2234 A COMMON GENETIC VARIANTS BASED RISK PREDICTION MODEL FOR PROSTATE CANCER IS HIGHLY REPRODUCIBLE IN JAPANESE, AND COMPENSATES FOR PROSTATE SPECIFIC ANTIGEN AT GRAY-ZONE (2013)

You have accessJournal of UrologyProstate Cancer: Markers (II)1 Apr 20132234 A COMMON GENETIC VARIANTS BASED RISK PREDICTION MODEL FOR PROSTATE CANCER IS HIGHLY REPRODUCIBLE IN JAPANESE, AND COMPENSATES FOR PROSTATE SPECIFIC ANTIGEN AT GRAY-ZONE Shusuke Akamatsu, Ryo Takata, Atsushi Takahashi, Michiaki Kubo, Christopher Haiman, Brien Henderson, Tomoaki Fujioka, Tomonori Habuchi, Yusuke Nakamura, Osamu Ogawa, and Hidewaki Nakagawa Shusuke AkamatsuShusuke Akamatsu Vancouver, Canada More articles by this author , Ryo TakataRyo Takata Morioka, Japan More articles by this author , Atsushi TakahashiAtsushi Takahashi Yokohama, Japan More articles by this author , Michiaki KuboMichiaki Kubo Yokohama, Japan More articles by this author , Christopher HaimanChristopher Haiman Los Angeles, CA More articles by this author , Brien HendersonBrien Henderson Los Angeles, CA More articles by this author , Tomoaki FujiokaTomoaki Fujioka Morioka, Japan More articles by this author , Tomonori HabuchiTomonori Habuchi Akita, Japan More articles by this author , Yusuke NakamuraYusuke Nakamura Tokyo, Japan More articles by this author , Osamu OgawaOsamu Ogawa Kyoto, Japan More articles by this author , and Hidewaki NakagawaHidewaki Nakagawa Yokohama, Japan More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.2143AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Prostate specific antigen (PSA) is widely used as a diagnostic biomarker for prostate cancer (PC). However, due to its low predictive performance, especially at the “gray zone” level, many patients without PC suffer from the harms of unnecessary prostate needle biopsies. The present study aims to evaluate the reproducibility and performance of a genetic risk prediction model and estimate its utility as a diagnostic biomarker in a clinical scenario. METHODS We created a logistic regression model incorporating 16 common genetic variants that were significantly associated with PC in a genome-wide association study of the Japanese. The model was validated by two independent sets of samples comprising 3,294 cases and 6,281 controls, and also by Japanese samples from the Multiethnic Cohort in Hawaii and California (MEC, 980 cases and 1,005 controls). Various cut offs were evaluated to be used in a clinical scenario. RESULTS The areas under curve (AUC) of the model were 0.679 for the samples used to create the model, and 0.655, 0.661 and 0.655 (MEC) for those used for validation respectively. The risk prediction score was not correlated with PSA (r2= 0.02), and the AUC of the model was not significantly altered in samples with PSA 1-10 ng/ml. 24.2% and 9.7% of the patients had odds ratio <0.5 (low risk) or >2 (high risk) in the model, and assuming the overall positive rate of prostate needle biopsies to be 20% in PSA gray zone, the positive biopsy rates were 10.7% and 42.4% respectively for the two genetic risk groups. CONCLUSIONS The genetic risk prediction model was highly reproducible, and its predictive performance was not influenced by PSA. The model could have a potential to be a compensatory biomarker when it is applied to patients with gray-zone PSA, which should be confirmed in future clinical studies. © 2013 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 189Issue 4SApril 2013Page: e916 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.MetricsAuthor Information Shusuke Akamatsu Vancouver, Canada More articles by this author Ryo Takata Morioka, Japan More articles by this author Atsushi Takahashi Yokohama, Japan More articles by this author Michiaki Kubo Yokohama, Japan More articles by this author Christopher Haiman Los Angeles, CA More articles by this author Brien Henderson Los Angeles, CA More articles by this author Tomoaki Fujioka Morioka, Japan More articles by this author Tomonori Habuchi Akita, Japan More articles by this author Yusuke Nakamura Tokyo, Japan More articles by this author Osamu Ogawa Kyoto, Japan More articles by this author Hidewaki Nakagawa Yokohama, Japan More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...