Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA211883 | ENA |
REPOSITORIES: ENA
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Project description:Currently, comprehensive and quantitative proteomic analysis of human prostate cancer tissue specimens remains scarce, hindering the identification of protein complexes and pathways deregulated in prostate cancer. In this study, we applied TMT-SPS-MS3-based quantitative proteomics to analzye 9 normal controls, 9 low-grade prostate cancer, and 9 high-grade prostate cancer. About 3,600 proteins were quantified across all the 27 prostate specimens. Statistical analysis identified 651 proteins that are differentially expressed in high-grade prostate cancer and normal prostate. Pathway enrichment analysis revealed that the LXR/RXR activation and integrin signaling pathways are substantially downregulated in high-grade prostate cancer, compared with normal prostate cancer. In addition, protein complex analysis suggested that mitochondrial ribosomes and ribosome-biogenesis complexes are significnatly overexpressed, whereas the cholesterol effluex and focal adhesion comlexes are significantly downregulated in high-grade prostate cancer, compared with normal controls. Furthermore, differential correlation analysis indicated that the spliceosome machinery might be more active in low-grade prostate cancer, compared with normal controls. The results are expected to shed light on the molecular mechnanisms underlying the development and progression of primary prostate cancer in human patients.
2019-04-23 | PXD010744 | Pride
Project description:We identified a novel molecular target and diagnostic biomarker, SHISA2, as an overexpressed gene in high-grade prostate cancer (PC) cells. To understand the association of SHISA2 overexpression with the aggressiveness of high-grade PC, we performed gene expression analysis using a cDNA microarray.
2013-09-13 | GSE48833 | GEO
Project description:Expression data from High-grade prostate cancer cells
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Project description:We identified a novel molecular target and diagnostic biomarker, SHISA2, as an overexpressed gene in high-grade prostate cancer (PC) cells. To understand the association of SHISA2 overexpression with the aggressiveness of high-grade PC, we performed gene expression analysis using a cDNA microarray. Gene expression patterns of PC-3 cells transfected with the two shRNA expression vectors (siSHISA2 and siCONTROL) were compared.
2013-09-13 | E-GEOD-48833 | biostudies-arrayexpress
Project description:The protein Glycine-N-Acyltransferase Like 1 (GLYATL1) is involved in detoxification of benzoate and other xenobiotics and is expressed in liver and kidney. Through In silico analysis of cancer gene expression profiling and transcriptome sequencing we revealed an overexpression of GLYATL1 in primary prostate cancer. Confirming these findings by immunohistochemistry we show that GLYATL1 is overexpressed in primary prostate cancer compared to metastatic prostate cancer and benign prostatic tissue. Low grade cancers had higher GLYATL1 expression compared to high grade prostate tumors. Our studies showed that GLYATL1 is upregulated upon androgen treatment in LNCaP prostate cancer cells which harbors ETV1 gene rearrangement. Furthermore, ETV1 knockdown in LNCaP cells showed downregulation of GLYATL1 suggesting potential regulation of GLYATL1 by ETS transcription factor ETV1. Transcriptome sequencing using the GLYATL1 knockdown prostate cancer cell lines LNCaP showed regulation of multiple metabolic pathways. In summary, our study characterizes the expression GLYATL1 in prostate cancer and explore its regulation mechanism. Future studies are needed to decipher the biological significance of these findings.
2019-12-17 | GSE130395 | GEO
Project description:To identify molecules to serve as diagnostic markers for high-grade prostate cancer (PC) and targets for novel therapeutic drugs, we investigated the gene expression profiles of high-grade PCs using a cDNA microarray combined with laser microbeam microdissection. For this study, we collected 10 frozen specimens from high-grade PCs with high PSA levels and high Gleason score (GS) in clinically using prostatic needle biopsy. All needle biopsy specimens were at clinical stages T2 to T4 with or without N1 and M1 and their GS were 8-9. Moreover, all 10 patients had not received androgen ablation therapy. Simultaneously, normal prostate (NP) epithelial cells were also microdissected from five non-prostate cancer (BPH) patients. These NP cells from five males were used as a normal mixture control for our cDNA microarray analysis.
2013-03-12 | E-GEOD-45016 | biostudies-arrayexpress
Project description:Effects of clorgyline, a monoamine oxidase A inhibitor, on high grade prostate cancer cells
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Project description:In order to identify methylation changes in prostate cancer, we performed a genome-wide analysis of DNA methylation using Agilent human CpG island arrays. We then chose specific genes to validate methylation both in the same cases as were hybridized to the array (using quantitative EpiTYPER analysis) and in an independent series of prostate cancer samples (using MethyLight quantitative methylation specific PCR). We specifically chose low grade (Gleason score 6 cases) and high grade (Gleason score 8 cases) to discover methylated genes/loci that may be involved in the progression to a higher grade of prostate cancer.
2009-03-27 | GSE15298 | GEO
Project description:Analysis of the transcriptome of mouse models of prostate cancer to assemble a mouse prostate cancer interactome. To assemble the mouse prostate cancer interactome, we collected 13 distinct mice or genetically-engineered mouse models (GEMMs), which together represent the full spectrum of prostate cancer phenotypes including: normal epithelium (i.e., wild-type), low-grade PIN (i.e., Nkx3.1 and APT), high-grade PIN and adenocarcinoma (i.e., APT-P; APC; Myc; NP; Erg-P; and NP53), castration-resistant prostate cancer (i.e., NP-AI), and metastatic prostate cancer (i.e., NPB; NPK; and TRAMP). To further enhance the heterogeneity afforded by this diversity of mouse models, we pharmacologically perturbed each GEMM using 13 different drugs (or appropriate vehicle). The resulting mouse prostate tissue/tumor dataset encompassed 384 expression profiles Total RNA obtained from prostate tumors/tissues of 13 mouse models of prostate cancer treated with 13 different drugs for 5 consecutive days. Prostate tumors/tissues were harvested and processed for RNA isolation and transcriptome analysis.
2014-05-12 | E-GEOD-53202 | biostudies-arrayexpress
Project description:Many human cancers present as multi-focal lesions. Understanding the clonal origin of multi-focal cancers is of both etiological and clinical importance. The molecular basis of multi-focal prostate cancer has previously been explored using only a limited number of isolated markers and, although independent origin is widely believed, the clonal origin of multi-focal prostate cancer is still debatable. We attempted to address clonal origin using a genome-wide copy-number analysis of individual cancer and high-grade prostatic intraepithelial neoplasia (HGPIN) lesions. Using Affymetrix array 6.0 copy-number analysis, we compared the genomic changes detected in 54 individual cancer and HGPIN lesions, isolated from 20 clinically localized prostate cancer cases. Identical genomic copy-number changes, shared by all same-case cancer foci, were detected in all 16 informative multi-tumor cases. In addition, both HGPIN lesions in the two multi-HGPIN cases available shared identical genomic changes. Commonly known genomic alterations, including losses at 6q15, 8p21.3-8p21.2, 10q23.2-10q23.31, 13q21.31-13q21.32, 16q22.3, 16q23.2-16q23.3 and 21q22.2-21q22.3 regions and gain of 8q24.3 were the most frequently detected changes in this multi-focal prostate cancer study, occurring in all same-case foci in at least one case. Microarray data were confirmed by fluorescence in situ hybridization in selected foci. Our high-resolution genome-wide copy-number data suggest that many multi-focal cases derive from a single prostate cancer precursor clone and that this precursor may give rise to separate HGPIN foci, which through clonal expansion may progress to multi-focal invasive prostate cancer. These findings, which demonstrate the monoclonal origin of multi-focal prostate cancer, should significantly enhance our understanding of prostate carcinogenesis and potentially improve clinical management of the disease. Copy number analysis of Affymetrix SNP 6.0 array was performed for a total of 48 cancer and HGPIN lesions from 18 prostate cancer cases. All samples have case-matched normal controls. PL = high grade PIN from left side, PR = high grade PIN from right side, PM = high grade PIN from middle of the tissue, TL = tumour from left side, TR = tumour from right side.
2011-12-31 | E-GEOD-29569 | biostudies-arrayexpress