GEO DataSets

(Submitter supplied) Background: Patients with early stage non-small cell lung carcinoma (NSCLC) may benefit from treatments based on more accurate prognosis. A 15-gene prognostic classifier for NSCLC was identified from mRNA expression profiling of tumor samples from the NCIC CTG JBR.10 trial. Here, we assessed its value in an independent set of cases. Methods: Expression profiling was performed on RNA from frozen, resected tumor tissues corresponding to 181 Stage I and II NSCLC cases collected at University Health Network (UHN181). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

181 Samples

Download data: CEL

(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

Download data

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

Download data

(Submitter supplied) One hundred and seven lung Squamous Cell Carcinomas collected from early stage (stage I+II; AJCC 7th edition) patients at the National Cancer Center Hospital (Tokyo, Japan) between 1997 and 2008 were hybridized to the Human Transcriptome (HT) Array 2.0

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL17586

107 Samples

Download data: CEL

(Submitter supplied) BACKGROUND: Global gene expression analysis provides a comprehensive molecular characterization of non-small cell lung cancer. The aim of this study was to evaluate the feasibility of integrating expression profiling into routine clinical work-up by including minute bronchoscopic biopsies and develop a robust prognostic gene expression signature METHODS: Tissue samples from a series of 41 chemotherapy-naïve non-small cell lung cancer patients and 15 control patients with inflammatory lung diseases were obtained during routine clinical work-up and gene expression profiles were gained using a highly sensitive oligonucleotide array platform (Novachip ; 34'207 transcripts). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6650

56 Samples

Download data: TXT

(Submitter supplied) Purpose: The JBR.10 trial demonstrated benefit from adjuvant cisplatin/vinorelbine (ACT) in early-stage non-small-cell lung cancer (NSCLC). We hypothesized that expression profiling may identify stage-independent subgroups who might benefit from ACT. Patients and Methods: Gene expression profiling was conducted on mRNA from 133 frozen JBR.10 tumor samples (62 observation [OBS], 71 ACT). The minimum gene set that was selected for the greatest separation of good and poor prognosis patient subgroups in OBS patients was identified. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL96

133 Samples

Download data: CEL

(Submitter supplied) Background: Global gene expression profiling has been widely used in lung cancer research to identify clinically relevant molecular subtypes as well as to predict prognosis and therapy response. So far, the value of these multi-gene signatures in clinical practice is unclear and the biological importance of individual genes is difficult to assess as the published signatures virtually do not overlap. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

196 Samples

Download data: CEL

(Submitter supplied) This series is part of a larger series (GSE24549) of colorectal cancer tissue samples analyzed for global gene expression. The expression measures were used to develope a gene signature for prediction of prognosis in stage II and III colorectal cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

95 Samples

Download data: CEL, CHP

(Submitter supplied) By the use of whole genome transcription analysis, we aimed to develop a gene expression classifier to increase the likelihood of identifying stage II colorectal cancer (CRC) samples with a poor prognostic outcome. Gene expression measurement were measured by the GeneChip® Human Exon 1.0 ST Arrays from Affymetrix.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5175

50 Samples

Download data: CEL, CHP

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL5175 GPL11028

333 Samples

Download data: CEL, CHP

(Submitter supplied) Colorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL11028 GPL5175

167 Samples

Download data: CEL, CHP

(Submitter supplied) Colorectal cancer is a heterogeneous disease molecularly characterized by inherent genomic instabilities, chromosome instability and microsatellite instability. In the present study we propose transcriptome instability as an analogue to genomic instability on the transcriptome level. Exon microarray data from two independent series of altoghether 160 colorectal cancer tissue samples was used for global alternative splicing detection using the FIRMA algorithm (aroma.affymetrix). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL5175 GPL11028

166 Samples

Download data: CEL, CHP

(Submitter supplied) Background: Accurate survival stratification in early-stage NSCLC could inform the use of adjuvant therapy. We developed a clinically-implementable mortality risk score incorporating distinct tumor microenvironmental gene expression signatures and clinical variables. Methods: Gene expression profiles from 1106 non-squamous NSCLCs were used for generation and internal validation of a 9-gene molecular prognostic index (MPI). more...

Organism:

Homo sapiens

Type:

Third-party reanalysis; Expression profiling by array

Download data: TXT

(Submitter supplied) Non-small cell lung cancer (NSCLC) presents a notoriously genomically unstable cancer type, with numerous large scale and focal genomic aberrations resulting in gene copy number variations across the whole genome. The relations of these gene copy number changes to subsequent mRNA levels are only fragmentarily understood. The aim of this study was an integrated analysis of gene copy number changes and corresponding gene expression in a large clinically annotated NSCLC patient cohort. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array; SNP genotyping by SNP array

Platform:

GPL3718

190 Samples

Download data: CEL

(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:

GPL3718 GPL570

201 Samples

Download data: CEL

(Submitter supplied) Hypothesis: Non-small cell lung cancer (NSCLC) is characterized by a multitude of genetic aberrations with unknown clinical impact. In this study, we aimed to identify gene copy number changes that correlate with clinical outcome in NSCLC. To maximize the chance to identify clinically relevant events, we applied a strategy involving two prognostically extreme patient groups. Results: Genetic aberrations were strongly associated with tumor histology. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL3718

101 Samples

Download data: CEL

(Submitter supplied) Hypothesis: Non-small cell lung cancer (NSCLC) is characterized by a multitude of genetic aberrations with unknown clinical impact. In this study, we aimed to identify gene copy number changes that correlate with clinical outcome in NSCLC. To maximize the chance to identify clinically relevant events, we applied a strategy involving two prognostically extreme patient groups. Results: Genetic aberrations were strongly associated with tumor histology. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

100 Samples

Download data: CEL

(Submitter supplied) We applied a meta-analysis of datasets from seven different microarray studies on lung cancer for differentially expressed genes related to survival time (under 2 y and over 5 y). Systematic bias adjustment in the datasets was performed by distance-weighted discrimination (DWD). We identified a gene expression signature consisting of 64 genes that is highly predictive of which stage I lung cancer patients may benefit from more aggressive therapy. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL97 GPL96 GPL8300

72 Samples

Download data: CEL

(Submitter supplied) Purpose Prospectively identifying who will benefit from adjuvant chemotherapy (ACT) would improve clinical decisions for individual non-small-cell lung cancer (NSCLC) patients. Most current molecular signatures for lung cancer are prognostic only and provide limited information with regard to the functional importance of the genes selected. In this study, we aim to develop and validate a functional gene set that predicts the clinical benefit of ACT in NSCLC. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6884

176 Samples

Download data: TXT

(Submitter supplied) Non-small cell lung cancer (NSCLC) is a very common solid tumor where only small advances in the reduction of relapse-free survival and overall survival have been accomplished. The issue is particularly critical for stage I patients where there are not available biomarkers, in the absence of detectable nodal or other metastatic involvement, that might indicate which high-risk patients should receive the beneficially proved adjuvant chemotherapy. more...

Organism:

Homo sapiens

Type:

Methylation profiling by genome tiling array

Platform:

GPL13534

444 Samples

Download data