← BioTransfer GEO Dataset Finder
GEO series

The biological and molecular heterogeneity of breast cancers correlate with their cancer stem cell content

GSE18931 Homo sapiens Expression profiling by array 6 samples Submitted 2009/11/07 Platform GPL570
Summary
Pathways that govern normal stem cell (SC) function are often subverted in cancer. Here, we report the isolation to near purity of human normal mammary SC (hNMSCs), from cultured mammospheres, based on their ability to retain the lipophilic dye PKH26 as a consequence of their quiescent nature. We demonstrated that PKH26-positive cells possess all the characteristics of hNMSCs. The transcriptional profile of PKH26-positive cells (hNMSC signature) was able to predict biological and molecular features of breast cancers. By using markers of the hNMSC signature, we could prospectively isolate SCs from the normal gland and from breast tumors. Poorly-differentiated aggressive (G3) cancers displayed higher content of prospectively isolated cancer SCs, than well-differentiated less aggressive (G1) cancers. By comparing G3 and G1 tumors in xenotransplantation experiments, we directly demonstrated that G3s are enriched in cancer SCs. Our data support the notion that the heterogeneous phenotypical and molecular traits of human breast cancers are a function of their SC content.
This dataset
Download

Direct links to NCBI, no account and no request form: the whole study as GSE18931_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 6 samples.

Also filed as BioProject PRJNA121041. Searching any of these in the dataset finder brings you back here.

Samples in this study

The sample list for this study is not cached yet. Press Sort into groups and it will be fetched from NCBI.

+ 6 more — browse all 6 samples with per-sample file links →

Similar datasets

Search all human microarray datasets in GEO →

Share this dataset

Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.