Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Renal cells Carcinoma (RCC) Genome variation profiling by genome tiling array with Agilent CGH array

ABSTRACT: Papillary renal cell carcinoma (pRCC) is the second most frequent renal cell carcinomas (RCC) after clear cell RCC. In contrast to clear cell RCC, there is no consensual protocol using targeted therapy for metastatic pRCC. Moreover, diagnosis of some pRCC, especially pRCC of type 2 (pRCC2) may be challenging. Our aim was to identify molecular biomarkers that could be helpful for the diagnosis and treatment of pRCC.

ORGANISM(S): Homo sapiens

PROVIDER: GSE63000 | GEO | 2014/11/06

SECONDARY ACCESSION(S): PRJNA266413

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Renal cells Carcinoma (RCC) Genome variation profiling by genome tiling array with Nimblegen CGX6 platform

Project description:Papillary renal cell carcinoma (pRCC) is the second most frequent renal cell carcinomas (RCC) after clear cell RCC. In contrast to clear cell RCC, there is no consensual protocol using targeted therapy for metastatic pRCC. Moreover, diagnosis of some pRCC, especially pRCC of type 2 (pRCC2) may be challenging. Our aim was to identify molecular biomarkers that could be helpful for the diagnosis and treatment of pRCC.

2014-11-06 | GSE63001 | GEO

Renal cells Carcinoma (RCC) Genome variation profiling by genome tiling array with Perkin Elmer Constituionnal Chip platform

2014-11-06 | GSE63002 | GEO

Renal cells Carcinoma (RCC) Genome variation profiling by genome tiling array with Agilent CGH array

2014-11-06 | E-GEOD-63000 | biostudies-arrayexpress

Identification of RCC subtype-specific microRNAs – meta-analysis of high-throughput RCC tumor microRNA expression data [RNA-Seq]

Project description:Renal cell carcinoma (RCC) is one of the most common cancers worldwide with nearly non-symptomatic course till advanced stage of disease. RCC can be distinguished into three subtypes: papillary (pRCC), chromophobe (chRCC) and clear cell renal cell carcinoma (ccRCC) representing up to 75% of all RCC cases. Detection and RCC monitoring tools are limited to standard imaging techniques, in combination with non-RCC specific morphological and biochemical read-outs. RCC subtype identification relays mainly on results of pathological examination of tumor slides. Molecular, clinically applicable and ideally non-invasive tools aiding RCC management are still non-existent, although molecular characterization of RCC is relatively advanced. Hence many research efforts concentrate on identification of molecular markers that will assist with RCC sub-classification and monitoring. Due to stability and tissue-specificity miRNAs are promising candidates for such biomarkers. Here we performed a meta-analysis study, utilized seven available NGS and seven microarray RCC studies in order to identify subtype-specific expression of miRNAs. We concentrated on four potentially oncocytoma-specific miRNAs (miRNA-424-5p, miRNA-146b-5p, miRNA-183-5p, miRNA-218-5p), two pRCC (miRNA-127-3p, miRNA-139-5p) and eight ccRCC specific miRNAs (miRNA-200c-3p, miRNA-362-5p, miRNA-363-3p and miRNA-204-5p, 21-5p, miRNA-224-5p, miRNA-155-5p, miRNA-210-3p) and validated their expression in an independent sample set. Additionally, we found ccRCC-specific miRNAs to be differentially expressed in ccRCC Fuhrman grades and identified alterations in their isoform composition in tumor tissue. Our results revealed that changes in expression of selected miRNA might be potentially utilized as a tool aiding ccRCC subclass discrimination and propose a miRNA panel aiding RCC subtype distinction.

2021-02-01 | GSE151419 | GEO

Identification of RCC subtype-specific microRNAs – meta-analysis of high-throughput RCC tumor microRNA expression data [miRNA-Seq]

2021-02-01 | GSE151423 | GEO

miRNA expression of Tubulocystic Renal Cell Carcinoma (TC-RCC) cases

Project description:Eleven TC-RCC cases were selected on the basis of the criteria defined by the 2012 Vancouver Classification of Renal Neoplasia and WHO 2016 classification criteria, and re-reviewed by a panel of expert renal pathologists. Two of these cases, TC-RCC#9 and #10, had a mixed tubulocystic and papillary histology and were macro-dissected into separate PRCC and TC-RCC components. The molecular basis of TC-RCC, and miRNA expression profile, is unknown. We therefore used Affymetrix miRNA v.2. arrays to elucidate the expression of these samples

2017-07-19 | GSE101563 | GEO

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

Somatic Mutation Screen of Clear Cell RCC

Project description:This SuperSeries is composed of the following subset Series: GSE17816: Somatic Mutation Screen of Clear Cell RCC I GSE17818: Somatic Mutation Screen of Clear Cell RCC II Systematic somatic mutation screening of 4000 genes in human clear cell renal cell carcinoma. Information on corresponding somatic mutations in each sample can be found at http://www.sanger.ac.uk/genetics/CGP/Studies/.

2010-05-16 | E-GEOD-17895 | biostudies-arrayexpress

Gene expression of papillary renal neoplasm with reverse polarity (PRNRP) cases + PRCC cases

Project description:Between 80% and 90% of renal carcinomas are either clear cell renal cell carcinoma or papillary RCC although there are at least 20 other distinct forms of RCC recognised by the World Health Organization (WHO). Emerging or provisional entities have been considered as variants of PRCC, including papillary renal neoplasm with reversed polarity (PRNRP). However, the molecular basis of PRNRP is unknown. We used microarray analysis to elucidate the gene profile of 10 PRNRP cases and an additional 7 PRCC cases. Cases were only considered for this study after fulfilment of strict inclusive histological and immunohistochemical criteria. We used Affymetrix Clariom D human arrays to elucidate the expression of these samples.

2024-02-18 | GSE255706 | GEO

PBRM1 Knockdown in RCC Cell Lines

Project description:PBRM1 was found to be mutated in a high percentage of clear cell RCCs. We performed knockdown of PBRM1 via siRNA and compared with scrambled control in three different RCC cell lines. PBRM1 siRNA and mock treated cell lines were normalized together with 'hypoxic' clear cell renal tumors and normal renal tissue samples from GSE17818.

2011-01-20 | E-GEOD-22316 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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