Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Functionally Active Copy Number Variants Associated with Prostate Cancer Risk

ABSTRACT:

Prostate cancer is a leading cause of cancer death in males throughout the world and has the largest estimated effect of heritability among the most common tumor types. Copy Number Variants (CNVs) are a recently recognized class of human germline polymorphisms (Iafrate AJ, et al. (2004) Nat Genet 36, 949-951; Sebat J, et al. (2004) Science 305, 525-528.) and are associated with a variety of human diseases, including cancer. This study characterized 1,903 individuals from the Tyrol Early Prostate Cancer Detection Program (Bartsch G, et al. (2008) BJU Int 101, 809-816) using a computational framework (Banerjee S, et al. (2011) PLoS One 29;6(3)). The study results establish non-coding and coding germline CNVs as significant risk factors for prostate cancer susceptibility and implicate their role in disease development and progression. The study "Identification of functionally active, low frequency copy number variants at 15q21.3 and 12q21.31 associated with prostate cancer risk," Demichelis F, Setlur SR, Proc Natl Acad Sci U S A. 2012 Apr 24;109(17):6686-91.

PROVIDER: phs000487 | dbGaP |

SECONDARY ACCESSION(S): PRJNA157931PRJNA157935

REPOSITORIES: dbGaP

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	README.txt	Txt
	phs000487.ProstateCancer_ActiveCNV.analysis-PI.MULTI.tar.gz	Other
	phs000487.pha003578.txt.gz	Txt
	phs000487.pha003579.txt.gz	Txt
	GapExchange_phs000487.v1.p1.xml	Xml

Items per page:

1 - 5 of 34

Similar Datasets

Functionally Active Copy Number Variants Associated with Prostate Cancer Risk

Project description:<p>Prostate cancer is a leading cause of cancer death in males throughout the world and has the largest estimated effect of heritability among the most common tumor types. Copy Number Variants (CNVs) are a recently recognized class of human germline polymorphisms (Iafrate AJ, et al. (2004) Nat Genet 36, 949-951; Sebat J, et al. (2004) Science 305, 525-528.) and are associated with a variety of human diseases, including cancer. This study characterized 1,903 individuals from the Tyrol Early Prostate Cancer Detection Program (Bartsch G, et al. (2008) BJU Int 101, 809-816) using a computational framework (Banerjee S, et al. (2011) PLoS One 29;6(3)). The study results establish non-coding and coding germline CNVs as significant risk factors for prostate cancer susceptibility and implicate their role in disease development and progression. The study "Identification of functionally active, low frequency copy number variants at 15q21.3 and 12q21.31 associated with prostate cancer risk," Demichelis F, Setlur SR, Proc Natl Acad Sci U S A. 2012 Apr 24;109(17):6686-91.</p>

| phs000487.v1.p1 | EGA

Differentiated mouse podocytes (SVI)

Project description:Transcriptomes of differentiated cells of the conditionally immortalized mouse podocyte cell line SVI (Schiwek et al., Kidney Int. 66: 91-101, 2004) were determined as described in Kabgani et al. (PLoS One 7:e34907, 2012). The transcriptomes of the podocyte cell line were mapped on a protein-protein interaction network of the podocyte (PodNet). Together with other transcriptomes taken from GEO, we analyzed differential gene regulation and differential regulation of protein-protein interactions between cultured podocytes and differentiated in vivo podocytes.

2012-10-16 | GSE41523 | GEO

Gene expression signature of EGR3 silencing in M12 human prostate cancer cells

Project description:EGR3 expression is upregulated in human prostate cancer compared to normal prostate tissue and is associated with absence of relapse, while low EGR3 expression in tumors is predicitive of disease relapse (Pio et al., PLOS One 2013; 8(1):e54096). However the function of EGR3 in prostate cancer is unknown. Human prostate cancer cells M12 containing high levels of EGR3 were used for shRNA-mediated silencing of EGR3. Gene expression analysis of EGR3 knockdown cells reveals a role in inflammation and the existence of a crosstalk with the NFkB pathway.

2013-11-06 | GSE52108 | GEO

Prostate Cancer CGH in a single large family

Project description:For sample information see "High-Density, Genome-Wide Linkage and Gene Copy Number Analyses of a Six-Generation Prostate Cancer Family." by Fitzgerald et al, Cancer Research. Keywords: other

2006-05-18 | GSE2681 | GEO

Gene expression data from prostate cancer samples

Project description:Prostate cancer gene expression profiles were studied in this project. A total RNA from 148 prostate sample with various amount of different cell types were hybridized to Affymetrix U133A arrays. The percentage of different cell types vary considerably among samples and were determined by pathologist. Cell type specific genes can be determined by linear regression using the methods of Stuart et al, PNAS, 2004. Keywords: disease state analysis

2007-06-22 | GSE8218 | GEO

Microarray screening of RNA samples from low-, intermediate- and high-passage human prostate LNCaP cells

Project description:This laboratory studies the structures, biosynthesis, and functions of mucin glycans The low-(<33) and high-(>80)passage human prostate LNCaP cells developed by Dr. Ming-Fong Lin (Lin et al, Urology 166:1943, 2001) have been considered as the best in vitro model that reflects the progression of prostate cancer from androgen-dependent to androgen-independent stage (Parajuli et al, Cancer Res. 61:8227, 2001; Demeade et al, The Prostate 54:249, 2003; Unni et al, Cancer Res. 64:7156, 2004). The high-passage cells are metastatic while the low-passage cells are not. RT-PCR analysis of these two cell clones for 25 glycogenes among 8 different groups of glycogenes showed that only high-passage cells expressed two (isozymes 1 and 5) of the five known GlcNAc6ST genes. In addition, P-selectin blot analysis showed qualitative and quantitative differences between these clones. They included 3 higher intensity bands and 3 lower intensity bands in high-passage cells as compared to low-passage cells. The difference in P-selectin-specific glycoconjugates between low and high-passage LNCaP cells should help identify the glycans that distinguish high- from low-passage LNCaP cells.

2011-04-29 | GSE28927 | GEO

Mycobacterium tuberculosis

Project description:PLOS (Rowneki et al) Mtb Genome sequencing and assembly

| PRJNA608715 | ENA

Copy number variations in mouse mammary tumours driven by mutant Pik3ca^H1047R expression

Project description:Profiling of mouse mammary tumours that have developed in a mouse model expressing mutant Pik3ca^H1047R at endogenous level under control of the MMTV promoter (Tikoo et al., PLoS one 2012). Copy number variations in tumours (compared to matching liver DNA) were detected using Agilent Sureprint microarrays.

2016-06-04 | GSE47635 | GEO

Expression and differential expression analysis of breast cancer patient samples and normal samples

Project description:Expression and differential expression analysis of breast cancer patient samples and normal samples from breast reduction operations. Fresh frozen tumor biopsies from early breast cancer cases were collected from 920 patients included in the Oslo Micrometastasis (MicMa) Study -- Oslo I from various hospitals between 1995 and 1998 (Naume et al. "Presence of bone marrow micrometastasis is associated with different recurrence risk within molecular subtypes of breast cancer." Mol Oncol 2007, 1: 160-171; Wiedswang et al. "Detection of isolated tumor cells in bone marrow is an independent prognostic factor in breast cancer." J Clin Oncol 2003, 21: 3469-3478.). Breast tissue samples from breast reduction operations were provided from the Colosseum Clinic, Oslo in co-operation with Akershus University Hospital, Lørenskog and are referred to as normal tissue. Expression and differential expression was assessed by using an Agilent custom microarray (244K, nONCOchip). The custom array contains probes for genomic regions that have been found to be differentially expressed (i) throughout cell cycle progression, (ii) in response to the anti-proliferative and pro-apoptotic p53 pathway, and (iii) the anti-apoptotic and pro-proliferative STAT-3 pathway by employing TAS (Kampa et al. "Novel RNAs identified from an in-depth analysis of the transcriptome of human chromosomes 21 and 22". Genome Research, 14:331-42, 2004). In addition, the Agilent custom array (244K) interrogates probes for genomic regions predicted to contain a conserved secondary structure identified by RNAz (Washietl et al. "Fast and reliable prediction of noncoding RNAs." Proc Natl Acad Sci USA. 102:2454-9, 2005.) or Evofold (Pedersen et al. "Identification and classification of conserved RNA secondary structures in the human genome." PLoS Comput Biol. 2:e33, 2006.), as well as known non-coding RNAs from public databases, and the Agilent mRNA probe set 014850.

2015-01-23 | GSE50428 | GEO

Batrachochytrium dendrobatidis

Project description:DNAseq of Batrachochytrium dendrobatidis (Farrer et al PLoS Genet 2013)

| PRJNA174849 | ENA