Abstract

You have accessJournal of UrologyBladder Cancer: Epidemiology & Evaluation I1 Apr 2016MP01-13 ANTI-PPP1CA AUTOANTIBODY DETECTED BY PROTEOMICS ANALYSES IS ASSOCIATED WITH BIOLOGICAL AGGRESSIVENESS AND POOR PROGNOSIS IN PATIENTS WITH BLADDER CANCER Shuhei Hirano, Kazumasa Matsumoto, Sho Minami, Morihiro Nishi, Ken ichi Tabata, Tetsuo Fujita, Yuichi Sato, and Masatsugu Iwamura Shuhei HiranoShuhei Hirano More articles by this author , Kazumasa MatsumotoKazumasa Matsumoto More articles by this author , Sho MinamiSho Minami More articles by this author , Morihiro NishiMorihiro Nishi More articles by this author , Ken ichi TabataKen ichi Tabata More articles by this author , Tetsuo FujitaTetsuo Fujita More articles by this author , Yuichi SatoYuichi Sato More articles by this author , and Masatsugu IwamuraMasatsugu Iwamura More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2016.02.1843AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Tumor-associated antigens released into the bloodstream induce a humoral immune response and generate autoantibodies. The immune response to such antigens generates marked biological amplification even though tumor-associated antigens are undetectable in sera at the early stage of tumorigenesis. Hundreds of tumor-associated antibodies have been identified, and the potential utility of autoantibodies as a novel biomarker for cancer diagnosis has been discussed. Recent studies based on autoantibody profiling of cancer patients have suggested that autoantibodies could serve not only as diagnostic biomarkers but also as prognostic biomarkers. We performed 2-dimensional gel electrophoresis combined with immunoblot analysis, using patients' sera as the first antibody, to identify tumor-associated antigenic proteins that elicit a humoral response in sera from patients with bladder cancer. METHODS We identified tumor-associated proteins that were recognized by autoantibodies in sera from patients with high-grade nonmuscle invasive bladder cancer by proteomic analysis. We detected 94 immunoreactive spots in total. The serum levels of these autoantibodies against identified proteins were validated by dot blot analysis with sera from 95 patients with bladder cancer and 35 normal controls. RESULTS Based on the results of the proteomic approaches and database or literature-based information, PPP1CA was selected. PPP1CA autoantibodies were significantly higher in patients with bladder cancer than in normal controls (p < 0.001). The serum IgG levels of anti-PPP1CA autoantibody were significantly correlated with the pathological stage, grade, lymphovascular invasion, and prognosis (p < 0.05, respectively). Based on ROC analysis of anti-PPP1CA autoantibody, an optimal cutoff value of 49.0 was applied. The diagnostic sensitivity and specificity for patients with bladder cancer were 64.2% and 65.7%, respectively. The AUC for anti-PPP1CA autoantibody in patients with bladder cancer compared to normal controls was 0.72 (95% CI: 0.68-0.76). Multivariable analysis with Cox proportional hazards regression analysis revealed that the serum IgG levels of anti-PPP1CA autoantibody and pathological stages were significantly correlated with cancer-specific survival (HR: 4.06 and 0.02, 95% CI: 1.2-13 and 1.2-7.9, p < 0.05, respectively). CONCLUSIONS The correlations between clinicopathological parameters and serum autoantibody levels for PPP1CA were evaluated in patients with bladder cancer. It was revealed that anti-PPP1CA is a candidate sero-diagnostic and sero-prognostic marker for bladder cancer. © 2016FiguresReferencesRelatedDetails Volume 195Issue 4SApril 2016Page: e6 Advertisement Copyright & Permissions© 2016MetricsAuthor Information Shuhei Hirano More articles by this author Kazumasa Matsumoto More articles by this author Sho Minami More articles by this author Morihiro Nishi More articles by this author Ken ichi Tabata More articles by this author Tetsuo Fujita More articles by this author Yuichi Sato More articles by this author Masatsugu Iwamura More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...

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