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Links from GEO DataSets

Items: 9

1.

Gene expression data for pathological stage I-II lung adenocarcinomas

(Submitter supplied) Identification of genes up-regulated in ALK-positive and EGFR/KRAS/ALK-negative lung adenocarcinomas. To elucidate molecular characteristics of lung adenocarcinomas (ADCs) with ALK mutations and those without EGFR, KRAS and ALK mutations, 226 primary lung ADCs of pathological stage I-II, examined for the status of EGFR, KRAS and ALK mutations, were subjected to genome-wide expression profiling, and genes up-regulated in lung ADCs with ALK mutations and those without EGFR, KRAS and ALK mutations were identified. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
246 Samples
Download data: CEL
Series
Accession:
GSE31210
ID:
200031210
2.

miR-134/487b/655 Cluster regulates TGF-β-induced epithelial-mesenchymal transition and drug resistance to Gefitinib by targeting MAGI2 in lung adenocarcinoma cells.

(Submitter supplied) Epithelial-mesenchymal transition (EMT) has recently been recognized as a key element of cell invasion, migration, metastasis, and drug resistance in several types of cancer, including non-small cell lung cancer (NSCLC). Our aim was to clarify microRNA (miRNA) -related mechanisms underlying EMT followed by acquired resistance to epidermal growth factor receptor tyrosine-kinase inhibitor (EGFR-TKI) in NSCLC. more...
Organism:
Homo sapiens
Type:
Expression profiling by RT-PCR
Platform:
GPL17853
8 Samples
Download data: TXT
Series
Accession:
GSE51828
ID:
200051828
3.

Gene expression and lung tumors: screening for markers that discriminate tumor histology and genetic background.

(Submitter supplied) The success of targeted therapies creates a need to discriminate tumors accurately by their histological and genetic characteristics. Here, we used cDNA microarray analysis to identify gene expression profiles and single markers that recapitulate the pathological and genetic background (i.e., BRAF, EGFR, KRAS, LKB1, PIK3CA, and TP53 gene alterations) of non-small cell lung cancer (NSCLC). Gene expression profiles were determined for 6 normal lung tissues and 69 lung tumors from patients diagnosed with NSCLC. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL5645
75 Samples
Download data: GPR
Series
Accession:
GSE8569
ID:
200008569
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.

Selective Loss of RB in Resistant EGFR Mutant Lung Adenocarcinomas that Transform to SCLC

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by array; Genome variation profiling by SNP array
Platforms:
GPL16237 GPL570
16 Samples
Download data: CEL, TXT
Series
Accession:
GSE64766
ID:
200064766
6.

Selective Loss of RB in Resistant EGFR Mutant Lung Adenocarcinomas that Transform to SCLC [CGH]

(Submitter supplied) The study was designed to identify the molecular changes that occur in EGFR mutant NSCLCs that become resistant to TKI by transforming to SCLC. Tyrosine kinase inhibitors (TKIs) are effective treatments for non-small cell lung cancers (NSCLCs) with epidermal growth factor receptor (EGFR) mutations. However, they do not lead to cures, and, on average, relapse occurs after one year of continuous treatment. more...
Organism:
Homo sapiens
Type:
Genome variation profiling by SNP array
Platform:
GPL16237
6 Samples
Download data: TXT
Series
Accession:
GSE64765
ID:
200064765
7.

Selective Loss of RB in Resistant EGFR Mutant Lung Adenocarcinomas that Transform to SCLC [gene expression]

(Submitter supplied) The study was designed to identify the molecular changes that occur in EGFR mutant NSCLCs that become resistant to TKI by transforming to SCLC. Tyrosine kinase inhibitors (TKIs) are effective treatments for non-small cell lung cancers (NSCLCs) with epidermal growth factor receptor (EGFR) mutations. However, they do not lead to cures, and, on average, relapse occurs after one year of continuous treatment. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
10 Samples
Download data: CEL
Series
Accession:
GSE64322
ID:
200064322
8.

Comparison of gene expression profiling of human lung at four developmental stages and lung adenocarcioma

(Submitter supplied) It is gradually becoming a new aspect in research to search and explore embryo development for malignant information hidden in tumor cells. In this study, the gene expression profiles for human lungs at four developmental stages and lung adenocarcinoma (ADC) were depicted, respectively. The molecular dynamics was compared for development and lung ADC, and it was proposed that primary lung ADC may hijack part of the molecular mechanisms of lung development to down-regulate homeostasis-associated genes and up-regulate stemness-associated genes; and it was revealed that the genes with monotonely decreasing expression trend during lung development process are enriched with lung ADC prognostic information.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6480
113 Samples
Download data: TXT
Series
Accession:
GSE43767
ID:
200043767
9.

Loss of cytoplasmic CDK1 predicts poor survival in human lung cancer and confers chemotherapeutic resistance

(Submitter supplied) The dismal lethality of lung cancer is due to late stage at diagnosis and inherent therapeutic resistance. The incorporation of targeted therapies has modestly improved clinical outcomes, but the identification of new targets could further improve clinical outcomes by guiding stratification of poor-risk early-stage patients and individualizing therapeutic choices. We hypothesized that a sequential, combined microarray approach would be valuable to identify and validate new targets in lung cancer. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL13354
3 Samples
Download data: TXT
Series
Accession:
GSE28282
ID:
200028282
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