Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Epigenome analysis of endometrial endometrioid adenocarcinoma tissues

ABSTRACT: Epigenome analysis of endometrial endometrioid adenocarcinoma tissues

PROVIDER: PRJNA563677 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Epigenome analysis of endometrial endometrioid adenocarcinoma tissues

Project description:We performed genome-wide DNA methylation profiling of endometrial endometrioid adenocarcinoma tissues derived from patients in the Cancer Institute Hospital of Japanese Foundation for Cancer Research.

2019-09-13 | GSE136791 | GEO

EMca: serous, endometrioid, normal (miRNA)

Project description:To determine the expression profiles of microRNAs (miRNAs) and to examine specific miRNA expression in endometrial serous adenocarcinoma in comparison with normal endometrial tissue and endometrial endometrioid adenocarcinoma.　Twenty-one serous adenocarcinoma tissues, 20 endometrioid adenocarcinoma tissues, and 7 normal endometrial tissues were enrolled.　miRNA expression profiles were examined using miRNA microarray.

2018-11-01 | GSE25405 | GEO

Epigenome analysis of precursor lesions of endometrial endometrioid carcinoma.

Project description:We performed genome-wide DNA methylation profiling of precursor lesions of endometrial endometrioid carcinoma tissues derived from patients in the Cancer Institute Hospital of Japanese Foundation for Cancer Research.

2024-02-26 | GSE243303 | GEO

Epigenome analysis of precursor lesions of endometrial endometrioid carcinoma.

Project description:Epigenome analysis of precursor lesions of endometrial endometrioid carcinoma.

| PRJNA1017682 | ENA

A Proteogenomic View of Synchronous Endometrioid Endometrial and Ovarian Cancer

Project description:Purpose: Increasing genomics-based evidence suggests that synchronous endometrial and ovarian cancer (SEOC) represents clonally related primary and metastatic tumors. A systematic analysis of the global protein landscape of SEOCs, heretofore lacking, could reveal functional and disease-specific consequences of known genetic alterations, the directionality of metastasis, and accurate histological markers to distinguish SEOCs from single-site tumors. Experimental Design: We performed a systematic proteogenomic analysis of 29 patients diagnosed with SEOC at three international gynecologic oncology treatment centers (Chicago, Vancouver, Tübingen). For direct comparison to single-site tumors, we included 9 patients with single-site endometrioid ovarian and 26 patients with single-site endometrial endometrioid cancer. For all 64 patients, we performed sequencing of a 275-gene cancer panel combined with compartment-resolved mass spectrometry (MS) based proteomics of consecutive tissue sections to compare global (6,000+ proteins), tumor, and stromal proteomes. Results: DNA-based panel sequencing confirmed that most SEOCs are clonally related, suggesting primary and metastatic disease. These findings were further substantiated on the global proteome level, uncovering pronounced differences between SEOCs and single tumors and underscoring the importance of the stromal proteome in defining and identifying SEOCs. Our integrated proteogenomic approach confirmed that SEOCs more closely resemble endometrial endometrioid than endometrioid ovarian cancers. Conclusions: The integrated proteogenomic data show that SEOCs are distinguishable from endometrial endometrioid or endometrioid ovarian cancers. Based on their proteogenomic similarity to endometrial endometrioid cancers, we conclude that most synchronous endometrial and ovarian cancers represent primary endometrial endometrioid cancers that have metastasized to the ovary.

2025-03-11 | PXD059172 | Pride

Comparative DNA methylome analysis of endometrioid adenocarcinoma, uterine papillary serous carcinoma, and normal endometrium

Project description:Classically, there are two types of endometrial cancer, endometrioid adenocarcinoma (EAC), or Type I; and uterine papillary serous carcinoma (UPSC), or Type II. These two types of cancers exhibit distinct DNA methylation levels in promoters of many genes. In EAC, many tumor suppressor genes were silenced due to DNA hypermethylation at their promoter region. However, promoters of many of these genes remained unmethylated in UPSC. Here, we described complete DNA methylome maps of endometrioid adenocarcinoma, uterine papillary serous carcinoma, and normal endometrium, by applying a combined strategy of methylated DNA immunoprecipitation sequencing (MeDIP-seq) and methylation-sensitive restriction enzyme sequencing (MRE-seq). We took a complementary and orthogonal approach to identify DNA methylation changes unique to the two endometrial cancer subtypes in an unbiased fashion. We generated complete DNA methylome maps for endometrioid adenocarcinoma (EAC, three samples), uterine papillary serous carcinomas (UPSC, three samples), and normal endometrium (pooled samples) by integrating data from methylated DNA immunoprecipitation sequencing (MeDIP-seq) and methylation-sensitive restriction enzyme sequencing (MRE-seq).

2014-10-12 | E-GEOD-51565 | biostudies-arrayexpress

Comparative DNA methylome analysis of endometrioid adenocarcinoma, uterine papillary serous carcinoma, and normal endometrium

2014-10-12 | GSE51565 | GEO

Genome-wide DNA methylation profiles of endometrioid endometrial cancer tissue

Project description:Genome-wide DNA methylation screening was performed using the Infinium MethylationEPIC BeadChip in 49 fresh-frozen tissue samples and 31 formalin-fixed paraffin-embedded tissue samples obtained from surgically resected materials of patients with endometrioid endometrial cancer.

2022-11-09 | GSE178610 | GEO

Adipocyte induced distinct gene expression profiling of human endometrioid endometrial cancer cells upon SIRT1 inhibition.

Project description:We examined the mechanism by which adiposity regulates endometrioid endometrial cancer progression. Ishikawa EEC cells were co-cultured with mature adipocytes in presence or absence of SIRT1 inhibitor EX527, and total RNA was isolated for RNA-seq analysis and focus on the functional relevance that adipocyte co-culture affected pathways and related biomarkers may have in endometrial cancer response to adiposity.

2024-08-05 | GSE272263 | GEO

Gene Expression Profiles in Early Stages Uterine Serous Carcinomas in comparison to G3 and G1 Endometrioid Adenocarcinoma

Project description:The goal of this study was to identify differentially expressed genes (DEG) between uterine serouscarcinoma (USC) vs. early stages high/low grade endometrioid adenocarcinoma (EAC).

2011-03-31 | GSE24537 | GEO

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