Similar Datasets
Project description:miRNA expression profiling of prostate cancer (PCa) samples
| PRJNA596470 | ENA
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.
2010-05-14 | E-GEOD-6636 | biostudies-arrayexpress
Project description:We investigated the relative miRNA levels in primary prostate cancer samples from patients that had a subsequent recurrence event versus patients that did not. For one of the top miRNAs arising from this analysis, miR-33a, we carried out further investigation, including miRNA levels in normal and tumor prostate samples as well as PCa cell lines. Then, we performed a detailed functional analysis of mir-33a in LNCaP and VCaP PCa cells and evaluated proliferative, invasive and anchorage independent growth potential of cells upon overexpression and knockdown of miR-33a.
2018-02-27 | GSE88958 | GEO
Project description:MicroRNAs (miRNAs) play important roles in cell differentiation and self-renewal controlling post-transcriptional processing of mRNAs and attenuating production of the encoded proteins. Here, we unveil a novel oncogenic pathway leading to activation of STAT3 signaling through miRNA-mediated silencing of the E3 ubiquitin ligase COP1. miRNA profiling showed that miR-424 was upregulated in prostate cancer compared to normal prostate and specifically associated with reduced level of the ETS factor ESE3/EHF in an aggressive subgroup of tumors. MiR-424 was significantly elevated also in other epithelial cancers and amplified in 1-3% of various cancers. In normal prostate epithelial cells miR-424 was repressed by ESE3/EHF and when upregulated promoted oncogenic and cancer stem cell (CSC) properties. Conversely, ablation of miR-424 in metastatic prostate cancer cells reduced CSC self-renewal and prevented in vivo tumour initiation and metastatic spread. miR-424 targeted the 3' UTR of COP1 mRNA and reduced COP1 protein level. COP1 induced STAT3 ubiquitylation and degradation by the ubiquitin-proteasome system (UPS). Therefore, reduced levels of COP1 in prostate cancer cells, resulted in accumulation and increased STAT3 signaling. COP1 knockdown and over-expression phenocopied the effects of miR-424 deregulation on oncogenic phenotypes and STAT3 signalling, while STAT3 knockdown prevented the transforming effects of miR-424. Consistently, expression of EHF/ESE3 and RFWD2/COP1 were highly correlated in human prostate cancers and other epithelial tumors. Furthermore, miR-424 induced genes were enriched of STAT3 targets, converged with those induced by COP1 loss in mouse embryos and were associated with adverse prognosis in prostate and other epithelial cancers. In primary prostate tumours, low COP1 and high STAT3 protein level were also significantly associated and predictive of biochemical relapse. Collectively, this study reveals a novel miRNA-activated oncogenic axis in prostate cancer. Targeting miR-424 or miR-424 dependent pathways may represent a unique approach to attack a key node in tumorigenesis.
2017-12-31 | GSE60117 | GEO
Project description:Copy number variations (CNVs) in the human genome have been linked to various carcinomas including prostate cancer (PCa). This study was conducted to identify CNVs in high grade PCa. We performed a pilot genome-wide CNV analysis in 36 subjects (18 high grade PCa and 18 benign prostatic hyperplasia) using array comparative genomic hybridization (aCGH) technique. Array results were validated using PCR-based copy number counting method. A total of 339 CNV regions were found to be unique to PCa subjects in this cohort (P < 0.05). Data segregation and filtering revealed six putative CNV loci associated with susceptibility to PCa. Of these, four were rare (1q21.3, 15q15, 3q27.2 and 7p12.1) and one was a novel copy number gain (12q23.1), harbouring genes such as the ARNT, THBS1, SLC5A8 and DDC which are crucial in the p53 and cancer pathways. Another CNV was a loss at 8p11.21 which contains the SFRP1 gene from the Wnt signalling pathway, known for its interaction with androgen receptors as reported for urological malignancy. Cross comparison analysis with genes already known to be associated with PCa revealed significant CNVs involved in crucial biological processes that elicit cancer pathogenesis via cytokine production, disease progression through endothelial cell proliferation and xenobiotic metabolism. In conclusion, these findings suggest that the CNV regions identified could provide an insight into the development of high grade PCa.
2018-12-18 | GSE79402 | GEO
Project description:Prostate cancer (PCa) is the most common malignant carcinoma that develops in men in Western countries. Up to 30% of patients continue to suffer from disease progression following radical prostatectomy. Therefore, better prognostic markers and molecular targets for cancer treatment are needed. MicroRNA (miRNA) has the potential to be used as biomarkers and as a therapeutic target for the treatment of various cancers, including PCa. Here, to determine how miRNA is involved in PCa progression, we investigated the miRNA expression profiles of 3 PCa cell lines, namely PC3, DU145, and LNCaP, and 2 normal prostate cell lines, namely RWPE-1 and PrSc, using miRNA microarrays. We investigated miRNA genes that were significantly upregulated in PCa cell lines (PC3, DU145, LNCaP) compared with normal cell lines (RWPE-1, PrSc).
2013-09-01 | E-GEOD-40026 | biostudies-arrayexpress
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.
2015-07-27 | E-GEOD-64318 | biostudies-arrayexpress
Project description:Prostate cancer (PCa) is the most common malignant carcinoma that develops in men in Western countries. Up to 30% of patients continue to suffer from disease progression following radical prostatectomy. Therefore, better prognostic markers and molecular targets for cancer treatment are needed. MicroRNA (miRNA) has the potential to be used as biomarkers and as a therapeutic target for the treatment of various cancers, including PCa. Here, to determine how miRNA is involved in PCa progression, we investigated the miRNA expression profiles of 3 PCa cell lines, namely PC3, DU145, and LNCaP, and 2 normal prostate cell lines, namely RWPE-1 and PrSc, using miRNA microarrays.
2013-09-01 | GSE40026 | GEO
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.
2015-07-27 | GSE64318 | GEO
Project description:miRNA expression profiling of prostate cancer (PCa) and normal prostatic samples
| PRJNA257727 | ENA