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Accession Number ADA566785
Title Novel Prostate Cancer Pathway Modeling using Boolean Implication.
Publication Date Sep 2012
Media Count 46p
Personal Author D. Sahoo J. Lipsick J. D. Brooks J. R. Pollack
Abstract Prostate cancer is the second most common cause of cancer deaths in men. We explore relationship between genes based on our novel approaches BooleanNet and MiDReG in prostate cancer and correlate them to patient information. Human prostate cancer is typically characterized by luminal cell expansion and the absence of basal cells. In normal prostate, tissue basal cells express Keratin 5 (KRT5) and Keratin 14 (KRT14). In the microarray datasets of primary prostate cancers, we observe a robust pattern where KRT14 high samples are always KRT5 high, but not vice versa. We summarize this in the form of a Boolean relationship: 'KRT14 high => KRT5 high'. We identified three groups of patients in three independent prostate cancer gene expression microarray datasets: KRT14-KRT5-, KRT14-KRT5+, and KRT14+KRT5+. Recurrence-free survival analysis of these three independent datasets revealed that KRT14-KRT5- patients have the worst, KRT14+KRT5+ patients have the best, and KRT14-KRT5+ patients have intermediate clinical outcome. Based on this data, we predict that KRT14+KRT5+ cells are upstream of KRT14-KRT5+ cells, which could be upstream of KRT14- KRT5- luminal cells in normal prostate tissue.
Keywords Cells(Biology)
Clinical medicine
Prostate cancer

Source Agency Non Paid ADAS
NTIS Subject Category 57E - Clinical Medicine
57F - Cytology, Genetics, & Molecular Biology
Corporate Author Stanford Univ., CA.
Document Type Technical report
Title Note Annual summary 15 Aug 2010-14 Aug 2012.
NTIS Issue Number 1307
Contract Number W81XWH-10-1-0500

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