GEO series

A New Breast Tumor Intrinsic Gene List Identifies Novel Characteristics that are Conserved Across Microarray Platforms

GSE1992 Homo sapiens (human) Expression microarray 170 samples Submitted 2005/12/08 Platform GPL885Platform GPL1390Platform GPL887

At a glance

Expression microarray · human · 170 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Topic: Breast cancerThis series is part of our curated briefing on it.
Samples: 170 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Breast cancer is a difficult disease to manage because it is comprised of a spectrum of tumor subtypes with different biological characteristics. Previous gene expression studies using breast tumor “intrinsic” gene lists identified five distinct subtypes of breast tumors: Luminal A, Luminal B, Normal Breast-like, HER2+/ER- and Basal-like.

Read the full summary ↓

Using a training data set of 102 unique breast tumors, we derive a new “intrinsic” gene list based upon 26 paired samples. This Intrinsic/UNC gene set recapitulates the old classifications and extends the analysis to include a large proliferation signature, which was lacking before. Using Distance Weighted Discrimination, we next created a true “test set” of 311 tumors by combining together three different publicly available breast tumor microarray data sets (1-3), which was then analyzed using the newly derived Intrinsic/UNC gene set. The test set analysis identified the same five intrinsic subtypes seen before and a new one (Luminal I), and we show that the intrinsic subtype classifications are independent predictors of relapse-free survival when adjusting for age, node status, tumor size, grade and ER status. We also developed a “Single Sample Predictor” that is able to assign an intrinsic subtype to one sample at a time, which was also shown to be predictive of outcomes on another independent test set of tamoxifen-treated ER+ patients. These analyses demonstrate that 1) common patterns of expression can be identified across different microarray platforms, 2) the breast tumor “intrinsic” subtypes are present in all breast tumor data sets studied, and 3) this classification is adding value to the existing repertoire of clinical markers for breast cancer patients. Keywords: parallel sample

This dataset

Open GSE1992 in finder → Find more human microarray datasets → Breast cancer landscape →

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 (GSE1992_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 PRJNA91007. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 16643655) ↗

Samples in this study

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+ 170 more — browse all 170 samples with per-sample file links →

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