GEO series

Primary tumor grafts as advanced models for breast cancer that authentically reflect tumor histopathology, growth, metastasis, and patient outcomes (copy number)

GSE32530 Homo sapiens (human) Genome variation profiling by SNP array 24 samples Submitted 2011/10/23 Platform GPL6801

At a glance

human · 24 samples

Organism: Homo sapiens (human)
Topic: Breast cancerThis series is part of our curated briefing on it.
Samples: 24 samples
Data you can get: A processed table (series matrix) and supplementary files from NCBI.

Summary (written by the submitters)

Development and pre-clinical testing of new cancer therapies is limited by the scarcity of in vivo models that authentically reproduce tumor growth and metastatic progression. We report new models for breast tumor growth and metastasis, in the form of transplantable tumors derived directly from individuals undergoing treatment for breast cancer.

Read the full summary ↓

These tumor grafts represent the diversity of human breast cancer and maintain essential features of the original tumors, including metastasis to specific sites. Co-engraftment of primary human mesenchymal stem cells maintains phenotypic stability of the grafts and increases tumor growth by promoting angiogenesis. We also report that tumor engraftment is a prognostic indicator of disease outcome for newly diagnosed women; orthotopic breast tumor grafting marks a step toward individualized models for tumor growth, metastasis, and prognosis. This bank of tumor grafts also serves as a publicly available resource for new models in which to study the biology of breast cancer.

This dataset

Open GSE32530 in finder → Find more human 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 (GSE32530_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 ↓

Also filed as BioProject PRJNA154437. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 22019887) ↗

Samples in this study

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+ 24 more — browse all 24 samples with per-sample file links →

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