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Links from GEO DataSets

Items: 20

1.
Full record GDS3627

Non-small lung cancer subtypes: adenocarcinoma and squamous cell carcinoma

Comparison of two non-small cell lung cancer histological subtypes: adenocarcinomas (AC) and squamous cell carcinomas (SCC). Results provide insight into the molecular differences between AC and SCC.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 2 disease state sets
Platform:
GPL570
Series:
GSE10245
58 Samples
Download data: CEL
DataSet
Accession:
GDS3627
ID:
3627
2.

Miscellaneous unmatched samples

(Submitter supplied) unmatched samples
Organism:
Homo sapiens
Type:
Expression profiling by RT-PCR
Platform:
GPL2845
4 Samples
Download data
Series
Accession:
GSE36495
ID:
200036495
3.

Non-small Cell Lung Cancer (qRT-PCR)

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by RT-PCR
Platform:
GPL2845
105 Samples
Download data: TXT
Series
Accession:
GSE10939
ID:
200010939
4.

Gene expression differences between matched tumor and normal samples of NSCLC patients (qRT-PCR)

(Submitter supplied) Gene expression differences between between matched tumor and normal samples were analyzed using paired t-test. Keywords: disease state analysis
Organism:
Homo sapiens
Type:
Expression profiling by RT-PCR
Platform:
GPL2845
90 Samples
Download data: TXT
Series
Accession:
GSE10937
ID:
200010937
5.

Gene expression differences between adenocarcinoma and squamous cell carcinoma in human NSCLC (qRT-PCR)

(Submitter supplied) Gene expression differences between the tumor subtypes AC and SCC were analyzed using t-test. Keywords: disease subtype analysis
Organism:
Homo sapiens
Type:
Expression profiling by RT-PCR
Platform:
GPL2845
56 Samples
Download data: TXT
Series
Accession:
GSE10936
ID:
200010936
6.

Gene expression differences between adenocarcinoma and squamous cell carcinoma in human NSCLC

(Submitter supplied) Non-small cell lung cancer (NSCLC) can be classified into the major subtypes adenocarcinoma (AC) and squamous cell carcinoma (SCC) subtypes. Although explicit molecular, histological and clinical characteristics have been reported for both subtypes, no specific therapy exists so far. However, the characterization of suitable molecular targets holds great promises to develop novel therapies in NSCLC. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS3627
Platform:
GPL570
58 Samples
Download data: CEL
Series
Accession:
GSE10245
ID:
200010245
7.

Current smoking-specific gene expression signature in bronchial epithelium is enhanced in squamous cell lung cancer

(Submitter supplied) Cigarette smoking is the main risk factor for the development of squamous cell lung carcinoma (SCC). However, the smoking-related molecular changes in SCC have not been studied. We wanted to identify genes in both histologically normal bronchial epithelium and SCC samples that are differentially expressed between current and ex-smokers. In addition, to analyze the levels of the smoking-related genes identified in normal bronchial epithelium with the levels in SCC. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL1708
62 Samples
Download data: PDF, TXT
Series
Accession:
GSE12428
ID:
200012428
8.

miRNA prognostic profiles in lung cancer

(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:
Mus musculus; Rattus norvegicus; Homo sapiens
Type:
Non-coding RNA profiling by array
Platform:
GPL5106
71 Samples
Download data: TXT
Series
Accession:
GSE16025
ID:
200016025
9.

A Gene Expression Signature to Predict Metastasis and Survival in Non-small Cell Lung Cancer

(Submitter supplied) Background: Current histopathological methods are inadequate for predicting outcome and recurrence in patients with non-small cell lung carcinoma (NSCLC) after surgery. In this study, we investigated the use of gene expression signatures to predict outcome and metastasis in lung cancer patients. Methods: Gene expression was studied by microarray and the real-time reverse transcriptase polymerase chain reaction (RT-PCR) in normal and lung tumor tissue of 188 NSCLC patients who underwent surgical resection. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL3730
125 Samples
Download data: GPR, PDF
Series
Accession:
GSE4882
ID:
200004882
10.

Gene expression profile of Transgenic Adenocarcinoma of the Mouse Prostate (TRAMP)

(Submitter supplied) Gene expression profile of Transgenic Adenocarcinoma of the Mouse Prostate (TRAMP) reveals murine targets for preclinical development of human prostate cancer therapy In this study, we have generated an open source TRAMP microarray dataset to identify differentially expressed genes from human prostate cancer that have concordant expression in TRAMP tumors, and thereby represent lead targets for preclinical therapy development. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL1261
18 Samples
Download data: CEL
Series
Accession:
GSE10525
ID:
200010525
11.

Non Small Cell Lung Cancer

(Submitter supplied) This series contain 36 samples obtained from human lung tissue and includes the following: 7 Adenocarcinoma samples. 16 Squamous cell carcinoma samples. 1 AdenoSquamous sample. 2 Renal Metastasis. 1 Colon metastasis. 7 normal lung tissue adjacent to the tumors. 2 commercial normal lung RNA. Keywords = Lung Keywords = Non Small Cell Lung Cancer Keywords = Adenocarcinoma Keywords = Squamous Cell Carcinoma Keywords = Normal Lung. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL91
37 Samples
Download data
Series
Accession:
GSE1987
ID:
200001987
12.

Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis and tissue microarray validation

(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
Series
Accession:
GSE37745
ID:
200037745
13.

Establishment and Comparative Characterization of Novel Non-Small Cell Lung Cancer Cell Lines and Their Corresponding Tumor Tissue

(Submitter supplied) Cell lines play an important role for studying tumor biology and novel therapeutic agents. We demonstrated that cell lines represent a useful and reliable in vitro system for studying basic mechanisms in lung cancer. Moreover, we presented 3 novel, comprehensively characterized SCC cell lines.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
6 Samples
Download data: CEL
Series
Accession:
GSE25251
ID:
200025251
14.

Gene expression profiling reveals novel molecular marker candidates of laryngeal squamous cell carcinoma

(Submitter supplied) Laryngeal squamous cell carcinoma is a very common in head and neck cancer, accounting for 25% of all cases, with high mortality rates and poor prognosis. In this study, we compared expression profiles of clinical samples from15 larynx tumors and 10 non-neoplastic larynx tissue using a custom-built cDNA microarray containing 332 probes for 285 genes previously identified as up- or down-regulated in head and neck tumors by the Head and Neck Annotation Consortium (Reis et al., Cancer Res 65:1693-99, 2005). more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6426
46 Samples
Download data: TXT
Series
Accession:
GSE10288
ID:
200010288
15.

Comparative gene expression analysis of mesenchymal stem cells (MSC) derived from non-small cell lung cancer (NSCLC) and corresponding normal lung tissue (NLT)

(Submitter supplied) The stromal microenvironment plays a vital role in cancer initiation and progression. We performed a comparative expression profiling of pulmonary MSC derived from NSCLC and corresponding normal lung tissue of 5 newly diagnosed patients. The analysis indicated variable expression of genes involved in DNA repair, apoptosis, proliferation or angiogenesis between NSCLC-MSC and NLT-MSC.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
10 Samples
Download data: CEL
Series
Accession:
GSE23066
ID:
200023066
16.

Novel Molecular Markers for non-melanoma skin cancer

(Submitter supplied) normal skin (no), actinic keratosis (ak), and squamous cell carcinoma (scc) of the skin were examined: Carcinogenesis is a multi-step process indicated by several genes up- or down-regulated during tumor progression. The type and number of genes involved in non-melanoma skin cancer (NMSC) are still unclear. This study examined and identified different expressed genes in NMSC. Fifteen snap-frozen biopsies of five immunosuppressed organ-transplanted recipients each normal skin, actinic keratosis (AK) and invasive squamous cell carcinoma (SCC) were analysed. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS2200
Platform:
GPL96
15 Samples
Download data
Series
Accession:
GSE2503
ID:
200002503
17.
Full record GDS2200

Non-melanoma skin cancer

Analysis of normal skin, actinic keratotic (AK) lesion, and squamous cell carcinoma (SCC) tumor biopsies from 5 patients with non-melanoma skin cancer (NMSC). Results provide insight into the molecular pathogenesis of NMSC.
Organism:
Homo sapiens
Type:
Expression profiling by array, count, 3 disease state sets
Platform:
GPL96
Series:
GSE2503
15 Samples
Download data
18.

Prediction of Recurrence-Free Survival in Postoperative NSCLC Patients—a Useful Prospective Clinical Practice

(Submitter supplied) Background: One of the main fields of lung cancer research is identifying patients who are at high risk of post-resection recurrence. Individual recurrence risk evaluation by accurate but simple and reproducible method is needed for the clinical practice. Results: The log-rank test and further selection by our criteria of assayability generated 87 genes from microarray data with significant level 5%. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL570
138 Samples
Download data
Series
Accession:
GSE8894
ID:
200008894
19.

Gene expression-based, individualized outcome prediction for surgically treated lung cancer patients

(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
Download data
Series
Accession:
GSE4716
ID:
200004716
20.

ADAM-28: A potential oncogene involved in asbestos-related lung adenocarcinomas

(Submitter supplied) To identify gene expression biomarkers associated with asbestos-related lung adenocarcinoma, we analyzed primary tumour gene expression for a total of 36 primary lung adenocarcinomas on 22,323 element microarrays, comparing 12 patients with lung asbestos body counts above levels associated with urban dwelling (ARLC-AC: asbestos-related lung cancer-adenocarcinoma) with 24 patients with no asbestos bodies (NARLC-AC: non-asbestos related lung cancer-adenocarcinoma).
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL3877
36 Samples
Download data: TXT
Series
Accession:
GSE20875
ID:
200020875
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