Abstract
Prostate cancer is the most diagnosed cancer and the second leading cause of cancer death among men in the United States. Ability to detect this cancer early and availability of better prognostic markers are critical in order to decrease morbidity and mortality of prostate cancer. With the recent development in gene expression analysis methodology, expression profiles of thousands of genes can be generated in tissue samples and cell lines. Comparison of the global gene expression patterns between normal prostate and tumors at different stages may allow us to understand better the molecular mechanism of prostate tumorigenesis and progression. Different cancer cell lines and tissues appear to have different gene expression patterns that provide a new tool to classify tumors. Molecular classification of prostate cancer holds great promise for early detection and prognosis of this disease in the future. In this review, we summarize some of the recent mRNA and protein expression profiling studies performed in prostate cancer. Further, we discuss the potential benefits and limitations of current profiling technology.
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Feroze-Merzoug, F., Schober, M.S., Chen, Y.Q. (2002). Molecular profiling in prostate cancer. In: Cher, M.L., Raz, A., Honn, K.V. (eds) Prostate Cancer: New Horizons in Research and Treatment. Developments in Oncology, vol 81. Springer, Boston, MA. https://doi.org/10.1007/0-306-48143-X_3
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DOI: https://doi.org/10.1007/0-306-48143-X_3
Publisher Name: Springer, Boston, MA
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