608 PROBE ELECTROSPRAY IONIZATION-MASS SPECTROMETRY AND BAYESIAN STATISTICS: A POTENTIAL OF NOVEL CANCER DIAGNOSTICS SYSTEM IN RENAL CELL CARCINOMA

Abstract

You have accessJournal of UrologyKidney Cancer: Basic Research (IV)1 Apr 2013608 PROBE ELECTROSPRAY IONIZATION-MASS SPECTROMETRY AND BAYESIAN STATISTICS: A POTENTIAL OF NOVEL CANCER DIAGNOSTICS SYSTEM IN RENAL CELL CARCINOMA Takashi Yamagishi, Kentaro Yoshimura, Hidenori Zakohji, Takayuki Tsuchida, Mizuya Fukasawa, Kunio Tanabe, Kenzo Hiraoka, Sen Takeda, and Masayuki Takeda Takashi YamagishiTakashi Yamagishi Chuo-city Yamanashi, Japan More articles by this author , Kentaro YoshimuraKentaro Yoshimura Chuo-city Yamanashi, Japan More articles by this author , Hidenori ZakohjiHidenori Zakohji Chuo-city Yamanashi, Japan More articles by this author , Takayuki TsuchidaTakayuki Tsuchida Chuo-city Yamanashi, Japan More articles by this author , Mizuya FukasawaMizuya Fukasawa Chuo-city Yamanashi, Japan More articles by this author , Kunio TanabeKunio Tanabe Shinjuku Tokyo, Japan More articles by this author , Kenzo HiraokaKenzo Hiraoka Chuo-city Yamanashi, Japan More articles by this author , Sen TakedaSen Takeda Chuo-city Yamanashi, Japan More articles by this author , and Masayuki TakedaMasayuki Takeda Chuo-city Yamanashi, Japan More articles by this author View All Author Informationhttps://doi.org/10.1016/j.juro.2013.02.159AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookTwitterLinked InEmail INTRODUCTION AND OBJECTIVES Probe electrospray ionization (PESI) is an ambient ionization technique that uses a very fine acupuncture needle for ionization. PESI has several unique advantages; requiring only small amount of sample (pL level), no need of particular pre-treatments, and immediate acquisition of a mass spectra [K. Hiraoka, 2007]. To analyze the obtained mass spectra, we employed the dual penalized logistic regression machine (dPLRM), which is a Bayesian inference-based learning machine and automatically give a probabilistic prediction by referring the training data set [K. Tanabe, 2001]. This method can easily discriminate a constellation of cancer-specific spectrum from whole spectra. Hence, the combination of PESI and dPLRM will be a novel, simple, rapid and easy method for cancer diagnosis [S. Takeda, 2012]. METHODS Samples were obtained from 51 patients (male 35, female 25, unknown 1, mean 61.9 years) with full informed consent of each patients, and Ethical Committee Approval of University of Yamanashi, School of Medicine. All specimens were obtained from resected kidney tissues after surgery, snap frozen, and stored in −80 Celcius degree. We used 32 cancerous regions and 19 noncancerous regions. All cancerous specimens had pathological diagnosis of clear cell Renal Cell Carcinoma (ccRCC). These tissue specimens were measured by PESI mass spectrometry (PESI-MS) without any pretreatments. RESULTS All ccRCC tissues in the current study showed typical pathological feature; a well-known lipid storage in the cytoplasm. We could successfully obtain distinct profiles of lipids in cancerous region, in which triacylglycerol (TAG) dominated, as confirmed by PESI mass spectra. By analyzing these spectra with dPLRM, we obtained complete coincidence with pathological diagnosis. CONCLUSIONS These results demonstrate the usefulness of PESI-MS combined with dPLRM to the diagnostics of RCC as a rapid screening technique. For higher accuracy of judgments, further study with a large number of samples is now under way. © 2013 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 189Issue 4SApril 2013Page: e248-e249 Advertisement Copyright & Permissions© 2013 by American Urological Association Education and Research, Inc.MetricsAuthor Information Takashi Yamagishi Chuo-city Yamanashi, Japan More articles by this author Kentaro Yoshimura Chuo-city Yamanashi, Japan More articles by this author Hidenori Zakohji Chuo-city Yamanashi, Japan More articles by this author Takayuki Tsuchida Chuo-city Yamanashi, Japan More articles by this author Mizuya Fukasawa Chuo-city Yamanashi, Japan More articles by this author Kunio Tanabe Shinjuku Tokyo, Japan More articles by this author Kenzo Hiraoka Chuo-city Yamanashi, Japan More articles by this author Sen Takeda Chuo-city Yamanashi, Japan More articles by this author Masayuki Takeda Chuo-city Yamanashi, Japan More articles by this author Expand All Advertisement Advertisement PDF downloadLoading ...