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Links from GEO DataSets

Items: 3

1.

A nested case-control study to investigate drivers for metastatic disease in breast cancer (QC substudy)

(Submitter supplied) This is a quality control (QC) substudy of GSE48091. The QC substudy comprises gene-expression profiling of re-extracted tumor RNA for a subset of the tumours in the full study. As background, a population-based cohort study of metastatic breast cancer patients was first designed. Thereafter, a case-control study nested in the corresponding population-based cohort of primary breast cancer patients was designed by selecting distant metastasis-free controls to each case. more...
Organism:
Homo sapiens
Type:
Expression profiling by array; Third-party reanalysis
Platform:
GPL10379
97 Samples
Download data: CEL, TXT
Series
Accession:
GSE81954
ID:
200081954
2.

A nested case-control study to investigate drivers for metastatic disease in breast cancer

(Submitter supplied) The purpose of this study was to improve prediction of patients at high-risk for metastatic disease utilizing a nested case-control design that uniquely enables enrichment for relevant phenotypes. We identified all women diagnosed with primary breast cancer from January 1, 1997, to December 31, 2005, in the Stockholm health care region. Patients developing distant metastatic disease (cases) were selected and controls (free from distant disease) were randomly matched by adjuvant therapy, age and calendar period at diagnosis. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10379
623 Samples
Download data: CEL
Series
Accession:
GSE48091
ID:
200048091
3.

Genome-wide analysis of each stage of EPCs differentiation

(Submitter supplied) Analysis of regulators of endothelial progenitor cells (EPCs) differentiation at gene expression level. Results provide information of gene expression pattern and critical biological processing during EPCs differentiation. Taken together, we define the network of regulators of cord blood-derived EPCs during EPCs differentiation, which can be used to identify genes involved in vascular pathology. Furthermore, we select the critical regulators and then observe these selected regulator's functionality in vitro and in vivo.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL6947
5 Samples
Download data: TXT
Series
Accession:
GSE46328
ID:
200046328
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Supplemental Content

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