GEO DataSets

(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) 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 squamous cell carcinoma (SCC) of lung, we analyzed primary tumour gene expression for a total of fifty-one SCCs (stage I-III) 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

Dataset:

GDS2506

Platform:

GPL3877

51 Samples

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Analysis of primary tumors from patients with squamous cell carcinoma (SCC) of the lung that recurred within 18 months of complete resection of the tumor. Results provide insight into the feasibility of using gene expression signatures for lung cancer prognosis.

Organism:

Homo sapiens

Type:

Expression profiling by array, log2 ratio, 2 disease state, 3 other sets

Platform:

GPL3877

Series:

GSE5123

51 Samples

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(Submitter supplied) Non-small-cell lung cancer (NSCLC), which is comprised mainly of adenocarcinoma and squamous cell carcinoma (SCC), is the cause of 80% of all lung cancer deaths in the US. NSCLC is also associated with a high rate of relapse following clinical treatment and therefore requires robust prognostic markers to better manage therapy options. The aim of this study was to identify miRNA expression profiles in squamous cell carcinoma (SSC) of the lung that would better predict prognosis.

Organism:

Homo sapiens; Mus musculus; Rattus norvegicus

Type:

Non-coding RNA profiling by array

Platform:

GPL5106

71 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) Series of stage IB lung adenocarcinomas and large cell carcinomas. The aim of the study was to predict outcome using a Copy Number Driven Gene Expression signature. Keywords: disease state analysis, stage I lung cancer

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

72 Samples

Download data: CEL

(Submitter supplied) We identified a relapse-related molecular signature represented by 82 probes (RRS-82) through genome-wide expression profiling analysis of a training set of 60 patients. The robustness of RRS-82 in the selection of patients with a high probability of relapse was then validated with a completely blinded test set of 27 adenocarcinoma patients, showing a clear association of high risk RRS-82 with very poor patient prognosis regardless of disease stage. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6480

117 Samples

Download data: TXT

(Submitter supplied) Individualized outcome prediction classifiers were successfully constructed through expression profiling of a total of 8,644 genes in 50 non-small cell lung cancer (NSCLC) cases, which had been consecutively operated on within a defined short period of time and followed up more than five years. The resultant classifier of NSCLCs yielded 82% accuracy for forecasting survival or death five years after surgery of a given patient. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL3694 GPL3696

100 Samples

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(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) 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) We investigated whether the miRNA expression could distinguish lung cancers from normal tissues, examining 116 pairs of primary lung cancers with their corresponding adjacent normal lung tissues collected a minimum of 5 cm from the tumor. Our analysis identified a five microRNA classifier could distinguish malignant lung cancer lesions from adjacent normal tissues. SCLC could be distinguished from non small lung cancer by microRNAs profiling. more...

Organism:

Homo sapiens; Mus musculus; Rattus norvegicus

Type:

Non-coding RNA profiling by array

Platform:

GPL8176

375 Samples

Download data: TXT

(Submitter supplied) Metastasis via the lymphatics is a major risk factor in squamous cell carcinoma of the oral cavity (OSCC). We sought to determine whether the presence of metastasis in the regional lymph node could be predicted by a gene expression signature of the primary tumor. A total of 18 OSCCs were characterized for gene expression by hybridizing RNA to Affymetrix U133A gene chips. Genes with differential expression were identified using a permutation technique and verified by quantitative RT-PCR and immunohistochemistry. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS1062

Platform:

GPL96

27 Samples

Download data: CEL

Expression profiling of 18 primary squamous cell carcinomas of the oral cavity with or without lymph node metastasis. Expression in lymph node metastasis also examined. Results used to identify gene expression signature in primary tumors that indicates the presence of lymph node metastasis.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 2 disease state, 2 tissue sets

Platform:

GPL96

Series:

GSE2280

27 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) 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) 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) Chronic obstructive pulmonary disease (COPD) and squamous cell lung carcinoma (SCC) are both smoking-related diseases. Interestingly, COPD itself is a risk factor for SCC, and this is independent of smoking history. Inferring from this knowledge, it is plausible to assume that patients with COPD may have a different gene expression profile in normal bronchial epithelium and in SCC. To test this hypothesis, we compared gene expression profiles in bronchial epithelium and in SCC from patients with and without COPD. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL1708

63 Samples

Download data: TXT

(Submitter supplied) The majority of patients with squamous cell lung cancer (SCC) die because of metastatic disease. The genomic mechanisms underlying this metastatic behaviour are underexposed. We analyzed a cohort of patients with primary squamous cell carcinoma (SCC) using array-based comparative genomic hybridization (aCGH) to identify which genomic aberrations were related metastatic behaviour. The cohort consisted of 34 patients with a follow-up of at least 5 years, including 15 without any metastases, 8 with metastases in regional lymph nodes only, and 11 with metastases exclusively in distant organs within two years after surgery. more...

Organism:

Homo sapiens

Type:

Genome variation profiling by genome tiling array

Platform:

GPL7096

34 Samples

Download data: TXT

(Submitter supplied) PURPOSE The development of reliable gene expression profiling technology is having an increasing impact on our understanding of lung cancer biology. The present study aims to determine whether the phenotypic heterogeneity and genetic diversity of lung cancer are correlated. PATIENTS AND METHODS In this study, microarray analysis was performed in a set of 91 non-small cell lung cancer (NSCLC) samples in order to: establish gene signatures in primary adenocarcinomas and squamous-cell carcinomas; determine differentially expressed gene sequences at different stages of the disease; and identify sequences with biological significance for tumor progression. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

91 Samples

Download data: CEL