prostate: 4 prostate cancer studies

Description

4 prostate cancer studies comparing three classes: normal, primary, metastasis.

Data Name	Published Year	Array Platform	Sample Size
GEO Accession ID	Lapointe	2004	cDNA
112	GSE3933	Yu	2004
HG-U95Av2	108	GSE6919	Varambally
2005	HG-U133 Plus 2	19	GSE3325
Tomlins	2007	cDNA	76
GSE6099	Data Name	Published Year	Array Platform

Usage

prostate

Arguments

Format

A list containing 4 matrices. Each matrix is gene expression data after gene filtering.

Source

Gene Expression Omnibus (GEO)

References

Lapointe, J., Li, C., Higgins, J. P., Van De Rijn, M., Bair, E., Montgomery, K., Ferrari, M., Egevad, L., Rayford, W., Bergerheim, U. et al. (2004). Gene expression profiling identifies clinically relevant subtypes of prostate cancer. Proceedings of the National Academy of Sciences of the United States of America 101 811.

Yu, Y. P., Landsittel, D., Jing, L., Nelson, J., Ren, B., Liu, L., McDonald, C., Thomas, R., Dhir, R., Finkelstein, S. et al. (2004). Gene expression alterations in prostate cancer predicting tumor aggression and preceding development of malignancy. Journal of Clinical Oncology 22 2790.

Varambally, S., Yu, J., Laxman, B., Rhodes, D. R., Mehra, R., Tomlins, S. A., Shah, R. B., Chandran, U., Monzon, F. A., Becich, M. J. et al. (2005). Integrative genomic and proteomic analysis of prostate cancer reveals signatures of metastatic progression. Cancer cell 8 393-406.

Tomlins, S. A., Mehra, R., Rhodes, D. R., Cao, X., Wang, L., Dhanasekaran, S. M., Kalyana-Sundaram, S., Wei, J. T., Rubin, M. A., Pienta, K. J. et al. (2006). Integrative molecular concept modeling of prostate cancer progression. Nature genetics 39 41-51.