Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression profile of localized primary prostate cancer samples and the matched normal tissues

ABSTRACT: To identify new oncogenic drivers in prostate cancer, we performed transcriptome analysis of localized primary prostate cancer samples and the matched normal tissues.

ORGANISM(S): Homo sapiens

PROVIDER: GSE114740 | GEO | 2021/05/01

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Multiregion Sequencing of Localized Prostate Cancer

Project description:Multiregion Sequencing of Localized Prostate Cancer

| PRJNA530801 | ENA

Multiregion Sequencing of Localized Prostate Cancer

Project description:Multiregion Sequencing of Localized Prostate Cancer

| PRJNA412429 | ENA

Epigenomic alterations in localized and advanced prostate cancer

Project description:Here we used Illumina NGS for high-throughput profiling of the DNA methylome in seven human benign prostate tissues, seven human primary prostate cancer and six human castration resistant prostate cancer patient samples. These data were used to profile the CpG cytosine methylation pattern at single base resolution in each sample and to determine differentially methylated cytosines and regions among samples. Enhanced Reduced Representation Bisulfite Sequencing (ERRBS, MspI,150M-bM-^@M-^S400 bp size fractions) of 20 human prostate tissues (benign prostate tissues, localized and metastatic prostate cancer)

2013-07-03 | E-GEOD-41701 | biostudies-arrayexpress

Profiling of prostate tissues in prostate cancer progression

Project description:Samples of benign prostate tissue, localized prostate cancer tissue, and metastatic prostate cancer tissue are profiled to study expression changes in diagnosis and progression of prostate cancer. Each tissue sample is also profiled for metabolomics data Keywords: Cancer Progression 41 samples were analyzed (16 benign prostate tissue, 12 local prostate cancer tissue, 13 metastatic prostate cancer tissue)

2011-03-30 | E-GEOD-8511 | biostudies-arrayexpress

Genomic hallmarks of localized, non-indolent prostate cancer

Project description:Genomic hallmarks of localized, non-indolent prostate cancer

| PRJNA327861 | ENA

Profiling of prostate tissues in prostate cancer progression

2011-03-30 | GSE8511 | GEO

Whole Exome Sequencing of Localized Prostate Cancer Patients

Project description:We performed whole-exome sequencing on localized prostate cancer patients to validate tumor content as part of a single-cell RNA sequencing study of localized prostate cancer patients.

| EGAS00001005685 | EGA

Widespread and Functional RNA Circularization in Localized Prostate Cancer.

Project description:Widespread and Functional RNA Circularization in Localized Prostate Cancer.

| PRJNA450081 | ENA

The Methylome-Genome Interactions in Localized Prostate Cancer Define Disease Aggression

Project description:Localized prostate cancer exhibits profound genomic, pathologic, and clinical heterogeneity, and current clinical prognostic factors do not accurately distinguish aggressive from indolent disease for an individual man. We and others have demonstrated that aberrant DNA methylation may be an important driver of aggressive disease. Herein, we analyze the tumor methylomes of 619 localized prostate cancers and assess the interactions between methylation and somatic tumor genomic profiles. We identify three distinct methylation subtypes, including a hypermethylation subtype which is associated with early biochemical recurrence. DNA methylation and gene copy number status synergistically regulate mRNA abundance, and aberrant methylation is strongly associated with common prostate cancer driver aberrations, including mutation density, and with altered RNA abundance profiles. Finally, we identify a set of multivariate methylation biomarkers that are prognostic of rapid biochemical recurrence. Taken together, our data provide the first comprehensive assessment of the interplay between somatic molecular phenotypes and aberrant DNA methylation in localized, non-indolent prostate cancer, and suggest that integrated genome-epigenome analyses may accurately identify men at risk for adverse clinical outcomes in this patient cohort.

2019-06-30 | GSE107298 | GEO

gene profiles in prostate cancer and normal prostate tissues

Project description:Prostate cancer is one of the most commonly diagnosed cancers among men in the world and the pathogenesis of prostate cancer remains poorly understood. In this study, we intended to disclose genes that might be involved in tumorigenesis using cDNA microarray technology. Keywords: disease state analysis A total of 28 experiments were performed without replicates, using a pool of unrelated fetal tissues as common references. 25 experiments were done for prostate cancer versus common reference and 3 for normal prostate versus common reference. Prostate cancer and normal prostate samples were labeled with Cy5-dUTP. Common references were labeled with Cy3-dUTP.

2008-09-25 | E-GEOD-5957 | 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