GEO DataSets

(Submitter supplied) Expression profiles of 18,175 unique genes and three major genetic changes, p53, EGFR and K-ras, were investigated in 149 patients with non-small cell lung cancer (NSCLC), including 90 patients with adenocarcinomas (AD) to determine their relationships with various clinicopathologic features and Gene Ontology (GO) terms. Keywords: Disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL7015

163 Samples

Download data: TXT

(Submitter supplied) Lung cancer remains the leading cause of cancer death worldwide. Overall 5-year survival is about 10-15% and despite curative intent surgery, treatment failure is primarily due to recurrent disease. Conventional prognostic markers are unable to determine which patients with completely resected disease within each stage group are likely to relapse. To identify a gene signature associated with recurrent adenocarcinoma (AC) of lung, we analyzed primary tumour gene expression for a total of 48 stage I ACs on 22,323 element microarrays, comparing expression profiles for individuals who remained disease-free for a minimum of 36 months with those from individuals whose disease recurred within 18 months of complete resection. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL3877

48 Samples

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(Submitter supplied) Gene signatures were derived to separate high risk patients from low risk ones.. Keywords: prognosis analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS2373

Platform:

GPL96

130 Samples

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Analysis of primary squamous cell lung carcinomas (SCCs) from 129 patients. SCCs and adenocarcinomas compose the majority of non small cell lung cancers. Gene expression profiles were compared to clinical outcome.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 6 disease state, 2 gender, 12 other sets

Platform:

GPL96

Series:

GSE4573

130 Samples

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(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6246

12 Samples

Download data: CEL

(Submitter supplied) 4T1 mouse mammary carcinoma cells have an autocrine FGFR active loop leading to constitutive activation of downstream signaling pathways. We found that FGFR inhibitors have a strong effect on 4T1 tumors in-vivo. We used microarray to understand the contribution of FGFR signaling to the tumor formation upon TKI258 treatment.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6246

6 Samples

Download data: CEL

(Submitter supplied) 4T1 mouse mammary carcinoma cells have an autocrine FGFR active loop leading to constitutive activation of downstream signaling pathways. We found that FGFR inhibitors have a strong effect on the proliferation and survival of these cells. We used microarray to understand the contribution of FGFR signaling to the tumorigenic phenotype of the 4T1 cells.

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL6246

6 Samples

Download data: CEL

(Submitter supplied) Histopathology is insufficient to predict disease progression and clinical outcome in lung adenocarcinoma. Here we show that gene-expression profiles based on microarray analysis can be used to predict patient survival in early-stage lung adenocarcinomas. Genes most related to survival were identified with univariate Cox analysis. Using either two equivalent but independent training and testing sets, or 'leave-one-out' cross-validation analysis with all tumors, a risk index based on the top 50 genes identified low-risk and high-risk stage I lung adenocarcinomas, which differed significantly with respect to survival. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL80

96 Samples

Download data: CEL, TXT