Application of Genomic Technologies to Human Prostate Cancer

Stanford University, Stanford, California, United States
Omics A Journal of Integrative Biology (Impact Factor: 2.36). 02/2006; 10(3):261-75. DOI: 10.1089/omi.2006.10.261
Source: PubMed


Prostate cancer is the most commonly diagnosed non-cutaneous malignancy in U.S. males and has a broad spectrum of clinical behavior ranging from indolent to lethal. Microarray technology has provided unprecedented opportunity to explore the genetic processes underlying prostate cancer by providing a comprehensive survey of a cell's transcriptional landscape. Prostate cancer, however, has posed significant challenges that have contributed to inconsistent results between studies and difficulty replicating findings. Despite these challenges, several important insights have been gained along with new clinical biomarkers of diagnosis and prognosis. Continued improvements in methods of tissue preparation, microarray technology and data analysis will overcome existing challenges and fuel future discoveries.

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    • "However each of these tests suffers from signiicant limitations in sensitivity and speciicity. New biomarkers are needed for prostate cancer diagnosis and treatment planning (Li et al. 2006, Graif et al. 2007, Esserman et al. 2009). Newly developed single gene biomarkers, such as initially highly promising prostate cancer antigen 3 (PCA3), are still under investigation. "
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    ABSTRACT: Identification of biomarkers that can accurately and reliably diagnose prostate cancer is clinically highly desirable. A novel classification method, K-closest resemblance was applied to several high-quality transcriptomic datasets of prostate cancer leading to the discovery of a panel of eight gene biomarkers that can detect prostate cancer with over 96% specificity and sensitivity in leave-one-out cross-validation. Independent validation on clinical samples confirmed the discriminatory power of this gene panel, yielding over 95% accuracy of diagnosis based on receiver-operating characteristic curve analyses. Different levels of validation of the proposed biomarker panel have shown that it allows extremely accurate diagnosis of prostate cancer. Application of this panel can possibly add a fast and objective tool to the pathologist's arsenal following further clinical testing.
    Full-text · Article · Oct 2010 · Biomarkers