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Links from GEO DataSets

Items: 20

1.

Genome-wide analysis of gene expression patterns in human kidney cancer

(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
Series
Accession:
GSE66272
ID:
200066272
2.

Genome-wide analysis of gene expression patterns in human kidney cancer [patients with metastasis]

(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
Series
Accession:
GSE66271
ID:
200066271
3.

Genome-wide analysis of gene expression patterns in human kidney cancer [patients without metastasis]

(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
Series
Accession:
GSE66270
ID:
200066270
4.

Identification of target genes of cancer-related microRNAs in human cancer

(Submitter supplied) To identify target genes of cancer-related microRNAs in human cancer, several cell lines (bladder cancer, prostate cancer, renal cell carcinoma, esophageal squamous cell carcinoma, and head and neck squamous cell carcinoma) were subjected to Agilent whole genome microarrays.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platforms:
GPL13607 GPL10332
35 Samples
Download data: TXT
Series
Accession:
GSE37119
ID:
200037119
5.

Differentially expressed genes after miRNA or siRNA transfection in multiple human cancer cell lines

(Submitter supplied) To identify differentially expressed genes by anti cancer treatments (microRNAs or siRNAs) in human cancer, several cell lines ( pancreatic cancer, renal cell carcinoma, oral squamous cell carcinoma, prostate cancer and bladder cancer) were subjected to Agilent whole genome microarrays.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL20844
16 Samples
Download data: TXT
Series
Accession:
GSE106791
ID:
200106791
6.

Global and targeted microRNA expression profiling in clear cell renal cell carcinoma tissues potentially links miR-155-5p and miR-210-3p to both tumorigenesis and recurrence [discovery phase]

(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
Series
Accession:
GSE116251
ID:
200116251
7.

microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease

(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
Series
Accession:
GSE131961
ID:
200131961
8.

microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease [validation]

(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:
Homo sapiens; synthetic construct
Type:
Expression profiling by RT-PCR
Platform:
GPL17107
53 Samples
Download data: TXT
Series
Accession:
GSE131960
ID:
200131960
9.

microRNA Profile in Stage I Clear Cell Renal Cell Carcinoma Predicts Progression to Metastatic Disease [screen]

(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:
Homo sapiens; synthetic construct
Type:
Expression profiling by RT-PCR
Platform:
GPL17107
20 Samples
Download data: TXT
Series
Accession:
GSE131959
ID:
200131959
10.

Differentially expressed genes after siRNA transfection in human cancer cell lines (TE1, TE8, 786-O and A498)

(Submitter supplied) To identify differentially expressed genes by anti cancer treatments (miRNA and siRNAs) in human cancer, several cell lines (esophagus cancer and renal cancer) were subjected to Agilent whole genome microarrays.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL20844
8 Samples
Download data: TXT
Series
Accession:
GSE123317
ID:
200123317
11.

microRNA Profiling in Metastatic Renal Cell Carcinoma

(Submitter supplied) We performed a microRNA (miRNA) microarray on 10 metastatic RCC tumors and compared differential miRNA expresison to 19 primary clear cell renal cell carcinomas (ccRCC). We found there were 65 significantly dysregulated miRNAs; 9 miRNAs were significantly upregulated and 56 miRNAs were significantly downregulated in metastatic RCC when compared to primary clear cell renal cell carcinoma.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL10415
5 Samples
Download data: TXT
Series
Accession:
GSE39440
ID:
200039440
12.

Identification of metastamirs as metastasis-associated microRNAs in clear cell renal cell carcinomas

(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
Series
Accession:
GSE37989
ID:
200037989
13.

Differentially expressed genes after miRNA or siRNA transfection in human cancer cell lines (III)

(Submitter supplied) To identify differentially expressed genes by anti cancer treatments (microRNAs or siRNAs) in human cancer, several cell lines (pancreatic cancer, esophageal cancer, tongue squamous cell carcinoma, hypopharyngeal squamous cell carcinoma and lung squamous cell carcinoma) were subjected to Agilent whole genome microarrays.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL20844
16 Samples
Download data: TXT
Series
Accession:
GSE82108
ID:
200082108
14.

Integrated profiling of microRNAs and mRNAs: microRNAs located on Xq27.3 associate with clear cell renal cell carcinoma

(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
Series
Accession:
GSE24952
ID:
200024952
15.

miRNA sequencing of 10 pairs samples between kidney normal tissues and cancer tissue

(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
Series
Accession:
GSE24457
ID:
200024457
16.

Digital gene expression (DGE) sequencing of 10 pairs samples between kidney normal tissue and cancer tissue

(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
Series
Accession:
GSE24455
ID:
200024455
17.

The microRNAs with potential in predicting lung metastasis of triple negative breast cancer

(Submitter supplied) To identify lung metastasis associated microRNAs in triple negative breast cancer (TNBC), we have employed the commercially available Agilent Human miRNA V19.0 Microarray (Platform GPL19730) as a discovery platform. In comparison with LM-Normal, 11 microRNAs significantly altered in both LM-Met and LM-Tumor, and then three of them (hsa-miR-21-3p, hsa-miR-21-5p and hsa-miR-211-3p) were excluded, which were also up-regulated in RF-Tumor. more...
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL18044
20 Samples
Download data: TXT
Series
Accession:
GSE80038
ID:
200080038
18.

Differentially expressed genes after miRNA or siRNA transfection in human cancer cell lines II

(Submitter supplied) To identify differentially expressed genes by anti cancer treatments (microRNAs or siRNAs) in human cancer, several cell lines (pancreatic cancer, esophageal cancer, bladder cancer, prostate cancer, renal cell carcinoma and lung squamous cell carcinoma) were subjected to Agilent whole genome microarrays.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL20844
32 Samples
Download data: TXT, XLSX
Series
Accession:
GSE77790
ID:
200077790
19.

microRNA profiling in renal carcinoma

(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
Series
Accession:
GSE144082
ID:
200144082
20.

Identification of metastasis associated genes in clear cell renal cell carcinoma

(Submitter supplied) This study investigates the genes that promote clear cell renal cell carcimoma (ccRCC) metastasis using 4 primary metastatic and 5 non-metastatic tumor samples. U133 plus 2.0 array was used to identify the diffrently expressed genes between the primary metastatic and non metastatic ccRCC samples
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
9 Samples
Download data: CEL
Series
Accession:
GSE47352
ID:
200047352
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