39314 | GEO

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

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). For the initial screening of all the studied samples, we selected only those with a concentration above 100 ng/ml, for a total of 9 samples of group of PCa and 9 BPH group. The isolated RNA was evaluated by measuring the absorbance at 260 nm and 280 nm. RNA aliquots from specimens were pooled and reverse transcription (RT) reaction was pweformed. In total, we formed 3 pools from BPH specimens and 3 from PCa ones. The RT product was used to perform a preamplification reaction. The product of preamplification teaction was loaded into the Taqman Homo sapiens microRNA Low density arrays (TLDA) panel A and amplification signal was detected using the 7900 FAST real time thermal cycler (ABI).

2012-07-12 | E-GEOD-39314 | biostudies-arrayexpress

Intact N-glycopeptide signatures of immunoglobulin G molecules in plasma from patients with prostate carcinoma and benign prostatic hyperplasia

Project description:Benign prostatic hyperplasia (BPH) is difficult to discriminate from prostate carcinoma (PCa) preoperatively. The non-invasive biomarkers are necessary to reduce the burden of biopsies and improve survival quality of patients. Previous research suggests that abnormal glycosylation of immunoglobulin gamma molecules (IgGs) may associated with immunological diseases and prostate diseases. Hence, characterizing intact N-glycopeptides of IgGs that correspond to N-glycan structure with specific site information enable better understanding of the molecular pathogenesis and finding out some novel signatures in preoperative discrimination of BPH from PCa. In this study, we profiled intact N-glycopeptides of purified IgGs from 51 PCa patients and 45 BPH patients by our developed N-glycoproteomic method using hydrophilic interaction liquid chromatography enrichment coupled with high resolution LC-MS/MS, and intact N-glycopeptides quantitative analysis was performed using pGlyco 2.0 and MaxQuant softwares. Our data provided plasma IgG subclass-specific and site-specific N-glycosylation quantitative information.

2020-06-29 | PXD016175 | Pride

Tissue Proteome Signatures Associated with Five Grades of Prostate Cancer and Benign Prostatic Hyperplasia

Project description:Prostate cancer (PCa) remains a prevalent and deadly disease. The histology-based Gleason score (GS) of PCa tissue biopsy is the most accurate predictor of disease aggressiveness and an important measure to guide decision-making with respect to treatment strategies and patient management. However, inherent variability associated with PCa tumour sampling and the subjective determination of the GS are still key challenges precluding accurate diagnostication and prognostication. Thus, novel molecular signatures are urgently needed to distinguish between indolent and aggressive forms of PCa for better patient management and outcomes. Herein, we have used label-free LC-MS/MS-based proteomics to profile the proteome of 50 PCa tissues spanning five GS-based PCa grades (n = 10 per group) relative to five tissues from individuals with benign prostatic hyperplasia (BPH). Over 2,000 proteins were consistently identified albeit at different levels between and within the patient groups, revealing biological processes associated with specific grades. Excitingly, a panel of 11 prostate-derived proteins including IGKV3D-20, RNASET2, TACC2, ANXA7, LMOD1, PRCP, GYG1, NDUFV1, H1FX, APOBEC3C, CTSZ displayed the potential to accurately stratify patients displaying low and high GS. This is the first study to characterise the prostate tissue proteome signatures of the five PCa grades relative to BPH. We report a panel of proteins that accurately can distinguish low and high GS PCa tissues. These promising proteins can be further explored as candidate biomarkers for PCa aggressiveness.

2019-10-09 | PXD013837 | Pride

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

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.

2020-01-31 | GSE134205 | GEO

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

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.

2020-01-31 | GSE134266 | GEO

Genome-wide analysis of prostatic tissue gene expression from patients with benign prostatic hyperplasia

Project description:Analysis of gene expression in prostatic tissue from BPH patients with and without SRD5A2 gene methylation. The hypothesis is that BPH patients with DNA methylation of the SRD5A2 gene promoter have impaired conversion of testosterone to dihydrotestosterone, and therefore may use an alternative signaling pathway for prostatic tissue growth. Here, we compare gene expression profiles of SRD5A2-methylated vs. unmethylated prostatic tissue to nominate alternative biological pathways relevant in each molecular subtype of BPH.

2017-10-01 | GSE101486 | GEO

miRNA expression profiles in the 19 candidate urines (prostate cancer, CaP, patients and non-cancer subjects with benign prostatic hyperplasia, BPH)

Project description:The aims of the study were investigated whether expression of urinary cell-free miRNAs would be different between prostate cancer (CaP) patients and non-cancer subjects with benign prostatic hyperplasia (BPH). Urinary cell-free miRNAs will provide potential benefits for detecting CaP, and virus-encoded hsv1-miR-H18 and hsv2-miR-H9-5p could be the important urinary diagnostic markers of CaP. It would be interesting because this is the first report about virus-encoded miRNAs related to CaP, and two miRNAs showed good diagnostic performance even in patients with PSA gray zone. A total 14 urines from patients with CaP (7 localized and 7 advanced stage) and 5 of BPH controls were used for miRNA array analysis.

2014-01-14 | E-GEOD-54010 | biostudies-arrayexpress

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