You have accessJournal of UrologyProstate Cancer: Markers II1 Apr 2015MP6-03 A NOVEL BIOMARKER SIGNATURE WHICH MAY PREDICT AGGRESSIVE DISEASE IN AFRICAN-AMERICAN MEN WITH PROSTATE CANCER Kosj Yamoah, Michael Johnson, Voleak Choeurng, Kasra Yousefi, Zaid Haddad, Robert Den, Priti Lal, Michael Feldman, Adam Dicker, Eric Klein, Elai Davicioni, Timothy Rebbeck, and Edward Schaeffer Kosj YamoahKosj Yamoah More articles by this author , Michael JohnsonMichael Johnson More articles by this author , Voleak ChoeurngVoleak Choeurng More articles by this author , Kasra YousefiKasra Yousefi More articles by this author , Zaid HaddadZaid Haddad More articles by this author , Robert DenRobert Den More articles by this author , Priti LalPriti Lal More articles by this author , Michael FeldmanMichael Feldman More articles by this author , Adam DickerAdam Dicker More articles by this author , Eric KleinEric Klein More articles by this author , Elai DavicioniElai Davicioni More articles by this author , Timothy RebbeckTimothy Rebbeck More articles by this author , and Edward SchaefferEdward Schaeffer More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.02.250AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Numerous studies have reported a significantly higher incidence of PCa and/or adverse pathological features associated with African-American men compared to European-American men. Less however is known about the genomic disparities that exist between these two groups. In this report we compared the race-specific expression of biomarkers linked to PCa pathogenesis in a matched cohort of AA and EA men. METHODS PCa data from AA and EA patients were analyzed from four medical centers. Cases were matched based on CAPRA-S within each institution for a total sample size of 300 (121-AA; 179-EA). The distribution of mRNA expression levels of 20 validated biomarkers associated with PCa initiation and progression was compared by race using a false-discovery-rate adjusted Mann-Whitney U, and logistic regression models. Conditional logistic regression models were used to evaluate the interaction between race and biomarker expression for predicting pathologic T3 PCa. RESULTS Of 20 biomarkers interrogated, 6 showed statistically significant differential expression in AA compared with EA men in one or more statistical models. These include TMPRSS2-ERG (p<0.001), AMACR (p<0.001), SPINK1 (p=0.005), AR (p=0.018), SRD5A2 (p=0.005), and GSTP1 (p=0.021). Dysregulation of MYCBP (p=0.043) increases risk of pT3 disease in AA but decreases the risk in EA men, while the reverse is true for AMACR (p=0.013), TMPRSS2-ERG (p=0.026), FOXP1 (p=0.016), and GSTP1 (p=0.032). Loss-of-function mutation for tumor suppressors PTEN (p=0.046), TP53 (p=0.042), and RB1 (p=0.027), and dysregulation of AR (p=0.015), EZH2 (p=0.043), NKX3-1 (p=0.024), SRD5A2 (p=0.032), and SPOP (p=0.032) increased risk of pT3 disease for both AA and EA men. CONCLUSIONS We have identified a subset of PCa biomarkers that predict risk of clinico-pathologic outcomes in a race-dependent manner. These biomarkers may in part explain the biological contribution to racial disparity in PCa outcomes between EA and AA men. © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 4SApril 2015Page: e55 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Kosj Yamoah More articles by this author Michael Johnson More articles by this author Voleak Choeurng More articles by this author Kasra Yousefi More articles by this author Zaid Haddad More articles by this author Robert Den More articles by this author Priti Lal More articles by this author Michael Feldman More articles by this author Adam Dicker More articles by this author Eric Klein More articles by this author Elai Davicioni More articles by this author Timothy Rebbeck More articles by this author Edward Schaeffer More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
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