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Publicly Available Data
This site has been built as a repository for selected datasets
collected and analyzed by investigators at MD Anderson. We have
tried to provide a reasonable amount of explanation.
Certain tools used to analyze these data are also posted under
Software. The individual pages for the different datasets are
linked to below.
Proteomics
Testing Response to Chemotherapy in Breast Cancer, Pusztai et al 2004
This dataset consists of 620 sample and QC SELDI spectra
used in Pusztai et al,
"Pharmacoproteomic Analysis of Prechemotherapy and Postchemotherapy
Plasma Samples from Patients Receiving Neoadjuvant or Adjuvant
Chemotherapy for Breast Carcinoma",
Cancer 2004; 100:1814-1822.
Summary of Study: Proteomic changes in NAF plasma were taken
before and after paclitaxel or FAC (5-fluorouracil, doxorubicin,
and cyclophosphamide) chemotherapy in patients with Stage I - III
breast carcinoma to measure response to the chemotherapy. Samples
of healthy women were taken also, to help identify breast
carcinoma-associated protein markers.
Full Abstract
An Example Analysis Using Cromwell, Coombes et al 2005
To show how to use Cromwell, one of our current analysis packages,
we've created an example using serum quality control (QC) data derived
from the Pusztai et al 2004 dataset. The Cromwell package is
decribed in Coombes et al, Proteomics 2005; to appear.
An earlier version of this paper is available as a
Technical Report (UTMDABTR-001-04).
Quality
Control Study for Proteomics of Nipple Aspirate Fluid
The development of the Cromwell package in Coombes et al,
(Proteomics 2005; to appear. See also the preliminary
Technical
Report (UTMDABTR-001-04)) used a set of 24 SELDI spectra that were
collected from a pooled (quality control) sample of nipple aspirate
fluid from breast cancer patients and healthy controls.
Simulated Proteomics Spectra for Method Development and Comparison,
Morris et al.
In our paper on
using the mean spectrum for peak finding and
quantification, we simulated hundreds of proteomics data sets. We
used the simulated data to compare the results of two different
processing algorithms. The data sets are available here so other
people can compare their algorithms to ours on a standard data set
where the truth is known about what peaks are in each spectrum.
Additional Proteomics Resources
For analyzing proteomic data, we currently use
- The
Cromwell Package (MATLAB scripts developed here).
- Cromwell uses the
Rice Wavelet Toolbox (MATLAB; precompiled binaries exist for
many platforms).
Microarrays
- Microarray Data
- Supplement to:
Wang J, Coombes KR, Highsmith WE, Keating MJ, Abruzzo LV.
Differences in gene expression between B-cell chronic lymphocytic
leukemia and normal B cells: a meta-analysis of three microarray
studies. Bioinformatics. Bioinformatics. 2004; 20:3166-78.
- MDA133: Clinical Data and dChip MBEI value Files
- Supplement to: Hess, et. al, Pharmacogenomic Predictor of
Sensitivity to Preoperative Chemotherapy With Paclitaxel and
5-Fluorouracil, Doxorubicin, and Cyclophosphamide in Breast Cancer,
Journal of Clinical Oncology, 24 (26), 2006.
The latest version of this file include "molecular class" information
on a subset of 82 cases; the methods used to derive these classes are
described in: this paper.
- MDA133: CEL files for Predictor Training and Validation Data Sets
- Supplement to: Hess, et. al, Pharmacogenomic Predictor of
Sensitivity to Preoperative Chemotherapy With Paclitaxel and
5-Fluorouracil, Doxorubicin, and Cyclophosphamide in Breast Cancer,
Journal of Clinical Oncology, 24 (26), 2006.
- Normalizer Array and Probe Sensitivity Index File
- This zip file has a digital standard Affymetrix U133A v1 array, a dChip Probe Sensitivity Index file, and instructions for using dChip as a common normalizing method for Breast Cancer Samples.
The code for
performing diagonal linear discriminant analysis on this data set
is also available.
- Replicate RNA hybridizations
- Supplementary data for: Anderson K, Hess KR, Kapoor M, Tirrell S,
Courtemanche J, Wang B, Wu Y, Gong Y, Hortobagyi GN, Symmans WF,
Pusztai L. Reproducibility of gene expression signature-based
predictions in replicate experiments. Clin Cancer Res 2006;12:1721-7.
- CEL files for MDACC-FNA-CBX-74
- This zip file contains CEL files and sample matching information
for: Bianchini, G., Qi, Y., Alvarez, R.H., Iwamoto, T., Coutant, C.,
Ibrahim, N.K., Valero, V., Cristofanilli, M., Green, M.C., Radvanyi, L.,
Hatzis, C., Hortobagyi, G.N., Andre, F., Gianni, L., Symmans, W.F. and
Pusztai, L. Molecular Anatomy of Breast Cancer Stroma and Its Prognostic
Value in Estrogen Receptor-Positive and -Negative Cancers, Journal of
Clinical Oncology, Published online before print August 30, 2010.
- CEL files for 19 breast cancer cell lines
- Description pending.
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