MP88-06 EXPLORATION OF BIOMARKERS ASSOCIATED WITH PROGNOSIS IN PATIENTS WITH CLEAR CELL RENAL CELL CARCINOMA UNDERGOING SURGICAL RESECTION BY DESORPTION ELECTROSPRAY IONIZATION IMAGING MASS SPECTROMETRY

Abstract

You have accessJournal of UrologyKidney Cancer: Basic Research & Pathophysiology III1 Apr 2018MP88-06 EXPLORATION OF BIOMARKERS ASSOCIATED WITH PROGNOSIS IN PATIENTS WITH CLEAR CELL RENAL CELL CARCINOMA UNDERGOING SURGICAL RESECTION BY DESORPTION ELECTROSPRAY IONIZATION IMAGING MASS SPECTROMETRY Keita Tamura, Makoto Horikawa, Takayuki Sugiyama, Hideaki Miyake, and Mitsutoshi Setou Keita TamuraKeita Tamura More articles by this author , Makoto HorikawaMakoto Horikawa More articles by this author , Takayuki SugiyamaTakayuki Sugiyama More articles by this author , Hideaki MiyakeHideaki Miyake More articles by this author , and Mitsutoshi SetouMitsutoshi Setou More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2018.02.2926AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Proteome analysis has become one of the major approaches for the investigation of biomarkers predicting the prognosis of various types of malignant tumor, while metabolome analysis has recently been introduced in this field as the novel promising approach. Despite being widely spread for the screening of small biomolecules, conventional mass spectrometry (MS) analysis using tissue lysate cannot clearly distinguish between the cancerous and non-cancerous tissues; thus, there is a risk for obtaining false positive candidates. In this study, we applied desorption electrospray ionization imaging mass spectrometry (DESI-IMS), a novel molecular anatomy technique, to analyze a broad range of lipids in specimens from patients with clear cell renal cell carcinoma (CCRCC) to identify biomarkers that can predict the prognosis in these patients. METHODS Paired samples of the cancerous and normal renal cortex tissues were obtained from a total of 31 patients with CCRCC undergoing surgical resection. The DESI-IMS analyses of thinly sectioned samples were performed in negative ion mode with Xevo G2-XS (Waters, US). We picked up the ions showing 1.5 times higher signal intensity on the cancerous tissue compared with the normal tissue using High Definition Imaging software, and identified the molecules with LIPID MAPS database. We also analyzed the impact of candidate molecules on the overall survival (OS) in these 31 CCRCC patients. RESULTS The ions of m/z 187.10 (azelaic acid), m/z 279.23 (linoleic acid), m/z 281.25 (oleic acid), m/z 329.25 (docosapentaenoic acid), m/z 389.24 (not assigned), m/z 391.26 (not assigned), m/z 773.53 (PG (36:2)) were identified as the candidate biomarkers. Of these biomarkers, the low signal intensity of oleic acid as well as the high signal intensity of m/z 391.26 appeared to be significantly associated with the OS in the 31 patients with CCRCC. CONCLUSIONS In this study, we first identified seven lipid molecules specifically elevated on the cancerous tissue of CCRCC, and found the significant impacts of the signal intensities of oleic acid and m/z 391.26 on the prognosis of CCRCC patients undergoing surgical resection. Although future prospective study with a larger sample size will be required, these findings provide new insights for early diagnosis and prognostic prediction in patients with CCRCC. © 2018FiguresReferencesRelatedDetails Volume 199Issue 4SApril 2018Page: e1199 Advertisement Copyright & Permissions© 2018MetricsAuthor Information Keita Tamura More articles by this author Makoto Horikawa More articles by this author Takayuki Sugiyama More articles by this author Hideaki Miyake More articles by this author Mitsutoshi Setou More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...