Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Detection of tetraploidization in chromophobe renal cell carcinoma: insights and pitfalls [Affymetrix OncoScan_CNV]

ABSTRACT: Detection of tetraploidization in chromophobe renal cell carcinoma: insights and pitfalls [Affymetrix OncoScan_CNV]

PROVIDER: PRJNA589571 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Detection of tetraploidization in chromophobe renal cell carcinoma: insights and pitfalls [Agilent CGH]

Project description:Detection of tetraploidization in chromophobe renal cell carcinoma: insights and pitfalls [Agilent CGH]

| PRJNA542892 | ENA

Detection of tetraploidization in chromophobe renal cell carcinoma: insights and pitfalls [Agilent CGH]

Project description:Detection of tetraploidization in chromophobe renal cell carcinoma.

2019-05-15 | GSE131200 | GEO

Detection of tetraploidization in chromophobe renal cell carcinoma: insights and pitfalls [Affymetrix OncoScan_CNV]

Project description:Chromophobic renal cell carcinomas (chRCC) typically have a hypodiploid genome, including a loss of chromosomes 1, 2, 6, 10, 13, 17 and 21, but few cases in the literature showed a gain of many chromosomes, suggesting a tetraploidy. The detection of this characteristic performed by comparative genomic hybridization (CGH-array), is very helpful for the diagnosis. To better characterize the phenomenon of tetraploidization and to explore the consequence and the difficulties of its detection, we studied a subset of 26 chRCC, including five cases of tetraploid chRCC, for which complementary analyses were performed. Our main objective was to determine whether these four cases displayed chromosomal losses typical of chRCC whitin a near-polyploid genome instead within a near-diploid one. We discuss the hazards and limitations of different molecular methods in the detection of polyploidization and its potential clinical consequences. In our study we show that this phenomenon of tetraploidization affects about 19% of chRCC and that is probably overlooked using standard molecular methods. The potential clinical consequences of this phenomenon are not identified yet.

2019-11-15 | GSE140390 | GEO

Proteome profilling of chromophobe renal cell carcinomas

Project description:LC-MS/MS based proteomics study of chromophobe renal cell carcinomas versus the adjacent healthy kidney tissues, nine patients included. The chromophobe renal cell carcinoma cells (UOK276) under different conditions were also analyzed.

2020-07-23 | PXD019123 | Pride

Chromophobe renal cell carcinoma versus renal oncocytoma: a proteomic approach

Project description:The proteome of clinical tissue samples diagnosed with chromophobe renal cell carcinomas (chRCC) and renal oncocytomas (RO) were evaluated to establish a potential discriminative biomarker panel of proteins for these two tumors subtypes.

2024-01-26 | PXD022018 | Pride

microRNA profiling in renal cell carcinoma subtypes

Project description:Renal cell carcinoma is the most common neoplasm of the adult kidney. A few subtypes of RCC include papillary RCC (pRCC), chromophobe RCC (chRCC) and the benign oncocytoma tumor. In some cases, distinguishing between the RCC subyptes is difficult. We performed a mircroRNA (miRNA) microarray to determine differential miRNA expression between pRCC, chRCC, and oncocytoma. We performed a miRNA microarray on 10 tumor samples of each papillary renal cell carcinoma (pRCC), chromophobe renal cell carcinoma (chRCC), and oncocytoma.

2012-08-13 | E-GEOD-39790 | biostudies-arrayexpress

Genotyping and copy number analysis of human renal epithelial neoplasms

Project description:Renal tumors with complex morphology require extensive workup for accurate classification. Chromosomal aberrations that define subtypes of renal epithelial neoplasms have been reported. We explored if whole-genome chromosome copy number and loss-of-heterozygosity analysis with single nucleotide polymorphism (SNP) arrays can be used to identify these aberrations. Experiment Overall Design: We analyzed 20 paraffin-embedded tissues representing conventional renal cell carcinoma (RCC), papillary RCC, chromophobe RCC, and oncocytoma with Affymetrix GeneChip 10K 2.0 Mapping arrays.

2008-04-10 | E-GEOD-9469 | biostudies-arrayexpress

proteome profilling of chromophobe renal cell carcinomas

Project description:LC-MS/MS based proteomics study of chromophobe renal cell carcinomas versus the adjacent healthy kidney tissues, ten patients included.

2022-03-03 | PXD010391 | Pride

Gene Expression Profiling Separates Chromophobe Renal Cell Carcinoma from Oncocytoma

Project description:This study aims to compare gene expression profiles of chromophobe renal cell carcinoma (RCC) and benign oncocytoma, aiming at identifying differentially expressed genes.

2008-07-12 | GSE12090 | GEO

Transcription profiling of chromophobe renal cell carcinoma and oncocytoma samples

Project description:[original title] Genomic expression and single-nucleotide polymorphism profiling discriminates chromophobe renal cell carcinoma and oncocytoma. Background : Chromophobe renal cell carcinoma (chRCC) and renal oncocytoma are two distinct but closely related entities with strong morphologic and genetic similarities. While chRCC is a malignant tumor, oncocytoma is usually regarded as a benign entity. The overlapping characteristics are best explained by a common cellular origin, and the biologic differences between chRCC and oncocytoma are therefore of considerable interest in terms of carcinogenesis, diagnosis and clinical management. Previous studies have been relatively limited in terms of examining the differences between oncocytoma and chromophobe RCC. Methods : Gene expression profiling using the Affymetrix HGU133Plus2 platform was applied on chRCC (n=15) and oncocytoma specimens (n=15). Supervised analysis was applied to identify a discriminatory gene signature, as well as differentially expressed genes. Immunohistochemical validation was performed in an independent set of tumors. Results : A novel 14 probe-set signature was developed to classify the tumors internally with 93% accuracy, and this was successfully validated on an external data-set with 94% accuracy. Parafibromin, aquaporin 6, and synaptogyrin 3 were novel immunohistochemical markers effectively discriminating the two pathologic entities. Conclusion : Gene expression profiles and pathway analysis effectively distinguish chRCC from oncocytoma. We have generated a novel transcript predictor that is able to discriminate between the two entities accurately, and which has been validated both in an internal and an independent data-set, implying generalizability. We have identified a series of immunohistochemical markers that are clinically useful in discriminating chRCC and oncocytoma. 30 mRNA profiling samples (15 chromophobe RCC, 15 oncocytoma)

2010-07-08 | E-GEOD-19982 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data