GEO DataSets

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:

GPL96

Series:

GSE6883

12 Samples

Download data: CEL

(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:

GPL97 GPL96

24 Samples

Download data: CEL

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

(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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(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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(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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(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

(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

38 Samples

Download data: TXT

(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

35 Samples

Download data: TXT

(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

(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

(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

(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:

GPL3694 GPL3696

8 Samples

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(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

(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

(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.

Organism:

Homo sapiens

Type:

Expression profiling by array

5 related Platforms

121 Samples

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