GEO DataSets

(Submitter supplied) To identify microRNA (miRNA) profiles of small, pathologically confirmed stage 1 clear cell renal cell carcinoma (ccRCC) tumors that could predict progression to metachronous metastatic disease. : Fifty-five pathologic stage 1 ccRCC tumors ≤5cm from two institutions were examined in an initial miRNA screening, followed by a validation study. This investigation identified miRNA biomarkers that may differentiate between non-progressive ccRCC tumors and those that progress to metastatic disease in this group of stage I tumors. more...

Organism:

synthetic construct; Homo sapiens

Type:

Expression profiling by RT-PCR

Platform:

GPL17107

20 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

synthetic construct; Homo sapiens

Type:

Expression profiling by RT-PCR

Platform:

GPL17107

73 Samples

Download data

(Submitter supplied) To identify microRNA (miRNA) profiles of small, pathologically confirmed stage 1 clear cell renal cell carcinoma (ccRCC) tumors that could predict progression to metachronous metastatic disease. : Fifty-five pathologic stage 1 ccRCC tumors ≤5cm from two institutions were examined in an initial miRNA screening, followed by a validation study. This investigation identified miRNA biomarkers that may differentiate between non-progressive ccRCC tumors and those that progress to metastatic disease in this group of stage I tumors. more...

Organism:

synthetic construct; Homo sapiens

Type:

Expression profiling by RT-PCR

Platform:

GPL17107

53 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

54 Samples

Download data: CEL

(Submitter supplied) To investigate the mechanisms of kidney tumor progression and metastasis, we performed expression profiling of human kidney cancer and benign tissues.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

26 Samples

Download data: CEL

(Submitter supplied) To investigate the mechanisms of ccRCC progression and metastasis, we performed expression profiling of human kidney cancer and benign tissues.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

28 Samples

Download data: CEL

(Submitter supplied) About 30% of renal cell carcinoma (RCC) patients undergoing nephrectomy experience disease recurrence. This study aimed to profile microRNAs (miRNAs) that are dysregulated in clear cell RCC (ccRCC) tumor tissues and predictive of recurrence. The expression levels of 800 miRNAs were assessed in paired tumor and normal tissues from a discovery cohort of 18 ccRCC patients via the NanoString assay platform. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL25243

36 Samples

Download data: XLSX

(Submitter supplied) microRNA profiling of colon tumor tissues vs adjacent normal tissues

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL17496

80 Samples

Download data: GPR

(Submitter supplied) Background: Clear cell renal cell carcinomas (ccRCCs) display divergent clinical phenotypes. Up to one third of patients with local disease at diagnosis will progress. Therefore, it is a need to identify patients at risk for recurrence. In the present study, we analyzed genome-wide promoter DNA methylation at diagnosis in relation to clinicopathological parameters, in order to identify DNA methylation profiles associated with risk for progress. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL13534

144 Samples

Download data: TXT

(Submitter supplied) The understanding of metastatic spread is limited and molecular mechanisms causing particular characteristics of metastasis are largely unknown. This comprises the extremely varying dormancy periods of tumor cells in the secondary organ after metastatic spread, represented by the disease-free survival (DFS) of the patients, or differing numbers of metastases in different patients. Knowing the molecular fundamentals of these phenomena would support the individual prediction of patients´ outcome and facilitate the decision for an appropriate monitoring and therapy regime. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

68 Samples

Download data: CEL

(Submitter supplied) Renal cell carcinoma comprises a variety of entities, the most common being the clear-cell, papillary and chromophobe subtypes. These subtypes are related to different clinical evolution; however, most therapies have been developed for clear-cell carcinoma and there is not a specific treatment based on different subtypes. In this study, one hundred and sixty-four paraffin samples from primary nephrectomies for localized tumors were analyzed. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL20907

164 Samples

Download data: TXT

(Submitter supplied) Background/Objective: MicroRNAs (miRNAs) play a pivotal role in cancerogenesis and cancer progression, but their specific role in metastasis of clear cell renal cell carcinomas (ccRCCs) as so-called metastamirs is still limited. Based on microRNA microarray analyses from normal (n=12) and cancerous (n=12) samples of ccRCC specimens and from bone metastases (n=9) of ccRCC patients, we identified a set of 57 differentially expressed microRNAs between those three sample groups of ccRCC. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL9081

40 Samples

Download data: TXT

(Submitter supplied) Clear cell papillary renal cell carcinoma (CCPRCC) is a low-grade renal neoplasm with morphological characteristics mimicking both clear cell renal cell carcinoma (CCRCC) and papillary renal cell carcinoma (PRCC). However, despite some overlapping features, their morphological, immunohistochemical, and molecular profiles are distinct. To better understand the biology of this tumor, we analyze the miRNA expression profiles of a set of CCPRCC by microarrays.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL16770

8 Samples

Download data: TXT

(Submitter supplied) MicroRNAs (miRNAs), non-coding RNAs regulating gene expression, are frequently aberrantly expressed in human cancers. Next-generation deep sequencing technology enables genome-wide expression profiling of known miRNAs and discovery of novel miRNAs at unprecedented quantitative and qualitative accuracy. Deep sequencing was performed on 22 fresh frozen clear cell renal cell carcinoma (ccRCC), 11 non-tumoral renal cortex (NRC) samples and 2 ccRCC cell lines (n=35). more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL10999

35 Samples

Download data: TXT

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing; Non-coding RNA profiling by high throughput sequencing

Platform:

GPL9115

40 Samples

Download data: TXT

(Submitter supplied) we combined their genome-wide profiles of tumors and normal adjacent tissues in 10 ccRCC patients. The results showed that 283 miRNAs were down-regulated and 187 up-regulated, meanwhile 7473 mRNAs were up-regulated and 3439 down-regulated in ccRCC. Expressions of 12 miRNAs and genes were validated in 10 patients we studied by RT-qPCR (validation rate from 60% to 100%). Differentially expressed gene analysis showed the collective change of miR-200 and SLC22A gene family, and pathway analysis revealed down-regulation of multiple metabolic pathways and up-regulation of focal adhesion, ECM-receptor interaction, etc. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by high throughput sequencing

Platform:

GPL9115

20 Samples

Download data: TXT

(Submitter supplied) we combined their genome-wide profiles of tumors and normal adjacent tissues in 10 ccRCC patients. The results showed that 283 miRNAs were down-regulated and 187 up-regulated, meanwhile 7473 mRNAs were up-regulated and 3439 down-regulated in ccRCC. Expressions of 12 miRNAs and genes were validated in 10 patients we studied by RT-qPCR (validation rate from 60% to 100%). Differentially expressed gene analysis showed the collective change of miR-200 and SLC22A gene family, and pathway analysis revealed down-regulation of multiple metabolic pathways and up-regulation of focal adhesion, ECM-receptor interaction, etc. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL9115

20 Samples

Download data: TXT

(Submitter supplied) MicroRNAs (miRNAs) are short single stranded RNAs that are associated with gene regulation at the transcriptional and translational level. Changes in their expression were found in a variety of human cancers. Because of the lack of corresponding data in clear renal cell carcinoma (ccRCC) we have performed genome-wide expression profiling of miRNAs using microarray analysis and quantification of specific miRNAs by TaqMan real-time RT-PCR. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL6955

24 Samples

Download data: TIFF, TXT

(Submitter supplied) Changes in cellular metabolism contribute to the development and progression of tumors, and can render tumors vulnerable to interventions. However, studies of human cancer metabolism remain limited due to technical challenges of detecting and quantifying small molecules, the highly interconnected nature of metabolic pathways, and the lack of designated tools to analyze and integrate metabolomics with other –omics data. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL17303

10 Samples

Download data: TXT

(Submitter supplied) To select signatures of ccRCC, 265 ccRCC samples were obtained from the Van Andel Research Institute. Gene expression profiles of 265 samples were determined using the HG-U133_Plus_2 platform.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

265 Samples

Download data: CEL