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| Gene Expression Correlates of Clinical Prostate Cancer Behavior |
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| Project | Prostate Cancer |
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| Abstract | |
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 Prostate tumors are among the most heterogeneous of cancers, both histologically and with respect to highly divergent clinical outcomes. We used oligonucleotide array-based expression analysis to determine whether global biological differences underlie common pathological features of prostate cancer and to identify genes that might prove useful in anticipating the clinical behavior of this common disease. Robust expression differences between tumor and normal samples allowed for the development of accurate class prediction models that were validated in an independent data set. While no expression correlates of age, serum PSA, and measures of local invasion were found, a set of 29 genes including multiple TGF-beta targets was identified that strongly correlated with the state of tumor differentiation (Gleason Score). Finally, a model built using the expression of 5-genes accurately predicted patient outcome following prostatectomy. These results, taken together, support the notion that the clinical behavior of prostate cancer is genetically determined, and that these genetic determinants, or markers thereof, are detectable at the time of diagnosis. |
| Authors | Dinesh Singh, Phillip G. Febbo, Kenneth Ross, Donald G. Jackson, Judith Manola, Christine Ladd, Pablo Tamayo, Andrew A. Renshaw, Anthony V. D'Amico, Jerome P. Richie, Eric S. Lander, Massimo Loda, Philip W. Kantoff, Todd R. Golub, William R. Sellers.
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| Publication Date | 03/01/2002 |
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Contact emails |
Phil_Febbo@dfci.harvard.edu
William_Sellers@dfci.harvard.edu
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| Publication URL | http://www.cancercell.org/cgi/content/full/1/2/203 |
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| Citation | Cancer Cell: March 2002, Vol. 1. |
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| Keywords | oligonucleotide array; oncology; prostate cancer; gene expression |
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