Screening of urine methylation biomarker for prostate cancer detection
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ABSTRACT: Methylation profiling of urine samples from patients with aggressive prostate cancer and without prostate cancer. Methylated DNA was immunoprecipitated with anti-methylcytosine antibodies from genomic DNA and detected by Affymetrix CytoScanHD chips. Methylated DNA was purified by 5-mC antibodies and Affymetrix CytoScanHD arrays were performed according to the manufacturer's protocols.
Project description:Methylation profiling of immortalized human prostate epithelial cells after CTCF knockdown by short hairpin RNA. Methylated DNA was immunoprecipitated with anti-methylcytosine antibodies from genomic DNA and detected by Affymetrix CytoScanHD chips. Methylated DNA was purified by 5-mC antibodies and Affymetrix CytoScanHD arrays were performed according to the manufacturer's protocols.
Project description:High-throughput analyses of concordant gene methylation and expression events were carried out for 91 human prostate specimens, including prostate cancer (T), matched normal adjacent to tumor (AT), and organ donor (OD). Methylated DNA in genomic DNA was immunoprecipitated with anti-methylcytidine antibodies and detected by Affymetrix human whole genome SNP 6.0 chips. Methylated genomic DNA was purified by 5-hmc antibodies and Affymetrix SNP arrays were performed according to the manufacturer's manual. Copy number analysis of Affymetrix human SNP arrays was performed for both 5mc- and genomic DNA of prostate cancer samples. Methylations of genes were called when the allel amplification was reported in 5_mc DNA, and the background of the detection was suppressed by matched DNA sample. we used copy number of each probe set as baseline to detect the enrichment of methylated DNA from the same sample. Therefore, each specimen has two arrays; one is straight copy number (*SNP.CEL), another methylation enriched DNA (*5MC_SNP.CEL). Each CNV probe is based on the design from Affymetrix but no SNP ID was assigned.
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)
Project description:Two established cell lines, LNCaP and DU145 and two primary prostate cancer cell lines, PCSC1-2 were invaded toward a stem cell media through Matrigel. DNA was isolated from Non-invasive cells and invasive cells. Methylated DNA was isolated from each sample using the Methyl Collector kit from Active Motif. Methylated and Non-Methylated DNA was dye labeled and applied to 244K Human promoter tiling arrays.
Project description:Clinical management of prostate cancer remains a significant challenge due to the lack of available tests for guiding treatment decisions. The blood Prostate-Specific Antigen (PSA) test has facilitated early detection and intervention of prostate cancer. However, blood PSA levels are less effective in distinguishing aggressive from indolent prostate cancers and other benign prostatic diseases. Thus, the development of novel approaches specific for prostate cancer that can differentiate aggressive from indolent disease remains an urgent medical need. In the current study, we evaluated urine specimens from prostate cancer patients instead of serum using liquid chromatography-tandem mass spectrometry (LC-MS/MS), with the aim of identifying effective prostate cancer biomarkers. Glycoproteins from urine samples of prostate cancer patients with different Gleason scores were characterized via solid phase extraction of N-linked glycosite-containing peptides and LC-MS/MS. In total, 2923 unique glycosite-containing peptides were identified. Comparison of urine-based glycoproteins with those identified from aggressive and non-aggressive prostate cancer tissues as well as sera from prostate cancer patients revealed that the majority of aggressive prostate cancer-associated glycoproteins were more readily detected in patient urine than serum samples. Our data collectively indicate that urine provides a highly reliable source for biomarker testing in patients with aggressive prostate cancer.
Project description:We evaluated the presence of genome-wide epigenetic differences at 385,000 loci using Encode HG18 DNA methylation arrays in 5 non-tumor-associated (NTA) and 4 histologically undistinguished tumor-associated (TA) prostate tissues. We identified 615 probes to be differentially methylated (p<0.05) in TA prostate, with 537 (87%) hypomethylated and 78 (13%) hypermethylated. comparison of methylation in NTA to TA prostate tissue
Project description:Benign prostatic hyperplasia and related lower urinary tract symptoms remain common, costly, and impactful issues for aging males. Etiology and pathogenesis are multifactorial and include steroid hormone changes and inflammation. Noninvasive markers could one day inform personalized medicine, but interindividual variation and lack of healthy age-matched controls hamper research. Experimental models are appealing for insight into disease mechanisms. Here, we present a spatiotemporal proteomics study in a mouse model of hormone-induced urinary dysfunction. Urine samples were collected noninvasively across time: before, during, and after disease onset. Microcomputed tomography analysis implicated the prostate as a spatially relevant contributor to bladder outlet obstruction. Prostates were collected after disease onset and compared with control mice. Notable changes in urine include proteins representing oxidative stress defense and acute phase inflammatory response processes. In the prostate, hormone treatment led to perturbations related to oxidative stress response and H2O2 metabolism. Several protein changes coincided in both urine and prostate tissue, including Ctsb, Qsox1, and Gpx3. This study supports the concept of noninvasive urinary biomarkers for prostate disease diagnostics. Oxidative stress and acute phase inflammatory processes were identified as key consequences of hormone-induced bladder outlet obstruction. Future research into antioxidants and anti-inflammatories in prostate disease appears promising.
Project description:Global transcription profiling of E. coli strains CFT073, Nissle 1917 and 83972 grown exponentially in MOPS, exponentially in human urine and in biofilms in human urine.
Project description:Here we used Illumina NGS for high-throughput profiling of the DNA methylome in seven human benign prostate tissues, seven human primary prostate cancer and six human castration resistant prostate cancer patient samples. These data were used to profile the CpG cytosine methylation pattern at single base resolution in each sample and to determine differentially methylated cytosines and regions among samples. Enhanced Reduced Representation Bisulfite Sequencing (ERRBS, MspI,150M-bM-^@M-^S400 bp size fractions) of 20 human prostate tissues (benign prostate tissues, localized and metastatic prostate cancer)
Project description:Mid-stream urine was collected from bladder cancer patients prior to surgery. Both tumor tissue and normal bladder mucosa that are located at >3cm away from the tumor edge were obtained by cystoscopy. For the normal controls with haematuria, urine samples were collected from patients who had normal cystoscopic finding and absence of malignancy with >6 months follow-up. All urine samples were centrifuged at 2500 r.c.f. for 20 minutes and the urine supernatant was collected. Total RNA of urine supernatant and frozen tissue was extracted using MirVanaTM PARISTM Kit (Ambion) in accordance with the manufacturerâs recommended protocols. AgilentTM Human miRNA Microarray Chip (Release 13.0, Agilent Technologies, Santa Clara, CA, USA) was used to determine the microRNA expression profiles of the samples.