Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

DNA methylation-based classification of common renal tumors

ABSTRACT: In present work one of our main objectives was to collect enough DNA methylation profiles of diverse tumor types in renal cancer. So, we used a collection of newly processed samples on DNA methylation data to have a variety of diverse kidney tumors from various sources. We processed a subset of samples (n=156) profiled as a part of our routine clinical methylation testing for kidney cancer at NIH. We collected one subset of samples (n =173) from our collaborators at UCSF and another subset of samples (n=82) from NYU.

ORGANISM(S): Homo sapiens

PROVIDER: GSE253101 | GEO | 2024/02/15

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Genome-wide DNA methylation profiling of prostate specimens from a clinical trial of genistein supplementation prior to prostatectomy.

Project description:To identify molecular effects of genistein on DNA methylation in prostate cancer, we compared DNA methylation profiles of genistein-treated tumors with placebo-treated samples. There were 156 probes with significantly increased methylation in placebo-treated cases versus normal tissues that were not significant between genistein-treated cases and normal tissues, suggesting that genistein may have had some demethylation effects. These 156 probes corresponded to at least 92 separate genes including ADCY4, ALOX12, HAAO, LRRC4, NEU1, RAPGEFL1, and WNT7B.These findings highlight the effects of genistein on global changes in DNA methylation in prostate cancer and its effects on molecular pathways involved in prostate tumorigenesis.

2017-06-23 | GSE84749 | GEO

Spatial Visium FFPE Samples

Project description:Human Formalin fixed paraffin embedded Samples collected from Donated kidney samples, processed for cortex specific sections

2024-01-05 | GSE232431 | GEO

Epigenome-Wide Methylation Profile in Normal Human Kidney: Sex, Age, and Ethnic Differences

Project description:Epienome-wide DNA methylation profiling of normal human kidney tissue samples. The Illumina HumanMethylation450K Beadchip was used to obtain DNA methylation profiles across approximately 450,000 CpGs in normal human kidney samples. Samples included 15 male and 16 female normal human kidney samples tissue.

2017-03-10 | GSE79100 | GEO

IDH1 mutation defines methylation class and survival in human glioma

Project description:Astrocytoma, oligodendroglioma, oligoastrocytoma, and ependymoma are the main histologic subtypes of glioma. The molecular character of these subtypes has profound implications for understanding their causes and treatment. We describe the epigenetic landscape of these tumor types using novel DNA methylation profiling tools. There is a robust association of methylation profile with tumor histology and IDH1 mutation status. Furthermore, tumors with IDH1 mutation independently predict a tumor hypermethylator phenotype, histology, TP53 mutation status, patient age, and survival. Integrating tumor epigenetic and genetic alterations, this work provides a critical step toward better defining the somatic nature of glioma which will have great potential to impact clinical approaches to disease. This work provides an important step forward in classification of malignant brain tumors using DNA methylation profiling, integrating knowledge regarding IDH1 mutation in gliomas. The epigenetic homogeneity of the IDH1 mutant subclass despite histologic diversity implies that IDH1 mutation is a “driver” or functional determinant of a distinct DNA methylation phenotype, suggesting a novel role for an altered metabolic profile in the brain. This association occurs across histologic subtypes and demonstrates a clear relationship between genetic alteration and epigenetic profile. Fresh frozen tumor tissues were obtained from the University of California San Francisco (UCSF) Brain Tumor Research Center tissue bank with appropriate institutional review board approval. Tumors were diagnosed between 1990 and 2003. Tumor samples were defined as secondary GBM if the patients had prior histological diagnosis of a low-grade glioma. Tumors had previously been reviewed by UCSF neuropathologists to assign histologic subtype and grade. Normal brain tissue samples were from cancer-free patients who underwent temporal lobe resection as treatment for epilepsy at UCSF.

2010-12-20 | E-GEOD-20395 | biostudies-arrayexpress

Epigenome analysis of clear cell renal cell carcinoma (ccRCC) tissue versus matched normal kidney tissue

Project description:Genome wide DNA methylation profiling of clear cell renal cell carcinoma (ccRCC) tissue versus matched normal kidney tissue. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 450,000 CpGs in tumor and adjacent normal kidney tissue samples from ccRCC patients. Samples included 46 paired fresh frozen ccRCC tumor and adjacent normal kidney tissues.

2015-10-26 | GSE61441 | GEO

DNA Methylation Dynamics in Urological Tumors

Project description:Genome wide DNA methylation profiling of normal and tumoral urological tissues (Prostate, Kidney and Bladder). The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 27,000 CpGs in urological fresh frozzen tissue samples. Samples included morphologically normal samples of each tissue and tumor samples. Kidney: 6 normal and 17 tumor samples; Bladder: 5 normal and 25 tumor samples; Prostate: 5 Normal and 25 tumor samples.

2017-03-09 | GSE52955 | GEO

DNA methylation profiling of genomic DNA isolated from urine in Diabetic Chronic-Kidney Disease: a pilot study

Project description:Genome wide DNA methylation profiling of urine and blood samples from patients with diabetic chronic kidney disease. The Illumina Infinium MethylationEPIC BeadChip kit was used to obtain DNA methylation profiles across approximately 850,000 CpGs. Samples included two urine and four buffy coat samples from adults with diabetic chronic kidney disease.

2017-11-16 | GSE106902 | GEO

Human kidney proteomics, glomerular and tubular cellular and matrix fractions

Project description:kidney samples: 15, 29, 37, 61, 67 and 69 years of age. The glomerular and tubulointerstitial samples were processed to enrich for extracellular matrix components and the fractions analysed by mass spectrometry.

2021-10-13 | PXD026002 | Pride

DNA methylation analysis of Rhabdoid tumor of the kidney, Clear cell sarcoma of the kidney and Ewing's sarcoma family of tumors

Project description:Genome wide DNA methylation profiling of Rhabdoid tumor of the kidney, Clear cell sarcoma of the kidney, Ewing's sarcoma family of tumors and non-neoplastic kidney. The Illumina Infinium HumanMethylation 27 BeadChip was used to obtain DNA methylation profiles across approximately 27000 CpGs . Samples included 3 Rhabdoid tumor of the kidney, 3 Clear cell sarcoma of the kidney, 3 Ewing's sarcoma family of tumor and 3 non-neoplastic kidney.

2015-06-12 | GSE44847 | GEO

Human kidney proteomics, glomerular and tubular cellular and matrix fractions

Project description:Glomerular and tubulointerstitial fractions were enriched from human kidneys samples. Ages of human kidney samples: 15, 29, 37, 61, 67 and 69 years of age. The glomerular and tubulointerstitial samples were processed to enrich for extracellular matrix components and the fractions analysed by mass spectrometry.

2022-02-22 | PXD022219 | Pride

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