Abstract
You have accessJournal of UrologyOutstanding Posters: Research1 Apr 2014OP1-02 THE ASSOCIATION BETWEEN MIF-173 G>C POLYMORPHISM AND PROSTATE CANCER IN SOUTHERN CHINESE. Ninghong Song and Huang Su Ninghong SongNinghong Song More articles by this author and Huang SuHuang Su More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2014.02.610AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Accumulating epidemiological and molecular evidence suggests that inflammation is an important component in the etiology of PCa. Macrophage migration inhibitory factor (MIF) plays an important role in the pro- and anti-inflammatory response to infection. This study is aimed at investigating the potential association between MIF-173 G>C polymorphism, Gleason score, clinical stage, and prostate-specific antigen (PSA) value with respect to PCa incidence among the Han nationality in Southern China. METHODS Genotyping was performed by using tetraprimer polymerase chain reaction (PCR) on 259 PCa patients and 301 cancer-free controls. RESULTS We found that the MIF-173*C variant allele was significantly associated with an increased risk of PCa [adjusted odd ratio (OR) = 2.99, 95% confident interval (CI): 1.94-4.60] and higher Gleason scores from the PCa subjects (adjusted OR = 10.72, 95% CI: 5.35-21.49). In addition, we noted that the MIF -173*C variant allele was related to higher clinical stages and PSA values in PCa patients (adjusted OR = 15.68, 95% CI: 7.40-33.23; adjusted OR = 4.37, 95% CI: 2.41-7.92, respectively). CONCLUSIONS Our data suggest that MIF-173 polymorphisms may be associated with a higher incidence of prostate cancer compared to controls, and appears to be associated with higher Gleason scores, higher clinical stages, and PSA values in those with prostate cancer. © 2014FiguresReferencesRelatedDetails Volume 191Issue 4SApril 2014Page: e162 Advertisement Copyright & Permissions© 2014MetricsAuthor Information Ninghong Song More articles by this author Huang Su More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...
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