MP45-06 COMPARISON BETWEEN WHOLE MOUNT TISSUE PREPARATIONS AND VIRTUAL TISSUE MICROARRAY SAMPLES FOR MEASUREMENT OF KI-67 AND APOPTOSIS INDICES IN HUMAN BLADDER CANCERS

Abstract

You have accessJournal of UrologyBladder Cancer: Basic Research II1 Apr 2015MP45-06 COMPARISON BETWEEN WHOLE MOUNT TISSUE PREPARATIONS AND VIRTUAL TISSUE MICROARRAY SAMPLES FOR MEASUREMENT OF KI-67 AND APOPTOSIS INDICES IN HUMAN BLADDER CANCERS Hisashi Oshiro, Bogdan Czerniak, Kentaro Sakamaki, Koji Tsuta, Jolanta Bondaruk, Afsaneh Keyhani, Colin Dinney, Takeshi Nagai, and Ashish Kamat Hisashi OshiroHisashi Oshiro More articles by this author , Bogdan CzerniakBogdan Czerniak More articles by this author , Kentaro SakamakiKentaro Sakamaki More articles by this author , Koji TsutaKoji Tsuta More articles by this author , Jolanta BondarukJolanta Bondaruk More articles by this author , Afsaneh KeyhaniAfsaneh Keyhani More articles by this author , Colin DinneyColin Dinney More articles by this author , Takeshi NagaiTakeshi Nagai More articles by this author , and Ashish KamatAshish Kamat More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2015.02.1504AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Little is known about the differences in the Ki-67 index (KI) and apoptosis index (AI) determined using tissue microarray (TMA) samples and conventional whole mount tissue preparations (WMTPs) of human bladder cancers. The aim of the present study was to investigate the degree of discrepancy between the 2 different types of samples. METHODS Using WMTPs of Ki-67 immunohistochemistry and terminal deoxynucleotidyl transferase dUTP nick end labeling obtained from 30 bladder cancer patients, we created virtual TMA samples consisting of 1-mm and 0.6-mm diameters. In each sample, the most highly reactive areas (hot spots) were digitally photomicrographed and more than 999 neoplastic cells were counted to determine KIs and AIs. The data from the WMTPs and virtual TMAs were analyzed by Bland-Altman plot, ordinary least-squares regression and Kendall's tau. Fixed bias was argued if the 95% confidence interval (CI) for the mean value of difference did not include 0. Proportional bias was argued if the slope of the straight-line regression equation of differences on means differed significantly from 0. RESULTS Almost all differences between the 2 types of samples were plotted within the lines of limits of agreement for both KI and AI. However, fixed biases were detected in the 1-mm-diameter TMA samples regarding the KI (0.1808; 95% CI: 0.1368 - 0.2248), 0.6-mm-diameter TMA samples regarding the KI (0.2220; 95% CI: 0.1763 - 0.2677), 1-mm-diameter TMA samples regarding the AI (0.05495; 95% CI: 0.03596 - 0.07395), and 0.6-mm-diameter TMA samples regarding the AI (0.06250; 95% CI: 0.04328 - 0.07935). Proportional biases were also detected in the 1-mm-diameter TMA samples regarding the AI (slope: 0.7717, P=0.0001) and 0.6-mm-diameter TMA samples regarding the AI (slope: 0.7977, P<0.0001). Furthermore, positive correlations between KIs and AIs were observed in WMTPs (r=0.260, P=0.044) and the 1-mm-diameter TMA samples (r=0.375, P=0.004); however, no correlation was observed in the 0.6-mm-diameter TMA samples (r=0.200, P=0.121). CONCLUSIONS The present study suggests that KIs and AIs obtained from TMA-based samples are susceptible to systematic bias, and the lack of correlation between KIs and AIs cannot be avoided in smaller samples obtained for TMA. © 2015 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 193Issue 4SApril 2015Page: e537 Advertisement Copyright & Permissions© 2015 by American Urological Association Education and Research, Inc.MetricsAuthor Information Hisashi Oshiro More articles by this author Bogdan Czerniak More articles by this author Kentaro Sakamaki More articles by this author Koji Tsuta More articles by this author Jolanta Bondaruk More articles by this author Afsaneh Keyhani More articles by this author Colin Dinney More articles by this author Takeshi Nagai More articles by this author Ashish Kamat More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...