Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the thebiological risk factors associated with PCa disparities observed in AA and EA patients, we performed microRNA profiling using Agilent Human miRNA arrays to identify the differentially expressed microRNAs beween: 1) AA and EA PCa patients; 2) AA PCa vs. AA normal; and 3) EA PCa vs. EA normal. 54 prostate biopsy specimens (tumor and adjacent normal tissues) were collected from 14 African American and 13 European American prostate cancer patients. 54 RNA samples, purified from the collected biopy specimens using Qiagen miRNeasy kit, were process and applied to Agilent human miRNA arrays. Array data was normalized and analyzed using Agilent GeneSpring program.
Project description:Prostate cancer (PCa) is a common cancer and remains the second leading cause of cancer-associated mortality in men. To investigate the involvement of differentially expressing genes in PCa with deregulated pathways to allow earlier diagnosis of the disease, transcriptomic analyses of differential expression genes in Fine-Needle Aspiration (FNA) biopsies were for discrimination of PCa from benign prostatic hyperplasia (BPH). The RNA samples were extracted from four PCa biopsy samples and four BPH biopsy controls for microarray profiling and performed in Affymetrix Human U133 Plus 2 arrays for gene expression profiling analysis. Microarray data were analyzed using GeneSpring GX 10 (Agilent).On average, we detected expression of 47,000 transcripts.Under the criteria fold change > 2 or < 0.5, we obtained 1819 differential expressed genes(DEGs).Hierarchy cluster analysis also indicated that the 8 samples were distributed into two clusters, 4 PCa samples in one cluster and 4 BPH samples in another cluster.Then,qRT-PCR validation of the DEGs in PCa tissue and prostate cancer cells.The results revealed that grouping was reasonable and the data can be directly applied to further analysis.
Project description:This study aims to screen and identify microRNA (miRNA) expression profiles across different stages of prostate cancer (PCa) and benign prostatic hyperplasia (BPH) using high-throughput sequencing. The study seeks to determine whether specific miRNAs show consistent differential expression across various stages of PCa, with the goal of identifying potential biomarkers relevant to disease progression.
Project description:Comparison of miRNA expression profiles in normal and malignant prostate tissues. Keywords: microarray analysis of microRNA expression profiles MicroRNA expression was compared between normal prostate tissue from either young subjects that died of trauma, or normal adjacent to tumor, and prostatic tumors in older prostate cancer patients. RNA was isolated from frozen tissue sections, enriched for the miRNA fraction, which was subsequently labeled and hybridized to miRNA microarrays for expression profiling analysis.
Project description:Laser Capture Microdissected cells from archival FFPE Prostate cancer and normal adjacent tissues from 10 patients (5 CA and 5 AA) were converted to cDNA and analysed by PCR array to identify differentially expressed miRNAs between the groups. Selected differentially expressed miRNAs were further validated in tissues from 40 prostate cancer patients. The miRNAs which were differentially modulated in PCa patients in the validation set were further analysed in 32 urine samples from PCa patients and compared with 12 healthy individuals. Differentially expressed miRNAs were explored to e used as non-invasive biomarker for PCa. qPCR miRNA expression profiling. mRNA from 10 Prostate Cancer patients (5 Caucasian American and 5 African American) and their paired adjacent normal tissue were analysed to identify the differentially expressed miRNA between the groups. Equal amount small RNA from each group was pooled prior to gene expression analysis.
Project description:Prostate cancer (PCa) tends to be more aggressive and lethal in African Americans (AA) compared to European Americans (EA). To further understand the thebiological risk factors associated with PCa disparities observed in AA and EA patients, we performed microRNA profiling using Agilent Human miRNA arrays to identify the differentially expressed microRNAs beween: 1) AA and EA PCa patients; 2) AA PCa vs. AA normal; and 3) EA PCa vs. EA normal.
