Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Homo sapiens

ABSTRACT: Identifying ovarian cancer populations associated with poor prognosis

PROVIDER: PRJDB12395 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	DRR321276_1.fastq.gz	Fastqsanger.gz
	DRR321276_2.fastq.gz	Fastqsanger.gz
	DRR321277_1.fastq.gz	Fastqsanger.gz
	DRR321277_2.fastq.gz	Fastqsanger.gz
	DRR321278_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 58

Similar Datasets

E-GEOD-43730

Project description:A Myc transcriptional program that is independent of EMT drives a poor prognosis tumor-propagating phenotype in HER2+ breast cancer

2025-01-24 | E-GEOD-43730 | ExpressionAtlas

Homo sapiens

Project description:A signature predicting poor prognosis in gastric and ovarian cancer represents a coordinated macrophage and stromal-response.

| PRJNA221194 | ENA

Homo sapiens

Project description:A five-gene signature is associated with tumor progression and poor prognosis in colorectal cancer

| PRJNA117645 | ENA

E-GEOD-40595

Project description:A cancer associated fibroblasts (CAFs) specific gene signature in high grade serous ovarian cancer

2025-01-24 | E-GEOD-40595 | ExpressionAtlas

Homo sapiens

Project description:Overexpression of NEK6 Associated with Poor Prognosis of Esophageal Squamous Cell Carcinoma

| PRJNA193230 | ENA

Homo sapiens

Project description:Poor prognosis in cancer is associated with a expression signature of aberrant PTEN tumor suppressor pathway activity

| PRJNA96337 | ENA

Homo sapiens

Project description:Overexpression of Snail is associated with lymph node metastasis and poor prognosis in patients with gastric cancer

| PRJNA167122 | ENA

Homo sapiens

Project description:Collagen XVII/Laminin-5 Activates Epithelia-to-Mesenchymal Transition and is Associated with Poor Prognosis in Lung Cancer

| PRJNA317909 | ENA

Transcriptomic analysis of ovarian tumor pairs from primary and metastatic lesions

Project description:Ovarian cancer is one of the most lethal gynaecological malignancies among female population. The high mortality rate of this disease is due to its poor prognosis and most patients present at an advanced stage accompanied with metastasis. The frequent tumor recurrence rate associated with metastasis and chemoresistance are the major obstacles in clinical management of the disease. Different from other solid tumors, ovarian cancer perfers transcoelomic metastasis amd mounting evidence has suggested ovarian cancer patients who have peritoneal metastasis are usually poor prognosis and highly chemoresistant recurrence. In this study, we examined the differential gene expression profile between the primary tumors and their paired metastastic lesions with a view to discover novel target therapies in combating ovarian cancer.

2021-06-26 | GSE178913 | GEO

E-MTAB-11476

Project description:Axon Guidance Receptor ROBO3 Modulates Subtype Identity and Prognosis via AXL-associated Inflammatory Network in Pancreatic Cancer

2025-01-23 | E-MTAB-11476 | ExpressionAtlas

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