Similar studies for GEO DataSets (Select 2618) - GEO DataSets

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Items: 16

Select item 26181.

Tumorigenic breast cancer cells (HG-U133B)

Analysis of breast cancer cells that have high tumorigenic capacity. These cells express CD44 and low or undetectable levels of CD24. Results used to define a gene expression signature associated with metastasis.

Organism:: Homo sapiens

Type:: Expression profiling by array, count, 3 disease state sets

Platform:: GPL97
Series:: GSE6883
12 Samples

Download data: CEL

DataSet

Accession:: GDS2618

ID:: 2618

Select item 2000068832.

The prognostic role of a gene signature from tumorigenic breast-cancer cells.

(Submitter supplied) Breast cancers contain a minority population of cancer cells characterized by CD44 expression but low or undetectable levels of CD24 (CD44+CD24-/low) that have higher tumorigenic capacity than other subtypes of cancer cells. METHODS: We compared the gene-expression profile of CD44+CD24-/low tumorigenic breast-cancer cells with that of normal breast epithelium. Differentially expressed genes were used to generate a 186-gene invasiveness gene signature (IGS), which was evaluated for its association with overall survival and metastasis-free survival in patients with breast cancer or other types of cancer. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Datasets:: GDS2617 GDS2618
Platforms:: GPL96 GPL97
24 Samples

Download data: CEL

Series

Accession:: GSE6883

ID:: 200006883

Select item 26173.

Tumorigenic breast cancer cells (HG-U133A)

Organism:: Homo sapiens

Type:: Expression profiling by array, count, 3 disease state sets

Platform:: GPL96
Series:: GSE6883
12 Samples

Download data: CEL

DataSet

Accession:: GDS2617

ID:: 2617

Select item 2000203644.

Breast cancer endothelial interaction

(Submitter supplied) MATERIALS AND METHODS: The genomic effects of tumor-endothelial interactions in cancer are not yet well characterized. To study this interaction in breast cancer, we set up an ex vivo coculture model with human benign and malignant breast epithelial cells with endothelial cells to determine the associated gene expression changes using DNA microarrays. RESULTS: The most prominent response to coculture was the induction of the M-phase cell cycle genes in a subset of breast cancer cocultures that were absent in cocultures with normal breast epithelial cells. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL10054
46 Samples

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Series

Accession:: GSE20364

ID:: 200020364

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 2000028455.

Human breast tumor

(Submitter supplied) subpopulation of breat cancer using gene expression data and clinical data Keywords: breast cancer survival and metastasis analysis

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL2567
311 Samples

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Series

Accession:: GSE2845

ID:: 200002845

Select item 2000110786.

A six-gene signature predicting breast cancer lung metastasis

(Submitter supplied) The lungs are a frequent target of metastatic breast cancer cells, but the underlying molecular mechanisms are unclear. All existing data were obtained either using statistical association between gene expression measurements found in primary tumors and clinical outcome, or using experimentally derived signatures from mouse tumor models. Here, we describe a distinct approach that consists to utilize tissue surgically resected from lung metastatic lesions and compare their gene expression profiles with those from non-pulmonary sites, all coming from breast cancer patients. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
23 Samples

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Series

Accession:: GSE11078

ID:: 200011078

Select item 2000086667.

Integrated SV40 T/t-antigen Cancer Signature in Aggressive Breast, Prostate and Lung Carcinomas with Poor Prognosis

(Submitter supplied) Understanding the genetic architecture of cancer pathways that distinguishes subsets of human cancer is critical to developing new therapies that better target tumors based upon their molecular expression profiles. In this study, we identify an integrated gene signature from multiple transgenic models of epithelial cancers intrinsic to the functions of the Simean virus 40 T/t-antigens that is associated with the biologic behavior and prognosis for several human epithelial tumors. more...

Organism:: Mus musculus

Type:: Expression profiling by array

Platform:: GPL5339
73 Samples

Download data: TXT

Series

Accession:: GSE8666

ID:: 200008666

Select item 2000086638.

Integrated SV40 T/t-antigen Cancer Signature in Aggressive Breast, Prostate and Lung Carcinomas with Poor Prognosis 2

Organism:: Mus musculus

Type:: Expression profiling by array

Platform:: GPL5339
38 Samples

Download data: TXT

Series

Accession:: GSE8663

ID:: 200008663

Select item 2000086629.

Integrated SV40 T/t-antigen Cancer Signature in Aggressive Breast, Prostate and Lung Carcinomas with Poor Prognosis 1

Organism:: Mus musculus

Type:: Expression profiling by array

Platform:: GPL5339
35 Samples

Download data: TXT

Series

Accession:: GSE8662

ID:: 200008662

Select item 20005610310.

Differential in vivo tumorigenicity of distinct subpopulations from a luminal-like breast cancer model

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

Organism:: Homo sapiens

Type:: Expression profiling by array; SNP genotyping by SNP array

Platforms:: GPL16333 GPL4133
19 Samples

Download data: TXT

Series

Accession:: GSE56103

ID:: 200056103

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20005459511.

Differential in vivo tumorigenicity of distinct subpopulations from a luminal-like breast cancer model (SNP)

(Submitter supplied) The cellular heterogeneity of one patient derived orthotopic breast cancer xenograft model PDX was investigated using flow cytometry, combined with assessment of in vivo tumorigenicity and SNP genotyping array for copy number analysis. Epithelial cell adhesion molecule (EpCAM) was revealed as a highly specific cell surface marker of the human tumor cell population in both xenografts. Based on expression patterns observed in primary tumor tissue, SSEA-4 and CD24 were chosen as markers to further subdivide the luminal tumor cells into four subpopulations. more...

Organism:: Homo sapiens

Type:: SNP genotyping by SNP array

Platform:: GPL16333
4 Samples

Download data: TXT

Series

Accession:: GSE54595

ID:: 200054595

PubMed Full text in PMC Similar studies

Select item 20004838412.

Differential in vivo tumorigenicity of distinct subpopulations from a luminal-like breast cancer model (expression)

(Submitter supplied) The cellular heterogeneity of one patient derived orthotopic breast cancer xenograft model (PDBCX) was investigated using flow cytometry , combined with assessment of in vivo tumorigenicity and whole genome expression profiling. Epithelial cell adhesion molecule (EpCAM) was revealed as a highly specific cell surface marker of the human tumor cell population in both xenografts. Based on expression patterns observed in primary tumor tissue, SSEA-4 and CD24 were chosen as markers to further subdivide the luminal tumor cells into four subpopulations. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL4133
15 Samples

Download data: TXT

Series

Accession:: GSE48384

ID:: 200048384

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20000470513.

genome-wide expression analysis of the highly metastatic lung cancer cell line NCI-H460-LNM35

(Submitter supplied) Widespread metastasis is the major cause of human lung cancer-related deaths, but there is much to be elucidated about underlying mechanism. Based on the genome-wide expression analysis of the highly metastatic lung cancer cell line NCI-H460-LNM35 (LNM35), we identified a cancer metastasis signature composed of 45 genes with previously uncharacterized features but well-known associations with human cancers including CXCL1, IER3, PTTG1, DAD1, METAP2, E-cadherin and galectin 3. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platforms:: GPL3696 GPL3694
8 Samples

Download data

Series

Accession:: GSE4705

ID:: 200004705

Select item 20010361114.

Gene expression-profiling to predict distant metastasis in locoregionally advanced nasopharyngeal carcinoma

(Submitter supplied) Gene expression patterns can be used as prognostic biomarkers in various types of cancer. We aimed to identify a gene expression pattern for individual distant metastatic risk assessment in patients with locoregionally advanced nasopharyngeal carcinoma (LA-NPC).

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL19251
48 Samples

Download data: CEL, CSV, XLSX

Series

Accession:: GSE103611

ID:: 200103611

Select item 20002165315.

A gene expression signature identifies two prognostic subgroups of basal breast cancer

(Submitter supplied) Medullary breast cancers (MBC) display a basal profile, but a favorable prognosis. We hypothesized that a previously published 368-gene expression signature associated with MBC might serve to define a prognostic classifier in basal cancers. We collected public gene expression and histoclinical data of 2145 invasive early breast adenocarcinomas. We developed a Support Vector Machine (SVM) classifier based on this 368-gene list in a learning set, and tested its predictive performances in an independent validation set. more...

Organism:: Homo sapiens

Type:: Expression profiling by array

Platform:: GPL570
266 Samples

Download data: CEL

Series

Accession:: GSE21653

ID:: 200021653

PubMed Full text in PMC Similar studies Analyze with GEO2R

Select item 20001611316.

Activation of Host Wound Responses in Breast Cancer Microenvironment

(Submitter supplied) Cancer progression is mediated by processes that are also important in wound repair. As a result, cancers have been conceptualized as overhealing wounds or "wounds that do not heal," and gene expression signatures reflective of wound repair have shown value as predictors of breast cancer survival. Despite the widespread acknowledgment of commonalities between host responses to wounds and host responses to cancer, the gene expression responses of normal tissue adjacent to cancers have not been well characterized.