GEO series

Letrozole (Femara) early response to treatment

GSE10281 Homo sapiens (human) Expression microarray 36 samples Submitted 2009/08/15 Platform GPL570

At a glance

Expression microarray · human · 36 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 36 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Tumorigenic breast cancer cells characterized by high CD44 and low or undetectable CD24 levels (CD44+/CD24-/low) may be resistant to conventional therapies and responsible for cancer relapse. We defined a “signature” expression pattern of hundreds of genes associated with CD44+/CD24-/low, mammosphere-forming cells.

Read the full summary ↓

In a panel of patient breast tumors, this tumorigenic gene signature was found exclusively manifested in tumors of the recently identified “claudin-low” molecular profile subtype characterized by overexpression of many mesenchymal-associated genes, suggesting that these tumors have pre-existing higher levels of tumorigenic cells. Furthermore, when comparing the expression profiles of paired breast cancer core biopsies before versus after hormone therapy or chemotherapy, both the tumorigenic and “claudin-low” signatures were more active in about half of tumors after treatment, indicative of a greater enrichment of tumorigenic cells as a result of treatments targeting the bulk tumor cells. Keywords: two group comparison

This dataset

Open GSE10281 in finder → Find more human microarray datasets →

Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

Series matrix ↓

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗

3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE10281_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

What the files usually look like: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA108483. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 19666588) ↗

Samples in this study

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+ 36 more — browse all 36 samples with per-sample file links →

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