PD46-01 TUMOR VOLUME LESS THAN 2.5 ML IS A SIGNIFICANT CUT OFF VALUE OF PROGNOSIS IN HIGH RISK PROSTATE CANCER PATIENTS

Abstract

You have accessJournal of UrologyProstate Cancer: Detection and Screening V1 Apr 2015PD46-01 TUMOR VOLUME LESS THAN 2.5 ML IS A SIGNIFICANT CUT OFF VALUE OF PROGNOSIS IN HIGH RISK PROSTATE CANCER PATIENTS Shinichi Sakamoto, Ayumi Muroi, Nobusghige Takeshita, Ken Wakai, Shuhei Kamda, Takeshi Namekawa, Miki Fuse, Koji Kawamura, Takashi Imamoto, Naoki Nihei, and Tomohiko Ichikawa Shinichi SakamotoShinichi Sakamoto More articles by this author , Ayumi MuroiAyumi Muroi More articles by this author , Nobusghige TakeshitaNobusghige Takeshita More articles by this author , Ken WakaiKen Wakai More articles by this author , Shuhei KamdaShuhei Kamda More articles by this author , Takeshi NamekawaTakeshi Namekawa More articles by this author , Miki FuseMiki Fuse More articles by this author , Koji KawamuraKoji Kawamura More articles by this author , Takashi ImamotoTakashi Imamoto More articles by this author , Naoki NiheiNaoki Nihei More articles by this author , and Tomohiko IchikawaTomohiko Ichikawa More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.02.2732AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES High risk prostate cancer potentially cause unfavorable prognosis. Recent PSA screening has been associated with significant decline in tumor volume. However, question arises whether small tumor volume in high risk prostate cancer associated with better prognosis? Here we studied relationship between tumor volume and PSA recurrence after radical prostatectomy, focusing on patients with high-risk prostate cancer. METHODS The study cohort included 450 patients who underwent radical prostatectomy at Chiba University Hospital. Tumor volume was calculated by scanning the cross-sections of pathological specimens and measuring tumor area using Image J software. Cox hazard analysis, Logistic regression analysis and the Kaplan-Meier method were used for statistical analysis. RESULTS Of the 450 patients, 85 patients were classified as high risk prostate cancer. The median age was 68 years. The median PSA was 13.4 ng/mL. Distributions of pT2/T3/T4 were 31/42/2, respectively. The mean follow-up period was 25.9 months. On univariate analysis, % Tumor Volume (HR 2.589, p=0.038), Extra-capsular extension (HR 8.68, p=0.008), Surgical margin positivity (HR 13.55, P=0.001) are associated with PSA recurrence. Furthermore, related to Tumor volume (TV), TV<1.5ml (HR 1.69E+09, p=0.014) and TV<2.5ml (HR 5.247, p=0.006) were significantly associated with PSA recurrences, while TV<0.5ml or TV<3.5ml were not significantly associated (p=0.288, p=0.184, respectively). On multivariate analysis, TV<2.5ml was the only factor significantly associated with PSA recurrence (HR 12.40, p=0.029). On logistic regression analysis, TV were associate with PSA (p=0.016), PSAD (p=0.004), Gleason Score (p=0.046), Extra-capsular extension (p=0.048), Surgical margin positivity (p=0.005) and seminal vesicle invasion (p=0.02). In Kaplan-Meier analysis, TV<2.5ml showed the most prolonged PSA recurrence free survival (p=0.013) compare to other cut of value, including TV<0.5 (p=0.4485), TV 1.5 (p=0.071) and TV<3.5 (p=0.1885). CONCLUSIONS The present study showed that TV (<2.5ml) was the most significant prognostic factor among all clinical factors in high risk prostate cancer patients. Our data indicates that, even in high risk prostate cancer, when TV was less than 2.5ml, patient may have favorable prognosis. © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 4SApril 2015Page: e956 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Shinichi Sakamoto More articles by this author Ayumi Muroi More articles by this author Nobusghige Takeshita More articles by this author Ken Wakai More articles by this author Shuhei Kamda More articles by this author Takeshi Namekawa More articles by this author Miki Fuse More articles by this author Koji Kawamura More articles by this author Takashi Imamoto More articles by this author Naoki Nihei More articles by this author Tomohiko Ichikawa More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...