U.S. flag

An official website of the United States government

Format
Items per page
Sort by

Send to:

Choose Destination

Links from GEO DataSets

Items: 12

1.

Gene Expression Regulation by Lung Cancer Oncogenes

(Submitter supplied) To characterize gene expression changes induced by oncogenes implicated in human lung adenocarcinoma, we analyzed the whole transcriptome of NIH3T3 cells expressing mutant EGFR (exon 19 deletion) or wild-type EGFR. Expression levels of several genes from this list were validated by quantitative RT-PCR using the same RNA samples.
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL10787
4 Samples
Download data: TXT
Series
Accession:
GSE104494
ID:
200104494
2.

Clinical Utility of Patient Derived Xenografts to Determine Biomarkers of Prognosis and Map Resistance Pathways in EGFR-Mutant Lung Adenocarcinoma

(Submitter supplied) PURPOSE: Although epidermal growth factor receptor (EGFR) mutated adenocarcinomas initially have very high response rates to EGFR tyrosine kinase inhibitors (TKIs), most atients eventually develop resistance. Patient derived xenografts (PDXs) are considered preferred preclinical models to study the biology of patient tumors. EGFR-mutant PDX models may be valuable tools to study the biology of these tumors and to elucidate mechanisms of resistance to EGFR-targeted therapies. more...
Organism:
Homo sapiens; Mus musculus
Type:
Expression profiling by array
Platform:
GPL14951
25 Samples
Download data: TXT
Series
Accession:
GSE63685
ID:
200063685
3.

Effect of 35d and curcumin treatment on gene expression in GR6 cells

(Submitter supplied) To investigate gene expression changes by 35d and curcumin, we treated 1 uM 35d and curcumin for 24h in GR6 cells. We then performed gene expression profiling analysis using data obtained from RNA-seq of untreated and treated cells
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
3 Samples
Download data: TXT
Series
Accession:
GSE215786
ID:
200215786
4.

Gene Expression Patterns that Predict Sensitivity to Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors in Lung Cancer Cell Lines and Human Lung Tumors

(Submitter supplied) Global gene expression data were generated from cultured non small cell lung cancer cell lines (NSCLC), normalized using MAS 5.0, filtered and used to predict response of cells to EGFR inhibition
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL96
48 Samples
Download data: CEL
Series
Accession:
GSE31625
ID:
200031625
5.

miRNA expression of gefitinib-resistant cell lines

(Submitter supplied) To identify novel miRNAs involved in acquired EGFR TKI resistance in NSCLC, genome-wide miRNA expression analysis was performed in gefitinib-resistant sub-cell lines and gefitinib-sensitive parental cell lines.
Organism:
Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL18402
4 Samples
Download data: TXT, XLSX
Series
Accession:
GSE110815
ID:
200110815
6.

Microarray analysis of SEMA5A downstream pathways on A549 cells

(Submitter supplied) A549 cell line shows low endogenous SEMA5A expression and is an ideal platform of screening the dowstream pathways of SEMA5A.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
6 Samples
Download data: IDAT, TXT
Series
Accession:
GSE114578
ID:
200114578
7.

CBX5 loss drives EGFR inhibitor resistance and results in therapeutically actionable vulnerabilities in lung cancer

(Submitter supplied) The study evaluated the differential gene expression in CBX5 knockdown cells compared to control shRNA expressed HCC827 cells. Briefly, human lung cancer HCC827 cells stably expressing either CBX5 shRNAs or control shRNA were analysed for gene expression.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
9 Samples
Download data: TXT
8.

miR-205 mediates adaptive resistance to MET inhibition via ERRFI1 targeting and raised EGFR signaling

(Submitter supplied) The onset of secondary resistance represents a major limitation to long term efficacy of target therapies in cancer patients. Thus, the identification of mechanisms mediating secondary resistance is key to the rational design of alternative therapeutic strategies for resistant patients. MiRNA profiling combined with RNA-seq in MET-addicted gastric and lung cancer cell lines led us to identify the miR-205/ERRFI1 (ERBB receptor feedback inhibitor-1) axis as a novel mediator of resistance to MET tyrosine kinase inhibitors (TKIs). more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
8 Samples
Download data: CSV
Series
Accession:
GSE114406
ID:
200114406
9.

Expression data from PSAT1 overexpression in CL1-0 lung cancer cell line and PSAT1 knockdown in CL1-5 lung cancer cell line.

(Submitter supplied) We demonstrate that PSAT1 down-regulation shRNAs significantly reduced cell migration and invasion in highly invasive lung cancer cell lines in vitro, as well as in lung metastases in vivo We used microarrays to analyze the PSAT1 regulated gene expression underlying invasion-metastasis cascade.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
4 Samples
Download data: CEL
Series
Accession:
GSE75961
ID:
200075961
10.

HTR3A is correlated with the unfavorable histology and promotes proliferation via ERK phosphorylation in lung adenocarcinoma

(Submitter supplied) Lung cancer is the leading cause of cancer death around the world. Adenocarcinoma is the most common histological type and has various histologic subtypes: lepidic, acinar, papillary, solid, and invasive mucinous adenocarcinoma. Histologic subtypes are related to invasiveness of tumors; for example, lepidic subtype is less invasive than acinar/papillary subtype. HTR3A is the main subunit of 5-hydroxytryptamine 3 (5-HT3) receptors, which are the only ligand-gated ion channels in 7 families of 5-HT receptors. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL16791
30 Samples
Download data: CSV
11.

Quantitative in vivo analyses reveal a complex pharmacogenomic landscape in lung adenocarcinoma

(Submitter supplied) The lack of knowledge about the relationship between tumor genotypes and therapeutic responses remains one of the most important gaps in enabling the effective use of cancer therapies. Here, we couple a multiplexed and quantitative platform with robust statistical methods to enable pharmacogenomic mapping of lung cancer treatment responses in vivo. We uncover a surprisingly complex map of genotype-specific therapeutic responses, with over 20% of possible interactions showing significant resistance or sensitivity. more...
Organism:
Mus musculus
Type:
Other
Platform:
GPL17021
13 Samples
Download data: TXT
Series
Accession:
GSE146448
ID:
200146448
12.

Study the differential gene expression of different lung cancer EGFR mutants in NIH3T3 cells

(Submitter supplied) Oncogenic mutations in the EGFR gene account for 15-20% of lung adenocarcinoma (LUAD) cases. However, the mechanism for EGFR driven tumor development and growth is not fully understood. Here, using a mRNA expression profiling-based approach we identified betacellulin (BTC) as one the gene upregulated by oncogenic EGFR in a MAP kinase-dependent manner. BTC protein expression was markedly increased in LUAD patient samples compared to normal lung tissue, with higher expression in EGFR-mutant LUAD. more...
Organism:
Mus musculus
Type:
Expression profiling by high throughput sequencing
Platform:
GPL17021
15 Samples
Download data: TXT
Series
Accession:
GSE101399
ID:
200101399
Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

db=gds|term=|query=33|qty=3|blobid=MCID_671fbbb7e158b40557c9e68c|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
   Taxonomic Groups  [List]
Tree placeholder
    Top Organisms  [Tree]

Find related data

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Support Center