Project description:The use of Nitric Oxide as a Radiosensitiser of Hypoxic Prostate Cancer Characterized by Data Independent Label-free Ion Mobility LC-MS
Project description:We performed RNA-Seq analysis of plasma and urinary EVs collected before and after radical prostatectomy, and matched tumor and normal prostate tissues of 10 patients with prostate cancer. To identify putative cancer-derived RNA biomarkers, we searched for RNAs that were overexpressed in tumor as compared to normal tissues, present in the pre-operation EVs and decreased in the post-operation EVs in each RNA biotype.
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:In order to detect proteins sensitive and specific enough to detect early stages of PCa, we performed a complex comparative proteomic study analyzing urine as a source for non-invasive biomarkers. We compared urine samples from patients with early PCa stages and Gleason score between 6 and 7 with samples from patients with BPH and other urological cancers, namely bladder and renal. The main goal of this study was to discover a diagnostic biomarker or set of biomarkers in urine, sufficiently sensitive to detect PCa in its early stages and specific enough to separate the disease from BPH or other urological cancers.
Project description:The occurrence of cancer is not equally distributed across the three zones of the prostate gland; the peripheral (PZ), central and transition zones (TZ). The majority (~70%) of diagnosed prostate cancer (PCa) is found in the PZ compared to the TZ. In this study we comprehensively measure whole genome expression by next-generation sequencing of the PZ and TZ from prostate tissue. Our aim was to identify the molecular and metabolic differences between the two zones that could underlie the differential susceptibility to PCa incidence. Following histological assessment of tissue adjacent to the biopsies used for RNAsequencing we identified 4 out of the 18 samples to be cancerous. Although these are included in the ArrayExpress submission, they were not included in the final analysis of data that reported the molecular differences between morphologically normal peripheral and transition zones.
Project description:In order to examine the impact our probe filtering efforts might have on the analysis of real-world primary data, we analyzed clinical prostate cancer specimens. This included profiling of four prostate tumour tissue samples and four benign prostate tissues using the Illumina Infinium Human Methylation450 (HM450K bead array) BeadChip. These samples were used to explore the effects on analysis with and without a probe filtering. Four tumour samples containing Gleason 6 cancer and four benign samples from other prostate glands containing Gleason 6 cancer were selected for study. Tissue samples were cryosectioned for histopathological assessment. Genomic DNA was extracted from the homogenized samples using the Allprep Micro Kit (Qiagen, CA, USA) following manufacturer’s instructions and bisulfite converted using the Zymo EZ DNA Methylation kit (Zymo Research Corporation, CA, USA). The resulting libraries were hybridized onto the Illumina HumanMethylation450 (HM450K bead array) BeadChip. Raw intensity data was generated using an iScan microarray reader (Illumina).
Project description:Deregulated expression of miRNAs contributes to prostate cancer progression. This study is aimed to identify which miRNA(S) is (are) asociated with prostate cancer aggressiveness. Prostate cancer tissues and matched adjacent normal tissue were used to isolate total RNA. miRNA expressions were analyzed by miRNA Microarray assay.
Project description:Large-scale gene expression profiles were investigated in 48 normal and 47 prostate tumor tissue samples using Affymetrix GeneChip Exon 1.0 ST microarrays. Gene expression profiling of human prostate samples using Affymetrix Human Exon 1.0 ST arrays Two disease subtype analyses were performed: - Prostate Tumor vs Benign - TMPRSS2-ERG fusion-positive vs fusion-negative prostate tumors