Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-GEOD-44077

ABSTRACT: Gene expression profiling of the adjacent airway field cancerization in early stage NSCLC

OTHER RELATED OMICS DATASETS IN: PRJNA188511

PROVIDER: E-GEOD-44077 | ExpressionAtlas | 2025-01-24

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	E-GEOD-44077-analysis-methods.tsv	Tabular
	E-GEOD-44077-atlasExperimentSummary.Rdata	Rdata
	E-GEOD-44077-configuration.xml	Xml
	E-GEOD-44077-percentile-ranks.tsv	Tabular
	E-GEOD-44077.condensed-sdrf.tsv	Tabular

Items per page:

1 - 5 of 161

Similar Datasets

Homo sapiens

Project description:Gene expression profiling of the adjacent airway field cancerization in early stage NSCLC

| PRJNA188511 | ENA

E-GEOD-16361

Project description:Gene expression profiling of muscles from transgenic humanSODG93A mice at symptomatic stage

2015-09-03 | E-GEOD-16361 | ExpressionAtlas

E-GEOD-16360

Project description:Gene expression profiling of muscles from transgenic humanSODG93A mice at presymptomatic stage

2015-09-03 | E-GEOD-16360 | ExpressionAtlas

E-GEOD-16992

Project description:Expression Profiling of Early Myogenesis - Affymetrix Dataset

2015-09-07 | E-GEOD-16992 | ExpressionAtlas

E-GEOD-60502

Project description:Gene expression profiling of 18 hepatocellular carcinoma and adjacent non-tumorous liver tissue

2025-01-24 | E-GEOD-60502 | ExpressionAtlas

Gene expression profiling of the adjacent airway field cancerization in early stage NSCLC

Project description:Previous work has shown that lung tumors and normal-appearing adjacent lung tissues share specific abnormalities that may be highly pertinent to the pathogenesis of lung cancer. However, the global and molecular adjacent airway field cancerization in non-small cell lung cancer (NSCLC) has not been characterized before. We sought to understand the transcriptomic architecture of the adjacent airway field canerization, in conjunction with tumors, to gain additional insights into the lung cancer biology and oncogenesis. We analyzed the transcriptome, using the Affymetrix Human Gene 1.0 ST platform, of matched NSCLC tumors, multiple normal airway epithelia with differential distance from the tumors as well as uninvolved normal lung tissues. We analyzed the airway field cancerization transcritpome to determine global differentially expressed cancerization profiles in adjacent airways as well as airway profiles that may be modulated by distance from tumors.

2014-03-04 | E-GEOD-44077 | biostudies-arrayexpress

E-GEOD-19743

Project description:Gene expression of blood samples from pediatric and adult patients with severe burns collected at an early and middle stage after injury.

2025-01-24 | E-GEOD-19743 | ExpressionAtlas

E-GEOD-39432

Project description:Embryo and endosperm gene expression profile at ripening stage

2015-06-24 | E-GEOD-39432 | ExpressionAtlas

E-GEOD-36906

Project description:Gene expression profile of trachea primary airway epithelial cultures from newborn CFTR knockout pigs

2015-09-28 | E-GEOD-36906 | ExpressionAtlas

E-GEOD-42257

Project description:Murine bone marrow gene expression profiling

2015-08-06 | E-GEOD-42257 | ExpressionAtlas